Energy storage power station grid-related test management system and method
By leveraging the collaborative efforts of the main control module to automatically generate test plans, the test scheduling module to automate testing, and the data fusion module, the problems of low efficiency, insufficient standardization, and difficulty in meeting specifications in grid-connected tests of energy storage power stations have been solved. This has enabled full-process automation and standardization, improving testing efficiency and grid security.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ENVISION ENERGY TECH (SHANGHAI) CO LTD
- Filing Date
- 2025-12-23
- Publication Date
- 2026-05-08
AI Technical Summary
Currently, grid-connected tests of energy storage power stations rely on manual operation, which is inefficient, prone to errors, has a low degree of standardization, makes it difficult to meet national standards, lacks a dynamic response mechanism, has poor coordination among relevant parties, and results in low testing efficiency and an inability to optimize the test sequence based on the real-time status of the power grid.
The system employs a main control module to automatically generate test plans, a test scheduling module to perform automated testing, a data fusion module to process data uniformly, and a report generation module to generate standardized reports. Through module collaboration, the entire process is automated, reducing reliance on manual labor, improving efficiency, and meeting regulatory requirements.
It has achieved full automation of the grid connection test of energy storage power stations, reduced human error, improved testing efficiency, ensured standardized reports, met national standards, dynamically adjusted test strategies, and ensured the safe and stable operation of the power grid.
Smart Images
Figure CN122000966A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of energy storage power station technology, and in particular to a grid-connected test management system and method for energy storage power stations. Background Technology
[0002] Currently, grid connection testing of energy storage power stations is a crucial step in ensuring the safe and stable connection of these stations to the grid and compliance with various technical specifications. However, current grid connection testing of energy storage power stations mainly relies on manual operation and traditional automated systems. This places extremely high demands on the professional experience and operational capabilities of the personnel involved, and also brings the following shortcomings: First, from the formulation of test plans and on-site execution to data collection and analysis, each step relies too heavily on the experience and manual operation of technical personnel, resulting in low testing efficiency and a high risk of errors. Second, the level of standardization is low, the format of test reports is inconsistent, and the standards for collecting and processing key data differ, making it difficult to systematically meet the stringent review requirements of national mandatory safety regulations.
[0003] In summary, current grid connection tests of energy storage power stations have significant shortcomings in automation, intelligence, and standardization. There is a need for a new grid connection test scheme for energy storage power stations that can reduce reliance on manual labor, improve testing efficiency, and meet stringent regulatory requirements. Summary of the Invention
[0004] The purpose of this application is to provide a grid connection test management system and method for energy storage power stations, which can reduce reliance on manual labor, improve testing efficiency, and meet strict regulatory requirements in grid connection tests of energy storage power stations.
[0005] To address the aforementioned technical problems, this application provides an energy storage power station grid connection test management system. The system includes: a main control module for generating a grid connection test plan based on the scenario information of the energy storage power station; a test scheduling module for executing grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan; a data fusion module for performing data fusion processing on the grid connection test data of each subsystem to generate a test data view of each subsystem; and a report generation module for generating a grid connection test report of the energy storage power station based on a preset report template and the test data views of each subsystem.
[0006] The embodiments of this application also provide a method for managing grid connection tests of energy storage power stations, applied in the grid connection test management system of the energy storage power station. The method includes: generating a grid connection test plan based on scenario information of the energy storage power station; performing grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan; performing data fusion processing on the grid connection test data of each subsystem to generate a test data view of each subsystem; and generating a grid connection test report of the energy storage power station based on a preset report template and the test data views of each subsystem.
[0007] In this embodiment, during the grid connection test of an energy storage power station, the main control module generates a grid connection test plan based on the scenario information of the energy storage power station; the test scheduling module executes grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan; the data fusion module performs data fusion processing on the grid connection test data of each subsystem to generate test data views for each subsystem; and the report generation module generates a grid connection test report for the energy storage power station based on a preset report template and the test data views of each subsystem. This scheme enables the main control module to automatically generate standardized grid connection test plans, the test scheduling module to perform automated tests on each subsystem according to the grid connection test plan, the data fusion module to uniformly process and fuse multi-source heterogeneous test data to generate standardized subsystem test data views, and the report generation module to automatically generate a grid connection test report that meets the specifications based on a preset template and standardized data views. Through the collaborative work of these modules, the entire process of grid connection testing for energy storage power stations, from plan generation, test execution, data fusion to report output, is fully automated, reducing reliance on manual labor, improving testing efficiency, and meeting stringent specification requirements. Attached Figure Description
[0008] One or more embodiments are illustrated by way of example with the corresponding pictures in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.
