Electric energy metering device evaluation method, device, system, equipment and medium

Abstract

The invention relates to the technical field of power systems, and discloses an electric energy metering device evaluation method, device, system and equipment and a medium. The method comprises the following steps: acquiring to-be-processed operation data, wherein the to-be-processed operation data comprises the power generation amount sent by each power generation side metering device, the grid-connected electric quantity sent by a grid-connected side metering device, and the plant-station electricity consumption sent by a plant-station electricity consumption metering device; according to each generating capacity, the power consumption of the plant station and the obtained loss power consumption, calculating to obtain supply net power; based on the grid-connected electric quantity and the supply net electric quantity, calculating to obtain overall error data of each power generation side metering device, each grid-connected side metering device and each plant station power utilization metering device; and according to the overall error data and a preset error threshold value, obtaining an overall evaluation result for each power generation side metering device, each grid-connected side metering device and each plant station power utilization metering device. The overall visual angle is adopted, the overall performance of the metering device can be accurately evaluated, and the reliability is higher.

Description

Technical Field

[0001] The present disclosure relates to the technical field of electric power systems, and in particular to an evaluation method, device, system, equipment and medium for an electric energy metering device. Background Art

[0002] In the power system, the accuracy of the electric energy metering device, as the core tool for power trading, is directly related to the fairness of the power market, the economic benefits of power companies, and the legitimate rights and interests of users. Any slight measurement deviation may trigger a chain reaction, affecting the stable operation of the power system and the healthy development of the market. Therefore, in order to ensure the accuracy of electric energy measurement, it is particularly important to accurately evaluate the electric energy metering device.

[0003] In the relevant technology, discrete verification and monitoring are still used to evaluate the operating performance of metering devices. For example, it can be achieved through on-site inspection. This involves on-site inspection of the electric energy meters, voltage transformers, current transformers and secondary circuits that need to be confirmed. Based on the test results, analyze whether its operating performance meets the requirements of the established technical standards, and whether the expected functions can be performed stably and reliably. In addition, with the development of acquisition technology, online monitoring technology based on collected data has also been studied and applied. This technology quickly identifies potential faults of metering devices through the relationship between data such as voltage, current, power factor and the expected range, as well as the correlation between each other, thereby realizing the evaluation of the operating performance of the metering device.

[0004] However, although the evaluation methods in the relevant technologies are competent for the performance evaluation of metering devices in most cases, there are cases where the evaluation of a metering device alone is completely normal, but deviations occur when it is used in combination. The evaluation results of a single metering device are difficult to accurately characterize the overall performance of the metering system, and the reliability is poor. Therefore, it is urgent to solve this technical problem. Summary of the invention

[0005] In view of the above situation, the embodiments of the present disclosure provide an electric energy metering device evaluation method, device, system, equipment and medium, which aim to solve the above problems or at least partially solve the above problems.

[0006] In a first aspect, an embodiment of the present disclosure provides a method for evaluating an electric energy metering device, the method comprising:

[0007] Acquire the operation data to be processed, wherein the operation data to be processed includes the power generation sent by each power generation side metering device, the grid-connected power sent by the grid-connected side metering device, and the plant and station power consumption sent by the plant and station power consumption metering device;

[0008] Calculate the net power supply according to the power generation, the power consumption of the plant and the acquired power loss;

[0009] Based on the grid-connected power and the net supplied power, the overall error data of each power generation side metering device, the grid-connected side metering device and the power station power metering device are calculated;

[0010] According to the overall error data and the preset error threshold, an overall evaluation result for each power generation side metering device, the grid-connected side metering device and the plant power metering device is obtained.

[0011] In a second aspect, an embodiment of the present disclosure further provides an electric energy metering device evaluation device, the device comprising:

[0012] An acquisition module is used to acquire the operation data to be processed, wherein the operation data to be processed includes the power generation sent by each power generation side metering device, the grid-connected power sent by the grid-connected side metering device, and the plant and station power consumption sent by the plant and station power consumption metering device;

[0013] A first calculation module is used to calculate the net power supply according to the power generation, the power consumption of the plant and the acquired power loss;

[0014] A second calculation module is used to calculate the overall error data of each power generation side metering device, the grid-connected side metering device and the power station power metering device based on the grid-connected power and the net supplied power;

[0015] An evaluation module is used to obtain an overall evaluation result for each power generation side metering device, the grid-connected side metering device and the plant power metering device according to the overall error data and a preset error threshold.

[0016] In a third aspect, the embodiment of the present disclosure further provides an electric energy metering device evaluation system, the system comprising:

[0017] An electric energy metering device evaluation unit, used to implement the electric energy metering device evaluation method described in the first aspect;

[0018] At least one power generation side metering device, used to measure the power generation of the generator and send it to the power metering device evaluation unit;

[0019] A grid-connected metering device is used to measure the grid-connected electricity connected to the grid-connected point of the power plant station and send it to the evaluation unit of the electric energy metering device;

[0020] The power plant electricity metering device is used to measure the power plant electricity consumption required to maintain the operation of the power plant and send it to the electric energy metering device evaluation unit.

[0021] In a fourth aspect, an embodiment of the present disclosure further provides an electronic device, comprising: a processor; and a memory arranged to store computer executable instructions, wherein when the executable instructions are executed, the processor executes the steps of the above-mentioned electric energy metering device evaluation method.

[0022] In a fifth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, which stores one or more programs. When the one or more programs are executed by an electronic device including multiple application programs, the electronic device executes the steps of the electric energy metering device evaluation method.

[0023] In a sixth aspect, an optional implementation of the present disclosure further provides a computer program product, wherein the computer program product carries a program code, and the program code includes instructions that can be used to execute the steps of the above-mentioned electric energy metering device evaluation method.

