CN116559767A - A Field Calibration Method of Electric Energy Meter Based on Satellite High and Low Orbit System Timing - Google Patents

Abstract

The invention belongs to the technical field of electric power overhaul, and particularly relates to an electric energy meter on-site calibration method based on satellite high-low orbit system time service. According to the invention, an alternating current signal generated by a standard signal source is converted into a frequency signal corresponding to the alternating current signal through a voltage-frequency conversion module, then, the high-precision clock signal provided by a satellite navigation system is utilized to measure electric parameters such as voltage, current, active power, reactive power and the like of the alternating current signal, the electric parameters are compared with the electric parameters measured by an electric energy meter to be calibrated according to the electric parameters, the metering error of the electric energy meter to be measured is calculated, and finally, the electric energy meter is calibrated according to the metering error.

Description

A Field Calibration Method of Electric Energy Meter Based on Satellite High and Low Orbit System Timing

technical field

The invention belongs to the technical field of electric power maintenance, and in particular relates to an on-site calibration method of an electric energy meter based on satellite high and low orbit system timing.

Background technique

At present, the calibration of electric energy meters is done in metrology laboratories. During the service life of the electric energy meter, it must also undergo periodic verification. The more accurate the meter is, the shorter the interval between weekly inspections is for the meter on more important occasions. Due to the large number of meters in such important occasions, it is difficult to complete the prescribed periodic verification. The measurement error of a meter without periodic verification is unknown. Due to the existence of these uncertain factors, electricity metering errors result in huge losses every year. Most power departments now mainly use on-site calibrator for comparison. Because the on-site calibrator is affected by its own working principle, measurement accuracy, on-site power voltage, and current fluctuations, it cannot be calibrated and can only be compared. The measurement results of this calibration device should only be used as a guideline.

In view of this, in order to solve the above problems, the present invention designs a field calibration method for electric energy meters based on satellite high and low orbit system timing.

Contents of the invention

Purpose of the invention: The purpose of the present invention is to provide a field calibration method for electric energy meters based on satellite high and low orbit system timing for the deficiencies in the current technology.

Technical solution: In order to achieve the above purpose, the present invention provides a field calibration method for electric energy meters based on satellite high and low orbit system timing, including the following steps:

S1, setting a navigation system composed of multiple high-orbit satellites and N low-orbit satellites;

S2, the low-orbit satellites in the satellite navigation system collect and receive the event application information of the calibration of the electric energy meter in their respective coverage areas and report to the high-orbit satellites;

S3, the timing module of the high-orbit satellite in the satellite navigation system establishes a clock signal decision-making model according to the deep learning method and calculates the optimal value of the clock signal;

S4, the on-site calibration device of the ground electric energy field completes the calibration of the electric energy meter according to the timing of the satellite high and low orbit system.

Further, it includes the voltage measurement circuit of the electric energy meter, the current measurement circuit of the electric energy meter, the single-phase/three-phase standard AC signal source, the voltage-frequency conversion module, the processing module and the satellite high and low orbit system timing module.

Further, under the control of the processing module, the single-phase/three-phase standard AC signal source generates a single-phase, three-phase three-wire or three-phase four-wire AC signal source that meets the requirements of the landing country, and the single-phase/three-phase standard AC signal source Output three-way voltage AC signal and three-way current AC signal, the output voltage AC signal and current AC signal are respectively connected with the voltage measurement circuit of the electric energy meter and the current measurement circuit of the electric energy meter, and the output voltage AC signal and current AC signal are also respectively It is connected with the voltage-frequency conversion module; the electric energy meter voltage metering circuit and the electric energy meter current metering circuit measure the electrical parameters of the voltage AC signal and the current AC signal respectively, and send the measured electrical parameter results to the processing module.