[0009] Figure 1 This is a schematic diagram of the architecture of a grid-connected test management system for an energy storage power station according to an embodiment of this application.
[0010] Figure 2 This is a schematic diagram of the architecture of a grid-connected test management system for an energy storage power station according to an embodiment of this application.
[0011] Figure 3 This is a flowchart of a grid connection test management method for energy storage power stations according to an embodiment of this application.
[0012] Figure 4 This is a flowchart of a grid connection test management method for energy storage power stations according to an embodiment of this application. Detailed Implementation
[0013] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been presented in the various embodiments of this application to facilitate the reader's better understanding of this application. However, the technical solutions claimed in this application can be implemented even without these technical details and with various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.
[0014] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.
[0015] Currently, grid connection tests of energy storage power stations mainly rely on manual operation and traditional automated systems. This places extremely high demands on the professional experience and operational skills of the personnel involved, but also introduces several shortcomings: First, from test plan formulation and on-site execution to data collection and analysis, each stage relies excessively on the experience and manual operation of technical personnel, resulting in low testing efficiency and a high risk of errors. Second, standardization is low; test report formats are inconsistent, and the standards for collecting and processing key data differ, making it difficult to systematically meet the stringent review requirements of mandatory national safety regulations. Third, current grid connection test systems lack dynamic response mechanisms, making it difficult to... Adjustments made based on real-time changes in the actual operating status of the power grid during the test may interfere with the normal grid-connected operation of the energy storage power station and even cause local power supply and demand imbalances. Fourth, there is poor coordination among relevant parties. In key processes such as test plan review, process supervision, and report submission, the power grid company and the energy storage power station construction party lack efficient digital collaboration platforms and tools, resulting in high communication costs and easy deviations in information transmission. Fifth, the testing efficiency is low. Currently, the battery pack performance is generally tested serially one by one in grid-connected tests, which is time-consuming and cannot dynamically optimize the test sequence and strategy based on the real-time status of the power grid, affecting the intelligence and agility of the overall testing process.
[0016] In view of this, this application proposes a grid connection test management system and method for energy storage power stations. During the grid connection test of an energy storage power station, the main control module generates a grid connection test plan based on the scenario information of the energy storage power station; the test scheduling module executes grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan; the data fusion module performs data fusion processing on the grid connection test data of each subsystem to generate test data views for each subsystem; and the report generation module generates a grid connection test report for the energy storage power station based on a preset report template and the test data views of each subsystem. This scheme enables the main control module to automatically generate standardized grid connection test plans, the test scheduling module to perform automated tests on each subsystem according to the grid connection test plan, the data fusion module to uniformly process and fuse multi-source heterogeneous test data to generate standardized subsystem test data views, and the report generation module to automatically generate a grid connection test report that meets the specifications based on a preset template and standardized data views. Through the collaborative work of these modules, the entire process of grid connection testing for energy storage power stations, from plan generation, test execution, data fusion to report output, is finally automated, reducing reliance on manual labor, improving testing efficiency, and meeting stringent specification requirements.
[0017] The following is a detailed description of the implementation details of the energy storage power station grid connection test management system and method according to the embodiments of this application. The following content is only for the convenience of understanding and is not necessary for implementing this solution.
[0018] One embodiment of this application relates to a grid connection test management system for energy storage power stations, such as... Figure 1 As shown, the grid-connected test management system for energy storage power stations in this embodiment includes a main control module 110, a test scheduling module 120, a data fusion module 130, and a report generation module 140. The modules are connected to each other through an application programming interface (API) and a message queue.
[0019] The main control module 110 is used to generate a grid connection test plan based on the scenario information of the energy storage power station.
[0020] Specifically, the main control module 110 is the intelligent decision control center of the energy storage power station grid connection test management system, similar to an energy storage power station grid connection test management engineer. It can realize intelligent planning, execution control and data preprocessing throughout the entire life cycle of the energy storage power station grid connection test.