[0024] By means of the above technical scheme, the electric energy metering device evaluation method, device, system, equipment and medium provided by the embodiment of the present disclosure take into account the combined effect of multiple influencing factors on site, the performance matching of metering devices and other factors, and adopt an overall perspective, using the total power generation, power loss, power consumption of the plant and station and grid-connected power and other measured data on the power generation side to calculate the overall error data of the electric energy metering device system, and then obtain the evaluation result for the electric energy metering system through the preset error threshold. Compared with the traditional single device performance test, the embodiment of the present disclosure can accurately evaluate the overall performance of the metering device, with higher reliability, and can provide strong data support for spot market transactions.

[0025] The above description is only an overview of the technical solution of the present disclosure. In order to more clearly understand the technical means of the present disclosure, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present disclosure more obvious and easy to understand, the specific implementation methods of the present disclosure are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings described herein are used to provide a further understanding of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure. In the drawings:

[0027] Figure 1 A schematic diagram of a flow chart of an electric energy metering device evaluation method provided by an embodiment of the present disclosure is shown;

[0028] Figure 2 A schematic diagram showing the structure of an electric energy metering device evaluation device provided by an embodiment of the present disclosure is shown;

[0029] Figure 3 A schematic diagram of the structure of an electric energy metering device evaluation system provided by an embodiment of the present disclosure is shown;

[0030] Figure 4 A schematic diagram of the structure of an electric energy metering device evaluation system provided by another embodiment of the present disclosure is shown;

[0031] Figure 5 A schematic structural diagram of an electronic device provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the technical solutions of the present disclosure will be clearly and completely described below in combination with the specific embodiments of the present disclosure and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present disclosure.

[0033] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0034] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such usage is interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the term "including" and its variants are to be interpreted as open-ended terms meaning "including but not limited to".

[0035] As mentioned above, in the related art, discrete verification and monitoring are still used to evaluate the operating performance of the metering device. For example, it can be achieved by on-site inspection. This involves on-site inspection of the electric energy meter, voltage transformer, current transformer and secondary circuit that need to be confirmed. Based on the test results, analyze whether its operating performance meets the requirements of the established technical standards, and whether the expected functions can be performed stably and reliably. In addition, with the development of acquisition technology, online monitoring technology based on collected data has also been studied and applied. This technology quickly identifies potential faults of the metering device through the relationship between data such as voltage, current, power factor and the expected range, as well as the correlation between each other, so as to achieve the evaluation of the operating performance of the metering device. However, although the evaluation method in the related art can be competent for the performance evaluation of the metering device in most cases, there are cases where the metering device is completely normal when evaluated alone and deviations occur when used in groups. The evaluation results of a single metering device are difficult to accurately characterize the overall performance of the metering system, and the reliability is poor. Based on this, the present invention proposes an evaluation method, device, system, equipment and medium for an electric energy metering device, and the following is a detailed description of the present disclosure through specific embodiments.

[0036] To facilitate understanding of this embodiment, a method for evaluating an electric energy metering device disclosed in an embodiment of the present disclosure is first introduced in detail. The execution subject of the method for evaluating an electric energy metering device provided in an embodiment of the present disclosure is generally a computer device with certain computing capabilities, and the computer device includes, for example: a terminal device or a server or other processing device, and the terminal device may be a user equipment (UE), a mobile device, a user terminal, a terminal, etc. In some possible implementations, the method for evaluating an electric energy metering device may be implemented by a processor calling a computer-readable instruction stored in a memory.

[0037] Figure 1 The schematic diagram of the flow chart of the electric energy metering device evaluation method provided by the embodiment of the present disclosure is shown. Figure 1 It can be seen that the embodiment of the present disclosure at least includes steps S101 to S104:

[0038] Step S101: Acquire the operation data to be processed, wherein the operation data to be processed includes the power generation sent by each power generation side metering device, the grid-connected power sent by the grid-connected side metering device, and the plant power consumption sent by the plant power consumption metering device.

[0039] In this step, the metering device on the power generation side refers to one or more sets of electric energy metering devices installed at the outlet of various types of generators, which are used for monitoring the operating status of generators, calculating subsidies for new energy power generation, etc. They mainly include electric energy meters and electric energy meter data acquisition devices. Depending on the power and voltage level of the generator, they may also include voltage transformers, current transformers and secondary circuits.

[0040] The grid-connected metering device refers to the electric energy metering device installed at the grid-connected metering point of the power plant. It is mainly used for the settlement of the on-grid and off-grid electricity trade between the power plant and the power grid enterprise. It consists of an electric energy meter, a voltage transformer, a current transformer and a secondary circuit. Here, the grid-connected electricity is the total electricity transmitted by the power plant to the power grid.

[0041] The power metering device for a power plant refers to an energy metering device installed on the medium and low voltage side of the main transformer or on the outgoing side of the busbar that supplies electricity to the power station. It is mainly used to measure the amount of electricity required to maintain the operation of the power plant itself.

[0042] During implementation, the execution subject (e.g., server) of the embodiment of the present disclosure may be connected to each metering device through wired communication, wireless communication, etc. The wired communication method includes, but is not limited to, Ethernet communication, serial communication, etc., and the wireless communication method includes, but is not limited to, Wi-Fi communication, Bluetooth communication, mobile communication network, etc.

[0043] Step S102: Calculate the net power supply according to the power generation, the power consumption of the plant and the acquired power loss.

[0044] For example, electrical quantities sent by devices such as voltage transformers, current transformers, power factor meters, and timers may be received, and the power loss may be calculated in combination with preset device parameters such as resistance and reactance. The embodiment of the present disclosure does not limit the method for obtaining the power loss.

