Practical index management and control system for power distribution automation

Abstract

The invention relates to a power distribution automation practical index management and control system, which comprises a headquarter side and a provincial company side, and is characterized in that the headquarter side comprises a power distribution automation index management and control module, and the power distribution automation index management and control module is used for index management and control and index display; the provincial company side comprises a power distribution automation master station, a power grid resource business middle station and a provincial collaborative computing node; the power distribution automation master station is used for receiving index calculation data uploaded from various places, gathering the index calculation data and forwarding the index calculation data to the power grid resource business middle station; the power grid resource business middle station is used for relaying and storing the gathered index calculation data and opening service for the provincial collaborative calculation node; and the provincial collaborative computing node is used for acquiring the index computing data and computing resources from the power grid resource service platform to complete index statistical work and result issuing work. According to the invention, the lean operation and maintenance and digital management and control capability of the power distribution network can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid business monitoring, and particularly to a practical index control system for distribution automation. Background Art

[0002] With the accelerating construction of smart power grids and the gradual increase of business application systems, the associations between various application systems will gradually become intricate. Due to differences in functions and interfaces, technical problems are brought to system integration and data sharing between various application systems. There is an urgent need to establish an information interaction platform for global data sharing. After years of accumulation in the construction of the distribution network, the power grid resource business middle platform has emerged. Currently, the integration of basic distribution network data has been basically achieved, meeting routine operation and maintenance services.

[0003] Currently, the control of practical indexes for distribution automation mainly relies on daily reports, lacking an organic combination with the current power grid resource business middle platform. Although daily reports can achieve flexible feedback, they rely on grass-roots work, have problems such as long statistical cycles, slow feedback speeds, and heavy work pressures, and the display of the overall operation index situation is insufficient, making it difficult to support the normal management work of the operation and maintenance professional department. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a practical index control system for distribution automation, which can improve the lean operation and digital control capabilities of the distribution network.

[0005] The technical solution adopted by the present invention to solve its technical problems is: providing a practical index control system for distribution automation, including a headquarters side and a provincial company side;

[0006] The headquarters side includes a distribution automation index control module, which is used for index control and index display. The index control is used to clarify index requirements, define data scopes, and issue an index evaluation system and evaluation criteria to the provincial company side according to the index requirements and data scopes; the index display is used to utilize the distribution network operation visualization module to expand the distribution automation practical index control module and realize centralized statistics and display of practical indexes;

[0007] The provincial company side includes a distribution automation master station, a power grid resource business middle platform, and a provincial collaborative computing node; the distribution automation master station includes a provincial distribution automation Zone IV and a city distribution automation Zone I. The provincial distribution automation Zone IV is used to receive the index calculation data uploaded by each city distribution automation Zone I, converge the index calculation data uploaded by each city distribution automation Zone I with its own index calculation data, and then forward it to the power grid resource business middle platform; the power grid resource business middle platform is used to relay and store the converged index calculation data and open services for the provincial collaborative computing node; the provincial collaborative computing node is used to obtain index calculation data and computing resources from the power grid resource business middle platform to complete index statistics work and result publishing work.

[0008] The index evaluation system includes three dimensions, namely: construction, operation, and application; the construction dimension includes three indexes, namely the coverage rate of the new generation master station Zone I, the coverage rate of the trusted master station, and the coverage rate of feeder automation; the operation dimension includes two indexes, namely the terminal online rate and the feeder automation investment rate; the application dimension includes four indexes, namely the remote control success rate, the remote control usage rate, the feeder automation correct rate, and the feeder automation reliability contribution index.

[0009] The index calculation data includes measurement data, event data, and model data.

[0010] The power grid resource business middle platform includes:

[0011] A marking storage module, which is used to mark the received converged index calculation data according to the administrative unit information and store the marked index calculation data;

[0012] A microservice interface module, which is used to provide interface addresses, data formats, request methods, input parameter descriptions, and output parameter descriptions for the stored index calculation data;

[0013] A resource call interface module, which is used to open computing resources for the provincial collaborative computing node to meet the database and computing power resources required for index statistics.

[0014] Microservices are deployed on the provincial collaborative computing node. The microservices include a statistics service, a query service, and a penetration service. The statistics service is used to implement the statistics work of local indexes; the query service is used to implement the function for users to view data at all levels and at all times; the penetration service is used to provide users with the function of penetrating and understanding the details of the queried data.