[0021] Specifically, in the initial stage of grid-connected testing, the main control module 110 needs to process the scenario information using machine learning algorithms to generate the test type. The main control module 110 can obtain the scenario information of the energy storage power station that needs to undergo grid-connected testing, and use machine learning algorithms to perform multi-dimensional feature analysis on the scenario information to accurately identify the test type of the grid-connected test that the energy storage power station needs to conduct. The scenario information may include information such as the operating scenario of the energy storage power station, equipment ledger, historical test data, and grid dispatch requirements. The scenario information may be input by the participants in the grid-connected test through the digital collaboration platform or obtained independently. The test type of grid-connected testing includes any one or more of the following: on-site testing of newly built power stations, modification testing of operating power stations, and periodic testing of power stations.
[0022] Specifically, after acquiring the test type, the main control module 110 can generate a grid-connected test plan based on the test type and the standard test procedure library. The main control module 110 has a built-in standard test procedure library, which includes standards such as GB / T 36547, Technical Specifications for Grid Connection of Electrochemical Energy Storage Power Stations, and DL / T 1870, Technical Specifications for Power System Grid-Source Coordination. After confirming the test type, it can intelligently plan the grid-connected test based on artificial intelligence and the standard test procedure library, automatically generating a complete grid-connected test plan that includes test items, technical parameters, safety measures, and timing logic. In terms of data processing, the main control module 110 integrates an intelligent preprocessing pipeline to automatically clean the input information, repair missing values, normalize dimensions, and verify consistency, constructing high-quality standardized data packets.
[0023] Specifically, in Figure 2 As shown, the energy storage power station grid connection test management system also integrates a digital collaboration module 150. After the main control module 110 generates the grid connection test plan, it submits the grid connection test plan to the various participants in the energy storage power grid connection test (such as the power grid company, power station owner, etc.) for review through the digital collaboration module 150. Each participant can intuitively view the grid connection test plan in the digital collaboration module 150 and modify it, such as adjusting parameters such as test thresholds, execution order, execution process, and triggering conditions. After each participant completes the modification of the grid connection test plan, the digital collaboration module 150 returns the grid connection test plan and modification opinions to the main control system 110. The main control system 110 then automatically adjusts the grid connection test plan according to the modification opinions, and submits it for review again through the digital collaboration module 150 until each participant confirms the grid connection test plan has been approved in the digital collaboration module 150. Meanwhile, the revision opinions of each participating party on the network-related test plan are recorded by the main control module 110, which will use the revision opinions to form a continuously optimized intelligent closed loop.
[0024] The test scheduling module 120 is used to perform grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan.
[0025] Specifically, after the main control module 110 generates the grid connection test plan, it will send the grid connection test plan to the test scheduling module 120; the test scheduling module 120 will conduct grid connection tests on each subsystem of the energy storage power station according to the received grid connection test plan.
[0026] Specifically, the energy storage power station is connected to the power grid, and the test scheduling module 120 can also adjust the test strategy of the grid-connected test plan according to the current operating status of the power grid. The current operating status of the power grid can be operating parameters such as load demand and frequency fluctuations. The adjustment of the test strategy includes adjusting the test power and changing the test time (e.g., arranging the test to be performed during the off-peak period (02:00-04:00) and adopting a strategy of gradually increasing the test load). After the test strategy is adjusted, the test scheduling module 120 then conducts grid-connected tests on each subsystem based on the grid-connected test plan after the test strategy is adjusted.
[0027] Specifically, the energy storage power station is connected to the power grid. After each round of grid connection testing, the test scheduling module 120 can adjust the test priority and / or test strategy of each subsystem of the energy storage power station for the next round based on the difference between the power demand of the power grid and the available power of the energy storage power station. The test scheduling module 120 first obtains the power surplus value based on the difference between the power demand of the power grid and the available power of the energy storage power station, and dynamically judges the safety of the test window based on the power surplus value, thereby adjusting at least one of the test priorities and test methods of each subsystem of the energy storage power station. The test method is either parallel testing or serial testing. This ensures that the normal grid connection operation of the energy storage power station is not affected during the grid connection test. After the test priority and / or test method of each subsystem of the energy storage power station are adjusted, the test scheduling module 120 then conducts grid connection tests on each subsystem based on the grid connection test plan.
