Power quality management application verification method, device and equipment and storage medium

Abstract

The invention discloses an electric energy quality management application verification method, device and equipment and a storage medium, and the method is realized through a transparent zone area real-type platform, and the method comprises the steps: editing and generating a test scheme according to a test demand and in combination with the transparent zone area real-type platform; according to the test scheme, setting parameters of the transparent zone area real-model platform and parameters of the verification scene; testing an Internet of Things platform constructed by an intelligent gateway, each intelligent switch and an intelligent sensing terminal in the transparent court real-type platform after parameter setting, and monitoring test data in the test process to obtain terminal sensing data; and analyzing and evaluating the test result of the to-be-tested governance equipment or the to-be-evaluated governance method according to the terminal sensing data through the Internet of Things platform, and generating a test analysis report. The technical problems that in the prior art, an electric energy quality treatment application verification platform and method are low in reliability, and the electric energy quality level of a transformer area is low are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power quality management, and in particular to a power quality management application verification method, device, equipment and storage medium. Background Art

[0002] With the rapid development of new energy technology and power electronics technology, a large number of distributed power sources and power electronic equipment are connected to the distribution substation, which reduces the system inertia and increases uncertainty in the distribution substation, which has a serious impact on the power quality of the substation. In order to ensure the safe and stable operation of the new distribution substation, reliable power quality management methods are particularly important.

[0003] Common power quality problems in distribution networks include voltage fluctuations, low voltage at the end, three-phase imbalance, harmonic pollution, etc. Currently, there are many treatment devices and methods for common power quality problems in distribution networks, but there is a lack of mature power quality treatment application verification methods. It is impossible to effectively test and verify the application effects of related equipment and methods before actual grid operation, which is not conducive to improving the power quality of the substation and the stable operation of the substation. Especially in the new intelligent distribution network, the structure and function of the distribution network are more complex, and various new types of power-consuming equipment have higher and higher requirements for power quality.

[0004] However, the existing technical solutions for power quality management application verification provide the test environment required for power quality management application verification by constructing a simplified distribution network model and simulating the power quality interference of the distribution network. However, there are the following deficiencies: 1) In terms of the reliability of the test results, since the distribution network model constructed by it simulates the traditional distribution network, it does not have key elements such as distributed power sources and AC / DC charging piles in the new intelligent distribution network, and it is also impossible to construct a typical scenario of the distribution Internet of Things, making it difficult to truly simulate the operating characteristics of the current actual distribution network, and the reliability of the test results cannot be guaranteed; 2) In terms of the richness of the test scenarios, due to the limitations of platform elements, the existing technical solutions are difficult to perform reliable scenario simulations for power quality management applications such as three-phase imbalance and terminal voltage drop in the substation area; 3) In terms of test convenience and ease of use, the existing technical solutions have not standardized the design of specific test processes such as test scenario layout, data collection, and result analysis, and the test efficiency is low. Therefore, there is an urgent need for a reliable power quality management application verification platform and method to effectively improve the power quality level of the substation area. Summary of the invention

[0005] In view of this, the first aspect of the present application provides a power quality management application verification method, device, equipment and storage medium to solve the technical problems of low reliability of power quality management application verification platform and method and low power quality level of substation in the prior art.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method for verifying power quality management applications, which is implemented through a transparent substation true model platform, including:

[0007] According to the test requirements and in combination with the transparent real-type platform, a test plan is edited and generated; wherein the test plan includes: the treatment equipment to be tested or the treatment method to be evaluated, and the transparent real-type platform is used to provide verification scenarios for several types of power quality treatment functions;

[0008] According to the test plan, setting the parameters of the transparent platform and the verification scenario;

[0009] Test the IoT platform constructed by the smart gateway, smart switches and smart sensing terminals in the transparent area real platform after parameter setting, and monitor the test data during the test to obtain terminal sensing data;

[0010] Through the Internet of Things platform, the test results of the governance equipment to be tested or the governance method to be evaluated are analyzed and evaluated according to the terminal perception data, and a test analysis report is generated.

[0011] As a preferred solution, the test plan is edited and generated according to the test requirements and in combination with the transparent platform, specifically including:

[0012] Analyze the test requirements, determine the type of power quality problems that need to be simulated, and obtain the test type;

[0013] Based on the test requirements and the configuration of the transparent platform, the test topology modeling is performed to confirm the source-load equipment and data acquisition equipment required in the test topology;

[0014] Based on the test requirements, determine the degree of power quality abnormality required to be simulated in the test, and determine the test data to be monitored;

[0015] According to the abnormal degree of electric energy and the test data to be monitored, a typical verification scenario is compiled, and a test result analysis process is set, so as to plan the test implementation process in combination with the typical verification scenario and determine the test execution steps;

[0016] The test type and the corresponding edited test topology, the test data to be monitored, the typical verification scenario and the test execution steps are pre-stored as a typical implementation case as the edited and generated test plan.

[0017] As a preferred solution, the parameter setting of the transparent platform and the parameter setting of the verification scenario according to the test plan specifically includes:

[0018] According to the platform grid configuration of the test topology in the test scheme, a real platform test topology grid that meets the test requirements is constructed, and the corresponding governance equipment to be tested is connected and initialized, thereby completing the parameter setting of the transparent platform real platform;

[0019] According to the source-load equipment and data acquisition equipment required for the test topology in the test plan and the test data to be monitored, combined with the corresponding connected and initialized test equipment, the parameters of the verification scenario are set; wherein the test equipment is connected to the grid and operated together with different abnormal power quality operating conditions simulations.