[0015] The centralized index statistics and display mainly refer to the front-end application. The front-end application is used to provide the visualization services required by users during the normal use of the distribution automation practical index control system, including:

[0016] The basic data management module for distribution automation is used to manage the basic equipment data of the distribution network according to the microservices of the provincial collaborative computing node;

[0017] The analysis module for the practical indicators of distribution automation is used to visualize the graphics of the practical indicators of distribution automation according to the microservices of the provincial collaborative computing node;

[0018] The report application module for the practical indicators of distribution automation is used to visualize the reports of the practical indicators of distribution automation according to the microservices of the provincial collaborative computing node.

[0019] Beneficial effects

[0020] Due to the adoption of the above technical solutions, compared with the prior art, the present invention has the following advantages and positive effects: In terms of cost, the present invention can rely on the system index calculation and the ability of automatic report submission to reduce the workload of manually submitting indicators. In terms of benefits, it can play the core role of the power grid resource business middle platform, contribute to increasing the application effectiveness of the power grid resource business middle platform, promote data sharing, and realize business integration. Technically, it can use multi-source data to mutually verify the consistency of the index results, ensure the accuracy of basic data, verify the rationality of the index algorithm, and solve the computing power requirements and timeliness requirements for massive data analysis and calculation. Managerially, it can support the intelligent analysis and decision-making analysis system for the distribution automation specialty. Based on the analysis of the historical operation situation of distribution automation and the mining of massive data, it can analyze and predict possible future situations, providing information support for scientific decision-making by the management department. Brief description of the drawings

[0021] Figure 1 is the overall architecture diagram of the practical indicator control system for distribution automation in the embodiment of the present invention;

[0022] Figure 2 is the schematic diagram of the index system in the embodiment of the present invention;

[0023] Figure 3 is the data flow architecture diagram of the distribution automation system in the embodiment of the present invention;

[0024] Figure 4 is the architecture diagram of the service application layer in the embodiment of the present invention. Specific embodiments

[0025] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of this application.

[0026] The embodiment of the present invention relates to a distribution automation practical index control system, which is based on the power grid resource business middle platform, uses a unified information model standard and a shared service architecture, and is constructed using a middle platform microservice approach. Figure 1 As shown, it includes the headquarters side and the provincial company side.

[0027] The headquarters side includes a distribution automation index control module, which is used for index control and index display. The index control is used to clarify index requirements, define data ranges, and publish index evaluation systems and evaluation standards to the provincial company side based on the index requirements and data ranges; the index display is used to use the distribution network operation visualization module to expand the distribution automation practical index control module to achieve centralized statistics and display of practical indicators;

[0028] The provincial company side includes a distribution automation master station, a power grid resource business middle station and a provincial collaborative computing node; the distribution automation master station includes a provincial distribution automation zone IV and a municipal distribution automation zone I. The provincial distribution automation zone IV is used to receive the index calculation data uploaded by each municipal distribution automation zone I, and aggregate the index calculation data uploaded by each municipal distribution automation zone I with its own index calculation data, and then forward it to the power grid resource business middle station; the power grid resource business middle station is used to relay and store the aggregated index calculation data, and open services for the provincial collaborative computing node; the provincial collaborative computing node is used to obtain index calculation data and computing resources from the power grid resource business middle station to complete the index statistics and result publishing work. The provincial company side can first push the relevant data from the distribution automation master station to the power grid resource business middle station; then use the power grid resource business middle station to provide external service calls; finally, deploy microservices at the provincial collaborative computing node to realize service calls and index statistics.

[0029] The distribution automation practical index control system of this embodiment includes the following steps when performing control:

[0030] Step 1: First, the headquarters control group at the headquarters side shall clarify the indicator requirements, define the data range, and publish the indicator evaluation system and evaluation standards to the provincial company side based on the indicator requirements and data range.

[0031] In order to achieve effective control of the practical application of distribution automation, the company needs to comprehensively and objectively reflect the scale of system construction, operation status and application level, and then assist various units to coordinate various distribution network construction and transformation projects, accelerate the construction and transformation of master stations and terminals, strengthen the operation and maintenance of terminals, switches and communications, and improve the ability to respond and handle faults quickly. Therefore, the indicator system needs to cover all aspects of the distribution automation system. The focus is on the construction scale, operation status and application level of the distribution automation system.

