CN117761600A - A monitoring method and device for distributed energy energy metering data - Google Patents

Abstract

The invention provides a method and a device for monitoring distributed energy electric energy metering data, and relates to the technical field of new energy. According to the invention, the IP module is arranged on each distributed energy station, the power generation data, the illumination data and the temperature data of each distributed energy station are monitored through the IP module, the distributed energy stations are divided based on the position information, the illumination data and the temperature data, the power generation data of a plurality of distributed energy stations are compared transversely and longitudinally, the error judgment is carried out, the distributed energy stations with the measurement misalignment are determined, the measurement misalignment detection of the distributed energy stations is realized, and the measurement accuracy of the distributed energy is improved.

Description

A monitoring method and device for distributed energy energy metering data

Technical field

The invention relates to the field of new energy technology, and in particular to a method and device for monitoring distributed energy energy metering data.

Background technique

With the development of society, the demand for energy continues to increase. Energy issues have increasingly become a bottleneck restricting international social and economic development. More and more countries have begun to develop photovoltaic, wind energy and other distributed energy stations to seek new impetus for economic development. Distributed energy stations such as photovoltaic and wind energy have the advantages of low carbon and renewable energy, and their penetration rate in the power grid is increasing year by year.

As time goes by, the running time of distributed energy stations increases year by year, and the lines and equipment of distributed energy stations appear to be aging and the failure rate increases. The metering loop of distributed energy stations also suffers from metering inaccuracy. For example, the metering loop line is damaged, the transformer is stuck and short-circuited, the line is discharged to the ground, the metering loop loss increases, etc., resulting in inaccurate metering of distributed energy stations.

Contents of the invention

The invention provides a method and device for monitoring distributed energy electric energy measurement data, which can realize measurement inaccuracy detection of distributed energy stations and improve the accuracy of distributed energy measurement.

In a first aspect, the present invention provides a monitoring method for distributed energy energy metering data, which is applied to multiple distributed energy stations. Each distributed energy station is provided with an IP module. The monitoring method includes: acquiring multiple distributed energy stations. The power generation data and IP address of the energy station, as well as the lighting data and temperature data of the area where each distributed energy station is located; determine the location information of each distributed energy station based on the IP address of each distributed energy station; based on multiple The location information, lighting data and temperature data of each distributed energy station are divided into areas where multiple distributed energy stations are located, and multiple combinations are obtained; each combination includes multiple distributions with similar location information, lighting data and temperature data. type energy station; based on the power generation data of multiple distributed energy stations in each combination, the measurement error is determined and the distributed energy station with inaccurate measurement is determined.

In a possible implementation, determining the location information of each distributed energy station based on the IP address of each distributed energy station includes: querying the preset mapping relationship based on the IP address of each distributed energy station, Determine the location information of each distributed energy station. 3. The monitoring method of distributed energy energy metering data according to claim 1, characterized in that the areas where the multiple distributed energy stations are located are divided based on the location information, lighting data and temperature data of the multiple distributed energy stations. , multiple combinations are obtained, including: based on the location information of multiple distributed energy stations, divided into multiple areas, and determining multiple distributed energy stations in each area; based on lighting data and temperature data, divided into multiple Illumination intervals and temperature intervals; based on multiple illumination intervals and temperature intervals, multiple distributed energy stations in each area are divided to obtain multiple combinations.

In one possible implementation, the power generation data includes the real-time power generation and photovoltaic area of each distributed energy station; based on the power generation data of multiple distributed energy stations within each combination, the measurement error is determined to determine the measurement inaccuracy. distributed energy stations, including: calculating the power generation per unit area of each distributed energy station based on the real-time power generation and photovoltaic area of each distributed energy station; calculating the unit area of multiple distributed energy stations within each combination The average value of generated power; calculate the difference between the generated power per unit area of each distributed energy station in each combination and the average value; determine the distributed energy station with a difference greater than the set threshold as a distributed energy station with inaccurate measurement Energy station.

In a possible implementation, the power generation data also includes historical power generation data of each distributed energy station; the lighting data includes historical lighting data, and the temperature data includes historical temperature data; the monitoring method also includes: based on each distributed energy station The historical illumination data and historical temperature data are divided into multiple illumination intervals and temperature intervals; based on the multiple illumination intervals and temperature intervals, the historical periods of each distributed energy station are divided to obtain multiple period combinations, each period The combination includes multiple power generation periods with similar light data and temperature data in the historical period of each distributed energy station; compare the historical power generation data of multiple power generation periods in each period combination of each distributed energy station to determine each The power generation period during which the distributed energy station's metering is inaccurate; based on the power generation period during which each distributed energy station's metering is inaccurate, and the number of power generation periods in multiple time period combinations, determine the probability of each distributed energy station's metering being inaccurate; A distributed energy station with a probability greater than the set probability is determined to be a distributed energy station with inaccurate measurement.