Further, the feature of the satellite high and low orbit system timing module is: to establish a deep learning timing decision model, the process of which is:

Set the state space set S, each state s∈S in the set; use the parameter vector A to represent all the parameter values that can be set in the timing process, the parameter value a∈A set at a certain moment, where a ₀ =(N ₀ , C ₀ , L ₀ , B ₀ , F ₀ , D ₀ , P ₀ , E ₀ ), s changes with the change of a; each state change sets an instant evaluation function r;

Among them, the instant evaluation function r is:

The timing task is calculated by deep learning based on the high-orbit satellite timing historical record data, and the parameter setting strategy π is obtained; if the function Q is the optimal parameter function, and T is the number of steps executed by reinforcement learning, then:

Further, the process of calculating the optimal priority of satellite timing is:

Set training samples, each sample is represented by (s _t , a _t , r _t , s _t+1 ) ₁ ; set a threshold θ to evaluate training requirements;

Calculate the value of Q(s _t+1 ,a); select the optimal evaluation value argmaxQ _t (s',a'; θ _i ) corresponding to the parameter set a, where θ _i represents the threshold value θ calculated for the ith time;

Iteratively calculate the Q function, let γ be the iterative loss coefficient, and let α be the learning rate, then:

Qt ₊₁ (s,a)= _Ql (s,a;θ)+α(r+γarg max _Qt (s,a; _θi )-Qt(s,a;θ));

Calculate the difference function LOSS=(Qt ₊₁ (s,a) _-Qt (s,a)) ² between two iterations;

It is judged whether the state s _t+1 has the situation that the communication of the time service network is not smooth.

Further, the process of satellite network resource allocation according to the optimal value of satellite resource allocation is:

According to the optimal solution, the satellite timing module receives the timing signal from the satellite navigation system and extracts the clock signal.

Further, the on-site calibration method is:

The processing module controls the single-phase/three-phase standard AC signal source to generate an AC signal source; the processing module sequentially performs timing sampling, electrical parameter measurement and calculation of measurement error, and finally calibrates the watt-hour meter to be calibrated according to the measurement error;

The electrical parameter comparison module obtained from the above electrical parameter measurement process receives the electrical parameter measurement data obtained from the electrical parameter measurement of the standard signal by the electric energy meter to be calibrated, and compares it with the electrical parameter measurement data obtained by the electrical parameter measurement module, that is Calculate the measurement error of the electric energy meter to be calibrated; the calibration control signal generation module sends a calibration instruction to the electric energy meter to be calibrated through the control terminal according to the measurement error, and calibrates the electric energy meter to be calibrated.

Further, the satellite timing module includes any one or combination of GPS satellite timing module, Beidou satellite timing module, GLONASS satellite timing module and Galileo satellite timing module.

Beneficial effects: 1. The present invention converts the AC signal generated by the standard signal source into a corresponding frequency signal through the voltage-frequency conversion module, and then uses the high-precision clock signal provided by the satellite navigation system to measure the voltage of the AC signal , current, active power and reactive power and other electrical parameters, and compare the electrical parameters with the electrical parameters measured by the watt-hour meter to be calibrated, calculate the measurement error of the watt-hour meter to be measured, and finally complete the measurement according to the measurement error Calibration of energy meters.

2. The electric energy meter field calibration device of the present invention adopts a satellite timing module that can provide high-precision clock signals, a voltage-frequency conversion module with high linearity and high stability characteristics, and conforms to "JJG 597-2005 Verification Regulations for Verification Devices for AC Electric Energy Meters" The required AC signal source ensures that the measurement results of the electric energy meter field calibration device of the present invention and the calibration of the electric energy meter have high accuracy, reliability, reliability and traceability. The on-site calibration device of the electric energy meter of the present invention meets the requirements of the verification regulations of the national AC electric energy meter verification device.

3. The on-site calibration device of the electric energy meter of the present invention can complete the on-site calibration of the electric energy meter in any working place and working environment, so that the electric energy meter does not need to be regularly sent to a metrological appraisal institution for verification and calibration. The invention can also avoid the problems caused by the traditional way of traceability and value transmission, and avoid the cumulative transmission of measurement errors.

4. The on-site calibration device of the electric energy meter of the present invention can also be equipped with a communication module, and the remote control and management of the on-site calibration device of the electric energy meter can be realized by the power metering management department through the communication module.

Description of drawings

Fig. 1 is a flowchart of the present invention;

Fig. 2 is a flowchart of the deep learning algorithm of the present invention;

Fig. 3 is a structural diagram of the present invention.

Detailed ways

The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to the directions in the drawings, and the words "inner" and "outer ” refer to directions towards or away from the geometric center of a particular part, respectively.

Embodiment 1, further explanation will be made according to Fig. 1-Fig. 3 .