[0020] As a preferred solution, the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and intelligent sensing terminal in the transparent area real platform after parameter setting is tested, and test data is monitored during the test to obtain terminal sensing data, specifically including:

[0021] The connected and initialized management equipment to be tested after parameter setting is used as an intelligent sensing terminal, and connected to each corresponding intelligent switch respectively, and the corresponding intelligent gateway is set for each connected intelligent switch, so as to build an Internet of Things platform;

[0022] After the Internet of Things platform is built, based on the test plan and the simulation of different abnormal power quality operating conditions corresponding to the equipment to be tested, the power management test of the transparent substation real platform is carried out; wherein, the power management test includes the simulation stage of abnormal power quality operating conditions and the management stage;

[0023] Based on the intelligent sensing terminal and power quality analyzer in the Internet of Things platform, test data monitoring is performed during the test process, so as to sense and collect key equipment status and key node parameters in real time, and collect them as terminal sensing data to the intelligent gateway; wherein the terminal sensing data includes abnormal stage data, governance stage data and post-governance data;

[0024] The terminal perception data collected at the intelligent gateway is directly forwarded or forwarded to the Internet of Things platform after edge computing, so as to perform data display and advanced application analysis.

[0025] As a preferred solution, the IoT platform analyzes and evaluates the test results of the governance equipment to be tested or the governance method to be evaluated according to the terminal perception data, and generates a test analysis report, which specifically includes:

[0026] Through the Internet of Things platform, the actual scene is analyzed based on the collected terminal perception data;

[0027] Verify and compare the actual scenario with the verification scenario, and when the actual scenario is consistent with the verification scenario, analyze the abnormal phase data in the terminal perception data to obtain the corresponding actual abnormal working condition, and determine the actual perception device;

[0028] If the actual sensing device corresponds to the control device to be tested, and the actual abnormal operating condition of the actual sensing device is the same as the abnormal power quality operating condition corresponding to the control device to be tested, the control stage data and the post-control data in the terminal sensing data are analyzed, and according to the preset evaluation model, the control stage data and the post-control data are automatically analyzed, so as to automatically generate a test analysis report.

[0029] As a preferred solution, the method for constructing the preset evaluation model includes:

[0030] Acquire sample data corresponding to management stage data and post-management data during power management in the management device to be tested, as well as annotation data corresponding to the sample data;

[0031] An initial preset evaluation model is constructed, and the sample data and the labeled data are respectively used as training data of the initial preset evaluation model. The initial preset evaluation model is trained until the loss function of the initial preset evaluation model tends to be fitted, thereby obtaining a final trained preset evaluation model.

[0032] As a preferred solution, the transparent substation true platform includes: key equipment of traditional distribution substations, new distribution substation equipment, power quality management areas for accessing power quality management equipment through standardized interfaces, and intelligent gateways for IoT networking of various smart switches and smart sensing terminals in the substation.

[0033] As a preferred solution, the verification scenarios of the power quality management function include: voltage quality management function verification scenario, three-phase unbalance management function verification scenario, harmonic management function verification scenario and photovoltaic reverse transmission management function verification scenario.

[0034] As a preferred solution, the parameter setting of the voltage quality management function verification scenario specifically includes:

[0035] The overall transparent substation real platform power supply is carried out by combining an isolation transformer and a voltage regulator. The substation voltage is controlled by setting the voltage regulator parameters, thereby generating and providing substation voltage fluctuation and overvoltage operation scenarios;

[0036] The line impedance parameters are adjusted through the line simulation device to simulate different feeder lengths. Combined with the controllable simulated load in the platform, different feeder lengths and different loads are combined to reproduce the low-voltage operating conditions at the end of the substation.

[0037] Based on the Internet of Things during low-voltage power distribution, the substation voltage is obtained in real time as the initial voltage data for the substation voltage fluctuation test, and the substation voltage changes during the test are continuously monitored as the test data for the monitored voltage quality management function verification scenario, thereby completing the setting of the voltage quality management function verification scenario.

[0038] As a preferred solution, the control of the station area voltage by setting the voltage regulator parameters specifically includes:

[0039] By adjusting the voltage regulator, the contact position between the brush and the coil in the voltage regulator is changed, thereby changing the turns ratio of the primary and secondary coils, and then adjusting the output voltage to control the console voltage.

[0040] As a preferred solution, the parameter setting of the three-phase unbalanced governance function verification scenario specifically includes:

[0041] Based on the test scheme, the unbalance degree of load in the substation is determined, and according to the unbalance degree of load in the substation, a feed-type controllable simulated load is configured to set the three-phase power, so that the feeder of the transparent substation real platform operates in an unbalanced state;

[0042] By configuring an intelligent phase-changing switch, the imbalance state operation in the transparent substation real platform is managed, and a standardized interface is provided through the intelligent phase-changing switch, so that the three-phase imbalance management demonstration can be carried out while the equipment to be tested is connected and functionally tested, thereby completing the setting of the three-phase imbalance management function verification scenario.