[0045] In specific implementation, the power generation of each power plant can be added together to obtain the total power generation on the power generation side, and then the power consumption and power loss of the power plant can be subtracted from the total power generation to obtain the net power supply. The net power supply is the total power theoretically transmitted by the power plant to the power grid.

[0046] Step S103: Based on the grid-connected power and the net supplied power, the overall error data of each power generation side metering device, the grid-connected side metering device and the power plant electricity metering device are calculated.

[0047] Step S104: according to the overall error data and the preset error threshold, an overall evaluation result for each power generation side metering device, the grid-connected side metering device and the power plant electricity metering device is obtained.

[0048] Here, the preset error threshold can be determined, for example, according to the electric power industry standard DL / T 1478-2015 "Field Inspection Procedure for Electronic AC Electric Energy Meters", according to the accuracy level, operating current, and power factor of the metering device in the current power system, and this embodiment of the present disclosure is not limited to this. The overall evaluation result can be, for example, an evaluation level ("excellent", "good", "average", "poor", etc.), or a specific error value, and this embodiment is not limited to this.

[0049] from Figure 1 It can be seen from the method shown that, considering the combined effect of multiple influencing factors on site and the performance matching between metering devices, the embodiment of the present disclosure adopts an overall perspective, using the total power generation, power loss, power consumption of the plant and station, and grid-connected power and other measured data on the power generation side to calculate the overall error data of the electric energy metering device system, and then obtain the evaluation results for the electric energy metering system through the preset error threshold. Compared with the traditional single device performance test, the embodiment of the present disclosure can accurately evaluate the overall performance of the metering device, with higher reliability, and can provide strong data support for spot market transactions.

[0050] At this stage, the reform of the electricity market is gradually deepening, and the spot market trading model has appeared in various places, and its application scope is still expanding. The most prominent feature of the spot market trading model is that its metering and settlement cycle is very short, usually set between 5-15 minutes. In the short settlement cycle, the amount of electric energy flowing through the electric energy metering device is less than that in the traditional mode, so the impact of the metering error on the trade settlement is more obvious, which correspondingly increases the requirements for the accuracy of the operation of the electric energy metering device and the accuracy of the performance evaluation of the electric energy metering device. The electric energy meters in each metering device have independent built-in clocks, and the time displayed by each clock will be different from each other. Therefore, in order to improve the evaluation accuracy of the time-based metering device performance evaluation method, it is usually set to the same value through terminal synchronization. However, the terminal synchronization process is relatively cumbersome. At the same time, the number of electric energy metering points involved in the evaluation process is large and distributed in different regions, so the terminal synchronization is generally carried out regularly on a weekly, monthly and other long cycles. Obviously, this cannot be consistent with the settlement cycle of spot transactions. And as the operating time increases, the time deviation of each electric energy meter will gradually expand. Therefore, under the current evaluation method, the accuracy and reliability of the performance evaluation of the metering device still have room for further improvement. Based on this, with respect to step S101, in a possible implementation of the present disclosure, the to-be-processed operating data is generated according to the following method:

[0051] Step A1: receiving a first data packet of each metering device sent by each calling and timing device; wherein the first data packet includes operation data of the metering device, and the operation data includes power data; each calling and timing device includes a reference calling and timing device and other calling and timing devices, and each of the other calling and timing devices responds to the first calling signal sent by the reference calling and timing device, reads the power data of the corresponding metering device, and obtains each of the first data packets;

[0052] Step A2: for any first target metering device, obtaining a first time when the corresponding target first data packet is received and a second time when the first call signal is received; and calculating transmission delay data of the first target metering device according to the first time and the second time;

[0053] Step A3: according to the maximum transmission delay data, calculate and obtain the relative delay data of each transmission delay data;

[0054] Step A4: receiving a second data packet of each metering device sent by each calling and timing device; wherein each of the other calling and timing devices responds to the second calling signal sent by the reference calling and timing device, and after reaching the time indicated by the corresponding relative delay data in the second calling signal, reads the power data of the corresponding metering device to obtain each of the second data packets; and the time interval between the first calling signal and the second calling signal is less than a preset time interval;

[0055] Step A5: using the power data in each of the second data packets as the operating data to be processed.

[0056] In this embodiment, each metering device is connected to a call and time synchronization device, each call and time synchronization device has the function of sending and receiving carrier signals, can read and collect required data from the device, and synchronize the time of the device with the standard time source. Any call and time synchronization device can be selected as the reference call and time synchronization device, and the rest can be used as other call and time synchronization devices for subsequent time synchronization.

[0057] During implementation, as a transmitting end, the benchmark call and timing device can inject a specially modulated carrier signal, i.e., a first call signal, into the power line. The first call signal includes data items to be fed back, delay information, and address codes. Here, during the first call analysis process, the delay information can be set to 0. As a receiving end, other call and timing devices respond to the first call signal sent by the benchmark call and timing device. After completing the address matching according to the address code, they can read the electric energy data measured by the metering device where they are located, and send it to the execution subject of the embodiment of the present disclosure (hereinafter referred to as the execution subject). It can be understood that after sending the first call signal, the benchmark call and timing device can immediately send the real-time electric quantity data of the metering device connected to itself to the execution subject. During implementation, the benchmark call and timing device will also send the first call signal to the execution subject.

[0058] After receiving the first data packet sent by each call and timing device, the execution subject can calculate the transmission delay data (the time required from the execution subject receiving the first call signal sent by the reference call and timing device to receiving the first data packet sent by each metering device). In specific implementation, for any first target metering device, the execution subject can time-mark the corresponding target first data packet received according to the built-in clock to obtain the first time tn'; and time-mark the received first call signal to obtain the second time t0. Then, the second time t0 can be subtracted from the first time tn' of each metering device to obtain the transmission delay data △tn=(tn'-t0) of each metering device. In implementation, the transmission delay data of the metering device where the reference call and timing device is located can be regarded as 0. In order to achieve synchronization of multi-point data, the relative delay data of each transmission delay data can be calculated based on the maximum transmission delay data. Specifically, for the to-be-processed transmission delay data corresponding to any metering device, the to-be-processed transmission delay data can be subtracted from the maximum transmission delay data to obtain the corresponding relative delay data.