In one possible implementation, based on the power generation data of multiple distributed energy stations in each combination, the measurement error is determined. After determining the distributed energy station with inaccurate measurement, it also includes: monitoring the distributed energy station with inaccurate measurement. The number of measurement inaccuracies of the energy station; for any distributed energy station with inaccurate measurement, if the number of measurement inaccuracies of the distributed energy station within the set time period is greater than the set number, the distributed energy station is determined to be the energy source to be repaired. station; based on the identification information, IP address, location information and measurement error of the energy station to be maintained, maintenance information is generated; the maintenance information is used to instruct maintenance personnel to perform maintenance on the energy station to be maintained.

In one possible implementation, based on the power generation data of multiple distributed energy stations in each combination, the measurement error is determined. After determining the distributed energy station with inaccurate measurement, it also includes: monitoring the distributed energy station with inaccurate measurement. The generated power of the energy station, as well as the input current and input voltage of the grid-connected inverter; based on the generated power and the generating area of the distributed energy station with metering inaccuracy, the generated power per unit area is determined; for the distribution of any metering inaccuracy Type energy station, if the error between the average area power generation of the energy station and the standard power generation per unit area is greater than the set error, then the input power of the grid-connected inverter of the energy station is calculated based on the input current and input voltage; Based on the generated power and input power, calculate the conversion efficiency of the grid-connected inverter; if the conversion efficiency of the grid-connected inverter is less than the set efficiency, determine that the grid-connected inverter of the energy station needs to be inspected; if the grid-connected inverter If the conversion efficiency of the converter is greater than or equal to the set efficiency, it is determined that the photovoltaic panels of the energy station need to be inspected.

In one possible implementation, based on the power generation data of multiple distributed energy stations in each combination, the measurement error is determined. After determining the distributed energy station with inaccurate measurement, it also includes: obtaining the distributed energy in the target area. The grid-connected power, as well as the power generation and metering inaccuracy of multiple distributed energy stations in the target area; calculate the sum of the power generation of multiple distributed energy stations in the target area; if the power generation of multiple distributed energy stations in the target area If the sum of generated power is less than or equal to the grid-connected power, then multiple distributed energy stations in the target area will be put into the grid; if the sum of the generated power of multiple distributed energy stations in the target area is greater than the grid-connected power, then multiple distributed energy stations in the target area will be calculated. The power difference between the sum of the generated power of distributed energy stations and the power entering the grid; based on the power difference and the generated power of multiple distributed energy stations in the target area, power matching is performed to obtain multiple matching combinations; each matching combination It includes multiple distributed energy stations where the error between the sum of generated power and the power difference is less than the set error; based on the measurement inaccuracy of multiple distributed energy stations in each matching combination, the comprehensive error of each matching combination is calculated. Accuracy error; remove multiple distributed energy stations in the target matching combination with the largest comprehensive misalignment error.

In one possible implementation, removing multiple distributed energy stations in the target matching combination with the largest comprehensive misalignment error includes: determining the IP addresses of multiple distributed energy stations in the target matching combination; based on multiple distributions The IP address of the energy station is used to send removal information to multiple distributed energy stations in the target matching combination. The removal information is used to instruct the distributed energy station to disconnect from the power grid.

In the second aspect, embodiments of the present invention provide a monitoring device for distributed energy energy metering data, which is applied to multiple distributed energy stations. Each distributed energy station is provided with an IP module. The monitoring device includes: a communication module, Used to obtain the power generation data and IP addresses of multiple distributed energy stations, as well as the lighting data and temperature data of the area where each distributed energy station is located; the processing module is used to determine based on the IP address of each distributed energy station The location information of each distributed energy station; based on the location information, lighting data and temperature data of multiple distributed energy stations, the areas where multiple distributed energy stations are located are divided to obtain multiple combinations; each combination includes the location Multiple distributed energy stations with similar information, lighting data and temperature data; based on the power generation data of multiple distributed energy stations in each combination, the measurement error is determined to determine the distributed energy station with inaccurate measurement.

In a possible implementation, the processing module is specifically configured to query the preset mapping relationship based on the IP address of each distributed energy station and determine the location information of each distributed energy station.

In a possible implementation, the processing module is specifically used to divide the multiple distributed energy stations into multiple areas based on the location information of the multiple distributed energy stations, and determine the multiple distributed energy stations in each area; based on the lighting data and The temperature data is divided into multiple illumination intervals and temperature intervals; based on the multiple illumination intervals and temperature intervals, multiple distributed energy stations in each area are divided to obtain multiple combinations.

In a possible implementation, the power generation data includes the real-time power generation and photovoltaic area of each distributed energy station; the processing module is specifically configured to calculate each power generation based on the real-time power generation and photovoltaic area of each distributed energy station. The power generation per unit area of distributed energy stations; calculate the average power generation per unit area of multiple distributed energy stations in each combination; calculate the difference between the power generation per unit area of each distributed energy station in each combination and the average Difference; a distributed energy station with a difference greater than the set threshold is determined as a distributed energy station with inaccurate measurement.