[0043] As a preferred solution, the parameter setting of the harmonic control function verification scenario specifically includes:

[0044] Based on the positive harmonic output of the energy-feedback controllable simulated load, harmonics are injected into the power grid in the transparent real-type platform through energy feedback, so that the transparent real-type platform simulates the harmonic pollution scenario;

[0045] The device to be tested is connected to the interface of the harmonic control device reserved in the substation, and the changes in the harmonics in the substation are monitored in real time through the Internet of Things of the substation power distribution, thereby completing the setting of the harmonic control function verification scenario.

[0046] As a preferred solution, the parameter setting of the photovoltaic reverse transmission management function verification scenario specifically includes:

[0047] Based on the test plan, the characteristics of the photovoltaic module to be simulated are determined, and the light intensity, temperature and shadow parameters corresponding to the special effects of the photovoltaic module are simulated by configuring the program-controlled simulated photovoltaic cells;

[0048] Based on the photovoltaic inverter with active and reactive power output corresponding to the test scheme, in combination with the photovoltaic cell, a photovoltaic simulation system is constructed, and the photovoltaic output curve of the transparent real platform is set by the photovoltaic simulation system;

[0049] Combined with the preset load power curve in the substation, the simulation operation from the normal operation of the photovoltaic substation to the photovoltaic reverse transmission scenario can be realized;

[0050] During the simulation operation, the smart meters and smart sensors in the distribution station area are used to obtain the voltage, current and power generation data of the distribution station area in real time as test data for the photovoltaic reverse transmission management function verification scenario, thereby completing the setting of the photovoltaic reverse transmission management function verification scenario.

[0051] Accordingly, the present invention also provides a power quality management application verification device for a transparent substation true model platform, comprising: a scheme editing module, a parameter setting module, a data monitoring module and a result analysis module;

[0052] The scheme editing module is used to edit and generate a test scheme according to the test requirements and in combination with the transparent real-type platform of the substation; wherein the test scheme includes: the treatment equipment to be tested or the treatment method to be evaluated, and the transparent real-type platform of the substation is used to provide verification scenarios of several types of power quality treatment functions;

[0053] The parameter setting module is used to set the parameters of the transparent platform and the verification scenario according to the test plan;

[0054] The data monitoring module is used to test the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and the intelligent sensing terminal in the transparent area real platform after parameter setting, and monitor the test data during the test to obtain the terminal sensing data;

[0055] The result analysis module is used to analyze and evaluate the test results of the governance equipment to be tested or the governance method to be evaluated based on the terminal perception data through the Internet of Things platform, and generate a test analysis report.

[0056] Correspondingly, the present invention also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the power quality management application verification method as described in any one of the above.

[0057] Correspondingly, the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power quality management application verification method as described in any one of the above.

[0058] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0059] The technical solution of the present invention can accurately and reliably build a platform for simulation operation by editing the test plan and setting the parameters of the transparent substation real platform and the verification scenario, so that it has the operation simulation capability of the new intelligent distribution system, and can support the verification of various power quality management application functions under the background of the new power system. At the same time, the Internet of Things is constructed to achieve panoramic perception of the platform status and transparent display of the test process, intuitively display the test effect, accurately and reliably collect and obtain the simulated data, provide a systematic real test environment, and the test results are highly reliable. Finally, the test results are analyzed to improve the test efficiency and ease of operation. At the same time, based on the terminal perception data collected by the Internet of Things platform, hierarchical analysis is automatically performed, which can improve the accuracy and efficiency of power quality analysis and improve the user's operating experience in power quality analysis and detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] 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 labor.

[0061] Figure 1 : A flow chart of the steps of a power quality management application verification method provided by an embodiment of the present invention;

[0062] Figure 2 : A schematic diagram of the test implementation process provided by an embodiment of the present invention;

[0063] Figure 3 : A schematic diagram of the low-voltage true distribution station area architecture provided by an embodiment of the present invention;

[0064] Figure 4 : A flow chart of intelligent gateway data transmission provided by an embodiment of the present invention;

[0065] Figure 5 : A structural diagram of a true platform intelligent monitoring system provided by an embodiment of the present invention;

[0066] Figure 6 : A schematic diagram of a real-type platform architecture for implementing a use case provided in an embodiment of the present invention;

[0067] Figure 7 : A schematic diagram of a test topology for implementing a use case provided by an embodiment of the present invention;

[0068] Figure 8 : A structural diagram of the power quality management application verification device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0069] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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.

[0070] Embodiment 1

[0071] Please refer to Figure 1 , a method for verifying the application of power quality management provided by an embodiment of the present invention is implemented through a transparent area true model platform, and includes the following steps S101-S104:

[0072] Step S101: Edit and generate a test plan based on test requirements and in combination with the transparent substation real-type platform; wherein the test plan includes: a treatment device to be tested or a treatment method to be evaluated, and the transparent substation real-type platform is used to provide verification scenarios for several types of power quality treatment functions.

[0073] In this embodiment, the test plan is used to guide the overall test process. Figure 2 As shown in the figure, the real platform management system has the typical case editing function, which can edit and preset typical test plans. The specific test plan content includes: test demand analysis, test topology determination, test parameter determination, test detection data determination and test result analysis.

[0074] As a preferred solution of this embodiment, the transparent substation true platform includes: key equipment of traditional distribution substations, new distribution substation equipment, a power quality management area for accessing power quality management equipment through a standardized interface, and an intelligent gateway for IoT networking of each smart switch and smart sensing terminal in the substation.