[0032] As Figure 2 shown, the index evaluation system in this embodiment includes three dimensions, namely: construction, operation, and application; the construction dimension includes three indicators, namely the coverage rate of the new-generation master station area I, the trusted coverage rate of the master station, and the coverage rate of feeder automation; the operation dimension includes two indicators, namely the terminal online rate and the feeder automation investment rate; the application dimension includes four indicators, namely the remote control success rate, the remote control usage rate, the correct rate of feeder automation, and the reliability contribution index of feeder automation.

[0033] Step 2: Then, the middle platform and the master station manufacturer on the side of the provincial company define the data format to complete the data migration.

[0034] The provincial-level distribution automation master station area IV on the side of the provincial company collects the index calculation data uploaded by the distribution automation master station area I of each city, aggregates the index calculation data uploaded by the distribution automation master station area I of each city with its own index calculation data, and then forwards it to the grid resource service middle platform.

[0035] This step coordinates the middle platform and the master station manufacturer, sorts out the original structure of the master station databases built by different units and manufacturers, formulates a unified standardized synchronization plan for the historical databases of different manufacturers' master stations, determines the basic data required for calculation with the required statistical indicators as the core, and integrates the original data into the basic data through a unified algorithm and promotes it to the grid resource service middle platform.

[0036] As Figure 3 shown, the distribution automation area I of each city should synchronize the index calculation data to the provincial company side of the provincial-level distribution automation area IV according to the unified specification. These index calculation data mainly include: measurement data, event data, model data, etc.; after the provincial-level distribution automation area IV uniformly aggregates the received index calculation data, it forwards it to the grid resource service middle platform at high speed.

[0037] Step 3: Then, the middle platform manufacturer on the side of the provincial company formulates service specifications to complete the interface development.

[0038] The grid resource service middle platform relays and stores the aggregated index calculation data and opens services for the provincial collaborative calculation nodes.

[0039] This step coordinates with middleware vendors to formulate service specifications and complete interface development, realizing the data relay storage and forwarding of the power grid resource business middleware. It includes an annotation storage module, a microservice interface module, and a resource invocation interface module. Among them, the annotation storage module is used to annotate the aggregated index calculation data received according to administrative unit information and store the annotated index calculation data; the microservice interface module is used to provide specification information formats such as interface addresses, data formats, request methods, input parameter descriptions, and output parameter descriptions for the stored index calculation data; the resource invocation interface module is used to open computing resources for the provincial collaborative computing nodes to meet the database and computing power resources required for index statistics.

[0040] Step 4. Then, the provincial company control group on the provincial company side conducts in-situ calculation of indicators and uploads the result statistics.

[0041] The provincial collaborative computing node obtains index calculation data and computing resources from the power grid resource business middleware to complete index statistics work and result publishing work.

[0042] This step coordinates with the provincial company control group. On the provincial collaborative computing node, first, it obtains data by invoking the power grid resource business middleware service to realize the acquisition of massive data through the microservice interface. Then, it clarifies the index statistical algorithm and conducts in-situ calculation, trying to follow the principles of "less invocation, fast calculation", "only store index results, not basic data". Excessive invocation frequency will increase the resource burden on the middleware, and fast calculation speed can meet the user's usage requirements to achieve massive data large-concurrency calculation processing. Finally, through the provincial system connection plan, it realizes data synchronization and combination, completes the release of index results, and uploads the statistical results. The provincial collaborative computing node in this step realizes the above solution through the deployed microservices. As Figure 4 shown, the microservices include a statistical service, a query service, and a penetration service. The statistical service is used to realize the statistical work of indicators in various places; the query service is used to realize the function for users to view data at all levels and at all times; the penetration service is used to provide users with the function of penetrating and understanding the details of the queried data.

[0043] Step 5. Finally, the headquarters control group on the headquarters side conducts centralized statistics and display of indicators.

[0044] The distribution network operation visualization module on the headquarters side realizes centralized statistics and display of practical indicators by expanding the practical indicator control module of distribution automation.

[0045] The practical indicator control module of distribution automation in this step realizes the above solution through the front-end application. As Figure 4 shown, the front-end application provides visualization services required for users during the normal use of the practical indicator control system of distribution automation, including:

[0046] The basic data management module for distribution automation is used to manage the basic equipment data of the distribution network according to the microservices of the provincial collaborative computing node, and has the global management ability of distribution network resource data;

[0047] The analysis module for the practical indicators of distribution automation is used to realize the graphical visualization of the practical indicators of distribution automation according to the microservices of the provincial collaborative computing node, so as to have the four-level control ability of "headquarters-provincial-prefectural-county";

[0048] The report application module for the practical indicators of distribution automation is used to realize the visualization of the reports on the practical indicators of distribution automation according to the microservices of the provincial collaborative computing node, so as to improve the ability of automatic report submission, generate various daily, monthly, quarterly, and annual reports on the distribution automation indicators as required, and have the ability of report visualization and overall automatic report submission.