In a possible implementation, the power generation data also includes historical power generation data of each distributed energy station; the lighting data includes historical lighting data, and the temperature data includes historical temperature data; the processing module is also used to generate data based on each distributed energy source. The historical illumination data and historical temperature data of the station are divided into multiple illumination intervals and temperature intervals; based on the multiple illumination intervals and temperature intervals, the historical periods of each distributed energy station are divided to obtain multiple period combinations. The time period combination includes multiple power generation periods with similar light data and temperature data in the historical period of each distributed energy station; compare the historical power generation data of multiple power generation periods in each time period combination of each distributed energy station to determine each The power generation period in which the metering of each distributed energy station is inaccurate; based on the power generation period in which the metering of each distributed energy station is inaccurate, and the number of power generation periods in multiple time period combinations, determine the probability of metering inaccuracy in each distributed energy station; Distributed energy stations with a probability greater than the set probability are determined as distributed energy stations with inaccurate measurement.

In a possible implementation, the communication module is also used to monitor the number of measurement inaccuracies of distributed energy stations with inaccurate measurement; the processing module is also used to monitor any distributed energy station with inaccurate measurement. If the setting If the number of measurement inaccuracies of the distributed energy station within the time period is greater than the set number, the distributed energy station is determined to be an energy station to be overhauled; maintenance information is generated based on the identification information, IP address, location information and measurement error of the energy station to be overhauled. ;The maintenance information is used to instruct maintenance personnel to perform maintenance on the energy station to be maintained.

In a possible implementation, the communication module is also used to monitor the generated power of distributed energy stations with inaccurate metering, as well as the input current and input voltage of the grid-connected inverter; the processing module is also used to monitor the generated power based on , and the power generation area of the distributed energy station with inaccurate measurement, determine the power generation per unit area; for any distributed energy station with inaccurate measurement, if the average area power generation of the energy station and the standard power generation per unit area are If the error is greater than the set error, calculate the input power of the grid-connected inverter of the energy station based on the input current and input voltage; calculate the conversion efficiency of the grid-connected inverter based on the generated power and input power; if the grid-connected inverter If the conversion efficiency of the grid-connected inverter is less than the set efficiency, it is determined that the grid-connected inverter of the energy station needs to be overhauled; if the conversion efficiency of the grid-connected inverter is greater than or equal to the set efficiency, it is determined that the photovoltaic panels of the energy station need to be overhauled.

In a possible implementation, the communication module is also used to obtain the grid-connected power of distributed energy sources in the target area, as well as the power generation and metering inaccuracy of multiple distributed energy stations in the target area; the processing module is also used To calculate the sum of the generated power of multiple distributed energy stations in the target area; if the sum of the generated power of multiple distributed energy stations in the target area is less than or equal to the grid-connected power, then put the multiple distributed energy stations in the target area into Grid; if the sum of the generated power of multiple distributed energy stations in the target area is greater than the grid-connected power, calculate the power difference between the sum of the generated power of multiple distributed energy stations in the target area and the grid-connected power; based on the power difference, As well as the generated power of multiple distributed energy stations in the target area, power matching is performed to obtain multiple matching combinations; each matching combination includes multiple distributed energy sources whose error between the sum of generated power and the power difference is less than the set error. station; based on the measurement inaccuracy of multiple distributed energy stations in each matching combination, calculate the comprehensive misalignment error of each matching combination; remove multiple distributed energy stations in the target matching combination with the largest comprehensive misalignment error.

In a possible implementation, the processing module is specifically used to determine the IP addresses of multiple distributed energy stations in the target matching combination; based on the IP addresses of the multiple distributed energy stations, The distributed energy station sends cut-off information, and the cut-off information is used to instruct the distributed energy station to disconnect from the power grid.

The present invention provides a method and device for monitoring distributed energy electric energy measurement data. The present invention monitors the power generation data, lighting data and temperature data of each distributed energy station through the IP module by setting up an IP module in each distributed energy station. , and divide the distributed energy stations based on location information, lighting data and temperature data, compare the power generation data of multiple distributed energy stations horizontally and vertically, make error determinations, determine the distributed energy stations with inaccurate measurement, and realize distributed energy stations. Measurement inaccuracy detection of energy stations improves the accuracy of distributed energy measurement.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings in the following description are only illustrative of the present invention. For some embodiments, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a schematic flow chart of a method for monitoring distributed energy energy metering data provided by an embodiment of the present invention;

Figure 2 is a schematic structural diagram of a monitoring device for distributed energy energy metering data provided by an embodiment of the present invention.

Detailed ways

In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the present invention in unnecessary detail.

In the description of the present invention, unless otherwise stated, "/" means "or". For example, A/B can mean A or B. "And/or" in this article is just an association relationship that describes related objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone these three situations. In addition, "at least one" and "plurality" mean two or more. Words such as "first" and "second" do not limit the quantity and order of execution, and words such as "first" and "second" do not limit the number or order of execution.

In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner that is easier to understand.

Furthermore, references to the terms "including" and "having" and any variations thereof in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally also includes other unlisted steps or modules, or optionally also Includes other steps or modules that are inherent to such processes, methods, products, or devices.

