CA1221418A - Method and machine for metering electric parameters - Google Patents

Method and machine for metering electric parameters

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Publication number
CA1221418A
CA1221418A CA000446240A CA446240A CA1221418A CA 1221418 A CA1221418 A CA 1221418A CA 000446240 A CA000446240 A CA 000446240A CA 446240 A CA446240 A CA 446240A CA 1221418 A CA1221418 A CA 1221418A
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Canada
Prior art keywords
electric parameter
demand
values
instantaneous
current
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Expired
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CA000446240A
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French (fr)
Inventor
Clyde Gilker
Naresh K. Nohria
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McGraw Edison Co
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McGraw Edison Co
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Publication of CA1221418A publication Critical patent/CA1221418A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00Arrangements for measuring electric power or power factor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/02Measuring effective values, i.e. root-mean-square values
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00Arrangements for measuring electric power or power factor
    • G01R21/133Arrangements for measuring electric power or power factor by using digital technique

Abstract

ABSTRACT

The electric parameter metering machine comprises electric parameter pickup circuitry for sensing the instantaneous analog amplitude value of an electric parameter waveform in at least one phase in an electric power distribution system at selected time intervals during each full cycle, an A/D converter for converting the analog amplitude values to digital signals and signal processing circuitry including a memory for storing the digital signals. The signal processing circuitry includes a microprocessor operable to apply a conventional waveform analysis technique to the digital signal information collected with respect to a selected number of cycles of the electric parameter waveform to obtain an instantaneous RMS value of the electric parameter and operable to process a sequence of instantaneous RMS electric parameter values at discrete time intervals to obtain time averaged or demand electric parameter values. A visual display device is coupled to the signal processing circuitry and a pushbutton control panel is coupled to the signal processing circuitry for enabling an operator to operate pushbuttons to provide a digital readout of either instantaneous RMS, demand, or peak demand values on the visual display device.

Description

i 8 *P&8~ 91 MET~OD AND MAC~INE FOR METERING E~ECTRIC PAR~METERS
~. .. ._ .. . .__ . _ .. _ ~__ Technical ~ield The present invention relates to a method and meter ing machine for use by electric utilities in monitoring instantaneous RMS, demand and peak demand values of electric parameters in various power lines. The present ~nvention particularl~ relates to the metering of voltage, current and power o all phases of three phase high voltage, 2.4 - 30 kilovolt power line in a distribution system.

10 ~2~
The electric parameters of voltage, current and power generally describe the varying state of a power line in a distribution system. Voltage and current vary sinusoidally at a generally constant power line frequency of 60 cycles in the United States~ Power is a product of the voltage and ~urrent. While the amplitudes of voltage and current vary sinusoidally the root mean squa~e ~RMS) value of voltage is regulated to nearly a constant value. Current RMS fluctuates widely in response to loads b~ng added or subtracted in the system. The nature of the load c~n cause the phase angle between the voltage and current to fluctuate and an attempt is made to regulate the phase angl~ fluctua~ion within bounds.
The instantaneous RMS values of a electric parameter are not particularly useful in determining how hard distribution equipment is being worked~ The ~limit of allowable work for most distribution equipment is generally determined by its heat dissipation ability. Distribution equipment has heat capacity allo~ing a piece of equipment to absorb energy for later dissipation. The absorption and dissipation of equip-ment in response to a change in power is exponential in . A ~, ' . _ ~ 8 ~P8~ 91 nature. To appropriately monitor how hard distributionequipment is being worked, or the demand level, the metering dev;ce must resp4nd to changes in power values exponentially.
Given usual conditions, the level of demand is proportional to the demand value of current. In the following discussion~
current is primarily used as the example of how demand is monitor2d.
Demand current i~ a parameter that utilities want ~o monitor since it tends to diminish the effects of short duration instantaneous RMS current excursions from the avera~e RMS value of the current caused by switching loads and associated transients. The purpose is to measure ~urrent in such a way that the me~er's registered value is a measure of load as it af~ects the heating (and therefore the load-carrying capacity~ of the electrical equipment in a distribu-tion system. Often lagged or demand current values are used in conjunction with voltage values to provide demand power.
Demand power meters can indicate either real or reactive power or both real and reactive power. Also, of course, it is desir-abletoknowwha~instan~aneous~MScurrentisatanypointintime.
Heretofore electromechanical meters known asthermal demand meters were utilized for determining demand current which is an exponentially averaged current having a selected time constant, showing the effects of the change in instantaneous RMS current as loads are switched on and off a line. The time constant is often selected so that 90% of a step change is registered in 15 minutes. The thermal demand meters use an element which moves when it is heated by current and this movement of the thermal element will approximate the exponential buildup of heat in power distribution e~uipment.