[0028] Specifically, the test scheduling module 120 also has an anomaly detection function. The test scheduling module 120 continuously monitors the operating status of the power grid. When an anomaly is detected in the power grid operation, such as a critical electrical parameter exceeding its limit or a sudden change occurring, the test scheduling module 120 automatically stops the ongoing grid-connected test, switches to a safe operating condition, and issues an emergency alarm. The anomaly detection function elevates the potential risks to the power grid from a passive response to a proactive prevention level, providing a real-time "test firewall" for the safe operation of the power grid.
[0029] The data fusion module 130 is used to perform data fusion processing on the network-related test data of each subsystem and generate test data views for each subsystem.
[0030] Specifically, the data fusion module 130 is the data intelligent processing hub of the grid-connected test management system for energy storage power stations. Its core function is to integrate, clean, and perform in-depth correlation analysis on multi-modal data from multiple systems within the energy storage power station, thereby constructing a high-quality, standardized, and unified data foundation.
[0031] Specifically, the data fusion module 130 can be used to receive grid-connected test data from power conversion systems (PCS), energy management systems (EMS), and battery management systems (BMS). After receiving this raw data, which differs in timing, accuracy, and format, the data fusion module 130 uses data fusion techniques (such as sensor fusion and high-precision timing alignment algorithms) to process the raw data in real time, performing data cleaning, outlier removal, timestamp synchronization, and dimensional normalization, and then associating it with specific test items and equipment units. Simultaneously, after the raw data has been formatted, cleaned, and associated, the data fusion module 130 also generates a test data view based on this data.
[0032] Specifically, the data fusion module 130 also has a dynamic evaluation model for grid-connected operation capability. This model evaluates the key performance indicators of the energy storage power station by continuously comparing the dynamic deviation between the actual power output of the energy storage power station and the preset reference power, thereby obtaining the performance evaluation results of the energy storage power station. Among them, the key performance indicators can include one or more of the following: adjustment accuracy, response time, and stability margin.
[0033] The report generation module 140 is used to generate a grid connection test report for the energy storage power station based on a preset report template and the test data view of each subsystem.
[0034] Specifically, the report generation module 140 has internal report templates that comply with mandatory security specifications such as national and industry standards GB / T 36547 and DL / T1870. After receiving structured data from the data fusion module 140, the report generation module 140 can automatically complete data matching, filling and calculation, and generate trend analysis charts to produce a complete network-related test report that includes test items, raw data, result analysis, conclusions and recommendations.
[0035] Specifically, the report generation module 140 also integrates blockchain evidence storage services. Simultaneously with the generation of the grid-related test report, its key data fingerprints and generation information are uploaded to the blockchain, forming an immutable and precisely traceable trusted digital certificate. This completely solves the problems of traditional paper or electronic reports being easily modified and difficult to verify, providing a solid technical foundation for compliance review and post-event traceability by power grid companies and regulatory agencies.
[0036] Specifically, when the test type is a field test of a newly built power station, the energy storage power station grid connection test management system automatically generates a complete test plan based on the comprehensive analysis of the power station topology, equipment parameters and grid connection standards using artificial intelligence, and submits it to the power grid for review. After the review is approved, the system will strictly follow the test outline and schedule set in the plan, and allocate resources to complete all grid connection test projects required by the standards. Throughout the execution process, the system monitors the test progress and power grid status in real time, and dynamically adjusts the priority and parallel strategy of the test plan to ensure that the test is carried out efficiently and safely until all projects meet the standards.
[0037] Specifically, when the test type is an on-the-job power station retrofit test, the energy storage power station grid connection test management system first accurately identifies the grid connection performance indicators (such as power response characteristics, voltage regulation range, etc.) affected by the equipment or system retrofit. Based on this identification result, the system designs a targeted test project outline and schedule, focusing on verifying the functionality and performance of the retrofitted part, ensuring that it does not affect other existing qualified capabilities of the power station. Subsequently, the system automatically executes the necessary test procedures according to the customized outline, efficiently completing the performance verification and compliance confirmation after the retrofit.
[0038] Specifically, when the test type is a periodic test for the power station, the energy storage power station grid-connected test management system can automatically trigger the test plan according to a preset cycle (such as annually). During the test execution, the system not only completes the various tests for that test, but also retrieves historical test data to conduct longitudinal comparisons and in-depth evaluations of key indicators (especially battery pack performance degradation). Ultimately, the system can not only generate a compliance report for that test, but also automatically output a comprehensive report including performance trend analysis, health status diagnosis, and maintenance recommendations, providing data-driven decision support for the long-term stable operation and asset management of the power station.