[0059] Then, the reference call and timing device can inject a specially modulated carrier signal, i.e., a second call signal, into the power line again. The second call signal includes data items to be fed back, delay information, and address codes. Here, the delay information refers to the aforementioned relative delay data. Other call and timing devices respond to the second call signal sent by the reference call and timing device. After reaching the time indicated by the corresponding relative delay data in the second call signal, they can read the electric quantity data of the corresponding metering device and send it to the execution subject of this embodiment. Through the relative delay data, the operation data of each metering device can be collected and received at the same time, thereby realizing the synchronization of multi-point data.

[0060] Exemplarily, the relative delay data corresponding to the benchmark call and timing device is the maximum transmission delay data max(△tn) (under the condition that the transmission delay data of the metering device where the benchmark call and timing device is located is regarded as 0), then the benchmark call and timing device can send the operation data of the corresponding metering device to the execution subject of this embodiment after the delay time reaches max(△tn). Among them, the time interval between the first call signal and the second call signal is less than the preset time interval. Here, the preset time interval can be set according to actual needs, and this embodiment is not limited to this. During implementation, in order to ensure that the delay changes of the two transmission processes are as close as possible, the time interval between the two call signals should be as short as possible.

[0061] Finally, the power data in each second data packet that has completed accurate time synchronization can be used as the operating data to be processed.

[0062] This embodiment innovatively adopts the time synchronization method of actual measurement time scale, that is, the time of each device is synchronized using the time mark of actual measurement to ensure the high consistency of data. By initiating two consecutive data calls in a short period of time, it is possible to more accurately quantify the delays introduced by various factors in the call process, as well as the impact of slight differences in clocks between different metering devices, and accurately measure the communication delay and clock deviation of each metering point, thereby effectively ensuring the synchronization of multi-point metering data at any time point, thereby significantly improving the accuracy and reliability of the performance evaluation of the metering device. The solution provided in this embodiment can realize dynamic time synchronization operations multiple times a day, with a monitoring frequency of up to minutes, greatly improving the response speed and evaluation efficiency. This not only realizes the real-time and dynamic evaluation of the overall performance of the metering device of the power plant station, ensures the accuracy of the electricity and electricity fee transactions, but also effectively ensures the accuracy of the spot transaction settlement data in the power plant station scenario, and significantly enhances the adaptability of the metering system to high-frequency and fast settlement transaction modes.

[0063] In actual application scenarios, there may be some factors such as network delay and transmission time, equipment processing time, clock accuracy and stability, synchronization strategy and algorithm, human factors and configuration errors, which may lead to abnormal timing of the meter, resulting in errors in the data in the second data packet, thus affecting the overall evaluation effect of the subsequent metering device.

[0064] Based on this, in a possible implementation manner of the present disclosure, the first data packet and the second data packet also include current electric energy meter clock data; each of the other call and time synchronization devices responds to the first call signal and also reads the current electric energy meter clock data of the corresponding metering device; each of the other call and time synchronization devices responds to the second call signal and, after reaching the time indicated by the corresponding relative delay data in the second call signal, also reads the current electric energy meter clock data of the corresponding metering device; the method further includes: calculating a first call clock deviation according to the first time and the current electric energy meter clock data in the target first data packet; for any second target metering device, obtaining a third time when the corresponding target second data packet is received; calculating a second call clock deviation according to the third time and the current electric energy meter clock data in the target second data packet; for any third target metering device, calculating the target deviation data between the corresponding first call clock deviation and the second call clock deviation; the taking the electric quantity data in each of the second data packets as the to-be-processed operation data includes: if each of the target deviation data is less than or equal to a preset deviation threshold, taking the operation data in each of the second data packets as the to-be-processed operation data.

[0065] In this embodiment, the first data packet and the second data packet also include the current electric energy meter clock data. During implementation, each other call and time synchronization device responds to the first call signal and can also read the current electric energy meter clock data of the corresponding metering device, and the operation data and the current electric energy meter clock data together constitute the content of the first data packet. Each other call and time synchronization device responds to the second call signal and can also read the current electric energy meter clock data of the corresponding metering device after reaching the time indicated by the corresponding relative delay data in the second call signal, and the operation data and the current electric energy meter clock data together constitute the content of the second data packet.

[0066] After obtaining the current electric energy meter clock data of the two call test processes, the first call test clock deviation and the second call test clock deviation (the deviation between the clock of the execution subject and the clock of the electric energy meter of each electric energy metering device) can be calculated. Specifically, the first call test clock deviation corresponding to each electric energy metering device can be obtained by subtracting the current electric energy meter clock data tn in each target first data packet from the first time tn'. For any second target metering device, the execution subject can time-mark the corresponding target second data packet received according to the built-in clock to obtain the third time. The current electric energy meter clock data in each target second data packet can be subtracted from the third time to obtain the second call test clock deviation corresponding to each electric energy metering device.

[0067] Next, for any third target metering device, the difference between the corresponding first call test clock deviation and the second call test clock deviation can be calculated to obtain multiple target deviation data. It is determined whether each target deviation data is less than or equal to the preset deviation threshold. If each target deviation data is less than or equal to the preset deviation threshold, it indicates that there is no abnormality in the clock value of each metering device, and the data in the second data packet is available. The power data in each second data packet that has completed accurate synchronization can be used as the operation data to be processed.

