A method and system for collecting and processing electric energy data

Abstract

The present invention discloses a method and system for collecting and processing electric energy data, which belongs to the technical field of electric energy data collection and processing. The method comprises: obtaining an electric power information map of a target area, and setting each closed-loop area according to the electric power information map; collecting electric energy data for each closed-loop area, and obtaining electric energy data corresponding to each closed-loop area; establishing a monitoring model, and inputting each electric energy data into the monitoring model for real-time display; performing real-time verification of the electric energy data according to a preset benchmark verification standard, and obtaining a corresponding benchmark verification result, and performing corresponding early warning processing according to the benchmark verification result; performing real-time abnormal evaluation of each closed-loop area according to the monitoring model, and obtaining a corresponding abnormal evaluation result; when the abnormal evaluation result is that the monitoring is normal, no corresponding operation is performed; when the abnormal evaluation result is that the monitoring is abnormal, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormal category.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric energy data collection and processing, and specifically relates to an electric energy data collection and processing method and system. Background Art

[0002] With the rapid development of the power industry and the advancement of smart grid construction, the electric energy data acquisition and processing system has become a key component for realizing the automation, informatization and intelligence of the power grid. At present, the electric energy data acquisition and processing system mainly uses sensor technology, signal processing technology and data processing technology to realize the remote automatic collection, processing and analysis of electric energy in the power grid.

[0003] However, traditional electric energy data collection systems can only collect data of specific professions and cannot achieve comprehensive and accurate data collection in the power grid. Moreover, with the expansion of the power grid scale and the increase in data volume, the existing system has faced challenges in data processing capabilities and cannot meet the needs of efficient processing and analysis of large amounts of data.

[0004] Based on this, the present invention provides an electric energy data collection and processing method and system. Summary of the invention

[0005] In order to solve the problems existing in the above scheme, the present invention provides an electric energy data collection and processing method and system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An electric energy data acquisition and processing system comprises a regional analysis module, an acquisition module and a data analysis module; The regional analysis module is used to analyze the target area, obtain the power information map of the target area, define the closed-loop area, identify the power information map according to the closed-loop area definition, determine each closed-loop area, and mark each closed-loop area in the power information map accordingly; An application evaluation is performed on each closed-loop area to obtain a corresponding regional evaluation value; based on the regional evaluation value, it is determined whether the closed-loop area needs to be split, and the closed-loop area that needs to be split is marked as an optimized area; the optimized area is split and adjusted to obtain several new closed-loop areas.

[0007] Furthermore, the method for identifying the power information graph according to the closed-loop area definition includes: Mark each unit area in the power information graph, identify the transmission lines connecting each unit area in the power information graph, generate each line combination according to each transmission line, and determine each to-be-defined judgment area according to each line combination; obtain the collection features corresponding to each to-be-defined judgment area; A definition recognition model is established, and the acquisition features of each to-be-defined judgment area are analyzed through the definition recognition model to obtain the definition judgment value corresponding to each to-be-defined judgment area; and the closed-loop area is determined according to the definition judgment value.

[0008] Furthermore, the expression for defining the recognition model is: ; In the formula: d is the input data, the input data is the collection features of the judgment area to be defined; the output data is the definition judgment value 1 or 0.

[0009] Furthermore, the method for performing application evaluation on each closed-loop area includes: Identify the line length of each transmission line in the closed-loop area and obtain the standard loss rate of each transmission line; identify the usage time of each transmission line and set the corresponding correction coefficient according to the usage time of each transmission line; The transmission line is marked as i, i=1, 2, ..., n, and n is a positive integer; the loss rate, correction coefficient and line length of the transmission line are marked as hi, μi and Li respectively; According to the formula Calculate the line value of each closed-loop area; where: SK is the line value; Obtain the historical power consumption data corresponding to the closed-loop area, perform statistical analysis on the historical power consumption data, obtain the power consumption representative value corresponding to each time, generate the corresponding power consumption representative curve according to each power consumption representative value and power consumption time, the horizontal axis of the power consumption representative curve is the power consumption time, and the vertical axis is the power consumption representative value; fit the power consumption representative curve to obtain the corresponding power consumption curve function, mark the power consumption curve function as YH(t), where t is the power consumption time; Set the standard period and mark the time period corresponding to the standard period as [t1, t2]; According to the formula Calculate the corresponding regional evaluation value: Where: UY is the regional evaluation value; X1 and X2 are both thresholds.