[0075] It should be noted that the transparent substation real-type platform can truly simulate the operating characteristics of a new distribution substation with a high proportion of distributed power sources and power electronic equipment connected, and arrange typical test scenarios and connect the equipment to be tested for different power quality issues, to achieve diversified power quality management scenario simulations, to support the functional verification of power quality management equipment and management methods in distribution substations under the background of new power systems, and to improve the power quality level of distribution substations.

[0076] In this embodiment, the transparent platform is as follows Figure 3 As shown, it is used to simulate the operation characteristics of new distribution substations and provide a verification environment for substation power quality management applications that conform to the actual situation on site. The transparent substation real platform includes key equipment in traditional distribution substations, such as distribution transformers, integrated distribution boxes (JP cabinets), branch boxes, household meter boxes, and user equipment; it has characteristic elements of new distribution substations, such as distributed simulated power supplies and simulated charging piles, and can simulate typical operation scenarios of new distribution substations; at the same time, the real platform is equipped with a power quality management area, providing a standardized interface, which can actually connect to power quality management equipment such as smart capacitors, active power filters, and static VAR generators.

[0077] It should be noted that the low-voltage real platform is equipped with an intelligent gateway and various sensor devices for the Internet of Things networking in the substation area. The intelligent gateway is an IoT edge computing terminal applied to low-voltage intelligent substations, integrating the functions of power supply information collection in the distribution substation area, equipment status monitoring and communication networking, local analysis and decision-making, and master station communication.

[0078] In this embodiment, the terminal adopts a platform-based hardware design and edge computing architecture to support local data storage and decision analysis. Figure 4 As shown, the MQTT protocol is used as the data bus inside the gateway. After various types of monitoring data in the substation are connected to the smart gateway through different protocols, they are distributed to different APPs via the MQTT bus for edge computing or storage. The smart gateway interacts with the Internet of Things platform through the MQTT protocol, receives instructions from the Internet of Things platform and sends the substation monitoring data information. The Internet of Things platform function in the present invention is realized by the real platform test management system.

[0079] In this embodiment, the intelligent gateway is used as the core to connect the intelligent switches and intelligent sensing terminals in the station area to form an IoT network. Figure 5 The real-type platform intelligent monitoring system shown can realize real-time monitoring of various data such as electrical protection measurement and control, dynamic environment monitoring, video monitoring, security alarm, etc. in the substation area, and create a transparent real-type test platform with panoramic state perception. In the power quality management application verification technical solution proposed in the invention, the data of the entire test process can be collected and displayed in real time through the distribution network Internet of Things, and the test effect can be displayed intuitively.

[0080] Step S102: According to the test plan, the parameters of the transparent stage area real platform and the parameters of the verification scene are set.

[0081] In this embodiment, the test parameter setting is based on the test scheme generated with one click, and specific test parameter settings are performed, including platform parameter settings and scene parameter settings. The platform parameter setting performs real platform grid configuration according to the topological model in the test scheme, builds a real platform test topology grid that meets the test requirements, and completes the access and initialization of the corresponding equipment. The scene parameter setting is used to perform platform equipment parameter setting and device access and parameter setting to achieve different power quality abnormal operating conditions simulation and device grid operation. The specific parameter setting content is the content determined in "Test parameter determination" in step S1.

[0082] Step S103: Test the Internet of Things platform constructed by the smart gateway, each smart switch and the smart sensing terminal in the transparent area real platform after parameter setting, and monitor the test data during the test to obtain the terminal sensing data.

[0083] In this embodiment, online monitoring of test data can be achieved through the power distribution Internet of Things built with the intelligent gateway as the core. Various intelligent sensing terminals and power quality analyzers in the real-type platform perceive the key equipment status and key node parameters in the test process in real time and collect them to the intelligent gateway. The intelligent gateway forwards the collected terminal sensing data directly or after edge computing to the Internet of Things platform for data display and advanced application analysis.

[0084] Step S104: Through the Internet of Things platform, the test results of the governance equipment to be tested or the governance method to be evaluated are analyzed and evaluated according to the terminal perception data, and a test analysis report is generated.

[0085] In this embodiment, the Internet of Things platform automatically analyzes and evaluates the test results of the governance equipment to be tested or the governance method to be evaluated based on the state perception data of the entire test process, and automatically generates a test analysis report.

[0086] Implementing the above embodiments has the following effects:

[0087] The technical solution of the present invention can accurately and reliably build a platform for simulation operation by editing the test plan and setting the parameters of the transparent substation real platform and the verification scenario, so that it has the operation simulation capability of the new intelligent distribution system, and can support the verification of various power quality management application functions under the background of the new power system. At the same time, the Internet of Things is constructed to achieve panoramic perception of the platform status and transparent display of the test process, intuitively display the test effect, accurately and reliably collect and obtain the simulated data, provide a systematic real test environment, and the test results are highly reliable. Finally, the test results are analyzed to improve the test efficiency and ease of operation. At the same time, based on the terminal perception data collected by the Internet of Things platform, hierarchical analysis is automatically performed, which can improve the accuracy and efficiency of power quality analysis and improve the user's operating experience in power quality analysis and detection.

[0088] Embodiment 2

[0089] This embodiment provides a preferred implementation scheme of each step in the first embodiment (including steps S101 to S104).