[0068] This embodiment determines whether the deviation between the two call clocks of each metering device is within the allowable range. Only when the deviations are within the allowable range, the operating data in the second data packet is used as the operating data to be processed, thereby ensuring that the operating data subsequently used to evaluate the overall performance of the metering device is accurate and reliable, thereby improving the accuracy of the evaluation of the overall performance of the metering device.

[0069] In a possible implementation, the method further includes: if there is target deviation data greater than the preset deviation threshold, determining whether the number of cycles reaches the preset number of cycles; if the number of cycles does not reach the preset number of cycles, returning to the step of receiving the first data packet of each metering device sent by each calling and synchronization device; if the number of cycles reaches the preset number of cycles, generating an alarm prompt message.

[0070] In actual application scenarios, if the meter synchronization is abnormal, it can generally return to normal in a very short time after the synchronization is completed, that is, when returning to the step of receiving the first data packet of each electric energy metering device sent by each call and synchronization device, when the next cycle is performed, it is highly likely that each target deviation data will be less than or equal to the preset deviation threshold. If the abnormal problem is caused by the failure of the acquisition equipment or the interference of the communication link, the abnormality may last for a long time.

[0071] Therefore, in this embodiment, after determining that there is target deviation data greater than the preset deviation threshold, it can be determined whether the number of cycles has reached the preset number of cycles. If the number of cycles has not reached the preset number of cycles, it returns to the step of receiving the first data packet of each metering device sent by each call and synchronization device, and continues to execute subsequent steps; if the number of cycles reaches the preset number of cycles, it indicates that the abnormality has lasted for a long time, and an alarm prompt information can be generated, such as by voice broadcasting to remind the management personnel to respond in time. Here, the preset number of cycles can be set according to actual needs, and this embodiment does not limit this.

[0072] In step S103, in a possible implementation, the overall error data can be obtained by subtracting the net supply power from the grid-connected power. In another possible implementation, the overall error data of each power generation side metering device, the grid-connected side metering device and the power consumption metering device of the plant station are calculated based on the grid-connected power and the net supply power, including: calculating the difference between the grid-connected power and the net supply power; and obtaining the overall error data by comparing the difference with the net supply power.

[0073] That is, the overall error data can be calculated according to the following formula:

[0074]

[0075] In a possible implementation manner, the operating data to be processed also includes basic measurement data of an electric energy meter in a metering device, and the basic measurement data includes at least one of the following: voltage, current, and power factor. The method also includes: for any target metering device, using a preset analysis model, performing a risk assessment on the corresponding target basic measurement data to obtain a risk assessment result.

[0076] In this embodiment, each other call and synchronization device responds to the first call signal and the second call signal, and can also read the basic measurement data of the electric energy meter in the corresponding metering device. Here, the basic measurement data includes but is not limited to: voltage, current and power factor. Exemplarily, the basic measurement data include voltage, current and power factor. Here, the preset analysis and judgment model is a model that can determine whether the basic measurement data is abnormal. For example, the preset analysis and judgment model can be constructed using the following methods: statistical-based methods (such as Z-score, IQR, etc.), distance-based methods (such as KNN, LOF, etc.), density-based methods (such as DBSCAN, OPTICS, etc.) or machine learning-based methods (such as SVM, random forests, etc.). This is not limited to the embodiments of the present disclosure, and can be selected according to actual needs.

[0077] This embodiment, on the basis of the overall performance evaluation of the metering device, also makes abnormal judgments on various power data. Abnormal power data can reflect potential faults of power grid equipment (for example, voltage loss indicates serious deviation of system voltage, current loss indicates leakage or open circuit of current loop, voltage over-limit and current overload may cause insulation damage or equipment overheating and fire, etc.). By detecting these fault problems, a multi-dimensional evaluation of the performance of the metering device can be achieved, which is convenient for operators to take measures to avoid potential risks or reduce losses, thereby significantly improving the reliability, safety and economy of the metering device and the power grid in which it is located.

[0078] The electric energy metering device evaluation method provided in the embodiment of the present disclosure can also generate abnormal alarm information based on the overall evaluation results and / or the risk assessment results after performing overall evaluation and risk assessment. In specific implementation, the supervisor can be reminded to respond in time through external devices such as the Internet, telephone, text message, sound and light alarm or display. In specific applications, different abnormal alarm information can be generated for different evaluation results according to preset strategies. For example, when the error in the overall evaluation result exceeds the tolerance by no more than 0.1%, a pop-up window will appear on the front-end interface. When it is between 0.1% and 0.2%, a voice broadcast and a flash prompt will be triggered; when it exceeds 0.2%, a network text message will be sent or a voice call will be made. This embodiment does not limit the preset strategy, and it can be set according to actual needs.

[0079] The present disclosure also provides a method for evaluating an electric energy metering device, comprising the following steps:

[0080] Step 1: Receive the first data packet of each metering device sent by each call and time synchronization device. The first data packet includes the operation data of the metering device and the current clock data of the electric energy meter, and the operation data includes the electric quantity data and basic measurement data; each call and time synchronization device includes a reference call and time synchronization device and other call and time synchronization devices, and each other call and time synchronization device responds to the first call signal sent by the reference call and time synchronization device, reads the electric quantity data, the current clock data of the electric energy meter and the basic measurement data of the corresponding metering device, and obtains each first data packet; the basic measurement data includes at least one of the following: voltage, current and power factor.

[0081] Step 2: For any first target metering device, obtain a first time when the corresponding target first data packet is received and a second time when the first call signal is received; and calculate the transmission delay data of the first target metering device according to the first time and the second time.

[0082] Step 3: According to the maximum transmission delay data, the relative delay data of each transmission delay data is calculated.