A~cordingly, for some time now, thermal demand meters have been utilized since the thermal expansion of the thermal P~38~ gl .
element as it is heated by current causes it to mimic the generally exponential heating and cooling response of power distribution equipment.
Examples of demand meters and how they are utilized by electric utilities are described on pages 4S8-462 in the Electric Utility Engineering Reference Book entitled Distribution Systems, Vol. III, by Elec~ric Utility Engineers of the Westi~ghouse Electric Corporation, East Pittsburgh, Pennsylvania.
Another demand meter is disclosed in the Sangamo Product Bulletin 10215 Efective April, 1982 entitled "K300 Analyzed Load Metern.
Other systems which make measurements of current, power, volts, amperes and, in some instances, demand current, are also disclosed in the following U.S. Patents:
U.S. PATENT NO. PATENTFE
3,505,506 J. Kostalos, Jr.
3,747,068 Bruner et al.
3,911,3~9 Metcalf 4,041,28B Conway et al.
4,077,061 Johns~on et al.
4/125,895 Buhlmann 4,229,795 Vieweg et al 4,236~217 Kennedy 4,253,151 Bouve 4,263,653 Mec~lenburg 4,272,816 Matsumoto 4,291,376 McCahill 4,356,553 Steinle et al.
Re.28,706 Dorey DISCLOSURE OF INVENTION
The current metering machine of the present inven-~ion differs from these prior art current, voltage and power 01 measuring systems, referred to above, by providing a 02 current metering machine which does not use a thermal 03 element Eor evaluating or measuring demand current.
04 Instead, analog samples of the current amplitude 3re 05 digitized and processed in microprocessor means to 06 provide instantaneous RMS current values. Storage means, 07 associated with the microprocessor, records present 08 instantaneous RMS and demand current values and maintains 09 a record of the maximum or peak demand current value.
Line voltages generally fluctuate in a relatively narrow 11 band about the nominal line voltage. It is therefore 12 desirable and customary to maintain a record of the 13 highest and lowest instantaneous RMS line voltages so 14 that a utility can be aware of reoccurring consumer burn out and brown out problems. In con-trast, minimum demand 16 current is not normally maintained as a record since it 17 need not be symptomatic of a consumer problem.
18 Digitized instantaneous current amplitudes are 19 processed by microprocessor means to generate an instantaneous RMS current value of the line currents.
21 This may be accomplished by determining the Fourier 22 coefficients in a Fast Fourier Transform process. ~he 23 instantaneous RMS current values are further manipulated 24 within the microprocessor means to generate simulated thermal demand meter values. Simulated thermal demand 26 meter values can be generated by employing a variety of 27 algorithms which describe, or closely approach, 28 exponential thermal responses and can be treated as 29 demand current.
Further, as will be described in greater detail 31 hereinafter, a control panel and visual display device 32 are provided so that a readout can be obtained of 33 instantaneous ~IS current, demand current or peak demand 34 current. Empirical ~P8~-11491 tests have shown that the demand current determined using the microprocessor and the program therein for applying a quasi exponential algorithm provides essentially the same exponen-tial curve that would be obtained by using a thermal demand meter or an exponential algorithm.
According to the invention there is provided a method for metering a electric parameter for example current comprising the steps of: censing the instantaneous analog amplitude value of a current waveform in at least one phase in an electric powex distri~ution system a~ selected time inter-vals during each full cycle; converting the analog amplitude values to digital amplitute signals; storing the digital amplitute signals in a memory in, or associated with, said signal processing ~ircuitry to which the signals are supplied;
applying a conventional waveform analysis technique to the digital ampLitute signal..information.collected with respect to a selected number of cycles of the current waveform to obtain an instantaneous RMS value of the current; averaging with selected algorithms a ~equence of instantaneous RMS current values at discrete time intervals to obtain time averaged or demand current values; storing the values of the instantaneous RMS and demand current and maintaining a record of the peak demand current value; and providing visual display mean~ and control means coupled to the processing circuitry for enabling an operator ~o operate the control means to provide a readout of either the instantaneous ~MS current, demand current or peak demand current.
Further according to the invention there is provided a current metering machine comprising: means for sensing the instantaneou~ analog amplitude value of a current waveform in at least one phase in an electric power distri~ution ~ystem at selected time intervals during each full cycle; means for ~LY~
01 converting the analog amplitude values to diyi-tal 02 amplitude siynals; signal processing circuitr~ includin-J
03 a memory Eor storing the digital amplitude signals and 04 values derived -therefrom, said signal processiny 05 circuitry being operable -to apply a conventional waveform 06 analysis technique to the digital amplitude signal 07 information collected with respec-t to a selected number 08 of cycles of the current waveform to obtain an 09 instantaneous RMS value of the current and being operable to average with a selected algorithm, a sequence of 11 instantaneous RMS current values at discrete time 12 intervals to obtain a time averaged or demand current 13 values; further being operable to determine the peak 14 value of successive demand current values; and visual display means coupled to said signal processing circuitry 16 and; control means coupled to said signal processing 17 circuitry for enabling an operator to operate the control 18 means to provide a digital readout of ei-ther the 19 instantaneous RMS current, the demand current, or the peak demand current on said visual display.
21 BRIEF DESCRIPTIO~ OF DRAWI~GS
_ _ 22 Fig. 1 is a schematic circuit diagram of the 23 current measuring machine of the present invention, 24 Fig. 2 is a view of the preferred visual display device to be used with the machine shown in Fig. 1 26 showing alternate display formats.
27 Fig. 3 is a graph of instantaneous current and 28 demand current vs. time where the demand is substantially 29 constant.
Fig. 4 is a graph of instantaneous current and 31 demand current vs. time where there are significant 32 changes in -the demand current over a period of time.
33 Fig. 5 is a condensed flowchart of the protocol or 34 program carried out by the microprocessor shown in Fig. 1 for determining demand current.

X

01 Fiy. 6 is a sc~hematic circuit diagram of the 02 reserve backup battery powered power suppl~ Eor the 03 current measuring machine shown in Fig. 1.