[0090] As a preferred solution of this embodiment, the test plan is edited and generated according to the test requirements and in combination with the transparent platform, specifically including:

[0091] Analyze the test requirements, determine the type of power quality problems that need to be simulated, and obtain the test type; model the test topology based on the test requirements and the configuration of the transparent substation real platform, so as to confirm the source-load equipment and data acquisition equipment required in the test topology; determine the degree of power quality abnormality required to be simulated in the test based on the test requirements, and determine the test data to be monitored; edit and obtain a typical verification scenario based on the power abnormality degree and the test data to be monitored, and set the test result analysis process, so as to plan the test implementation process in combination with the typical verification scenario and determine the test execution steps; pre-store the test type and the corresponding edited test topology, the test data to be monitored, the typical verification scenario and the test execution steps as a typical implementation case as the edited and generated test plan.

[0092] In this embodiment, the test plan is used to guide the overall test process. The true platform management system has a typical case editing function, which can edit and preset typical test cases. The specific implementation method is: first, conduct a test demand analysis to clarify the type of power quality problems that need to be simulated, and then conduct test topology modeling and typical test scenario editing based on the test requirements and platform configuration, and plan the test implementation process to determine the detailed test execution steps; finally, the test type and the corresponding edited test topology, test scenario and test process are pre-saved as a typical implementation case, so that a typical test plan can be generated with one click when conducting similar experiments, thereby improving test efficiency.

[0093] In this embodiment, typical implementation cases may include: test demand analysis, test topology determination, test parameter determination, test detection data determination, and test result analysis. Among them, test demand analysis: determine the type of power quality problem in the substation area that needs to be simulated for the test; test topology determination: determine the substation area topology required to build the power quality abnormality scenario, that is, confirm the source, load equipment and data acquisition equipment required for the test; test parameter determination: determine the degree of power quality abnormality required to be simulated for the test, such as the expected voltage value in the voltage quality abnormality problem, the load imbalance in the three-phase imbalance problem, the harmonic order and harmonic content in the harmonic abnormality problem, the photovoltaic output and load power size in the photovoltaic reverse transmission problem, etc.; test data acquisition: determine the key test data that needs to be monitored in real time, including real-time voltage and current data in voltage quality management; three-phase power of distribution transformer in three-phase imbalance management, harmonic content of each order in harmonic abnormality management, photovoltaic power generation branch voltage, current and meter electric energy data in the photovoltaic reverse transmission management; test result analysis: determine the evaluation basis according to different test scenarios to judge the power quality management effect. The evaluation basis is the key data collected in the test data collection step.

[0094] As a preferred solution of this embodiment, the parameter setting of the transparent platform and the parameter setting of the verification scene according to the test plan specifically includes:

[0095] According to the platform grid configuration of the test topology in the test scheme, a real platform test topology grid that meets the test requirements is constructed, and the corresponding control equipment to be tested is connected and initialized, thereby completing the parameter setting of the transparent substation real platform; according to the source-load equipment and data acquisition equipment required for the test topology in the test scheme and the test data to be monitored, combined with the corresponding control equipment to be tested after connection and initialization, the parameters of the verification scenario are set; wherein, the control equipment to be tested is connected to the grid and operated together with different abnormal power quality operating conditions simulations.

[0096] In this embodiment, the test parameter setting is based on the test scheme generated with one click, and specific test parameter settings are performed, including platform parameter settings and scene parameter settings. The platform parameter setting configures the real platform grid according to the topological model in the test scheme, builds a real platform test topology grid that meets the test requirements, and completes the access and initialization of the corresponding equipment; the scene parameter setting is used to perform platform equipment parameter setting and the access and parameter setting of the equipment to be tested, so as to realize the simulation of different abnormal power quality operating conditions and the grid operation of the equipment to be tested.

[0097] In this embodiment, the specific parameter setting content is the content determined in "determining test parameters" in step S1 of embodiment 1. The parameters of the corresponding verification scenario are set by combining the source-load equipment, data acquisition equipment and test data to be monitored required for the test topology in the test plan with the corresponding access and initialized test management equipment, thereby improving the accuracy of the simulation scenario.

[0098] As a preferred solution of this embodiment, the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and the intelligent sensing terminal in the transparent area real platform after parameter setting is tested, and the test data is monitored during the test to obtain the terminal sensing data, which specifically includes:

[0099] The management equipment to be tested that is connected and initialized after parameter setting is used as an intelligent sensing terminal, and is connected to each corresponding intelligent switch respectively, and each connected intelligent switch is set with a corresponding intelligent gateway to build an Internet of Things platform; after building the Internet of Things platform, based on the test plan and the simulation of different abnormal power quality operating conditions corresponding to the management equipment to be tested, the power management test of the transparent substation real platform is carried out; wherein, the power management test includes the simulation stage and the management stage of abnormal power quality operating conditions; based on the intelligent sensing terminal and the power quality analyzer in the Internet of Things platform, the test data is monitored during the test, so as to sense and collect the key equipment status and key node parameters in real time, and collect them as terminal perception data to the intelligent gateway; wherein, the terminal perception data includes abnormal stage data, governance stage data and post-governance data; the terminal perception data collected to the intelligent gateway is directly forwarded or forwarded to the Internet of Things platform after edge computing, so as to display data and analyze advanced applications.

[0100] In this embodiment, online monitoring of test data can be achieved through the power distribution Internet of Things built with the intelligent gateway as the core. Various intelligent sensing terminals and power quality analyzers in the real-type platform perceive the key equipment status and key node parameters in the test process in real time and collect them to the intelligent gateway. The intelligent gateway forwards the collected terminal sensing data directly or after edge computing to the Internet of Things platform for data display and advanced application analysis.