[0083] Step 4: receiving the second data packets of each metering device sent by each calling and timing device; wherein, each other calling and timing device responds to the second calling signal sent by the reference calling and timing device, and after reaching the time indicated by the corresponding relative delay data in the second calling signal, reads the electric quantity data, the current electric energy meter clock data and the basic measurement data of the corresponding metering device to obtain each second data packet; and the time interval between the first calling signal and the second calling signal is less than the preset time interval.

[0084] Step 5: Calculate the first call clock deviation according to the first time and the current electric energy meter clock data in the target first data packet.

[0085] Step 6: For any second target metering device, obtain a third time when the corresponding target second data packet is received; and calculate a second call clock deviation according to the third time and the current electric energy meter clock data in the target second data packet.

[0086] Step 7: For any third target metering device, calculate the target deviation data between the corresponding first call detection clock deviation and the second call detection clock deviation.

[0087] Step 8: If each target deviation data is less than or equal to the preset deviation threshold, the operation data in each second data packet is used as the operation data to be processed.

[0088] Step 9: If there is target deviation data greater than the preset deviation threshold, determine whether the number of cycles reaches the preset number of cycles.

[0089] Step 10: If the number of cycles does not reach the preset number of cycles, return to step 1.

[0090] Step 11: If the number of cycles reaches the preset number of cycles, an alarm prompt message is generated.

[0091] Step 12: Calculate the net power supply based on the power generation, power consumption of the plant and station and the acquired power loss in the operating data to be processed.

[0092] Step 13: Calculate the difference between the grid-connected power and the net power supplied.

[0093] Step 14: Use the difference ratio to supply the net power and obtain the overall error data.

[0094] Step 15: Based on the overall error data and the preset error threshold, obtain the overall evaluation results for each power generation side metering device, grid-connected side metering device and plant power metering device.

[0095] Step 16: For any target metering device, use the preset analysis model to conduct risk assessment on the corresponding target basic measurement data to obtain the risk assessment result.

[0096] Step 17: Generate abnormal alarm information based on the overall assessment results and / or risk assessment results.

[0097] Those skilled in the art will appreciate that, in the above method of the specific implementation manner, the writing order of the steps does not mean a strict execution order, but does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0098] It should be noted that, in practical applications, all possible implementations described above can be combined in any manner to form possible embodiments of the present disclosure, which will not be described one by one here.

[0099] Based on the same concept, the embodiment of the present disclosure also provides an electric energy metering device evaluation device, Figure 2 The schematic diagram of the structure of the electric energy metering device evaluation device provided by the embodiment of the present disclosure is shown in FIG. Figure 2 As shown, the electric energy metering device evaluation device 200 provided in the embodiment of the present disclosure includes:

[0100] The acquisition module 201 is used to acquire the operation data to be processed, wherein the operation data to be processed includes the power generation sent by each power generation side metering device, the grid-connected power sent by the grid-connected side metering device, and the power consumption of the plant and station sent by the power consumption metering device of the plant and station;

[0101] A first calculation module 202 is used to calculate the net power supply according to the power generation, the power consumption of the plant and the acquired power loss;

[0102] A second calculation module 203 is used to calculate the overall error data of each power generation side metering device, the grid-connected side metering device and the power station power metering device based on the grid-connected power and the net supplied power;

[0103] The evaluation module 204 is used to obtain an overall evaluation result for each power generation side metering device, the grid-connected side metering device and the power plant electricity metering device according to the overall error data and a preset error threshold.

[0104] In a possible implementation manner, the device further includes a generating module, configured to:

[0105] Receive a first data packet of each metering device sent by each calling and timing device; wherein the first data packet includes operation data of the metering device, and the operation data includes power data; each calling and timing device includes a reference calling and timing device and other calling and timing devices, and each of the other calling and timing devices responds to the first calling signal sent by the reference calling and timing device, reads the power data of the corresponding metering device, and obtains each of the first data packets;

[0106] For any first target metering device, a first time when a corresponding target first data packet is received and a second time when the first call signal is received are obtained; transmission delay data of the first target metering device is calculated based on the first time and the second time;

[0107] According to the maximum transmission delay data, relative delay data of each transmission delay data is calculated;

[0108] receiving a second data packet of each metering device sent by each calling and timing device; wherein each of the other calling and timing devices responds to the second calling signal sent by the reference calling and timing device, and after reaching the time indicated by the corresponding relative delay data in the second calling signal, reads the electric quantity data of the corresponding metering device to obtain each of the second data packets; and the time interval between the first calling signal and the second calling signal is less than a preset time interval;

[0109] The power data in each of the second data packets is used as the operation data to be processed.

[0110] In a possible implementation manner, the first data packet and the second data packet also include current electric energy meter clock data; each of the other call and timing devices responds to the first call signal and also reads the current electric energy meter clock data of the corresponding metering device; each of the other call and timing devices responds to the second call signal and, after reaching the time indicated by the corresponding relative delay data in the second call signal, also reads the current electric energy meter clock data of the corresponding metering device; the device also includes a clock verification module, which is used to: calculate a first call clock deviation according to the first time and the current electric energy meter clock data in the target first data packet; for any second target metering device, obtain a third time when the corresponding target second data packet is received; calculate a second call clock deviation according to the third time and the current electric energy meter clock data in the target second data packet; for any third target metering device, calculate the target deviation data between the corresponding first call clock deviation and the second call clock deviation; the generating module is used to: if each of the target deviation data is less than or equal to a preset deviation threshold, use the operation data in each of the second data packets as the operation data to be processed.