In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described below through specific embodiments in conjunction with the accompanying drawings.

As mentioned in the background technology, currently distributed energy stations have problems with aging lines and inaccurate measurement.

In order to solve the above technical problems, as shown in Figure 1, an embodiment of the present invention provides a method for monitoring distributed energy energy metering data. Applied to multiple distributed energy stations, each distributed energy station is equipped with an IP module. The monitoring method includes steps S101-S104.

S101. Obtain the power generation data and IP addresses of multiple distributed energy stations, as well as the lighting data and temperature data of the area where each distributed energy station is located.

In some embodiments, the power generation data includes real-time power generation and photovoltaic area of each distributed energy station;

In some embodiments, the power generation data also includes historical power generation data of each distributed energy station.

In some embodiments, the illumination data includes real-time illumination data and historical illumination data, and the temperature data includes real-time temperature data and historical temperature data.

As a possible implementation manner, embodiments of the present invention can determine the lighting data and temperature data of the area where the distributed energy station is located based on the weather conditions of the area where the distributed energy station is located.

S102. Determine the location information of each distributed energy station based on the IP address of each distributed energy station.

As a possible implementation manner, the embodiment of the present invention can query the preset mapping relationship based on the IP address of each distributed energy station to determine the location information of each distributed energy station.

In some embodiments, the preset mapping relationship is a mapping relationship between the IP address of the distributed energy station and the location information of the distributed energy station.

S103. Based on the location information, lighting data and temperature data of multiple distributed energy stations, divide the areas where multiple distributed energy stations are located to obtain multiple combinations.

In this embodiment of the present invention, each combination includes multiple distributed energy stations with similar location information, lighting data and temperature data.

As a possible implementation manner, the embodiment of the present invention can determine multiple combinations based on steps S1031-S1033.

S1031. Based on the location information of multiple distributed energy stations, divide it into multiple areas, and determine multiple distributed energy stations in each area.

S1032. Based on the illumination data and temperature data, divide it into multiple illumination intervals and temperature intervals.

S1033. Based on multiple illumination intervals and temperature intervals, divide multiple distributed energy stations in each area to obtain multiple combinations.

S104. Based on the power generation data of multiple distributed energy stations in each combination, determine the measurement error and determine the distributed energy station with inaccurate measurement.

As a possible implementation manner, step S104 can be specifically implemented as steps A1-A4.

A1. Based on the real-time power generation and photovoltaic area of each distributed energy station, calculate the power generation per unit area of each distributed energy station.

A2. Calculate the average power generation per unit area of multiple distributed energy stations in each combination.

A3. Calculate the difference between the power generation per unit area of each distributed energy station in each combination and the average value.

A4. Determine distributed energy stations whose difference is greater than the set threshold as distributed energy stations with inaccurate measurement.

The present invention provides a method for monitoring distributed energy electric energy metering data. By setting up an IP module in each distributed energy station, the IP module monitors the power generation data, lighting data and temperature data of each distributed energy station, and monitors the power generation data, lighting data and temperature data of each distributed energy station based on the location. Information, lighting data and temperature data are used to divide distributed energy stations, compare the power generation data of multiple distributed energy stations horizontally and vertically, make error determinations, identify distributed energy stations with inaccurate measurement, and realize the measurement of distributed energy stations. Inaccuracy detection improves the accuracy of distributed energy measurement.

Optionally, the method for monitoring distributed energy energy metering data provided by the embodiment of the present invention also includes steps S201-S205.

S201. Based on the historical illumination data and historical temperature data of each distributed energy station, divide it into multiple illumination intervals and temperature intervals.

For example, for historical temperature data, embodiments of the present invention can determine the maximum value and minimum value of illumination, and divide the maximum value and the minimum value into multiple illumination intervals according to the preset illumination interval.

For example, for historical temperature data, embodiments of the present invention can determine the maximum value and minimum value of the temperature, and divide the maximum value and the minimum value into multiple temperature intervals according to the preset temperature interval.

S202. Based on multiple illumination intervals and temperature intervals, divide the historical periods of each distributed energy station to obtain multiple period combinations.

In some embodiments, each period combination includes multiple power generation periods with similar lighting data and temperature data in the historical period of each distributed energy station.

For example, in embodiments of the present invention, different illumination intervals and different temperature intervals can be combined to form multiple power generation working conditions. For example, the power generation working conditions can be light 60000-65000lx and temperature 15-20℃. The power generation working condition can also be 60000-65000lx and the temperature is 20-25℃. The power generation working condition can also be 70000-75000lx and the temperature is 20-25℃.

It should be noted that the power generation of distributed energy stations is different under different power generation conditions. Embodiments of the present invention can divide the power generation conditions within a historical period to obtain multiple time period combinations.

S203. Compare the historical power generation data of multiple power generation periods in each time period combination of each distributed energy station, and determine the power generation period in which the measurement of each distributed energy station is inaccurate.