[0039] In this embodiment, during the grid connection test of the energy storage power station, the main control module generates a grid connection test plan based on the scenario information of the energy storage power station; the test scheduling module executes grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan; the data fusion module performs data fusion processing on the grid connection test data of each subsystem to generate test data views for each subsystem; and the report generation module generates a grid connection test report for the energy storage power station based on a preset report template and the test data views of each subsystem. The beneficial effects of this solution include: First, it achieves full automation and intelligence from plan formulation to data processing, freeing technicians from tedious and repetitive manual work, significantly improving test efficiency, and fundamentally reducing errors caused by human negligence or experience differences. Second, it standardizes data acquisition, processing, and report output, ensuring that each test report is formatted uniformly, data is reliable, traceable, and tamper-proof, systematically meeting the review and audit requirements of national mandatory safety standards. Third, the test strategy is adjusted based on the real-time status of the power grid to ensure that the test activities are always carried out within a safe power margin, effectively avoiding the risk of power supply and demand imbalance caused by the test, and ensuring the safe and stable operation of the power grid and the power station itself. Fourth, the test priority and test methods are adjusted based on the power difference between the power grid and the energy storage power station, which significantly improves the intelligence level and execution agility of the overall test process.
[0040] One embodiment of this application relates to a grid connection test management system for energy storage power stations, such as... Figure 2 As shown, the grid-connected test management system for energy storage power stations in this embodiment includes a main control module 110, a test scheduling module 120, a data fusion module 130, a report generation module 140, and a digital collaboration module 150. The modules are connected to each other through an application programming interface (API) and a message queue.
[0041] The functions of the main control module 110, test scheduling module 120, data fusion module 130 and report generation module 140 in this embodiment are the same as those of the modules mentioned in the previous embodiments, and will not be described in detail here.
[0042] The digital collaboration module 150 is used to provide a collaborative environment for the parties involved in the network-related experiment to perform collaborative operations, and to receive collaborative operations from the parties involved in the network-related experiment based on the collaborative environment; wherein, the collaborative operations include at least one of reviewing the network-related experiment plan, reviewing the network-related experiment report, and tracking the process of the network-related experiment.
[0043] Specifically, the digital collaboration module 150 provides a cloud-based collaborative environment. All parties involved in the grid connection testing of the energy storage power station can participate in the testing through the digital collaboration module 150. These parties include equipment suppliers, power station owners, third-party testing agencies, and the power grid company's auditing department, among other key stakeholders. Within the collaborative environment, the main control module 110 can submit, transfer, manage multiple versions, and conduct hierarchical review of the grid connection test plan online. All parties can annotate and discuss the documents in real time. The report generation module 140 can securely share and collaboratively review the grid connection test report. Simultaneously, all parties can also use the collaborative environment to visually track and communicate the entire process status of the grid connection test in real time, ensuring information synchronization and transparent progress.
[0044] Specifically, the Digital Collaboration Module 150 incorporates an access control system that strictly manages data access, document operations, and process interventions. This ensures the security and privacy compliance of trade secrets, experimental data, and sensitive information during the sharing process, thereby achieving the best balance between improving collaboration efficiency and ensuring data security.
[0045] In this embodiment, a digital collaboration module is introduced during the grid connection test of the energy storage power station. The digital collaboration module provides a collaborative environment to support the collaborative operation of all parties involved in the grid connection test, and receives the collaborative operations of all parties involved in the grid connection test based on the collaborative environment. An efficient and transparent multi-party digital collaboration mechanism is established through the collaborative environment provided by the digital collaboration module, which transforms offline serial and discrete communication into online parallel and centralized collaboration, greatly reducing communication costs and the risk of information distortion, and significantly accelerating the speed of scheme review and process advancement.
[0046] The examples mentioned in the above embodiments can be freely combined, and any combination can be understood as an implementation method. The terms "implementation method" or "example" appearing in various places in the specification do not necessarily refer to the same implementation method, nor are they independent or alternative implementation methods mutually exclusive with other implementation methods. Those skilled in the art will understand that the implementation methods described herein can be combined with other implementation methods.
[0047] Another embodiment of this application relates to a method for managing grid connection tests of energy storage power stations, such as... Figure 3 As shown, the grid connection test management method for energy storage power stations in this embodiment includes steps 310 to 340. The specific contents of each step are as follows. The specific implementation details of each step are the same as the implementation details of each module in the grid connection test management system for energy storage power stations, and will not be repeated here.