[0101] In this embodiment, the test management device is used as an intelligent sensing terminal, and it needs to be connected to the system after parameter setting. These devices will be connected to the corresponding intelligent switches respectively to realize data collection and control signal transmission. After the intelligent switch is connected to the intelligent sensing terminal, it is necessary to set up corresponding intelligent gateways for these connections. As a key device for data collection, transmission and processing, the intelligent gateway is responsible for aggregating and preliminarily processing the data of the front-end device. Thus, an Internet of Things platform can be built, which integrates functions such as device access, data transmission, data processing and application services. This platform will support the connection of massive devices and provide data services such as data access, parsing, storage and analysis. Based on the test plan, different abnormal power quality operating conditions will be simulated to test the performance of the test management device. This includes the simulation of power quality indicators such as voltage deviation, frequency deviation, harmonics, and three-phase voltage imbalance. The power management test includes the simulation stage of abnormal power quality operating conditions and the management stage. In the simulation stage, we will simulate various abnormal conditions in the power grid; in the management stage, the test management device will try to compensate and adjust these abnormalities. During the test, the intelligent sensing terminal and power quality analyzer will monitor and collect key equipment status and key node parameters in real time. These data will be used as terminal sensing data, including abnormal stage data, governance stage data and post-governance data. The terminal sensing data will be collected by the intelligent gateway and then forwarded directly or after edge computing processing to the IoT platform. Edge computing can process data near the data source, reduce latency and improve response speed. On the IoT platform, the collected data will be used for data display and advanced application analysis, including evaluation of power governance effects, monitoring of equipment performance, formulation of optimization strategies and other extended functions.

[0102] As a preferred solution of this embodiment, the test results of the governance device to be tested or the governance method to be evaluated are analyzed and evaluated according to the terminal perception data through the Internet of Things platform, and a test analysis report is generated, which specifically includes:

[0103] Through the Internet of Things platform, the actual scenario is analyzed based on the collected terminal perception data; the actual scenario is verified and compared with the verification scenario. When the actual scenario is consistent with the verification scenario, the abnormal stage data in the terminal perception data is analyzed to obtain the corresponding actual abnormal working condition, and the actual perception device is judged; if the actual perception device corresponds to the control device to be tested, and the actual abnormal working condition of the actual perception device is the same as the abnormal power quality operating condition corresponding to the control device to be tested, the control stage data and the post-control data in the terminal perception data are analyzed, and according to the preset evaluation model, the control stage data and the post-control data are automatically analyzed, so as to automatically generate a test analysis report.

[0104] In this embodiment, the IoT platform automatically analyzes and evaluates the test results of the treatment equipment to be tested or the treatment method to be evaluated based on the state perception data of the entire test process, and automatically generates a test analysis report. Depending on the type of test, the basis for the analysis of the test results is significantly different, and the detailed judgment basis is the various parameters determined in "test data collection".

[0105] In this embodiment, a large amount of data is collected from intelligent sensing terminals through the Internet of Things platform. These data include power parameters such as voltage, current, frequency, and the operating status and environmental conditions of the equipment. Using big data analysis technology, the actual operating scenario can be parsed from these complex data, providing a basis for subsequent verification and comparison. The actual scenario obtained by parsing is compared and verified with the pre-set verification scenario. If the two are consistent, it means that the collected data accurately reflects the actual power quality status. On this basis, the abnormal stage data in the terminal perception data is further analyzed to determine the actual abnormal working conditions and identify the abnormal equipment.

[0106] In this embodiment, once the actual abnormal working condition is determined, it is necessary to determine whether the device where the abnormality occurs is the treatment device to be tested that we are concerned about. If the actual sensing device corresponds to the treatment device to be tested, and its abnormal working condition matches the abnormal power quality operating condition preset by the treatment device to be tested, this indicates that the treatment device to be tested is experiencing the expected test conditions. After confirming the abnormal working condition, the treatment phase data in the terminal sensing data is analyzed, including the response and compensation measures of the treatment device to be tested to the abnormal working condition, and the effect of these measures. After the treatment phase, continue to collect and analyze the post-treatment data to evaluate the performance and effect of the treatment device to be tested, including the recovery of power parameters and the stability of the equipment. According to the preset evaluation model, the Internet of Things platform can automatically analyze the treatment phase data and the post-treatment data. The preset evaluation model may include the degree of improvement of power quality indicators, the response time of the equipment, and the compensation efficiency. Through these analyses, the platform can automatically generate a test analysis report, which will include a detailed description of the abnormal working condition, an evaluation of the effect of the treatment measures, and suggestions for subsequent improvements.

[0107] In this embodiment, the generated test analysis report will provide key insights to help users and operators understand the performance of the treatment equipment under test and guide them to make necessary adjustments. The report may include the following: a detailed description of the actual abnormal working conditions and the time of occurrence, the response time and compensation effect of the treatment equipment under test, the improvement of power quality after treatment, and a comprehensive evaluation of equipment performance and optimization suggestions.

[0108] As a preferred solution of this embodiment, the method for constructing the preset evaluation model includes:

[0109] Obtain sample data corresponding to the management stage data and post-management data during power management in the management equipment to be tested, as well as labeled data corresponding to the sample data; construct an initial preset evaluation model, use the sample data and the labeled data as training data for the initial preset evaluation model, respectively, train the initial preset evaluation model until the loss function of the initial preset evaluation model tends to fit, and obtain the final trained preset evaluation model.