05 Referring now to the drawin~s in greater detail 06 there is illustrated in Fig. 1 a metering machine 10 07 constructed in accordance with the teachings of -the 08 present invention. The electric parameter metering 09 machine shall first be discussed in terms of current.
The current metering machine 10 is par-ticularly adapted 11 for use with a three phase high voltage power 12 distribution system.
13 The machine 10 has four inputs 11, 12, 13 and 14 14 which are connected to conventional current pickup circuits such as the type that include a current 16 transformer coupled to the power line, and a circuit 17 coupled to the secondary winding of the current 18 transformer which then has an output that is supplied to 19 a respective one of the inputs 11, 12, 13, or 14. Such a system is isolated from the power line by the current 21 transformers. Alternatively, the current pickup circuit 22 can take various forms known in the art.
23 In one preferred embodiment of the current 24 metering machine 10, it is contemplated that the inputs 11, 12, 13 and 14 would be coupled to the phase current 26 pickup and sensing circuits in a recloser control circuit 27 such as those shown in U.S. patents 3,100,854 or 28 3,405,318. Such recloser circuits are adapted to sense 29 the phase currents Elowing in the line and when there is a fault current sensed, the recloser opens to open 31 circuit the power line and then recloses after a short 32 period of time to see if the fault has been removed from 33 the line whereby power can be restored. In such a 34 recloser control circuit, AC phase current is sensed and supplied to one of the inputs, e.g. input 11, of the X

~L22~
01 current metering machine 10. As shown, it i8 assumed 02 that this is phase A of a three phase syste~l having 03 phases A, B ancl C. Then, input 12 for phase B is 04 connected to the current pickup circuit in a recloser 05 control circuit for phase B of the power distribution 06 system. Likewise, input 13 is connected to the current 07 pickup circuit in a recloser control circuit for phase C
0~ and Einally, input 14 is connected to the current pickup 09 circuit in a recloser control circuit for the ground phase G. The present invention is of course suitable for 11 use with other power distribution equipment such as 12 voltage regulator controls.
13 The current signals supplied to each of the inputs 14 11-14 are passed through a long term overload and transients protection circuit 21, 22, 23 or 24 as shown.
16 Each of these protection circui-ts 21-24 includes a first 17 resistor Rl, a capacitor C, a double ZENER diode Z and a 18 second resistor R2 connected as shown. The current 19 signals are filtered by -the Rl, C combination, having a time constant of about 1 millisecond, to prevent 21 transient voltages from being imposed on other components 22 of the current metering machine 10. The breakover 23 voltage of the ZENER diode should be selected to be about 24 equal to the bus voltage of the other components of current metering machine 10 to protect them against 26 longer duration overvoltages.
27 Each o~ the protection circuits 21-24 has an 28 output 31-34 which is fed to a multiplexer 40.
29 Multiplexer 40 selectively passes one of the amplitude signals to the sample and hold circuit 42. The sample 31 and hold circuit 42 selectively samples the amplitude 32 signal at difEerent points during each cycle. The analog 33 sample of the amplitude signal is then held for a 34 preselected period of time and is the output of the X

01 sample and hold 42 circuit. The output ~ro~l the sample 02 and hold circuit 42 is then fed to an A/D converter ~4 03 where the analog value i9 converted to a digital 04 amplitude value. This digital amplitude value is 05 presented to an input 46 of microprocessor 48. Such 06 microprocessor 48 has connected thereto or associated 07 therewith random access memory and read only memory. The 08 read only memory can also be a PROM, i.e~ a programmable 09 read only memory, or an EEPROM, electrically erasable programmable read only memory. Preferably, the memory is 11 an EEPROM, which is an easily changeable non-vola-tile 12 type memory. The content of a non-volatile memory will 13 be main-tained although its power supply is interrupted 14 for an extended period. Typically parameters for processing data and significant results of data 16 manipulation such as instantaneous RM~, demand and peak 17 demand current values can be stored in non-volatile 18 memory.
19 A control panel 50 is coupled to the microprocessor 48 and has a plurality of, namely eight, 21 pushbutton switches 51-58. Each pushbutton switch 51-58 22 includes a pushbutton, one of which is shown in Figure 1, 23 and identified by the reference numeral 60 for connecting 24 through a resistor 62 to the common neutral or ground 64 of the current metering machine 10. Again, although one 26 pushbutton 60 and resistor 62 are shown in Fig. 1, each 27 pushbutton switch 51-58 has a pushbutton 60 and resistor 28 62 associated therewith.
29 The multiplexer 40, the sample and hold circuit 42, the A/D converter 44 and the microprocessor 48 are 31 all considered as comprising signal processing circuitry 32 70 for processing the analog signals received at the 33 inputs 11, 12, 13 and 14.
34 Also coupled to the microprocessor 48 is a visual display device 68 which is indicated as being of the type 36 _ 9 _ X