[0111] In a possible implementation manner, the device further includes a first alarm module, which is used to: if there is target deviation data greater than the preset deviation threshold, determine whether the number of cycles reaches the preset number of cycles; if the number of cycles does not reach the preset number of cycles, return to the step of receiving the first data packet of each metering device sent by each calling and synchronization device; if the number of cycles reaches the preset number of cycles, generate an alarm prompt message.

[0112] In a possible implementation manner, the operating data to be processed also includes basic measurement data of an electric energy meter in a metering device, and the basic measurement data includes at least one of the following: voltage, current, and power factor; the device also includes a risk assessment module, which is used to: for any target metering device, use a preset analysis model to perform a risk assessment on the corresponding target basic measurement data to obtain a risk assessment result.

[0113] In a possible implementation manner, the device further includes a second alarm module, configured to generate abnormal alarm information based on the overall assessment result and / or the risk assessment result.

[0114] It should be noted that any of the above-mentioned electric energy metering device evaluation devices can implement the above-mentioned electric energy metering device evaluation method one-to-one, which will not be repeated here.

[0115] Based on the same concept, the embodiment of the present disclosure also provides an electric energy metering device evaluation system. Figure 3 The schematic diagram of the structure of the electric energy metering device evaluation system provided by the embodiment of the present disclosure is shown in FIG. Figure 3 As shown, the electric energy metering device evaluation system 300 provided in the embodiment of the present disclosure includes:

[0116] An electric energy metering device evaluation unit, used to implement any of the above-mentioned electric energy metering device evaluation methods;

[0117] At least one power generation side metering device, used to measure the power generation of the generator and send it to the power metering device evaluation unit;

[0118] A grid-connected metering device is used to measure the grid-connected electricity connected to the grid-connected point of the power plant station and send it to the evaluation unit of the electric energy metering device;

[0119] The power plant electricity metering device is used to measure the power plant electricity consumption required to maintain the operation of the power plant and send it to the electric energy metering device evaluation unit.

[0120] Figure 4 FIG. 1 shows a schematic diagram of a structure of an electric energy metering device evaluation system provided by another embodiment of the present disclosure, see Figure 4 As shown, in a possible implementation manner, the system 300 further includes: a call and time synchronization device, wherein each call and time synchronization device is connected to a metering device, and the call and time synchronization device includes: a reference call and time synchronization device and other call and time synchronization devices;

[0121] The at least one power generation side metering device is used to measure the power generation of the generator and send it to the corresponding call and timing device;

[0122] The grid-connected side metering device is used to measure the grid-connected electricity connected to the power plant grid-connected point and send it to the corresponding call and time synchronization device;

[0123] The power plant electricity metering device is used to measure the power plant electricity consumption required to maintain the operation of the power plant and send it to the corresponding call and time synchronization device;

[0124] The reference call and time synchronization device is used to send a first call signal and a second call signal to other call and time synchronization devices and the electric energy metering device evaluation unit; and read a first data packet and a second data packet sent by a corresponding metering device, and send them to the electric energy metering device evaluation unit; wherein the first data packet and the second data packet include operating data of the metering device, and the operating data include electric quantity data;

[0125] The other call and timing device is used to receive the first call signal and the second call signal; read the first data packet and the second data packet sent by the corresponding metering device, and send them to the evaluation unit of the electric energy metering device.

[0126] Figure 5 FIG. 1 shows a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. Figure 5 As shown, at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage, etc. Of course, the electronic device may also include hardware required for other services.

[0127] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0128] The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor.

[0129] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming an electric energy metering device evaluation device at the logical level. The processor executes the program stored in the memory and is specifically used to execute the above method.

[0130] The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present disclosure may be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present disclosure may be directly embodied as being executed by a hardware decoding processor, or may be executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0131] The electronic device can execute the electric energy metering device evaluation method provided by the multiple embodiments of the present disclosure, and realize the electric energy metering device evaluation device in Figure 2 The functions of the illustrated embodiments will not be described in detail in the embodiments of the present disclosure.

[0132] The embodiments of the present disclosure also propose a computer-readable storage medium, which stores one or more programs, and the one or more programs include instructions. When the instructions are executed by an electronic device including multiple application programs, the electronic device can execute the electric energy metering device evaluation method provided by multiple embodiments of the present disclosure.

[0133] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0134] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0137] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0138] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0139] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0140] The embodiments of the present disclosure also provide a computer program product, which carries a program code. The instructions included in the program code can be used to execute the steps of the electric energy metering device evaluation method described in the above method embodiment. For details, please refer to the above method embodiment, which will not be repeated here.

[0141] The computer program product may be implemented in hardware, software or a combination thereof. In one optional embodiment, the computer program product is implemented as a computer storage medium. In another optional embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0142] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity or device including the element.

[0143] It will be appreciated by those skilled in the art that the embodiments of the present disclosure may be provided as methods, systems or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0144] The above are only embodiments of the present disclosure and are not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the scope of the claims of the present disclosure.

Claims

1. A method for evaluating an electric energy metering device, characterized in that: The method comprises: Acquire the operation data to be processed, wherein the operation data to be processed includes the power generation sent by each power generation side metering device, the grid-connected power sent by the grid-connected side metering device, and the plant and station power consumption sent by the plant and station power consumption metering device; Calculate the net power supply according to the power generation, the power consumption of the plant and the acquired power loss; Based on the grid-connected power and the net supplied power, the overall error data of each power generation side metering device, the grid-connected side metering device and the power station power metering device are calculated; According to the overall error data and the preset error threshold, an overall evaluation result for each power generation side metering device, the grid-connected side metering device and the plant power metering device is obtained.