[0010] Furthermore, the method for splitting and adjusting the optimization area includes: Identify the closed-loop area included in the optimization area, and mark the non-closed-loop area in the optimization area as a segmentation area; determine the segmentation method of the segmentation area according to the definition of the closed-loop area; Each segmentation method is evaluated to determine the target segmentation method; corresponding power collection equipment is set in the segmented area according to the target segmentation method to obtain several new closed-loop areas.

[0011] Furthermore, the method for evaluating each segmentation method includes: Perform simulated segmentation according to each segmentation method to obtain each closed-loop area corresponding to each segmentation method, perform application evaluation on each closed-loop area to obtain a regional evaluation value corresponding to each closed-loop area, and eliminate each segmentation method with a regional evaluation value equal to 1; Estimate the optimization cost corresponding to each segmentation method; mark the segmentation method with the lowest optimization cost as the target segmentation method.

[0012] The acquisition module is used to collect electric energy data from each closed-loop area to obtain electric energy data corresponding to each closed-loop area.

[0013] The data analysis module is used to analyze the collected electric energy data, obtain the electric energy information graph, establish a corresponding monitoring model according to the electric energy information graph, and input the electric energy data corresponding to each closed-loop area into the monitoring model for real-time display; Preset various benchmark verification standards, perform real-time verification of electric energy data according to the preset benchmark verification standards, obtain corresponding benchmark verification results, and display the obtained benchmark verification results in the monitoring model accordingly; perform corresponding early warning processing according to the benchmark verification results; Perform real-time anomaly assessment on each closed-loop area according to the monitoring model to obtain corresponding anomaly assessment results; mark the anomaly assessment results accordingly in the monitoring model; When the abnormal assessment result is that the monitoring is normal, no corresponding operation is performed; When the abnormality assessment result is a monitoring abnormality, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormality category, which includes line abnormality and behavioral abnormality; the obtained abnormality category is marked accordingly in the monitoring model.

[0014] Furthermore, the method for performing real-time abnormality assessment on each closed-loop area according to the monitoring model includes: Obtain input power and output power corresponding to each closed-loop area; mark the obtained input power and output power as SR and SC respectively; Calculate the corresponding monitoring value according to the formula PS=(SR-SC)-SR×SK; where: PS is the monitoring value; SK is the line value; An abnormality recognition model is established. The expression of the abnormality recognition model is: ; Where: PS is the monitoring value; X3 is the threshold; The monitoring values ​​of each closed-loop area are analyzed according to the anomaly recognition model to obtain corresponding anomaly assessment results, which include normal monitoring and abnormal monitoring.

[0015] A method for collecting and processing electric energy data, the method comprising: Obtain a power information map of the target area, and set each closed-loop area according to the power information map; collect power data for each closed-loop area to obtain power data corresponding to each closed-loop area; Establish a monitoring model and input various electric energy data into the monitoring model for real-time display; Perform real-time verification of electric energy data according to preset benchmark verification standards, obtain corresponding benchmark verification results, and perform corresponding early warning processing according to the benchmark verification results; Perform real-time anomaly assessment on each closed-loop area according to the monitoring model to obtain corresponding anomaly assessment results; When the abnormal assessment result is that the monitoring is normal, no corresponding operation is performed; When the abnormal evaluation result is a monitoring abnormality, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormal category.