*P8~ 91 which provides a light emitting diode (LED) display. The versatility of visual display device is illustrated in Figure
2 hy showing alternate formats for identifying the parameter value displayed. Other visual displays such as liquid crystal or flourescent displays could be used but are not regarded as being superior to LED type displays because of higher power demands or lower contrast. Six character digital displays can be presented with the display device 68. Each character in the display will be provided by LED segments which preferably are in a conventional 7 segment numeric character display ~ arrangement. The firs~ character for each row indicates the current parameter being metered for example instantaneous current I. ~he second character indicates the phase, whether it be phase A, B, C, or ground G. The next four characters indicate the value of the current parameter being metered.
The meter readout on the visual display device 68 is achieved by pressing one of the phase buttons 51-53 or the ground button 54 and the type of current button, 55 for instantaneous current, 56 for demand current or 57 or peak demand current, to obtain a readout of the particular current parameter desired. Reset button 58 clears the stored peak demand value from memory. Once a peak demand current is recorded by an operator, it need no longer be stored in machine memory. Activating reset button 58 clears the stored peak value and allows the recording of a new peak demand current in machine memory. ~he visual display device 68 and the microprocessor 48 will hold the current parameter display on the visual display device 68 for a short period of time after the respective button switches 51-57 are releasedO
Also it is contemplated tha~ the visual display device 68 and the signal processing circuitry 70 may include cycling means circuitry and methods~not shown) for causing ~ *P88~ 91 respective current parameters to be shown cyclically and continuously on the visual display device 68 and automatically updated. For example, the instantaneous R~S current~ the demand current and the peak demand current for phase A could all be shown sequentially and held for a short period of time on the visual display device 68. Then, the same current parameters for the current in phase B would be shown for a short ~ime and then so on to phase C and the ground phase. The control panel 50 ~n~ ass~ciated control circuitry would only be used to override the display being shown on the cycling ~ visual display device 68 when it is desired to immediately meter another line.
Referring now to Fig. 3 there is illustra~ed therein a graph of instantaneous curren~, namely the RMS value of the AC current flowing in a particular line, as it fluctuates over a period of time. Here, the ~S current fluctuations cancel so that the dema~d current is represented by a hori~ontal line.
Fig. 4 is a graph of instantaneous current and demand current vs. time where a large load is put on the line and then a large load îs abruptly taken off the line. Eere the demand current curve responds exponentially to the instantan-eous RMS current corresponding to the thermal response of the distribution equipment.
The current metering machine 10 in processing analog input current signals received at inputs 11-14 and related to the line currents in lines A, B~ C and G irst conditions the analog current signals in the protection circuits 21-24.
Then, the filtered currents are fed to the multiplexer 40.
Assuming that the microprocessor 48 is one that does not have internal sample and ho:Ld and A/D converting circuitry, the output of the multiplexer 40 is fed to the sample and hold circuit 42 and then to the A/D converter 44.

*P88-11491 The components such as the multiplexer 40, sample and hold 42, A/D converter 44 and microprocessor 48 are connected and programmed so that 16 instantaneous analog current amplitude values are sensed during each full cycle of the current waveform being measured. This current waveform has a undamenta~ frequency of 60 Hz. With 16 samplings per cycle per phase, this means that a sampling is done about every 260 microseconds.
The analog samples are converted by the A/D conver-ter 44 to digital signals which are ~upplied to the micropro-cessor 48 and stored in a random access memory. ~he microprocessor 48 is programmed to take samples for 32 conse-cutive cycles and then to reconstruct the fundamental wave from the amplitude values samples. In other words, ~he first sample per cycle for each of the 32 cycles are added together and divided by 32 to give an average first sample value and so on until 16 average sample values are obtained. Micropro cessor 48 is programmed to apply a conventional waveform synthesis and analysis techniques such as a discrete Fourier analysis, of the type described in Electrical Engineerin~
Circuits by H. H. Skilling published by John Wiley & Sons, Inc., N. Y., N.Y., 1957 to reconstruct t~e fundamental wave from the averaged sample. Of course, other waveform syntheses can be used such as those employing peak sensing and zero crossing detection.
Discrete Fourier analysis is used to determine the coefficient of the fundamental component of the alternating current waveform from which the instantaneous RMS value of the current for that phase is determined.

The microprocessor 48 is programmed to determine a new instantaneous RMS current value every 10 seconds. The instantaneous RMS current is stored in memory from whch it may ~.
01 be retrieved on command. Once the instantaneous ~MS
02 current in a phase is determined, it is used to generate 03 a new demand current value. The new demand current value 04 is then also stored in memory Eor reca:Ll on request 05 through control panel 50. If the new demand current 06 value is larger than the peak demand current value stored 07 for its phase, it replaces the stored peak demand 08 current. The values of the demand current calculated 09 approximate the exponential thermal response of electrical distribution equipment and in accordance wi-th 1l prior thermal electromechanical meters, reflect 90~ of 12 the ultimate demand current change fifteen minutes after 13 a step change in instantaneous RMS current values.
14 The demand current value follows the instantaneous RMS curren-t value with a smoothing effect and also a time 16 delay. The graph in Fig. 4 shows the effect on demand 17 current of a gradually changing instantaneous RMS current 18 followed by a step decrease in instantaneous ~MS current.
19 The concept of demand current is utilized in metering by electric utilities to eliminate the effects 21 of short term rapid variations in a instantaneous RMS
22 current which often fluctuates. This is done by using a 23 means which will only slowly respond to changes in the 24 instantaneous RMS current value. Typically an element with an effective ability to store energy (e.g. a thermal 26 mass having a heat capacity or a capacitor) is used to 27 obtain a desired time constant.
28 Two algorithms have been developed to generate 29 this type of demand current value and can be referred to as a pseudo-exponential algorithm, and an exponential 31 algorithm.
32 A pseudo~exponential algorithm that can be used by 33 the microprocessor 48 is defined as follows:
34 IDo + (Ii-IDo)I/N ~ID
where Ii = the new instantaneous RMS current 'X