The invention provides a field calibration method for an electric energy meter based on satellite high and low orbit system timing, which realizes the accuracy of communication timing between high and low orbit satellites, and improves the correction accuracy of the electric energy meter; it includes the following steps:

S1, setting a navigation system composed of multiple high-orbit satellites and N low-orbit satellites;

S2, the low-orbit satellites in the satellite navigation system collect and receive the event application information of the calibration of the electric energy meter in their respective coverage areas and report to the high-orbit satellites;

S3, the timing module of the high-orbit satellite in the satellite navigation system establishes a clock signal decision-making model according to the deep learning method and calculates the optimal value of the clock signal;

S4, the on-site calibration device of the ground electric energy field completes the calibration of the electric energy meter according to the timing of the satellite high and low orbit system.

As a specific embodiment of the present invention, it includes the electric energy meter voltage metering circuit, the electric energy meter current metering circuit, and it also includes a single-phase/three-phase standard AC signal source, a voltage-frequency conversion module, a processing module and satellite high and low orbit system timing module.

As a specific embodiment of the present invention, the single-phase/three-phase standard AC signal source generates a single-phase, three-phase three-wire or three-phase four-wire AC signal source that meets the requirements of the landing country under the control of the processing module. /The three-phase standard AC signal source outputs three voltage AC signals and three current AC signals, and the output voltage AC signals and current AC signals are respectively connected to the voltage measurement circuit of the electric energy meter and the current measurement circuit of the electric energy meter, and the output voltage AC signal The signal and the current AC signal are also respectively connected to the voltage-frequency conversion module. The voltage measurement circuit of the electric energy meter and the current measurement circuit of the electric energy meter measure the electrical parameters of the voltage AC signal and the current AC signal respectively, and send the measured electrical parameter results to the processing module.

As a specific embodiment of the present invention, the satellite high and low orbit system timing module is characterized by: establishing a deep learning timing decision model, the process of which is:

Set the set of the state space of the timing task being processed as S, and each state in the set is s∈S; all the parameter values that can be set during the execution of the timing process are represented by parameter vector A, and the parameter value a∈ set at a certain moment A, where a ₀ = (N ₀ , C ₀ , L ₀ , B ₀ , F ₀ , D ₀ , P ₀ , E ₀ ), according to the change from a ₀ to a ₁ , the state of the timing task also changes from s ₀ to s ₁ ; set a real-time evaluation function R for each state change, that is, a ₀ corresponds to s ₀ and r ₀ at the same time, a ₁ corresponds to s ₁ and r ₁ at the same time, and the state keeps shifting;

Among them, the instant evaluation function r is:

Among them, the timing training process successfully obtains the maximum priority and obtains the maximum evaluation value of 100, indicating that the timing is successful, and the training round ends; if the maximum priority cannot be obtained, the training evaluation value is 1; if the priority cannot be assigned, then The training evaluation value is 0;

The timing task is based on the deep learning calculation of the high-orbit satellite timing historical record data, and the parameter setting strategy π is obtained. In each execution of this strategy, the parameter setting will approach the optimal parameter; let the function Q be the optimal parameter function, and T be The number of steps performed by reinforcement learning is:

As a specific embodiment of the present invention, the process of calculating the optimal priority of satellite timing is:

Set all the historical record data in the satellite timing module as training samples, each sample is represented by (st _t ,a _t ,r _t ,s _t+1 ) ₁ , and set a threshold θ to evaluate the number of samples in line with the training Require;

For each sample, calculate the Q(s _t+1 ,a) value, and select the optimal evaluation value argmaxQ _t (s',a'; θ _i ) corresponding to the parameter set a, where θ _i represents the i-th calculated Threshold θ;

Iteratively calculate the Q function of each reinforcement learning, let β be the iterative loss coefficient, and let α be the learning rate, then:

Qt ₊₁ (s,a)= _Qt (s,a;θ)+α(r+γarg max _Qt (s,a; _θt ) _-Qt (s,a;θ));

Each iteration completes the calculation of the difference function between two iterations, LOSS=(Q _t+1 (s,a)-Q _t (s,a)) ² and updates the optimal value through the gradient descent algorithm, which is once The learning process is over, and the number of learning +1 is recorded;

Judging whether there is poor communication in the timing network in state s _t+1 , if so, stop this training, and jump to the next state to restart training, and update state s _t = s _t+1 , continue to repeat the above process , and finally get the optimal solution.