For example, for each distributed energy station, the embodiment of the present invention can calculate the average value of the generated power of multiple power generation periods in each period combination, and then calculate the difference between the generated power of the power generation period and the average value. If a certain If the difference in the power generation period is greater than the set difference, the power generation period is determined to be a power generation period with inaccurate measurement.

S204. Determine the probability of inaccurate measurement of each distributed energy station based on the power generation period in which the measurement of each distributed energy station is inaccurate and the number of power generation periods in multiple time period combinations.

Illustratively, the embodiment of the present invention can determine the ratio between the number of power generation periods in which each distributed energy station's metering is inaccurate and the number of power generation periods in multiple time period combinations as the metering inaccuracy of each distributed energy station. The probability.

S205. Determine the distributed energy station with a probability greater than the set probability as a distributed energy station with inaccurate measurement.

It should be noted that if the probability of metering inaccuracy is greater than the set probability, it means that the probability of problems in the metering circuit of the distributed energy station is greater. Embodiments of the present invention can determine the metering inaccuracy of the distributed energy station.

In this way, embodiments of the present invention can realize a longitudinal comparison of the power generation of each distributed energy station, compare the power generation of each power generation period in a historical period, and determine the probability of inaccurate measurement of the distributed energy station, from the longitudinal time Measurement inaccuracy detection of distributed energy stations is carried out from a certain angle to improve the measurement accuracy of distributed energy stations.

Optionally, the method for monitoring distributed energy energy metering data provided by the embodiment of the present invention further includes steps S301-S303 after step S105.

S301. Monitor the number of measurement inaccuracies of distributed energy stations.

In some embodiments, embodiments of the present invention can monitor each sending period of a distributed energy station with metering inaccuracy. When a metering inaccuracy occurs, the number of metering inaccuracies is increased by one.

S302. For any distributed energy station with inaccurate measurement, if the number of inaccurate measurements of the distributed energy station within the set time period is greater than the set number, then the distributed energy station is determined to be an energy station to be inspected.

It should be noted that if the number of metering inaccuracies of the distributed energy station within the set time period is greater than the set number, it means that the metering inaccuracy of the distributed energy station is serious and needs to be repaired.

S303. Generate maintenance information based on the identification information, IP address, location information and measurement error of the energy station to be maintained.

In some embodiments, the maintenance information is used to instruct maintenance personnel to perform maintenance on the energy station to be maintained.

For example, the maintenance information includes the identification information, IP address, location information and measurement error of the energy station to be overhauled.

In this way, the embodiment of the present invention can analyze the misalignment situation of the distributed energy station by measuring the number of misalignments in the distributed energy station. When the number of misalignments within the set time period exceeds the set number, it means that the distributed energy station has misaligned data. The energy station has a high frequency of misalignment and requires maintenance, thereby generating maintenance information. Maintenance personnel will perform maintenance on the energy station to be maintained to ensure accurate measurement of distributed energy stations.

Optionally, the method for monitoring distributed energy energy metering data provided by the embodiment of the present invention further includes steps S401-S406 after step S105.

S401. Monitor the generated power of the distributed energy station with inaccurate metering, as well as the input current and input voltage of the grid-connected inverter.

S402. Determine the power generation per unit area based on the power generation and the power generation area of the distributed energy station with inaccurate measurement.

S403. For any distributed energy station with inaccurate measurement, if the error between the average area power generation of the energy station and the standard power generation per unit area is greater than the set error, calculate the energy station based on the input current and input voltage. The input power of the grid-connected inverter.

In some embodiments, the standard power generation per unit area is the power generation of photovoltaic panels per unit area when the distributed energy station is operating normally.

It should be noted that the error between the average area power generation and the standard power generation per unit area is greater than the setting error, indicating a large measurement error. Distributed energy stations may experience main circuit failures or metering circuit failures, or grid-connected inverters and photovoltaic panels may fail.

S404. Calculate the conversion efficiency of the grid-connected inverter based on the generated power and input power.

For example, in this embodiment of the present invention, the ratio of generated power to input power can be determined as the conversion efficiency of the grid-connected inverter.

S405. If the conversion efficiency of the grid-connected inverter is less than the set efficiency, it is determined that the grid-connected inverter of the energy station needs to be inspected.

S406. If the conversion efficiency of the grid-connected inverter is greater than or equal to the set efficiency, it is determined that the photovoltaic panels of the energy station need to be inspected.

In this way, embodiments of the present invention can calculate the conversion efficiency of the grid-connected inverter by detecting the input voltage and input current of the grid-connected inverter in the distributed energy station, thereby further determining possible faults in the distributed energy station. links, such as grid-connected inverters and photovoltaic panels, to detect the causes of misalignment in distributed energy stations.

Optionally, the method for monitoring distributed energy electric energy metering data provided by the embodiment of the present invention further includes steps S501-S506 after step S105.

S501. Obtain the grid-connected power of distributed energy sources in the target area, as well as the power generation and metering inaccuracy of multiple distributed energy stations in the target area.

In some embodiments, metering misalignment conditions include metering misalignment errors at distributed energy stations.