[0049] It is not difficult to find that the present invention can rely on the system index calculation and the ability of automatic report submission of the report from the cost perspective, reduce the workload of manually submitting indicators. From the benefit perspective, it can play the core role of the power grid resource business middle platform, help increase the application effectiveness of the power grid resource business middle platform, promote data sharing, and realize business integration. From the technical perspective, it can use multi-source data to mutually verify the consistency of the index results, ensure the accuracy of basic data, verify the rationality of the index algorithm, and solve the computing power requirements and timeliness requirements for massive data analysis and calculation. From the management perspective, it can support the professional intelligent analysis and decision-making analysis system for distribution automation. Based on the analysis of the historical operation conditions of distribution automation and the mining of massive data, it analyzes and predicts the possible situations in the future, and provides information support for the scientific decision-making of the management department.

Claims

1. A distribution automation practical index control system, characterized in that: Including the headquarters side and the provincial company side; The headquarters side includes a distribution automation index control module, which is used for index control and index display. The index control is used to clarify index requirements, define data ranges, and publish index evaluation systems and evaluation standards to the provincial company side based on the index requirements and data ranges; the index display is used to use the distribution network operation visualization module to expand the distribution automation practical index control module to achieve centralized statistics and display of practical indicators; The provincial company side includes a distribution automation master station, a power grid resource business middle station and a provincial collaborative computing node; the distribution automation master station includes a provincial distribution automation zone IV and a municipal distribution automation zone I. The provincial distribution automation zone IV is used to receive the index calculation data uploaded by each of the municipal distribution automation zones I, and aggregate the index calculation data uploaded by each of the municipal distribution automation zones I with its own index calculation data, and then forward it to the power grid resource business middle station; the power grid resource business middle station is used to relay and store the aggregated index calculation data, and open services for the provincial collaborative computing nodes; the provincial collaborative computing nodes are used to obtain index calculation data and computing resources from the power grid resource business middle station to complete index statistics and result publishing.

2. The distribution automation practical index control system according to claim 1 is characterized in that: The indicator evaluation system includes three dimensions, namely: construction, operation and application; the construction category includes three indicators, namely, the coverage rate of zone I of the new generation master station, the trusted coverage rate of the master station and the feeder automation coverage rate; the operation category includes two indicators, namely, the terminal online rate and the feeder automation investment rate; the application category includes four indicators, namely, the remote control success rate, the remote control utilization rate, the feeder automation accuracy rate and the feeder automation reliability contribution index.

3. The distribution automation practical index control system according to claim 1 is characterized in that: The indicator calculation data includes measurement data, event data and model data.

4. The distribution automation practical index control system according to claim 1, characterized in that: The power grid resource business middle platform includes: A labeling and storage module is used to label the received aggregated indicator calculation data according to the administrative unit information and store the labeled indicator calculation data; The microservice interface module is used to provide the interface address, data format, request method, input parameter description, and output parameter description for the stored indicator calculation data; The resource calling interface module is used to open computing resources for the provincial collaborative computing nodes to meet the database and computing power resources required for indicator statistics.

5. The distribution automation practical index control system according to claim 1, characterized in that: Microservices are deployed on the provincial collaborative computing nodes. The microservices include statistical services, query services, and penetration services. The statistical services are used to implement statistical work on indicators in various places. The query service is used to enable users to query data at various levels and time periods; the penetration service is used to provide users with the function of penetrating the queried data to understand the details.

6. The distribution automation practical index control system according to claim 5, characterized in that: The centralized statistics and display of indicators mainly refers to the front-end application, which is used to provide the visualization services required by users in the normal use of the distribution automation practical indicator management and control system, including: A distribution automation basic data management module, used to implement distribution network basic equipment data management based on the microservices of the provincial collaborative computing nodes; A distribution automation practical index analysis module, used to realize the graphical visualization of distribution automation practical indexes according to the microservices of the provincial collaborative computing nodes; The distribution automation practical index report application module is used to realize the visualization of the distribution automation practical index report based on the microservices of the provincial collaborative computing node.

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