[0016] Compared with the prior art, the present invention has the following beneficial effects: Through the mutual cooperation between the regional analysis module, the acquisition module and the data analysis module, the intelligent collection and analysis of electric energy data is realized, and each closed-loop area is dynamically determined according to the actual situation, and then data analysis is performed based on the closed-loop area; it helps to reduce the network loss and energy consumption of the power grid, and has a positive effect on achieving the goal of energy conservation and emission reduction. When there is abnormal line loss, it can provide timely warning and determine the corresponding abnormal category, which is convenient for staff to carry out corresponding abnormal processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, an electric energy data acquisition and processing system includes a regional analysis module, an acquisition module, and a data analysis module; The regional analysis module is used to analyze the target area and perform collection optimization and adjustment; the target area is the power grid area where electric energy data collection and analysis is required; obtain the power information map of the target area, the power information map is used to represent the information of each power equipment, collection equipment, etc. in the target area; define a closed-loop area, a closed-loop area is an area that can clearly define the power input and power output in the area, and a single line can also form a closed-loop area. For example, if corresponding detection equipment is provided at the line, the power input to the line can be detected, and the corresponding power output is obtained through the power meter at each power user corresponding to the line to form a closed-loop area; if the line has a branch line, when the output of the branch line cannot be collected, only the line and the branch line cannot be included as a closed-loop area. When the output of the branch line can be collected, the line and the branch line as a whole are included as a closed-loop area.

[0021] The power information graph is identified according to the closed-loop area definition, each closed-loop area is determined, and each closed-loop area is marked accordingly in the power information graph; the currently obtained closed-loop area will have an inclusion relationship. For example, the overall network also conforms to the closed-loop area, so it is a closed-loop area and will include multiple other closed-loop areas.

[0022] Perform application evaluation on each closed-loop area to obtain the corresponding regional evaluation value; determine whether the closed-loop area needs to be split according to the regional evaluation value, that is, the area is too large; when the regional evaluation value is equal to 1, it needs to be split, otherwise, it does not need to be split; The closed-loop region that needs to be split is marked as an optimized region; the optimized region is split and adjusted to obtain a number of new closed-loop regions.

[0023] For the identification of closed-loop areas, the following methods can be used: Mark each unit area in the power information diagram. The unit area is set according to the community, office building, hospital, school, factory, etc. For example, one community corresponds to one unit area, and one hospital corresponds to one unit area; Identify the transmission lines connecting each unit area in the power information graph, determine the various line combinations in the power information graph using the existing data combination method, and mark the area corresponding to a line combination as a to-be-defined judgment area; obtain the collection features corresponding to each to-be-defined judgment area, and the collection features are whether the power output and power input can complete the collection; Establish a definition recognition model, and use the definition recognition model to determine whether the area to be defined is a closed-loop area. The expression of the definition recognition model is: ; Where: d is the input data, i.e. the collected features of the judgment area to be defined; the output data is the definition judgment value 1 or 0; The acquisition features of each to-be-defined judgment area are analyzed by defining an identification model to obtain a definition judgment value corresponding to each to-be-defined judgment area; and a closed-loop area is determined according to the definition judgment value.