S502. Calculate the sum of power generation of multiple distributed energy stations in the target area.

S503. If the sum of the generated power of multiple distributed energy stations in the target area is less than or equal to the grid-connected power, put the multiple distributed energy stations in the target area into the grid.

S504. If the sum of the generated power of multiple distributed energy stations in the target area is greater than the grid-connected power, calculate the power difference between the sum of the generated power of the multiple distributed energy stations in the target area and the grid-connected power.

S505: Perform power matching based on the power difference and the generated power of multiple distributed energy stations in the target area to obtain multiple matching combinations.

In some embodiments, each matching combination includes multiple distributed energy stations whose errors between the sum of generated power and the power difference are less than the set error.

S506. Based on the measurement inaccuracy of multiple distributed energy stations in each matching combination, calculate the comprehensive inaccuracy error of each matching combination.

For example, the embodiment of the present invention can add the metering misalignment errors of multiple distributed energy stations in each matching combination to obtain the comprehensive misalignment error of each matching combination.

S507. Cut off multiple distributed energy stations in the target matching combination with the largest comprehensive misalignment error.

As a possible implementation manner, the embodiment of the present invention can determine the IP addresses of multiple distributed energy stations in the target matching combination; based on the IP addresses of the multiple distributed energy stations, send the IP addresses to the multiple distributed energy stations in the target matching combination. The energy station sends cut-off information, and the cut-off information is used to instruct the distributed energy station to disconnect from the power grid.

In this way, embodiments of the present invention can perform refined control based on the measurement inaccuracy of distributed energy stations, remove multiple distributed energy stations with the largest comprehensive inaccuracy errors, and improve the measurement accuracy of distributed energy in the target area. .

It should be understood that the sequence number of each step in the above embodiment does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

The following are device embodiments of the present invention. For details that are not described in detail, reference may be made to the above corresponding method embodiments.

Figure 2 shows a schematic structural diagram of a monitoring device for distributed energy energy metering data provided by an embodiment of the present invention. Applied to multiple distributed energy stations, each distributed energy station is equipped with an IP module. The monitoring device 600 includes a communication module 601 and a processing module 602.

The communication module 601 is used to obtain the power generation data and IP addresses of multiple distributed energy stations, as well as the lighting data and temperature data of the area where each distributed energy station is located.

The processing module 602 is used to determine the location information of each distributed energy station based on the IP address of each distributed energy station; based on the location information, lighting data and temperature data of multiple distributed energy stations, determine the location information of multiple distributed energy stations. The area where the energy station is located is divided to obtain multiple combinations; each combination includes multiple distributed energy stations with similar location information, lighting data and temperature data; based on the power generation data of multiple distributed energy stations in each combination, Measurement error determination, determine the distributed energy station with inaccurate measurement.

In a possible implementation, the processing module 602 is specifically configured to query the preset mapping relationship based on the IP address of each distributed energy station and determine the location information of each distributed energy station.

In a possible implementation, the processing module 602 is specifically used to divide multiple distributed energy stations into multiple areas based on the location information of multiple distributed energy stations, and determine multiple distributed energy stations in each area; based on the lighting data and temperature data, divided into multiple illumination intervals and temperature intervals; based on the multiple illumination intervals and temperature intervals, multiple distributed energy stations in each area are divided to obtain multiple combinations.

In a possible implementation, the power generation data includes the real-time power generation and photovoltaic area of each distributed energy station; the processing module 602 is specifically configured to calculate the real-time power generation and photovoltaic area of each distributed energy station based on the real-time power generation and photovoltaic area of each distributed energy station. The power generation per unit area of a distributed energy station; calculate the average power generation per unit area of multiple distributed energy stations in each combination; calculate the power generation per unit area and the average value of each distributed energy station in each combination The difference; the distributed energy station whose difference is greater than the set threshold is determined as a distributed energy station with inaccurate measurement.

In a possible implementation, the power generation data also includes historical power generation data of each distributed energy station; the lighting data includes historical lighting data, and the temperature data includes historical temperature data; the processing module 602 is also used to generate data based on each distributed energy station. The historical illumination data and historical temperature data of the energy station are divided into multiple illumination intervals and temperature intervals. Based on the multiple illumination intervals and temperature intervals, the historical periods of each distributed energy station are divided to obtain multiple period combinations. Each time period combination includes multiple power generation periods with similar lighting data and temperature data in the historical period of each distributed energy station; compare the historical power generation data of multiple power generation periods in each time period combination of each distributed energy station to determine The power generation period for which each distributed energy station has inaccurate metering; based on the inaccurate power generation period for each distributed energy station and the number of power generation periods in multiple time period combinations, determine the probability of inaccurate metering for each distributed energy station. ; Determine distributed energy stations with a probability greater than the set probability as distributed energy stations with inaccurate measurement.

