Three-phase intelligent electric energy meter and intelligent metering system thereof

By using composite gain algorithm, Kalman filtering and symmetric component method to process voltage and current signals in a three-phase electric energy meter, the problem of large errors in the measurement value of the traditional three-phase electric energy meter meter meter system is solved, and a higher accuracy of electricity metering and accurate evaluation of imbalance is achieved.

CN119667280AInactive Publication Date: 2025-03-21ZHEJIANG SONGXIA ELECTRIC METER

Patent Information

Application Number
CN202510181336.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2025-03-21
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When facing a complex power grid environment, traditional three-phase electricity metering system is difficult to accurately collect and process voltage and current signals, resulting in large errors in the measurement value and the inability to accurately calculate the active and reactive power of each phase.

Method used

The composite gain algorithm and Kalman filtering are used to process the pulse digital signals of voltage and current, and the three-phase system is decomposed with the symmetric component method to accurately calculate the active, reactive power and imbalance rates.

Benefits of technology

It improves the accuracy of power metering, can effectively deal with grid frequency fluctuations, white noise and nonlinear load interference, and comprehensively and accurately evaluate the three-phase imbalance.

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Abstract

The invention discloses a three-phase intelligent electric energy meter and an intelligent metering system thereof, relates to the technical field of three-phase electric energy meter metering, and aims to solve the technical problem that a large error exists in a measured value of a traditional three-phase electric energy meter metering system, and the three-phase intelligent electric energy meter comprises an electric energy metering unit which is used for collecting and metering three-phase voltage and three-phase current, a corresponding three-phase pulse digital quantity signal is generated; the processor module is connected with the electric energy metering unit and is used for receiving the three-phase pulse digital quantity signal and calculating to obtain voltage and current measurement values of each phase; the metering module is connected with the processor module, and is used for receiving the voltage and current measurement values, processing single-phase, two-phase and three-phase imbalance conditions, calculating an active electric energy metering value and a reactive electric energy metering value, and generating digital quantity signals of the active electric energy and the reactive electric energy; and the signal acquisition module is connected with the metering module and is used for acquiring digital quantity signals of the active electric energy and the reactive electric energy. The method has the advantage of improving the electric energy metering precision.
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Description

Technical Field

[0001] The present invention relates to the technical field of three-phase electric meter measurement, and more specifically, to a three-phase intelligent electric energy meter and an intelligent metering system thereof. Background Art

[0002] As smart grids continue to develop, three-phase smart energy meters are key equipment for power metering. Their accuracy, stability, and adaptability to complex power usage situations are crucial. In the prior art, traditional three-phase energy metering systems usually adopt relatively simple signal acquisition and processing methods. In terms of signal processing, most of them are direct sampling and basic calculation processing of voltage and current signals, lacking effective response measures for complex situations such as frequency fluctuations, white noise, and nonlinear load interference in the power grid. In terms of handling unbalanced situations, only a rough judgment can be made, and it is impossible to accurately decompose the positive sequence, negative sequence, and zero sequence components of the three-phase system to accurately assess the degree of imbalance.

[0003] A significant drawback of this technical solution is the limited metering accuracy. As the power grid environment becomes increasingly complex and various interference factors increase, traditional processing methods are difficult to accurately collect and process voltage and current signals, resulting in large errors in the measured values. In power consumption scenarios with severe three-phase imbalance, traditional energy meters cannot accurately calculate the active and reactive energy of each phase, which affects the accurate measurement of the user's actual power consumption, which may cause economic losses to the user and is not conducive to the power company's scientific power management and cost accounting.

[0004] In view of this, we propose a three-phase smart energy meter and its smart metering system. Summary of the invention

[0005] The object of the present invention is to provide a three-phase intelligent electric energy meter and an intelligent metering system thereof, so as to solve the technical problem that the measurement value of the traditional three-phase electric energy meter metering system has a large error.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a three-phase smart energy meter smart metering system, comprising: The electric energy metering unit is used to collect and measure the three-phase voltage and three-phase current, and generate corresponding three-phase pulse digital signals; The processor module is connected to the electric energy metering unit and is used to receive the three-phase pulse digital quantity signal and perform calculations to obtain the voltage and current measurement values ​​of each phase; The metering module is connected to the processor module and is used to receive the voltage and current measurement values, process the single-phase, two-phase and three-phase unbalance conditions, calculate the active electric energy measurement value and the reactive electric energy measurement value, and generate digital signals of the active electric energy and the reactive electric energy; The signal acquisition module is connected to the metering module and is used to collect digital signals of active electric energy and reactive electric energy and convert them into corresponding electric energy values; The signal processing module is connected to the signal acquisition module, and is used to receive the active electric energy value and the reactive electric energy value, calculate the total power consumption value by summing the two, and calculate the three-phase imbalance rate according to the total power consumption value and the three-phase voltage and the three-phase current.