[0110] In this embodiment, in order to build an evaluation model, it is first necessary to obtain sample data of the treatment equipment to be tested during the power treatment process. These sample data include real-time power parameters (such as voltage, current, frequency, harmonic content, etc.) in the treatment stage, as well as data on the system recovery state after treatment. At the same time, it is also necessary to obtain corresponding labeled data, that is, data labeled by experts or known results, to guide model learning. Before the sample data is used for training, it is necessary to preprocess it to improve the data quality and make it suitable for model training. The preprocessing steps may include data cleaning (removing outliers and noise), normalization (making the data on the same scale), feature engineering (extracting features that help model learning), etc. Build an initial preset evaluation model that can evaluate the effect of power treatment based on the data in the treatment stage and after treatment. This model may be based on machine learning algorithms, such as random forests, support vector machines, neural networks, etc., and the specific selection depends on the data characteristics and problem complexity. Then, the initial evaluation model is trained using the preprocessed sample data and labeled data. During the training process, the model gradually adjusts the internal parameters to reduce the prediction error by learning the characteristics of the sample data and the output of the labeled data. During the training process, the model's loss function (such as mean square error, cross entropy, etc.) is used to measure the difference between the predicted results and the actual annotations. The goal of training is to minimize this loss function so that the model's predictions are as close to the actual results as possible. During the model training process, the performance of the model needs to be evaluated regularly to ensure that it does not overfit (that is, it performs well on the training data, but performs poorly on unseen test data) or underfit (that is, the model is too simple to capture the complex relationships in the data). Model performance can be optimized through cross-validation, adjusting hyperparameters, and other methods. After multiple iterations of training and parameter adjustment, when the loss function tends to stabilize and the model's performance on the validation set reaches a satisfactory level, the final trained preset evaluation model can be obtained. The preset evaluation model can accurately evaluate the effect of power management and provide decision support for operators.

[0111] It is understandable that the preset evaluation model can accurately predict the effect of power management and provide reliable data support for subsequent equipment optimization. At the same time, the preset evaluation model has good generalization ability and can work stably under different grid conditions and management scenarios. Through the automated preset evaluation model evaluation, manual intervention is reduced, the evaluation efficiency and objectivity are improved, and it can continuously learn and adapt with the addition of new data to cope with changes in grid conditions for power quality management.

[0112] It can be understood that this embodiment constructs a transparent substation real platform with the ability to simulate the operation of a new intelligent distribution system, which can support the verification of intelligent substation power quality management applications under the background of a new power system, and has comprehensive simulation capabilities for power quality anomalies in the substation, such as abnormal voltage quality, three-phase imbalance, harmonic pollution, and photovoltaic reverse transmission, to support the verification of various power quality management application functions; at the same time, by building a real platform IoT intelligent monitoring system, a panoramic perception of the platform status and a transparent display of the test process are achieved, the test results are intuitively displayed, and the power quality management function verification is carried out in a real simulation manner, providing a systematic and real test environment, and the test results are highly reliable. The platform management system provides functions such as solution editing, parameter setting, and process management, which can achieve one-click generation of typical cases and improve test efficiency and ease of operation.

[0113] Implementing the above embodiments has the following effects:

[0114] The technical solution of the present invention can accurately and reliably build a platform for simulation operation by editing the test plan and setting the parameters of the transparent substation real platform and the verification scenario, so that it has the operation simulation capability of the new intelligent distribution system, and can support the verification of various power quality management application functions under the background of the new power system. At the same time, the Internet of Things is constructed to achieve panoramic perception of the platform status and transparent display of the test process, intuitively display the test effect, accurately and reliably collect and obtain the simulated data, provide a systematic real test environment, and the test results are highly reliable. Finally, the test results are analyzed to improve the test efficiency and ease of operation. At the same time, based on the terminal perception data collected by the Internet of Things platform, hierarchical analysis is automatically performed, which can improve the accuracy and efficiency of power quality analysis and improve the user's operating experience in power quality analysis and detection.

[0115] Embodiment 3

[0116] This embodiment is a preferred implementation scheme among embodiments 1 and 2.

[0117] As a preferred solution of this embodiment, the verification scenarios of the power quality management function include: voltage quality management function verification scenario, three-phase unbalance management function verification scenario, harmonic management function verification scenario and photovoltaic reverse transmission management function verification scenario.

[0118] In this embodiment, based on the transparent substation real platform, the operation characteristics of the intelligent substation in the new power system can be completely and realistically simulated, providing a real substation test environment for verifying the application functions of substation power quality management.

[0119] As a preferred solution of this embodiment, the parameter setting of the voltage quality management function verification scenario specifically includes:

[0120] An isolation transformer and a voltage regulator are combined to provide power supply for the overall transparent substation real platform. The substation voltage is controlled by setting the voltage regulator parameters, thereby generating and providing substation voltage fluctuation and overvoltage operation scenarios. The line impedance parameters are adjusted by the line simulation device to simulate different feeder lengths. Combined with the controllable simulated load in the platform, different feeder lengths and different loads are combined to reproduce the low-voltage operating conditions at the end of the substation. Based on the Internet of Things during low-voltage power distribution, the substation voltage is obtained in real time as the initial voltage data for the substation voltage fluctuation test, and the substation voltage changes during the test are continuously monitored as the test data under the monitored voltage quality management function verification scenario, thereby completing the setting of the voltage quality management function verification scenario.