As a specific embodiment of the present invention, the process of allocating satellite network resources according to the optimal value of satellite resource allocation is as follows:

According to the optimal solution, the satellite timing module receives the timing signal from the satellite navigation system and extracts the clock signal. The output of the satellite timing module is respectively connected to the standard signal source, the voltage-frequency conversion module and the clock input of the processing module, which are the standard signal source, A voltage-to-frequency conversion block and a processing block provide the clock reference.

As a specific embodiment of the present invention, the on-site calibration method is characterized by:

The processing module is connected with the electric energy meter to be calibrated through the communication bus. The calibration command and the acquisition of electric parameters of the processing module interact through the communication bus. The electric energy pulse input of the processing module is connected with the electric energy pulse output of the electric energy meter to be calibrated. The processing module control unit Phase/three-phase standard AC signal source produces an AC signal source. The processing module samples the frequency signal output by the voltage-frequency conversion module regularly according to the clock signal output by the satellite timing module, and measures the electrical parameters of the voltage signal and current signal output by the single-phase/three-phase standard AC signal source according to the sampling result. The processing module compares the measured electrical parameters with the electrical parameters measured by the electric energy meter to be calibrated to calculate the measurement error of the electric energy meter to be calibrated, and calibrates the electric energy meter to be calibrated according to the measurement error.

The electrical parameter comparison module receives the electrical parameter measurement data obtained by the electrical parameter measurement of the standard signal by the electrical energy meter to be calibrated, and compares it with the electrical parameter measurement data obtained by the electrical parameter measurement module, that is, calculates the electrical energy to be calibrated Table measurement error. The calibration control signal generating module sends a calibration instruction to the electric energy meter to be calibrated through the control terminal according to the measurement error, and calibrates the electric energy meter to be calibrated. The satellite timing module is composed of a satellite timing processing circuit and a high-stable constant-temperature crystal oscillator circuit. According to the time difference between the satellite timing time and the high-stable constant-temperature crystal oscillator, a taming algorithm is adopted to adjust the clock accuracy of the high-stable constant-temperature crystal oscillator in real time to ensure that it is provided to The clock signals of single-phase/three-phase standard AC signal sources, voltage-frequency conversion modules and processing modules always maintain high precision and traceable clock sources.

As a specific embodiment of the present invention, the satellite timing module includes any one or combination of GPS satellite timing module, Beidou satellite timing module, GLONASS satellite timing module and Galileo satellite timing module.

The specific embodiments described above have further described the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above descriptions are only specific embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (8)