[0007] Preferably, the processor module uses a composite gain algorithm and Kalman filtering to process the pulse digital signals of the voltage and current, and the specific method is: Composite gain algorithm: Dynamically divide the signal into three gain intervals (low / medium / high) according to the signal amplitude, and each interval corresponds to a different amplification factor , , ; Assume the input pulse digital signal is ,in, is the discrete time point number, and the amplitude judgment function is , the expression is: , in, and is the amplitude threshold; The signal after the composite gain algorithm processing for ; The ramp transition function is used when switching To avoid signal mutation, the ramp transition function is used at the gain switching moment. The nearby expression is ,in, , is the slope coefficient, is the discrete time point number corresponding to the gain switching moment, then the final processed signal for .

[0008] Preferably, the method for the Kalman filter to process the pulse digital signals of the voltage and current is: Establish a state-space model that includes grid frequency fluctuations, white noise, and nonlinear load disturbances; Let the state vector ,in, is the discrete time step number, is the dimension of the state vector; Observation vector ,in, is the dimension of the observation vector; The state transfer matrix is , used to describe the transfer relationship between state vectors in adjacent time steps; The observation matrix is , used to map the state vector to the observation space; The process noise covariance matrix is , represents the statistical characteristics of noise during state transition; The observation noise covariance matrix is , represents the statistical characteristics of noise in the observation process; Prediction Steps: ,in, Based on The state estimation at time State estimation at the moment; ,in, is the prediction error covariance matrix Update steps: ,in, is the Kalman gain; ,in, For the updated State estimation at the moment; ,in, is the updated error covariance matrix, is the identity matrix; The signal after Kalman filtering Extract the corresponding component from the state estimation vector; The processed signal is sent to the metering module after sliding window mean filtering. The window length Configured to 1-10 cycles, assume that the signal sequence in the sliding window is , then the signal after sliding window mean filtering is ,in, is the length of the sliding window.

[0009] Preferably, the voltage and current measurement values ​​are calculated as follows: The pulse digital signal after composite gain algorithm, Kalman filter and sliding window mean filter processing , based on pre-calibrated conversion factors and , convert the digital quantity into the corresponding actual measured value of voltage and current, and assume that the amplitude of the processed signal at a certain moment is , then the voltage measurement value , current measurement value ,in, and They are used for voltage and current conversion respectively. The conversion coefficient is obtained during the system calibration phase by inputting known standard voltage and current values, recording the corresponding pulse digital signals, and then performing multiple measurements and fitting.

[0010] Preferably, the processing method of the metering module for single-phase, two-phase and three-phase imbalance is: By real-time monitoring of the amplitude and phase of each phase voltage and current, the three-phase system is decomposed into positive sequence, negative sequence and zero sequence components using the symmetrical component method; Assume the three-phase voltage vector is ,in, , , , , and are the amplitudes of the three-phase voltages, , and are the phases of the three-phase voltage respectively; Then the positive sequence component ; Negative sequence component ; Zero sequence component ; in, , represents the complex factor, which is used for symmetric component method calculation; Three-phase voltage unbalance .

[0011] Preferably, the calculation method of the active electric energy measurement value by the metering module is: Based on the calculated voltage and current measurement values ​​of each phase and , according to the active power calculation formula Calculate the active power per phase, where for The phase difference between voltage and current at each moment; The active power of each phase is measured at a certain time interval Integral operation is performed internally, using the trapezoidal integration method, active energy ,in, is the number of sampling points in the integration interval, is the sampling time interval. Finally, the active energy of the three phases is accumulated to obtain the total active energy measurement value. ,in, Indicates three phases.

[0012] The calculation method of the reactive energy measurement value by the metering module is: Based on the calculated voltage and current measurements of each phase and , using the reactive power calculation formula , calculate the reactive power of each phase separately, where, and for Voltage and current measurement values ​​at the moment, for The phase difference between voltage and current at each moment; The reactive power of each phase is calculated at a certain time interval Integral operation is performed internally, using the trapezoidal integration method, active energy ,in, is the number of sampling points in the integration interval, is the sampling time interval, and finally the reactive energy of the three phases is accumulated to obtain the total reactive energy measurement value , the calculated active energy measurement value and reactive energy measurement value are calculated according to the preset pulse constant , converted into the corresponding pulse digital signal output, that is, the pulse number corresponding to the active energy , the number of pulses corresponding to reactive energy .