01 IDo = the demand cur~e~ s~ ~ d at the start of 02 the calculation 03 N = a divisor related to averaging time and which 04 fits the progression 2, 4, 8, 16, 32.
05 ID = the new demand current 06 -~ = a programming symbol meaning the number 07 determined to the leEt of the arrow is placed in or 08 assigned to the symbol to the right of the arrow 09 A timer associated with the microprocessor 48 calls up the pseudo-exponential algorithm on a regular 11 basis for updating the determined value of demand current 12 every 10 seconds. Next the stored demand current is 13 fetched from memory with the instantaneous RMS current.
14 Then, the instantaneous RMS current has the stored demand current substracted from it and the result is divided by 16 N. This quantity constitutes the change in the demand 17 current required. The change is added to the stored 18 demand current value to give the new demand current value 19 which then replaces the stored demand current in memory.
The value of N is typically selected to make 21 division by an N shift operation in the microprocessor 22 program. The value of N and the frequency with which the 23 algorithm is used determine the effective time constant 24 of the response of demand to changes in instantaneous RMS
2~ current levels. The demand period, when the meter will 26 reflect 90~ of a step change of instantaneous RMS
27 current, will often be between one and sixty minutes.
28 The usual demand period is fifteen minutes. To obtain 29 the fifteen minute demand period the value of demand is updated every 10 seconds and N is 32. It is more 01 practical to change the frequency with which demand is 02 updated than to change N. If a demand period of thirty 03 minutes were desired, der[land should be updated every 20 0~ seconds.
05 A exponential algori-thm that can be used by the 06 microprocessor is an exact exponential. However, this 07 algorithm requires multiplication or division operations, 08 or both, that are time consuming in a digital format and 09 may not be as preferable an algorithm as the pseudo-exponential algorithm. In any event, the digital 11 exponential algorithm is defined as follows:
12 Ii+(IDo-Ii) e kt_~ ID
13 where Ii= the ins-tantaneous RMS current at start 14 of an exponential calculation period, IDo= the demand current at start of an 16 exponential calculation period, 17 e = 2.72, 18 k = a term related to the demand period, 19 t = a term proportional to the time since the last significant change in Ii, which increases each time this 21 algorithm is run for a given Ii, 22 ID = the new demand current, 23 -~ = a programming symbol meaning the number 24 determined to the left of the arrow is placed in or assigned to the symbol to the right of the arrow.
26 It is to be noted that kt becomes larger each time 27 the algorithm is run and the term e~kt becomes smaller.
28 If the quantity Ii-IDo~ namely the difference between 29 the instantaneous and the demand currents is constant during an exponential calculation period, the term e~
31 becomes vanishingly small. As a result, ID is only 32 negligibly different from Ii.