1. A method for field calibration of electric energy meters based on satellite high and low orbit system timing, is characterized in that: comprise the steps: S1, setting a navigation system composed of multiple high-orbit satellites and N low-orbit satellites; S2, the low-orbit satellites in the satellite navigation system collect and receive the event application information of the calibration of the electric energy meter in their respective coverage areas and report to the high-orbit satellites; S3, the timing module of the high-orbit satellite in the satellite navigation system establishes a clock signal decision-making model according to the deep learning method and calculates the optimal value of the clock signal; S4, the on-site calibration device of the ground electric energy field completes the calibration of the electric energy meter according to the timing of the satellite high and low orbit system. 2. A kind of electric energy meter on-site calibration method based on satellite high and low orbit system timing according to claim 1, characterized in that: said ground electric energy field field calibration device comprises electric energy meter voltage metering circuit, electric energy meter current metering circuit, unit Phase/three-phase standard AC signal source, voltage-frequency conversion module, processing module and satellite high and low orbit system timing module. 3. A kind of electric energy meter on-site calibration method based on satellite high and low orbit system timing according to claim 2, characterized in that: the single-phase/three-phase standard AC signal source produces a single-phase signal that meets the requirements of the landing country under the control of the processing module. Phase, three-phase three-wire or three-phase four-wire system AC signal source, single-phase/three-phase standard AC signal source outputs three voltage AC signals and three current AC signals, and the output voltage AC signals and current AC signals are respectively The voltage measurement circuit of the electric energy meter and the current measurement circuit of the electric energy meter are connected, and the output voltage AC signal and current AC signal are respectively connected with the voltage-frequency conversion module; The electrical parameter is measured by the current AC signal, and the measured electrical parameter result is sent to the processing module. 4. A kind of electric energy meter on-site calibration method based on satellite high and low orbit system timing according to claim 1, characterized in that: the timing module is characterized by: establishing a deep learning timing decision-making model, the process of which is: Set the set of the state space of the timing task being processed as S, and each state in the set is s∈S; all the parameter values that can be set during the execution of the timing process are represented by parameter vector A, and the parameter value a∈ set at a certain moment A, where a ₀ = (N ₀ , C ₀ , L ₀ , B ₀ , F ₀ , D ₀ , P ₀ , E ₀ ), according to the change from a ₀ to a ₁ , the state of the timing task also changes from s ₀ to s ₁ ; set a real-time evaluation function R for each state change, that is, a ₀ corresponds to s ₀ and r ₀ at the same time, a ₁ corresponds to s ₁ and r ₁ at the same time, and the state keeps shifting; Among them, the instant evaluation function r is: Among them, the timing training process successfully obtains the maximum priority and obtains the maximum evaluation value of 100, indicating that the timing is successful, and the training round ends; if the maximum priority cannot be obtained, the training evaluation value is 1; if the priority cannot be assigned, then The training evaluation value is 0; The timing task is calculated by deep learning based on the high-orbit satellite timing historical record data, and the parameter setting strategy π is obtained; if the function Q is the optimal parameter function, and T is the number of steps executed by reinforcement learning, then: 5. a kind of electric energy meter field calibration method based on satellite high and low orbit system timing according to claim 4, is characterized in that: the process of calculating the optimal value of satellite timing is: Set all the historical record data in the satellite timing module as training samples, each sample is represented by (st _t ,a _t ,r _t ,s _t+1 ) ₁ , and set a threshold θ to evaluate the number of samples in line with the training Require; For each sample, calculate the Q(s _t+1 ,a) value, and select the optimal evaluation value argmaxQ _t (s',a'; θ _i ) corresponding to the parameter set a, where θ _i represents the i-th calculated Threshold θ; Iteratively calculate the Q function of each reinforcement learning, let γ be the iterative loss coefficient, and let α be the learning rate, then: Qt ₊₁ (s,a)= _Qt (s,a;θ)+α(r+γarg max _Qt (s,a; _θt ) _-Qt (s,a;θ)); Each iteration completes the calculation of the difference function between two iterations, LOSS=(Q _t+1 (s,a)-Q _t (s,a)) ² and updates the optimal value through the gradient descent algorithm, which is once The learning process is over, and the number of learning +1 is recorded; Judging whether there is poor communication in the timing network in state s _t+1 , if so, stop this training, and jump to the next state to restart training, and update state s _t = s _t+1 , continue to repeat the above process , and finally get the optimal solution. 6. a kind of electric energy meter on-the-spot calibration method based on satellite high and low orbit system timing according to claim 5 is characterized in that: the process of carrying out satellite network resource allocation according to the optimal value of satellite resource allocation is: According to the optimal solution, the satellite timing module receives the timing signal from the satellite navigation system and extracts the clock signal. The output of the satellite timing module is respectively connected to the standard signal source, the voltage-frequency conversion module and the clock input of the processing module, which are the standard signal source, A voltage-to-frequency conversion block and a processing block provide the clock reference. 7. A kind of on-site calibration method of electric energy meter based on satellite high and low orbit system timing according to claim 1, characterized in that: the on-site calibration method is: The processing module obtains calibration commands and electrical parameters, and sequentially performs timing sampling, electrical parameter measurement and calculation of the measurement error of the electric energy meter to be calibrated, and finally calibrates the electric energy meter to be calibrated according to the measurement error; The satellite timing module is composed of a satellite timing processing circuit and a high-stable constant-temperature crystal oscillator circuit. According to the time difference between the satellite timing time and the high-stable constant-temperature crystal oscillator, a taming algorithm is adopted to adjust the clock accuracy of the high-stable constant-temperature crystal oscillator in real time. 8. A kind of electric energy meter field calibration method based on satellite high and low orbit system timing according to claim 1, characterized in that: said satellite timing module includes GPS satellite timing module, Beidou satellite timing module, GLONASS satellite timing module and Any one or a combination of the Galileo satellite timing modules.