[0013] Preferably, the method by which the signal acquisition module converts the digital signals of the active electric energy measurement value and the reactive electric energy measurement value into corresponding electric energy values ​​is: For the received digital signals of active energy measurement value and reactive energy measurement value and ,in, It is the pulse digital quantity corresponding to the active energy measurement value. The pulse digital quantity corresponding to the reactive energy measurement value is calculated according to the pulse constant Convert it into corresponding electric energy value, active electric energy value , reactive energy value .

[0014] Preferably, the signal processing module calculates the total power consumption value in the following manner: According to the formula Calculate the instantaneous total power consumption, where is the active power, is the reactive power; The power is calculated using numerical differentiation method, , ,here is the discrete time point number, is the time interval between adjacent sampling points; The total power consumption is accumulated over a period of time to generate the total power value ,in, is the number of sampling points in this time period; the total power consumption is accumulated over a period of time to generate the total power value ,in, is the number of sampling points in this time period; The calculation method of the three-phase unbalance rate is: Based on the symmetric component method, the formula ,in, , , are the current values ​​of phase A, phase B, and phase C respectively. is the average value of the three-phase current.

[0015] A three-phase intelligent electric energy meter comprises a three-phase electric energy meter with a visual display screen fixedly arranged inside, a central processing unit is fixedly arranged on a side of the three-phase electric energy meter away from the visual display screen, and the electric energy metering unit, processor module, metering module, signal acquisition module and signal processing module are all integrated and arranged in the central processing unit.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention uses a composite gain algorithm and Kalman filtering to process pulse digital signals of voltage and current, which can effectively cope with complex situations such as grid frequency fluctuations, white noise and nonlinear load interference, and accurately calculates the voltage and current measurement values ​​in combination with the calibrated conversion coefficient, and then accurately calculates the active and reactive electric energy, greatly improving the accuracy of electric energy metering and solving the problem of large errors in the measurement values ​​of traditional three-phase electric energy metering systems.

[0017] 2. The metering module of the present invention utilizes the symmetrical component method to decompose the three-phase system into positive-sequence, negative-sequence and zero-sequence components. By accurately calculating the three-phase voltage imbalance and the three-phase current imbalance rate, it can comprehensively and accurately evaluate the three-phase imbalance situation, providing a strong basis for the stable operation and fault diagnosis of the power system.

[0018] 3. The system of the present invention integrates multiple functional modules such as electric energy metering, signal acquisition, and processing. The signal processing module can calculate the total power consumption value and the three-phase imbalance rate according to the active and reactive electric energy values, thereby realizing the integrated integration and coordinated work of multiple functions, improving the intelligence and practicality of the electric energy meter, and reducing the investment in additional equipment and system complexity. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the system framework of the present invention; Figure 2 It is a structural schematic diagram of the present invention; Figure 3 It is a schematic diagram of the back structure of the present invention.

[0020] Description of the numbers in the figure: 1. Three-phase electric energy meter; 2. Visual display screen; 3. Central processing unit. DETAILED DESCRIPTION

[0021] In order to facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described in conjunction with the accompanying drawings of the specification.

[0022] Embodiment 1, as Figure 1 As shown, a three-phase smart energy meter intelligent metering system includes: The electric energy metering unit is used to collect and measure the three-phase voltage and three-phase current, and generate corresponding three-phase pulse digital signals; The processor module is connected to the electric energy metering unit and is used to receive the three-phase pulse digital quantity signal and perform calculations to obtain the voltage and current measurement values ​​of each phase; The metering module is connected to the processor module and is used to receive the voltage and current measurement values, process the single-phase, two-phase and three-phase unbalance conditions, calculate the active electric energy measurement value and the reactive electric energy measurement value, and generate digital signals of the active electric energy and the reactive electric energy; The signal acquisition module is connected to the metering module and is used to collect digital signals of active electric energy and reactive electric energy and convert them into corresponding electric energy values; The signal processing module is connected to the signal acquisition module, and is used to receive the active electric energy value and the reactive electric energy value, calculate the total power consumption value by summing the two, and calculate the three-phase imbalance rate according to the total power consumption value and the three-phase voltage and the three-phase current.