[0024] Methods for application evaluation of each closed-loop area include: Identify the line length of each transmission line in the closed-loop area, and obtain the standard loss rate of each transmission line. The standard loss rate is the electric energy loss rate per unit length determined by the nature of the transmission line. Obtain the usage time of each transmission line, and set the corresponding correction coefficient according to the obtained usage time. The correction coefficient is used to correct the standard loss rate. The correction coefficient corresponding to different usage times is calculated according to the actual application loss of the transmission line. The transmission line is marked as i, i=1, 2, ..., n, and n is a positive integer; the standard loss rate, correction coefficient and line length of the transmission line are marked as hi, μi and Li respectively; According to the formula Calculate the line value of each closed-loop area; where: SK is the line value; Obtain the historical electricity consumption data corresponding to the closed-loop area, perform statistical analysis on the historical electricity consumption data, and obtain the representative electricity consumption value corresponding to each time, that is, determine a value that can represent the electricity consumption at that time based on a large number of historical electricity consumption data corresponding to the time, and the average value, mode, median, etc. can be used as the representative electricity consumption value at that time; generate a corresponding representative electricity consumption curve based on each representative electricity consumption value and the electricity consumption time, the horizontal axis of the representative electricity consumption curve is the electricity consumption time, and the vertical axis is the representative electricity consumption value; fit the representative electricity consumption curve to obtain the corresponding electricity consumption curve function, and mark the electricity consumption curve function as YH(t), where t is the electricity consumption time; Set a standard period, generally one hour, with a maximum of 24 hours; mark the time period corresponding to the standard period as [t1, t2], and t1 will move from time 0, thereby realizing the evaluation of the entire power consumption representative curve; According to the formula Calculate the corresponding regional evaluation value: Where: UY is the regional assessment value; X1 and X2 are thresholds, which are mainly set according to the power theft situation and normal error.

[0025] Methods for splitting and adjusting the optimization area include: Identify the closed-loop area included in the optimization area, and mark the non-closed-loop area in the optimization area as a segmentation area. If no closed-loop area is included, all the optimization areas are segmentation areas. Determine the segmentation method of the segmentation area according to the definition of the closed-loop area, that is, according to the requirements of input and output, because the output can be collected according to the equipment such as the electric energy meter, that is, the default output can be collected. According to the definition of the closed-loop area, the corresponding input detection equipment is supplemented to meet the definition of the closed-loop area, which is equivalent to analyzing at which positions the input detection equipment can be set to meet the division of the segmentation area into each closed-loop area, and the corresponding method is the segmentation method. Based on this, analyze the segmentation area to determine the segmentation method; evaluate each segmentation method to determine the target segmentation method; set the corresponding electric energy collection equipment in the segmentation area according to the target segmentation method. The electric energy collection equipment is used to collect the corresponding electric energy data, which is an existing device.

[0026] Methods for evaluating each segmentation method include: Perform simulated segmentation according to each segmentation method to obtain each closed-loop area corresponding to each segmentation method, perform application evaluation on each closed-loop area to obtain a regional evaluation value corresponding to each closed-loop area, and eliminate each segmentation method with a regional evaluation value equal to 1; Estimate the optimization cost corresponding to each segmentation method, that is, the sum of construction cost, equipment cost, etc.; select the segmentation method with the lowest optimization cost as the target segmentation method.

[0027] The acquisition module is used to collect electric energy data from each closed-loop area to obtain electric energy data corresponding to each closed-loop area.

[0028] The data analysis module is used to analyze the collected electric energy data, obtain the electric energy information graph, and establish a corresponding monitoring model based on the electric energy information graph. The monitoring model is established based on the existing display model technology and is used to display the electric energy data of each closed-loop area. The specific setting is based on the display requirements; the electric energy data corresponding to each closed-loop area is input into the monitoring model for real-time display; Preset various benchmark verification standards, such as current, voltage, temperature and other verification standards. Exceeding the verification standards means exceeding the limit conditions. Set according to the existing benchmark monitoring needs; perform real-time verification of electric energy data according to the preset benchmark verification standards, and perform corresponding early warning processing according to the benchmark verification results; that is, a warning is issued when the limit conditions are exceeded, and no corresponding operation is performed if the limit conditions are not exceeded; Perform real-time anomaly assessment on each closed-loop area according to the monitoring model to obtain corresponding anomaly assessment results; When the abnormal assessment result is that the monitoring is normal, no corresponding operation is performed; When the abnormal assessment result is a monitoring abnormality, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormality category, which includes line abnormality and behavioral abnormality. Line abnormality refers to abnormal conditions caused by line reasons such as line short circuit, and behavioral abnormality refers to abnormal conditions such as power theft. The difference in the electric energy data between line abnormality and behavioral abnormality can be judged in combination with the electric energy data; that is, the line loss is abnormal, and then it is determined whether it is a problem with the line itself based on the electric energy data.