[0048] Step 310: Generate a grid-connected test plan based on the scenario information of the energy storage power station.
[0049] Step 320: Perform grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan.
[0050] Step 330: Perform data fusion processing on the network-related test data of each subsystem to generate test data views for each subsystem.
[0051] Step 340: Generate a grid connection test report for the energy storage power station based on the preset report template and the test data view of each subsystem.
[0052] In one embodiment, the energy storage power station grid connection test management method also provides a collaborative environment to support the collaborative operation of the various participants in the grid connection test, and receives the collaborative operation of the various participants in the grid connection test based on the collaborative environment; wherein, the collaborative operation includes at least one of reviewing the grid connection test plan, reviewing the grid connection test report, and tracking the process of the grid connection test.
[0053] Another embodiment of this application relates to a management method for grid connection testing of energy storage power stations, applicable to, for example... Figure 1 In the grid connection test management system of the energy storage power station shown, such as Figure 4 As shown, the grid connection test management method for energy storage power stations in this embodiment includes steps 410 to 411, and the specific contents of each step are as follows.
[0054] Step 410: The main control module determines the test type and generates a network-related test plan.
[0055] Specifically, in this embodiment, the process by which the main control module determines the test type and generates the network-related test plan is the same as that mentioned in the previous embodiments, and will not be repeated here.
[0056] Step 420: Review the network-related test plan based on the digital collaboration module.
[0057] Specifically, after generating the grid-connected test plan, the main control module provides the grid-connected test plan to the participants of the energy storage power station for review through the digital collaboration module. If the review is successful, step 430 is executed; if the review fails, step 410 is executed, until the grid-connected test plan is approved. The review method of the grid-connected test plan through the digital collaboration module is the same as that mentioned in the previous implementation method, and will not be repeated here.
[0058] Step 430: The test scheduling module executes the test according to the network-related test plan.
[0059] Specifically, the test scheduling module will conduct grid connection tests on each subsystem of the energy storage power station according to the received grid connection test plan.
[0060] Specifically, the energy storage power station is connected to the power grid, and the test scheduling module can also adjust the test strategy of the grid-connected test scheme according to the current operating status of the power grid; the method of adjusting the test strategy is the same as that mentioned in the previous implementation method, and will not be repeated here.
[0061] Step 440: The data fusion module collects and processes experimental data.
[0062] Specifically, the data fusion module collects and processes experimental data in the same way as described in the previous implementation methods, and will not be repeated here.
[0063] Step 450: The data fusion module performs a performance evaluation on the energy storage power station.
[0064] Specifically, the data fusion module performs the same performance evaluation of the energy storage power station as described in the previous implementation method, and will not be repeated here.
[0065] Step 460: The test scheduling module dynamically adjusts the network-related tests.
[0066] Specifically, the energy storage power station is connected to the power grid. After a round of grid connection test is completed, the test scheduling module can also adjust the test priority and / or test strategy of each subsystem of the energy storage power station in the next round according to the difference between the power demand of the power grid and the available power of the energy storage power station. The method of adjusting the test priority and / or test strategy of each subsystem is the same as that mentioned in the previous implementation method, and will not be repeated here.
[0067] Step 470: Review whether the network-related test has passed.
[0068] Specifically, the network-related test can be reviewed based on the digital collaboration module and related test results. If the review is successful, step 480 is executed. If the review is unsuccessful, step 411 is executed to adjust the network-related test plan until the network-related test is approved.
[0069] Step 480: The report generation module generates a network-related test report.
[0070] Specifically, the process of generating the network test report by the report generation module is the same as that mentioned in the previous implementation method, and will not be repeated here.
[0071] Step 490: Submit a network-related test report based on the digital collaboration module and digitally store the report.
[0072] Specifically, the grid connection test report is provided to all participants in the energy storage power station through the digital collaboration module; the process of submitting the grid connection test report through the digital collaboration module is the same as that mentioned in the previous implementation method, and will not be repeated here.
[0073] Specifically, after submitting the network-related test report, the report generation module can also perform evidence storage processing on the network-related test report; the evidence storage process for the network-related test report is the same as that mentioned in the previous implementation method, and will not be repeated here.
[0074] The steps described above are for clarity only. In practice, they can be combined into one step or some steps can be split into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this application. Adding insignificant modifications or introducing insignificant designs to the algorithm or process, but without changing the core design of the algorithm and process, are also within the scope of protection of this application.