In a possible implementation, the communication module 601 is also used to monitor the number of metering inaccuracies of distributed energy stations; the processing module 602 is also used to monitor any metering inaccurate distributed energy station, if If the number of measurement inaccuracies of the distributed energy station within the set time period is greater than the set number, the distributed energy station is determined to be the energy station to be overhauled; based on the identification information, IP address, location information and measurement error of the energy station to be overhauled, a generated Maintenance information; maintenance information is used to instruct maintenance personnel to perform maintenance on the energy station to be maintained.

In a possible implementation, the communication module 601 is also used to monitor the generated power of the distributed energy station with inaccurate metering, as well as the input current and input voltage of the grid-connected inverter; the processing module 602 is also used to monitor based on The power generation, as well as the power generation area of the distributed energy station with inaccurate measurement, determine the power generation per unit area; for any distributed energy station with inaccurate measurement, if the average area power generation of the energy station is equal to the standard power generation per unit area, If the error between If the conversion efficiency of the inverter is less than the set efficiency, it is determined that the grid-connected inverter of the energy station needs to be inspected; if the conversion efficiency of the grid-connected inverter is greater than or equal to the set efficiency, it is determined that the photovoltaic panels of the energy station need to be inspected. .

In a possible implementation, the communication module 601 is also used to obtain the grid-connected power of distributed energy sources in the target area, as well as the power generation and metering inaccuracy of multiple distributed energy stations in the target area; the processing module 602, It is also used to calculate the sum of the generated power of multiple distributed energy stations in the target area; if the sum of the generated power of multiple distributed energy stations in the target area is less than or equal to the grid power, then the sum of the generated power of multiple distributed energy stations in the target area will be calculated. The station is put into the power grid; if the sum of the generated power of multiple distributed energy stations in the target area is greater than the grid-connected power, the power difference between the sum of the generated power of multiple distributed energy stations in the target area and the grid-connected power is calculated; based on the power difference value, as well as the generated power of multiple distributed energy stations in the target area, perform power matching to obtain multiple matching combinations; each matching combination includes multiple distributions where the error between the sum of generated power and the power difference is less than the set error type energy station; based on the measurement inaccuracy of multiple distributed energy stations in each matching combination, calculate the comprehensive misalignment error of each matching combination; remove multiple distributed energy sources in the target matching combination with the largest comprehensive misalignment error stand.

In a possible implementation, the processing module 602 is specifically used to determine the IP addresses of multiple distributed energy stations in the target matching combination; based on the IP addresses of the multiple distributed energy stations, Each distributed energy station sends cut-off information, and the cut-off information is used to instruct the distributed energy station to disconnect from the power grid.

The above-described embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still implement the above-mentioned implementations. The technical solutions described in the examples are modified, or some of the technical features are equivalently replaced; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present invention, and should be included in within the protection scope of the present invention.

Claims (10)

1. A method for monitoring distributed energy electricity metering data, applied to a plurality of distributed energy stations, each distributed energy station being provided with an IP module, the method comprising:

acquiring power generation data and IP addresses of the distributed energy stations, and illumination data and temperature data of an area where each distributed energy station is located;

Determining position information of each distributed energy station based on the IP address of each distributed energy station;

dividing the areas where the distributed energy stations are located based on the position information, the illumination data and the temperature data of the distributed energy stations to obtain a plurality of combinations; each combination includes a plurality of distributed energy stations having similar location information, illumination data, and temperature data;

and based on the power generation data of the plurality of distributed energy stations in each combination, carrying out metering error judgment, and determining the distributed energy stations with metering misalignment.

2. The method for monitoring distributed energy power metering data according to claim 1, wherein the determining the location information of each distributed energy station based on the IP address of each distributed energy station comprises:

and inquiring a preset mapping relation based on the IP address of each distributed energy station, and determining the position information of each distributed energy station.

3. The method for monitoring distributed energy electricity metering data according to claim 1, wherein dividing the area where the plurality of distributed energy stations are located based on the position information, the illumination data and the temperature data of the plurality of distributed energy stations to obtain a plurality of combinations includes:

Dividing the plurality of distributed energy stations into a plurality of areas based on the position information of the plurality of distributed energy stations, and determining the plurality of distributed energy stations in each area;

dividing the illumination data and the temperature data into a plurality of illumination intervals and temperature intervals;

and dividing a plurality of distributed energy stations in each region based on the plurality of illumination intervals and the temperature intervals to obtain the plurality of combinations.

4. The method of claim 1, wherein the power generation data comprises real-time power generation and photovoltaic area for each of the distributed energy stations;

the method for determining the metering misalignment distributed energy stations based on the power generation data of the plurality of distributed energy stations in each combination comprises the following steps:

calculating the power generation power of each distributed energy station in unit area based on the real-time power generation power and the photovoltaic area of each distributed energy station;

calculating the average value of the power generated in unit area of a plurality of distributed energy stations in each combination;

calculating the difference value between the unit area power generation power of each distributed energy station in each combination and the average value;

And determining the distributed energy stations with the difference value larger than the set threshold value as the distributed energy stations with the metering misalignment.