[0023] In an embodiment of the present invention, the processor module uses a composite gain algorithm and Kalman filtering to process the pulse digital quantity signals of the voltage and current. The specific method is: Composite gain algorithm: Dynamically divide the signal into three gain intervals (low / medium / high) according to the signal amplitude, and each interval corresponds to a different amplification factor , , ; Assume the input pulse digital signal is ,in, is the discrete time point number, and the amplitude judgment function is , the expression is: , in, and is the amplitude threshold; The signal after the composite gain algorithm processing for ; The ramp transition function is used when switching To avoid signal mutation, the ramp transition function is used at the gain switching moment. The nearby expression is ,in, , is the slope coefficient, is the discrete time point number corresponding to the gain switching moment, then the final processed signal for .

[0024] In an embodiment of the present invention, the method for the Kalman filter to process the pulse digital quantity signals of the voltage and current is: Establish a state-space model that includes grid frequency fluctuations, white noise, and nonlinear load disturbances; Let the state vector ,in, is the discrete time step number, is the dimension of the state vector; Observation vector ,in, is the dimension of the observation vector; The state transfer matrix is , used to describe the transfer relationship between state vectors in adjacent time steps; The observation matrix is , used to map the state vector to the observation space; The process noise covariance matrix is , represents the statistical characteristics of noise during state transition; The observation noise covariance matrix is , represents the statistical characteristics of noise in the observation process; Prediction Steps: ,in, Based on The state estimation at time State estimation at the moment; ,in, is the prediction error covariance matrix Update steps: ,in, is the Kalman gain; ,in, For the updated State estimation at the moment; ,in, is the updated error covariance matrix, is the identity matrix; The signal after Kalman filtering Extract the corresponding component from the state estimation vector; The processed signal is sent to the metering module after sliding window mean filtering. The window length Configured to 1-10 cycles, assume that the signal sequence in the sliding window is , then the signal after sliding window mean filtering is ,in, is the length of the sliding window.

[0025] In an embodiment of the present invention, the voltage and current measurement values ​​are calculated as follows: The pulse digital signal after composite gain algorithm, Kalman filter and sliding window mean filter processing , based on pre-calibrated conversion factors and , convert the digital quantity into the corresponding actual measured value of voltage and current, and assume that the amplitude of the processed signal at a certain moment is , then the voltage measurement value , current measurement value ,in, and They are used for voltage and current conversion respectively. The conversion coefficient is obtained during the system calibration phase by inputting known standard voltage and current values, recording the corresponding pulse digital signals, and then performing multiple measurements and fitting.

[0026] In an embodiment of the present invention, the processing method of the metering module for single-phase, two-phase and three-phase unbalanced conditions is: By real-time monitoring of the amplitude and phase of each phase voltage and current, the three-phase system is decomposed into positive sequence, negative sequence and zero sequence components using the symmetrical component method; Assume the three-phase voltage vector is ,in, , , , , and are the amplitudes of the three-phase voltages, , and are the phases of the three-phase voltage respectively; Then the positive sequence component ; Negative sequence component ; Zero sequence component ; in, , represents the complex factor, which is used for symmetric component method calculation; Three-phase voltage unbalance .

[0027] In an embodiment of the present invention, the calculation method of the active electric energy measurement value by the metering module is: Based on the calculated voltage and current measurement values ​​of each phase and , according to the active power calculation formula Calculate the active power per phase, where for The phase difference between voltage and current at each moment; The active power of each phase is measured at a certain time interval Integral operation is performed internally, using the trapezoidal integration method, active energy ,in, is the number of sampling points in the integration interval, is the sampling time interval. Finally, the active energy of the three phases is accumulated to obtain the total active energy measurement value. ,in, Indicates three phases.

[0028] The calculation method of the reactive energy measurement value by the metering module is: Based on the calculated voltage and current measurements of each phase and , using the reactive power calculation formula , calculate the reactive power of each phase separately, where, and for Voltage and current measurement values ​​at the moment, for The phase difference between voltage and current at each moment; The reactive power of each phase is calculated at a certain time interval Integral operation is performed internally, using the trapezoidal integration method, active energy ,in, is the number of sampling points in the integration interval, is the sampling time interval, and finally the reactive energy of the three phases is accumulated to obtain the total reactive energy measurement value , the calculated active energy measurement value and reactive energy measurement value are calculated according to the preset pulse constant , converted into the corresponding pulse digital signal output, that is, the pulse number corresponding to the active energy , the number of pulses corresponding to reactive energy .