2. The method according to claim 1, characterized in that The operation data to be processed is generated according to the following method: Receive a first data packet of each metering device sent by each calling and timing device; wherein the first data packet includes operation data of the metering device, and the operation data includes power data; each calling and timing device includes a reference calling and timing device and other calling and timing devices, and each of the other calling and timing devices responds to the first calling signal sent by the reference calling and timing device, reads the power data of the corresponding metering device, and obtains each of the first data packets; For any first target metering device, a first time when a corresponding target first data packet is received and a second time when the first call signal is received are obtained; transmission delay data of the first target metering device is calculated based on the first time and the second time; According to the maximum transmission delay data, relative delay data of each transmission delay data is calculated; receiving a second data packet of each metering device sent by each calling and timing device; wherein each of the other calling and timing devices responds to the second calling signal sent by the reference calling and timing device, and after reaching the time indicated by the corresponding relative delay data in the second calling signal, reads the electric quantity data of the corresponding metering device to obtain each of the second data packets; and the time interval between the first calling signal and the second calling signal is less than a preset time interval; The power data in each of the second data packets is used as the operation data to be processed.

3. The method according to claim 2, characterized in that The first data packet and the second data packet also include the current electric energy meter clock data; each of the other call and time synchronization devices responds to the first call signal and also reads the current electric energy meter clock data of the corresponding metering device; each of the other call and time synchronization devices responds to the second call signal and also reads the current electric energy meter clock data of the corresponding metering device after reaching the time indicated by the corresponding relative delay data in the second call signal; The method further comprises: Calculate a first call clock deviation according to the first time and the current electric energy meter clock data in the target first data packet; For any second target metering device, a third time when the corresponding target second data packet is received is obtained; a second call clock deviation is calculated based on the third time and the current electric energy meter clock data in the target second data packet; For any third target metering device, calculate the target deviation data between the corresponding first call measurement clock deviation and the second call measurement clock deviation; The taking the power data in each of the second data packets as the operating data to be processed includes: if each of the target deviation data is less than or equal to a preset deviation threshold, taking the operating data in each of the second data packets as the operating data to be processed.

4. The method according to claim 3, characterized in that The method further comprises: If there is target deviation data greater than the preset deviation threshold, determining whether the number of cycles reaches the preset number of cycles; If the number of cycles does not reach the preset number of cycles, returning to the step of receiving the first data packet of each metering device sent by each calling and timing device; If the number of cycles reaches the preset number of cycles, an alarm prompt message is generated.

5. The method according to any one of claims 1 to 4, characterized in that: The operation data to be processed also includes basic measurement data of the electric energy meter in the metering device, and the basic measurement data includes at least one of the following: voltage, current and power factor; The method further comprises: For any target metering device, the preset analysis and judgment model is used to conduct risk assessment on the corresponding target basic measurement data to obtain the risk assessment result.

6. The method according to claim 5, characterized in that The method further comprises: Based on the overall assessment result and / or the risk assessment result, abnormal alarm information is generated.

7. An electric energy metering device evaluation device, characterized in that: The device comprises: An acquisition module is used to acquire the operation data to be processed, wherein the operation data to be processed includes the power generation sent by each power generation side metering device, the grid-connected power sent by the grid-connected side metering device, and the plant and station power consumption sent by the plant and station power consumption metering device; A first calculation module is used to calculate the net power supply according to the power generation, the power consumption of the plant and the acquired power loss; A second calculation module is used to calculate the overall error data of each power generation side metering device, the grid-connected side metering device and the power station power metering device based on the grid-connected power and the net supplied power; An evaluation module is used to obtain an overall evaluation result for each power generation side metering device, the grid-connected side metering device and the plant power metering device according to the overall error data and a preset error threshold.

8. An electric energy metering device evaluation system, characterized in that: The system comprises: An electric energy metering device evaluation unit, configured to implement an electric energy metering device evaluation method as claimed in any one of claims 1 to 6; At least one power generation side metering device, used to measure the power generation of the generator and send it to the power metering device evaluation unit; A grid-connected metering device is used to measure the grid-connected electricity connected to the grid-connected point of the power plant station and send it to the evaluation unit of the electric energy metering device; The power plant electricity metering device is used to measure the power plant electricity consumption required to maintain the operation of the power plant and send it to the electric energy metering device evaluation unit.

9. The system according to claim 8, characterized in that The system further comprises: a call and time synchronization device, wherein each call and time synchronization device is connected to a metering device, and the call and time synchronization device comprises: a reference call and time synchronization device and other call and time synchronization devices; The at least one power generation side metering device is used to measure the power generation of the generator and send it to the corresponding call and timing device; The grid-connected side metering device is used to measure the grid-connected electricity connected to the power plant grid-connected point and send it to the corresponding call and time synchronization device; The power plant electricity metering device is used to measure the power plant electricity consumption required to maintain the operation of the power plant and send it to the corresponding call and time synchronization device; The reference call and time synchronization device is used to send a first call signal and a second call signal to other call and time synchronization devices and the electric energy metering device evaluation unit; and read a first data packet and a second data packet sent by a corresponding metering device, and send them to the electric energy metering device evaluation unit; wherein the first data packet and the second data packet include operating data of the metering device, and the operating data include electric quantity data; The other call and timing device is used to receive the first call signal and the second call signal; read the first data packet and the second data packet sent by the corresponding metering device, and send them to the evaluation unit of the electric energy metering device.

10. An electronic device comprising: processor; as well as A memory arranged to store computer executable instructions, wherein when the executable instructions are executed, the processor is caused to perform the steps of the method according to any one of claims 1 to 6.

11. A computer-readable storage medium storing one or more programs, characterized in that: When the one or more programs are executed by an electronic device including a plurality of application programs, the electronic device executes the steps of the method as claimed in any one of claims 1 to 6.

12. A computer program product, characterized in that The computer program product carries a program code, and the program code includes instructions that can be used to execute the steps of any one of the methods according to claims 1-6.

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