01 If, however, in this algorithm the new 02 instantaneous current Ii differcl ~rom the immediately 03 previous instantaneous current Ii by more than 1~, or 04 some other significant selected amount, the va]ue o~ t 05 should be set to zero. The algorithm will thereafter 06 con-tinue to be applied to the digital current signal 07 information from the new initial time. A value of 08 k=0.0003 will result in a fifteen minute demand period.
09 In Fig. 5 is illustrated a simplified flow chart of the demand program for the pseudo-exponential 11 algorithm implemented by the microprocessor 48. Here the 12 demand program first obtains the new instantaneous RMS
13 current value. As stated above, the instantaneous RMS
14 current is determined for an average of 32 cycles with 16 samples per cycle. Then it obtains the demand current 16 stored value. Next, it determines the difference between 17 instantaneous RMS and demand currents and divides by ~ to 18 determine the incremental change in demand current. The 19 incremental change in demand is now added to the stored demand current and f ;nally the new demand current is 21 stored in the register for being recalled and displayed 22 on the visual display 68. At the completion of the 23 demand program the microprocessor 48 is available for 24 other tasks.
In the event a volatile memory is utilized by the 26 microprocessor 48, or to make certain that the metering 27 machine 10 continues functioning when line voltage is 28 lost such as when a power outage occurs, a reserve backup 29 battery powered power supply 100 can be provided for the microprocessor 48 as is shown in Fig. 6. This power 31 supply 100 includes a potential transformer 102 for 32 picking Up power from an AC line which could be a 120 33 volt consumer supply line. The output of the potential 34 transformer 102 is supplied to a diode bridge circuit 104 which has a maximum voltage output of 24 volts to provide 36 ~ - 16 -01 a -trickle current charge to a SiX volt battery 106. This 02 power supply then has an output of 5 volts a~d if power 03 is lost across the bridge, a regulated 5 volt output is 04 provided from the six volt battery until AC power is 05 restored.
06 E'rom the foregoing description it will be 07 appreciated that ~he current metering machine 10 of the 08 present invention provides an electronic current metering 09 and readout of both instantaneous RMS current, demand current and peak demand current which have heretofore 11 been provided by thermal demand meters. Empirical tests 12 have shown that using the algorithms described above, 13 particularly the pseudo-exponential algorithm, provides a 14 demand current value which is substantially the same as the demand current value obtained with a prior art 16 thermal demand meter. However, the current metering 17 machine 10 of the present invention provides a much lB simpler and less expensive means, apparatus or machine 19 for providing a readout, in this case a digital readout, of not only demand current but also instantaneous current 21 and peak demand current.
22 The circuitry and algorithms, above described, 23 used to produce a current meter having instantaneous RMS
24 current, demand current and peak demand current capabilities, may with slight modification be used to 2~ produce a voltage meter with analogous capabiliti~s. rrhe 27 principal modification would be the substitution of 28 potential transformers for current transformers. At 29 present, such a demand voltage meter would not have as wide employment as the demand current meter. However, 31 use of instantaneous RMS voltage values in conjunction
3~ with corresponding instantaneous RMS current values and 33 the phase angle existing between them may be used to 34 produce demand power meters. Such demand meters would in manner analogous to 01 -the above describecl current meter have capabilities in 02 the instantaneous RMS power, demand power and, mini.murn 03 and maximum demanc1 power a~eas. The power vcllues 04 indica-ted could be either real, reactive or, apparent.
05 Several modifications of the demand curren-t meter, to 06 enable it to indicate power, are all well within the 07 skill of the art. The phase current and voltage 08 amplitudes may each alternately be sampled 16 times each 09 cycle for 32 cycles and averaged as above. 'rhe averaged current and voltage amplitudes are then used to generate 11 a Fourier transformed signal representing the line 12 voltages and currents with an appropriate shift of 7 13 electrical degrees to compensate for the difference 14 between sample times. The Fourier transformed signals represent the instantaneous RMS voltage and current 16 values with the phase angle relationship between them.
17 These instantaneous RMS signals can be used to generate 18 the demand voltage, current, and power values by an 19 exercise of ordinary skill in light of this written description. For example, the instantaneous RMS current 21 and voltage values could ~e multiplied to obtain apparent 22 instantaneous RMS power. Using apparent instantaneous 23 RMS power either the psuedo exponential or exponential 24 algorithm could be used to obtain apparent demand power for each phase. If real or reactive power were desired, 26 the initial multiplication need only include the 27 appropriate trigonometric function value for the phase 28 angle between the current and voltage. If reasonable 29 assumptions concerning the relative constant value of phase voltages are 01 made, multiplication of a demand current value by t'he 02 instantaneous vo:ltages wou:Ld be a good approximation to 03 demand power.
04 The method and machine of this invention may be 05 employed for metering purposes above or, be employed in 06 combination with existiny power distribution control 07 equipment. Where existing power distribution control 08 equipment employs microprocessor means for control, 09 little modification of the control method or equipment would be required to practice this invention as well as 11 control functions. Such combined metering and control 12 methods and equipment is envisioned by the inventors 13 herein. In particular the present invention is expected 14 to be employed with the invention described in the above incorporated "Smart Voltage Regulating TransEormer".
16 It will be appreciated from the foregoing 17 description that modifications can be made to the 18 electric parameters metering machine and the method oE
19 utilizing same to obtain instantaneous RMS, demand and peak demand current, voltage or power without departing 21 from the teachings of the invention. Accordingly, the 22 invention is only limited as necessitated by the 23 accompanying claims.

Claims (46)

THE EMBODIMENTS OF THE INVENTION IN WHICH AN
EXCLUSIVE PROPERTY OR PRIVILEGE IS CLAIMED ARE DEFINED AS
FOLLOWS:
1. A method for metering electric parameters comprising the steps of: sensing the instantaneous analog amplitude value of an electric parameter waveform in at least one phase in a electric power distribution system at selected time intervals during each full cycle;
converting the analog amplitude values to digital signals; storing the digital signals in a memory in, or associated with, signal processing circuitry to which the signals are supplied; applying a conventional waveform analysis technique to the digital signal information collected with respect to a selected number of cycles of the electric parameter waveform to obtain an instantaneous RMS value of the electric parameter;
processing with a selected algorithm a sequence of instantaneous RMS electric parameter values at discrete time intervals to obtain a time averaged or demand electric parameter value; storing the instantaneous RMS
and demand values of the electric parameter; and providing visual display means and control means coupled to the processing circuitry for enabling an operator to operate the control means to provide a readout of either the instantaneous RMS or demand electric parameter value.
2. The method of claim 1 including the steps of:
continually sensing analog amplitudes of an electric parameter in two or more phases; multiplexing the analog amplitudes of the electric parameter; sequentially digitizing the multiplexed amplitudes of the electric parameter by sampling and holding the multiplexed amplitudes for a sufficient period for digitizing to be completed; storing the digitized amplitude values for each phase in signal processing memory for said selected number of cycles; and performing the remaining steps on each phase electric parameter to obtain readouts of the electric parameter for each phase.
3. The method of claim 1 further including the steps of: storing the demand electric parameter value in a peak area of memory; comparing the next value of the demand electric parameter with that stored in the peak area; and storing the larger of the two values of the demand electric parameter in the peak area of memory; and further enhancing said visual display means and control means to enable an operator to obtain a readout of a peak demand electric parameter value stored in the peak area of memory.
4. The method of claim 1 wherein said conventional waveform analysis technique is a discrete Fourier analysis which is utilized to determine the coefficients of the power line frequency fundamental sinusoidal wave of the electric parameter waveform for the electric parameter being measured.
5. The method of claim 1 wherein each digital amplitude signal associated with a selected time interval is summed into a selected area of said memory for said selected number of cycles; and divided by said selected number of cycles to obtain an averaged digital amplitude signal on a per cycle basis, before applying a conventional waveform analysis technique of a Fourier Transform variety, to obtain said instantaneous RMS
electric parameter values.
6. The method of claim 1 wherein said processing of the instantaneous RMS electric parameter values at discrete time intervals includes the application of a pseudo-exponential algorithm to instantaneous RMS

electric parameter values to obtain a demand values of the electric parameter.
7. The method of claim 6 wherein said pseudo-exponential algorithm is defined as follows:

PDO + (Pi-PDO) 1/N ? PD
where Pi = instantaneous RMS electric parameter value, PDO = the stored demand electric parameter value, PD = the new demand electric parameter value, N = a divisor related to averaging time which is a power of 2, ? = a programming symbol meaning the number determined to the left of the arrow is placed in or assigned to the symbol to the right of the arrow.
8. The method of claim 6 wherein the pseudo-exponential algorithm is called up on regular intervals by a timer, associated with, or situated in, said processing circuitry, and a new demand electric parameter value is calculated by subtracting the stored demand electric parameter value from the instantaneous RMS electric parameter value and dividing by N to find the change in the demand electric parameter values and adding that change in demand electric parameter values to the stored demand electric parameter value to obtain the new demand electric parameter value.
9. The method of claim 1 wherein said processing of the instantaneous RMS electric parameter values at discrete time intervals includes the application of an exponential algorithm to the instantaneous RMS electric parameter values to obtain a demand values of the electric parameter.
10. The method of claim 9 wherein said exponential algorithm is defined as follows:
Pi + (PDO - Pi) e-kt ? PD
where Pi = instantaneous RMS electric parameter value at start of an exponential calculation period, PDO = the stored electric parameter demand value at the start of an exponential calculation period, PD = the new demand electric parameter value, e = 2.72, k = a term related to the demand period, t = a term proportional to the time since the last significant change in Pi, which increases each time this algorithm is run for a given Pi, ? = a programming symbol meaning the number determined to the left of the arrow is placed in or assigned to the symbol to the right of the arrow.
11. The method of claim 1 wherein the electric parameter is current.
12. The method of claim 7 including the steps of:
continuously sensing analog amplitudes of current and voltage in at least one phase; multiplexing the analog amplitudes of current and voltage; sequentially digitizing the multiplexed amplitudes of current and voltage sampling and holding the multiplexed amplitudes for a sufficient period for digitizing to be completed;
storing the digitized amplitude values for current and voltage in signal processing memory for said selected number of cycles; applying a conventional waveform analysis technique to the digitized amplitude values to obtain instantaneous RMS values of current and voltage and their phase angle relationship; forming a power product of the instantaneous RMS current and voltage to obtain a instantaneous RMS power; and applying the remaining steps to the instantaneous RMS power to obtain a readout of the demand power.
13. The method of claim 1 wherein sixteen instantaneous analog amplitude values of a electric parameter are sensed per cycle.
14. The method of claim 13 wherein a conventional waveform analysis technique is applied to the average of the instantaneous analog amplitude values obtained for 32 cycles of the electric parameter waveform to obtain the instantaneous RMS electric parameter.
15. The method of claim 1 wherein the value of the instantaneous RMS electric parameter is updated and stored about every 10 seconds.
16. The method of claim 3 wherein the demand and peak demand electric parameter values are updated about every 10 seconds.
17. The method of claim 1 wherein the demand period at the end of which the demand electric parameter value reflects 90% of a step change in the instantaneous RMS value is a time period between 1 minute and 60 minutes.
18. The method of claim 17 wherein the demand period is 15 minutes.
19. The method of claim 7 wherein said discrete time interval is about 10 seconds and N is about 32.
20. An electric parameter metering machine comprising: means for sensing the instantaneous analog amplitude value of an electric parameter waveform in at least one phase in an electric power distribution system at selected time intervals during each full cycle; means for converting the analog amplitude values to digital signals; signal processing circuitry including a memory for processing and storing the digital signals, said signal processing circuitry being operable to apply a conventional waveform analysis technique to the digital signal information collected with respect to a selected number of cycles of the electric parameter waveform to obtain an instantaneous RMS value of the electric parameter and being operable to process a sequence of instantaneous RMS electric parameter values at discrete time intervals to obtain time averaged or demand electric parameter values; memory for storing the instantaneous RMS and demand electric parameter values; and visual display means and control means coupled to said signal processing circuitry for enabling an operator to operate the control means to provide a digital readout of either the instantaneous RMS or the demand electric parameter value on said visual display.
21. The machine of claim 20 including means for obtaining instantaneous analog amplitude values of the electric parameter associated with two or more phases;
means for multiplexing the analog electric parameter values for each phase; means for sampling and holding the multiplexed analog electric parameter values; means for sequentially converting instantaneous analog amplitude values to digital amplitude values and supplying the digital amplitude values to said signal processing circuitry for temporary storage in said memory for processing by said signal processing circuitry on a phase basis to obtain a readout of either the instantaneous RMS
or the demand electric parameter value for each phase on said display.
22. The machine of claim 21 wherein all three phases and a ground phase in a power distribution system are coupled to said multiplexer means by protective input circuits which are isolated from each other.
23. The machine of claim 22 wherein each protective input circuit supresses transients with filter means having a time constant of about 1 millisecond and further provides protection against long term over voltages by a double ZENER diodes.
24. The machine of claim 20 wherein said processing circuitry has a trickle charged battery powered reserve power supply for energizing said signal processing circuitry during a power outage.
25. The machine of claim 20 further including, means for storing the demand electric parameter value in a peak area of memory; means for comparing the next value of the demand electric parameter with that stored in the peak area; means for storing the larger of two values of the demand electric parameter in the peak area of memory;
and means for recalling the stored value of demand electric parameter from the peak area of memory for display of a peak demand electric parameter value on said visual display.
26. The machine of claim 20 further including;
means for storing the instantaneous RMS electric parameter value in a peak area of memory; means for comparing the next value of the instantaneous RMS
electric parameter with that stored in the peak area;
means for storing the larger of the two values of the instantaneous RMS electric parameter in the peak area of memory; and means for recalling the stored value of the instantaneous RMS electric parameter from the peak area of memory for display of a peak instantaneous RMS