[0029] Methods for real-time anomaly assessment of each closed-loop area based on the monitoring model include: Obtain input power and output power corresponding to each closed-loop area; mark the obtained input power and output power as SR and SC respectively; Calculate the corresponding monitoring value according to the formula PS=(SR-SC)-SR×SK; where: PS is the monitoring value; SK is the line value; An abnormality recognition model is established. The expression of the abnormality recognition model is: ; Where: PS is the monitoring value; X3 is the threshold value, which is set according to the line loss error; The monitoring values ​​of each closed-loop area are analyzed according to the anomaly recognition model to obtain corresponding anomaly assessment results, which include normal monitoring and abnormal monitoring.

[0030] A method for collecting and processing electric energy data, the method comprising: Obtain a power information map of the target area, and set each closed-loop area according to the power information map; collect power data for each closed-loop area to obtain power data corresponding to each closed-loop area; Establish a monitoring model and input various electric energy data into the monitoring model for real-time display; Perform real-time verification of electric energy data according to preset benchmark verification standards, obtain corresponding benchmark verification results, and perform corresponding early warning processing according to the benchmark verification results; Perform real-time anomaly assessment on each closed-loop area according to the monitoring model to obtain corresponding anomaly assessment results; When the abnormal assessment result is that the monitoring is normal, no corresponding operation is performed; When the abnormal evaluation result is a monitoring abnormality, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormal category.

[0031] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0032] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An electric energy data acquisition and processing system, characterized in that: It includes regional analysis module, acquisition module and data analysis module; The regional analysis module is used to analyze the target area, obtain the power information map of the target area, define the closed-loop area, identify the power information map according to the closed-loop area definition, determine each closed-loop area, and mark each closed-loop area in the power information map accordingly; Perform application evaluation on each closed-loop area to obtain the corresponding regional evaluation value; determine whether the closed-loop area needs to be split according to the regional evaluation value, and mark the closed-loop area that needs to be split as an optimized area; split and adjust the optimized area to obtain several new closed-loop areas; The acquisition module is used to collect electric energy data for each closed-loop area to obtain electric energy data corresponding to each closed-loop area; The data analysis module is used to analyze the collected electric energy data, obtain the electric energy information graph, establish a corresponding monitoring model according to the electric energy information graph, and input the electric energy data corresponding to each closed-loop area into the monitoring model for real-time display; Preset various benchmark verification standards, perform real-time verification of electric energy data according to the preset benchmark verification standards, obtain corresponding benchmark verification results, and display the obtained benchmark verification results accordingly in the monitoring model; Carry out corresponding early warning processing according to the benchmark verification results; Perform real-time anomaly assessment on each closed-loop area according to the monitoring model to obtain corresponding anomaly assessment results; mark the anomaly assessment results accordingly in the monitoring model; When the abnormal assessment result is that the monitoring is normal, no corresponding operation is performed; When the abnormality assessment result is a monitoring abnormality, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormality category, which includes line abnormality and behavioral abnormality; the obtained abnormality category is marked accordingly in the monitoring model.

2. The electric energy data acquisition and processing system according to claim 1, characterized in that: The method for identifying the power information graph according to the closed-loop area definition includes: Mark each unit area in the power information graph, identify the transmission lines connecting each unit area in the power information graph, generate each line combination according to each transmission line, and determine each to-be-defined judgment area according to each line combination; obtain the collection features corresponding to each to-be-defined judgment area; A definition recognition model is established, and the acquisition features of each to-be-defined judgment area are analyzed through the definition recognition model to obtain the definition judgment value corresponding to each to-be-defined judgment area; and the closed-loop area is determined according to the definition judgment value.

3. The electric energy data acquisition and processing system according to claim 2 is characterized in that: The expression defining the recognition model is: ； In the formula: d is the input data, the input data is the collection features of the judgment area to be defined; the output data is the definition judgment value 1 or 0.