[0075] It is not difficult to see that this embodiment is a method embodiment corresponding to the above system embodiment, and this embodiment can be implemented in conjunction with the above system embodiment. The relevant technical details mentioned in the above system embodiment are still valid in this embodiment, and will not be repeated here to reduce repetition. Accordingly, the relevant technical details mentioned in this embodiment can also be applied to the above method embodiment.
[0076] Those skilled in the art will understand that the above embodiments are specific implementations of this application, and in practical applications, various changes can be made in form and detail without departing from the spirit and scope of this application.
Claims
1. A grid connection test management system for energy storage power stations, characterized in that, The system includes: The main control module is used to generate grid connection test plans based on the scenario information of the energy storage power station; The test scheduling module is used to perform grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan; The data fusion module is used to perform data fusion processing on the network-related test data of each of the subsystems and generate test data views of each of the subsystems. The report generation module is used to generate a grid connection test report for the energy storage power station based on a preset report template and the test data view of each subsystem.
2. The energy storage power station grid connection test management system according to claim 1, characterized in that, The main control module is used to generate a grid connection test plan based on the scenario information of the energy storage power station, including: The main control module is used to process the scene information using machine learning algorithms to generate test types; The main control module is used to generate the network-related test plan according to the test type and the preset standard test process library.
3. The energy storage power station grid connection test management system according to claim 1, characterized in that, The energy storage power station is connected to the power grid; the test scheduling module is used to perform grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan, including: The test scheduling module is used to adjust the test strategy of the grid-related test plan according to the current operating status of the power grid; The test scheduling module is used to perform network-related tests on each of the subsystems according to the network-related test plan after the test strategy is adjusted.
4. The energy storage power station grid connection test management system according to claim 1, characterized in that, The energy storage power station is connected to the power grid; the test scheduling module is used to perform grid connection tests on each subsystem of the energy storage power station according to the grid connection test plan, including: The test scheduling module is used to generate a power surplus value based on the power demand of the power grid and the available power of the energy storage station. The test scheduling module is used to adjust the test priority and / or test method of each subsystem according to the power surplus value, wherein the test method is a parallel test or a serial test; The test scheduling module is used to perform network-related tests on each of the subsystems according to the network-related test plan and the adjusted test priorities and / or test strategies of each subsystem.
5. The energy storage power station grid connection test management system according to claim 1, characterized in that, The energy storage power station is connected to the power grid; the test scheduling module is also used to stop performing grid-connected tests on each subsystem of the energy storage power station when an abnormality is detected in the operation of the power grid.
6. The energy storage power station grid connection test management system according to claim 1, characterized in that, The data fusion module is also used to generate a performance evaluation result of the energy storage power station based on the difference between the output power of the energy storage power station and the preset reference power.
7. The energy storage power station grid connection test management system according to claim 1, characterized in that, The report generation module is also used to perform evidence storage processing on the network-related test report.
8. The energy storage power station grid connection test management system according to claim 1, characterized in that, The system also includes a digital collaboration module; The digital collaboration module is used to provide a collaborative environment that supports collaborative operations among the participants in the network-related experiment, and to receive collaborative operations from the participants in the network-related experiment based on the collaborative environment; wherein, the collaborative operations include at least one of reviewing the network-related experiment plan, reviewing the network-related experiment report, and tracking the process of the network-related experiment.
9. A method for managing grid connection tests of energy storage power stations, characterized in that, The method, applied in the grid connection test management system for energy storage power stations according to any one of claims 1-8, comprises: Generate grid connection test plans based on scenario information of energy storage power stations; Grid connection tests were conducted on each subsystem of the energy storage power station according to the grid connection test plan. Data fusion processing is performed on the network-related test data of each subsystem to generate test data views of each subsystem. The grid connection test report of the energy storage power station is generated based on the preset report template and the test data view of each subsystem.
10. The method for managing grid connection tests of energy storage power stations according to claim 9, characterized in that, The method further includes; Provide a collaborative environment to support the collaborative operations of the parties involved in the network-related experiment, and receive collaborative operations from the parties involved in the network-related experiment based on the collaborative environment; wherein the collaborative operations include at least one of reviewing the network-related experiment plan, reviewing the network-related experiment report, and tracking the process of the network-related experiment.