electric parameter value on said visual display.
27. The machine of claim 20 wherein said conventional waveform analysis technique is a discrete Fourier analysis which is applied by said signal processing circuitry to determine the coefficients of the power line frequency fundamental sinusoidal wave of the electric parameter waveform for the electric parameter being measured.
28. The machine of claim 20 further including a non-volatile memory associated with said signal processing circuitry for storing process parameters and significant results of the process such as instantaneous RMS and demand values of the electric parameter.
29. The machine of claim 20 wherein said signal processing circuitry in processing the instantaneous RMS
electric parameter values at discrete time intervals applies a pseudo-exponential algorithm to the instantaneous RMS electric parameter values to obtain demand values of the electric parameter.
30. The machine of claim 29 wherein said pseudo-exponential algorithm is defined as follows:

PDO + (Pi-PDo) 1/N ? PD
where Pi = instantaneous RMS electric parameter value, PDO = the stored demand electric parameter value, PD = the new demand electric parameter value, N = a divisor related to averaging time which is a power of 2, ? = a programming symbol meaning the number determined to the left of the arrow is placed in or assigned to the symbol to the right of the arrow.
31. The machine of claim 29 wherein the pseudo-exponential algorithm is called up on regular intervals by a timer, associated with, or situated in, said processing circuitry, and a new demand electric parameter value is calculated by subtracting the stored demand electric parameter value from the instantaneous RMS electric parameter value and dividing by N to find the change in the demand electric parameter values and adding that change in the demand electric parameter values to the stored demand electric parameter value to obtain the new demand electric parameter value.
32. The machine of claim 20 wherein said signal processing circuitry in processing the instantaneous RMS
electric parameter values at discrete time intervals applies an exponential algorithm to the instantaneous RMS
electric parameter values to obtain a demand value of the electric parameter.
33. The machine of claim 32 wherein said exponential algorithm is defined as follows:
Pi + (PDO - Pi) e-kt ? PD
where Pi = instantaneous RMS electric parameter value at start of an exponential calculation period, PDO = demand current value at start of an exponential calculation period, e = 2.72, k = a term related to the demand period, t = a term proportional to the time since the last significant change in Pi, which increases each time this algorithm is run for a given Pi, ? = a programming symbol meaning the number determined to the left of the arrow is placed in or assigned to the symbol to the right of the arrow.
34. The machine of claim 20 wherein the electric parameters is current.
35. The machine of claim 30 including means for continuously sensing analog amplitudes of current and voltage in at least one phase; means for multiplexing the analog values of current and voltage; means for sequentially digitizing the multiplexed amplitudes of current and voltage by employing sample and hold means for sampling and holding the multiplexed amplitudes for a sufficient period for digitizing to be completed; storage means for storing the digitized amplitude values of curent and voltage for said selected number of cycles;
means for applying a conventional waveform analysis technique to the digitized amplitude values to obtain instantaneous RMS values of current and voltage and their phase angle relationship, and for forming a power product of the instantaneous RMS current and voltage values to obtain a instantaneous RMS power value for obtaining a readout of demand power values from said instantaneous RMS power values.
36. The machine of claim 20 wherein said signal processing circuitry is operable to sense about sixteen instantaneous analog amplitude values of a electric parameter per cycle.
37. The machine of claim 36 wherein said conventional waveform analysis technique is applied by said signal processing circuitry to the average of the instantaneous analog amplitude values obtained for about 32 cycles of the electric parameter waveform to obtain the instantaneous RMS electric parameter value.
38. The machine of claim 20 wherein said signal processing circuitry calculates and stores a new instantaneous RMS electric parameter value about every 10 seconds.
39. The machine of claim 25 wherein said signal processing circuitry calculates and stores demand and peak demand electric parameter values about every 10 seconds.
40. The machine of claim 20 wherein said signal processing circuitry calculates the demand electric parameter value so that the demand electric parameter value reflects 90% of a step change of instantaneous RMS
electric parameter values in a time period of between 1 minute and 60 minutes.
41. The machine of claim 40 wherein said time period is 15 minutes.
42. The machine of claim 30 wherein said discrete time interval is about 10 seconds and N is about 32.
43. The machine of claim 25 wherein said control means include a control panel including pushbutton switches which are coupled to said processing circuitry and which include a button switch for each phase electric parameter to be measured and a button switch for causing either a instantaneous RMS demand or peak demand electric parameter value in a selected phase to be displayed on the visual display means.
44. The machine of claim 20 wherein said processing circuitry includes a microprocessor having A/D
conversion means, random access memory means and read only memory means.
45. The machine of claim 20 wherein said visual display means include a light emitting diode display arrangement.
46. The machine of claim 20 wherein said visual display means includes a numeric 7 segment display for identifying the electric parameter.
CA000446240A 1983-01-28 1984-01-27 Method and machine for metering electric parameters Expired CA1221418A (en)

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