5. The method of monitoring distributed energy power metering data of claim 1, wherein the power generation data further comprises historical power generation data for each distributed energy station; the illumination data comprises historical illumination data, and the temperature data comprises historical temperature data;

the monitoring method further comprises the following steps:

dividing the power plant into a plurality of illumination intervals and temperature intervals based on historical illumination data and historical temperature data of each distributed energy station;

dividing the historical period of each distributed energy station based on the plurality of illumination intervals and the temperature intervals to obtain a plurality of period combinations, wherein each period combination comprises a plurality of power generation periods with similar illumination data and temperature data in the historical period of each distributed energy station;

comparing historical power generation data of a plurality of power generation periods in each period combination of each distributed energy station, and determining power generation periods in which each distributed energy station is in metering misalignment;

determining a probability of each distributed energy station metering misalignment based on the power generation time period of each distributed energy station metering misalignment and the number of power generation time periods in the plurality of time period combinations;

And determining the distributed energy stations with the probability larger than the set probability as the distributed energy stations with the metering misalignment.

6. The method for monitoring distributed energy power metering data according to any one of claims 1 to 5, wherein the determining of metering error based on the power generation data of a plurality of distributed energy stations in each combination further comprises, after determining the metering out-of-alignment distributed energy station:

monitoring the metering misalignment times of the metering misalignment distributed energy stations;

for any distributed energy station with measurement misalignment, if the measurement misalignment times of the distributed energy station in a set time length are greater than the set times, determining that the distributed energy station is an energy station to be overhauled;

generating overhaul information based on the identification information, the IP address, the position information and the metering error of the energy station to be overhauled; the overhaul information is used for indicating overhaul staff to overhaul the energy station to be overhauled.

7. The method for monitoring distributed energy power metering data according to claim 1, wherein the determining of the metering error based on the power generation data of the plurality of distributed energy stations in each combination further comprises, after determining the metering misaligned distributed energy station:

Monitoring the generated power of the distributed energy station with the metering misalignment, and the input current and the input voltage of a grid-connected inverter;

determining a unit area generating power based on the generating power and the generating area of the distributed energy station with the metering misalignment;

for any one of the distributed energy stations with the misalignment in measurement, if the error between the average area generated power of the energy station and the unit area standard generated power is larger than the set error, calculating the input power of the grid-connected inverter of the energy station based on the input current and the input voltage;

calculating conversion efficiency of the grid-connected inverter based on the generated power and the input power;

if the conversion efficiency of the grid-connected inverter is smaller than the set efficiency, determining that the grid-connected inverter of the energy station is to be overhauled;

and if the conversion efficiency of the grid-connected inverter is greater than or equal to the set efficiency, determining that the photovoltaic panel of the energy station is to be overhauled.

8. The method for monitoring distributed energy power metering data according to claim 1, wherein the determining of the metering error based on the power generation data of the plurality of distributed energy stations in each combination further comprises, after determining the metering misaligned distributed energy station:

Acquiring network access power of distributed energy sources in a target area, and generating power and metering misalignment conditions of a plurality of distributed energy source stations in the target area;

calculating the sum of the generated power of a plurality of distributed energy stations in the target area;

if the sum of the generated power of the distributed energy stations in the target area is smaller than or equal to the network access power, putting the distributed energy stations in the target area into a power grid;

if the sum of the power generation powers of the distributed energy stations in the target area is larger than the network access power, calculating a power difference value between the sum of the power generation powers of the distributed energy stations in the target area and the network access power;

performing power matching based on the power difference and the generated power of a plurality of distributed energy stations in the target area to obtain a plurality of matching combinations; each matching combination comprises a plurality of distributed energy stations with the error of the sum of the generated power and the power difference less than the set error;

calculating a comprehensive misalignment error of each matching combination based on the metering misalignment of the plurality of distributed energy stations in each matching combination;

and cutting off a plurality of distributed energy stations in the target matching combination with the largest comprehensive misalignment error.

9. The method of claim 1, wherein the cutting out the plurality of distributed energy stations in the target matching combination with the greatest integrated misalignment error comprises:

determining IP addresses of a plurality of distributed energy stations in the target matching combination;

and transmitting cutting information to the plurality of distributed energy stations in the target matching combination based on the IP addresses of the plurality of distributed energy stations, wherein the cutting information is used for indicating the distributed energy stations to disconnect from a power grid.

10. A monitoring device for distributed energy electricity metering data, characterized in that it is applied to a plurality of distributed energy stations, each of which is provided with an IP module, the monitoring device comprising:

the communication module is used for acquiring the power generation data and the IP addresses of the distributed energy stations, and the illumination data and the temperature data of the area where each distributed energy station is located;

the processing module is used for determining the position information of each distributed energy station based on the IP address of each distributed energy station; dividing the areas where the distributed energy stations are located based on the position information, the illumination data and the temperature data of the distributed energy stations to obtain a plurality of combinations; each combination includes a plurality of distributed energy stations having similar location information, illumination data, and temperature data; and based on the power generation data of the plurality of distributed energy stations in each combination, carrying out metering error judgment, and determining the distributed energy stations with metering misalignment.