[0029] In an embodiment of the present invention, the method by which the signal acquisition module converts the digital signals of the active electric energy measurement value and the reactive electric energy measurement value into corresponding electric energy values ​​is: For the received digital signals of active energy measurement value and reactive energy measurement value and ,in, It is the pulse digital quantity corresponding to the active energy measurement value. The pulse digital quantity corresponding to the reactive energy measurement value is calculated according to the pulse constant Convert it into corresponding electric energy value, active electric energy value , reactive energy value .

[0030] In an embodiment of the present invention, the signal processing module calculates the total power consumption value in the following manner: According to the formula Calculate the instantaneous total power consumption, where is the active power, is the reactive power; The power is calculated using numerical differentiation method, , ,here is the discrete time point number, is the time interval between adjacent sampling points; The total power consumption is accumulated over a period of time to generate the total power value ,in, is the number of sampling points in this time period; The calculation method of the three-phase unbalance rate is: Based on the symmetric component method, the formula ,in, , , are the current values ​​of phase A, phase B, and phase C respectively. is the average value of the three-phase current.

[0031] Embodiment 2, as Figure 2 and Figure 3 As shown, a three-phase intelligent electric energy meter comprises a three-phase electric energy meter 1 with a visual display screen 2 fixedly arranged inside, a central processing unit 3 is fixedly arranged on a side of the three-phase electric energy meter 1 away from the visual display screen 2, and the electric energy metering unit, processor module, metering module, signal acquisition module and signal processing module are all integrated and arranged in the central processing unit 3.

[0032] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A three-phase smart energy meter intelligent metering system, characterized in that: include: The electric energy metering unit is used to collect and measure the three-phase voltage and three-phase current, and generate corresponding three-phase pulse digital signals; The processor module is connected to the electric energy metering unit and is used to receive the three-phase pulse digital quantity signal and perform calculations to obtain the voltage and current measurement values ​​of each phase; The metering module is connected to the processor module and is used to receive the voltage and current measurement values, process the single-phase, two-phase and three-phase unbalance conditions, calculate the active electric energy measurement value and the reactive electric energy measurement value, and generate digital signals of the active electric energy and the reactive electric energy; The signal acquisition module is connected to the metering module and is used to collect digital signals of active electric energy and reactive electric energy and convert them into corresponding electric energy values; The signal processing module is connected to the signal acquisition module, and is used to receive the active electric energy value and the reactive electric energy value, calculate the total power consumption value by summing the two, and calculate the three-phase imbalance rate according to the total power consumption value and the three-phase voltage and the three-phase current.

2. A three-phase smart energy meter intelligent metering system according to claim 1, characterized in that: The processor module uses a composite gain algorithm and Kalman filtering to process the pulse digital signals of the voltage and current. The specific method is as follows: Composite gain algorithm: Dynamically divide the signal into three gain intervals (low / medium / high) according to the signal amplitude, and each interval corresponds to a different amplification factor , , ; Assume the input pulse digital signal is ,in, is the discrete time point number, and the amplitude judgment function is , the expression is: , in, and is the amplitude threshold; The signal after the composite gain algorithm processing for ; The ramp transition function is used when switching To avoid signal mutation, the ramp transition function is used at the gain switching moment. The nearby expression is ,in, , is the slope coefficient, is the discrete time point number corresponding to the gain switching moment, then the final processed signal for .

3. A three-phase smart energy meter intelligent metering system according to claim 2, characterized in that: The method for the Kalman filter to process the pulse digital signals of the voltage and current is: Establish a state-space model that includes grid frequency fluctuations, white noise, and nonlinear load disturbances; Let the state vector ,in, is the discrete time step number, is the dimension of the state vector; Observation vector ,in, is the dimension of the observation vector; The state transfer matrix is , used to describe the transfer relationship between state vectors in adjacent time steps; The observation matrix is , used to map the state vector to the observation space; The process noise covariance matrix is , represents the statistical characteristics of noise during state transition; The observation noise covariance matrix is , represents the statistical characteristics of noise in the observation process; Prediction steps: ,in, Based on The state estimation at time State estimation at the moment; ,in, is the prediction error covariance matrix; Update steps: ,in, is the Kalman gain; ,in, For the updated State estimation at the moment; ,in, is the updated error covariance matrix, is the identity matrix; The signal after Kalman filtering Extract the corresponding component from the state estimation vector; The processed signal is sent to the metering module after sliding window mean filtering. The window length Configured to 1-10 cycles, assume that the signal sequence in the sliding window is , then the signal after sliding window mean filtering is ,in, is the length of the sliding window.