4. The electric energy data acquisition and processing system according to claim 1, characterized in that: Methods for application evaluation of each closed-loop area include: Identify the line length of each transmission line in the closed-loop area and obtain the standard loss rate of each transmission line; identify the usage time of each transmission line and set the corresponding correction coefficient according to the usage time of each transmission line; The transmission line is marked as i, i=1, 2, ..., n, and n is a positive integer; the loss rate, correction coefficient and line length of the transmission line are marked as hi, μi and Li respectively; According to the formula Calculate the line value of each closed-loop area; where: SK is the line value; Obtain the historical power consumption data corresponding to the closed-loop area, perform statistical analysis on the historical power consumption data, obtain the power consumption representative value corresponding to each time, generate the corresponding power consumption representative curve according to each power consumption representative value and power consumption time, the horizontal axis of the power consumption representative curve is the power consumption time, and the vertical axis is the power consumption representative value; fit the power consumption representative curve to obtain the corresponding power consumption curve function, mark the power consumption curve function as YH(t), where t is the power consumption time; Set the standard period and mark the time period corresponding to the standard period as [t1, t2]; According to the formula Calculate the corresponding regional evaluation value: Where: UY is the regional evaluation value; X1 and X2 are both thresholds.

5. The electric energy data acquisition and processing system according to claim 4, characterized in that: Methods for splitting and adjusting the optimization area include: Identify the closed-loop area included in the optimization area, and mark the non-closed-loop area in the optimization area as a segmentation area; determine the segmentation method of the segmentation area according to the definition of the closed-loop area; Each segmentation method is evaluated to determine the target segmentation method; corresponding power collection equipment is set in the segmented area according to the target segmentation method to obtain several new closed-loop areas.

6. The electric energy data acquisition and processing system according to claim 5, characterized in that: Methods for evaluating each segmentation method include: Perform simulated segmentation according to each segmentation method to obtain each closed-loop area corresponding to each segmentation method, perform application evaluation on each closed-loop area to obtain a regional evaluation value corresponding to each closed-loop area, and eliminate each segmentation method with a regional evaluation value equal to 1; Estimate the optimization cost corresponding to each segmentation method; mark the segmentation method with the lowest optimization cost as the target segmentation method.

7. The electric energy data acquisition and processing system according to claim 1, characterized in that: Methods for real-time anomaly assessment of each closed-loop area based on the monitoring model include: Obtain input power and output power corresponding to each closed-loop area; mark the obtained input power and output power as SR and SC respectively; Calculate the corresponding monitoring value according to the formula PS=(SR-SC)-SR×SK; where: PS is the monitoring value; SK is the line value; An abnormality recognition model is established. The expression of the abnormality recognition model is: ； Where: PS is the monitoring value; X3 is the threshold; The monitoring values ​​of each closed-loop area are analyzed according to the anomaly recognition model to obtain corresponding anomaly assessment results, which include normal monitoring and abnormal monitoring.

8. A method for collecting and processing electric energy data, characterized in that: An electric energy data acquisition and processing system as claimed in any one of claims 1 to 8, the method comprising: Obtain a power information map of the target area, and set each closed-loop area according to the power information map; collect power data for each closed-loop area to obtain power data corresponding to each closed-loop area; Establish a monitoring model and input various electric energy data into the monitoring model for real-time display; Perform real-time verification of electric energy data according to preset benchmark verification standards, obtain corresponding benchmark verification results, and perform corresponding early warning processing according to the benchmark verification results; Perform real-time anomaly assessment on each closed-loop area according to the monitoring model to obtain corresponding anomaly assessment results; When the abnormal assessment result is that the monitoring is normal, no corresponding operation is performed; When the abnormal evaluation result is a monitoring abnormality, the electric energy data of the corresponding closed-loop area is analyzed to determine the abnormal category.

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