4. A three-phase smart energy meter intelligent metering system according to claim 3, characterized in that: The calculation method of the voltage and current measurement values ​​is: The pulse digital signal after the composite gain algorithm, Kalman filter and sliding window mean filter is processed. , based on pre-calibrated conversion factors and , convert the digital quantity into the corresponding actual measured value of voltage and current, and assume that the amplitude of the processed signal at a certain moment is , then the voltage measurement value , current measurement value ,in, and Used for voltage and current conversion respectively.

5. A three-phase smart energy meter intelligent metering system according to claim 4, characterized in that: The processing method of the metering module for single-phase, two-phase and three-phase unbalanced conditions is as follows: By real-time monitoring of the amplitude and phase of each phase voltage and current, the three-phase system is decomposed into positive sequence, negative sequence and zero sequence components using the symmetrical component method; Assume the three-phase voltage vector is ,in, , , , , and are the amplitudes of the three-phase voltages, , and are the phases of the three-phase voltage respectively; Then the positive sequence component ; Negative sequence component ; Zero sequence component ; in, , represents the complex factor, which is used for symmetric component method calculation; Three-phase voltage unbalance .

6. A three-phase smart energy meter intelligent metering system according to claim 5, characterized in that: The calculation method of the active electric energy measurement value of the metering module is: Based on the calculated voltage and current measurement values ​​of each phase and , according to the active power calculation formula Calculate the active power per phase, where for The phase difference between voltage and current at each moment; The active power of each phase is measured at a certain time interval Integral operation is performed internally, using the trapezoidal integration method, active energy ,in, is the number of sampling points in the integration interval, is the sampling time interval, and finally the active energy of the three phases is accumulated to obtain the total active energy measurement value ,in, Indicates three phases; The calculation method of the reactive energy measurement value by the metering module is: Based on the calculated voltage and current measurements of each phase and , using the reactive power calculation formula , calculate the reactive power of each phase separately, where, and for Voltage and current measurement values ​​at the moment, for The phase difference between voltage and current at each moment; The reactive power of each phase is calculated at a certain time interval Integral operation is performed internally, using the trapezoidal integration method, active energy ,in, is the number of sampling points in the integration interval, is the sampling time interval, and finally the reactive energy of the three phases is accumulated to obtain the total reactive energy measurement value , the calculated active energy measurement value and reactive energy measurement value are calculated according to the preset pulse constant , converted into the corresponding pulse digital signal output, that is, the pulse number corresponding to the active energy , the number of pulses corresponding to reactive energy .

7. A three-phase smart energy meter intelligent metering system according to claim 6, characterized in that: The method by which the signal acquisition module converts the digital signals of the active electric energy measurement value and the reactive electric energy measurement value into the corresponding electric energy value is: For the received digital signals of active energy measurement value and reactive energy measurement value and ,in, It is the pulse digital quantity corresponding to the active energy measurement value. The pulse digital quantity corresponding to the reactive energy measurement value is calculated according to the pulse constant Convert it into corresponding electric energy value, active electric energy value , reactive energy value .

8. A three-phase smart energy meter intelligent metering system according to claim 7, characterized in that: The signal processing module calculates the total power consumption value as follows: According to the formula Calculate the instantaneous total power consumption, where is the active power, is the reactive power; The power is calculated using numerical differentiation method, , ,here is the discrete time point number, is the time interval between adjacent sampling points; The total power consumption is accumulated over a period of time to generate the total power value ,in, is the number of sampling points in this time period; The calculation method of the three-phase unbalance rate is: Based on the symmetric component method, the formula ,in, , , are the current values ​​of phase A, phase B, and phase C respectively. is the average value of the three-phase current.

9. A three-phase smart energy meter applied to the three-phase smart energy meter intelligent metering system as claimed in claim 8, characterized in that: The invention comprises a three-phase electric energy meter (1) having a visual display screen (2) fixedly arranged therein, a central processing unit (3) fixedly arranged on a side of the three-phase electric energy meter (1) away from the visual display screen (2), and the electric energy metering unit, the processor module, the metering module, the signal acquisition module and the signal processing module are all integrated and arranged in the central processing unit (3).

Citation Information

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