[0121] In this embodiment, an isolation transformer and a voltage regulator are combined to power the entire real platform. The substation voltage is controlled by setting the voltage regulator parameters to provide substation voltage fluctuation and overvoltage operation scenarios. The line impedance parameters are adjusted by a line simulation device to simulate different feeder lengths. Combined with the controllable simulated load in the platform, different feeder lengths and different loads are combined to reproduce the low-voltage operating conditions at the end of the substation.

[0122] It should be noted that the voltage quality problems in the substation area are mainly concentrated in two aspects: voltage fluctuation, overvoltage and low voltage at the end. The transparent real-type experimental platform uses a combination of isolation transformer and voltage regulator to power the entire real-type platform. By setting the voltage regulator parameters, the substation voltage can be quickly and accurately controlled, providing substation voltage fluctuation and overvoltage operation scenarios. Low voltage at the end of the substation is usually caused by unreasonable configuration of the substation line length or feeder load. The line impedance parameters can be flexibly adjusted through the line simulation device in the real platform to simulate different feeder lengths. Combined with the controllable simulated load in the platform, different feeder lengths and different loads can be combined to truly reproduce the low-voltage operating conditions at the end of the substation.

[0123] As a preferred solution of this embodiment, the control of the station area voltage by setting the voltage regulator parameters specifically includes:

[0124] By adjusting the voltage regulator, the contact position between the brush and the coil in the voltage regulator is changed, thereby changing the turns ratio of the primary and secondary coils, and then adjusting the output voltage to control the console voltage.

[0125] In this embodiment, the three-phase voltage regulator is a contact auto-coupling voltage regulator, which is connected to the output end of the isolation transformer. After confirming that the wiring is reliable, the output voltage can be adjusted by adjusting the voltage regulator knob to change the contact position between the brush and the coil, thereby changing the primary and secondary coil turns ratio. The real platform can obtain the substation voltage in real time based on the low-voltage power distribution Internet of Things, which serves as the initial voltage data for the substation voltage fluctuation test, and continuously monitors the substation voltage change process during the test to verify the substation voltage fluctuation and overvoltage control effect.

[0126] As a preferred solution of this embodiment, the parameter setting of the three-phase unbalanced governance function verification scenario specifically includes:

[0127] Based on the test plan, the unbalanced degree of load in the substation is determined, and according to the unbalanced degree of load in the substation, a feed-type controllable simulated load is configured to set the three-phase power, so that the feeder of the transparent substation real platform operates in an unbalanced state; by configuring an intelligent phase-changing switch, the unbalanced state operation in the transparent substation real platform is managed, and a standardized interface is provided through the intelligent phase-changing switch, so that while demonstrating the three-phase unbalanced management, the equipment to be tested is connected and functionally tested, thereby completing the setting of the three-phase unbalanced management function verification scenario.

[0128] In this embodiment, the three-phase imbalance in the substation will increase the line and distribution transformer line losses, reduce the power supply operation efficiency, and may endanger the safety of the distribution transformer and the user's electrical equipment. The transparent substation real platform is equipped with a feed-type controllable simulated load with unbalanced operation capability, and the real platform feeder can be set to operate stably within a certain imbalance range. The intelligent phase-changing switch is a commonly used device for managing the three-phase imbalance in the substation. The real platform is equipped with an intelligent phase-changing switch and provides a standardized interface, which can carry out a three-phase imbalance management demonstration while facilitating the access of the switch equipment to be tested and the functional test.

[0129] In this embodiment, a feed-back controllable simulated load with unbalanced operation capability is configured in the transparent substation real platform. The feed-back controllable simulated load can independently set the ABC three-phase power, and can flexibly set a variety of substation load imbalances according to the specific needs of the three-phase unbalanced management function test, providing test scenarios with different powers and different imbalances for the intelligent phase-changing switch. An intelligent phase-changing switch is configured in the real distribution substation, and the intelligent phase-changing switch is a commonly used device for managing three-phase imbalance in the substation. After the real platform realizes the setting of the unbalanced operation state of the substation based on the feed-back controllable load, it communicates with the intelligent phase-changing switch, and controls the phase change of the substation load through the intelligent phase-changing switch, to ensure the overall three-phase balanced operation of the distribution substation and complete the demonstration of the three-phase unbalanced management function.

[0130] As a preferred solution of this embodiment, the parameter setting of the harmonic control function verification scenario specifically includes:

[0131] Based on the positive harmonic output of the energy-fed controllable simulated load, harmonics are injected into the power grid in the transparent substation real platform through energy feedback, so that the transparent substation real platform simulates the harmonic pollution scenario; based on the interface of the harmonic control device reserved in the substation, the equipment to be tested is connected, and the changes in the substation harmonics are monitored in real time through the Internet of Things of the substation power distribution, thereby completing the setting of the harmonic control function verification scenario.

[0132] In this embodiment, based on the harmonic output capability of the energy-fed controllable simulated load, harmonics are injected into the power grid through energy feedback, thereby realizing the simulation of typical harmonic pollution scenarios of the transparent substation real platform.

[0133] It should be noted that the energy-feedback controllable simulated load in the transparent substation real platform has the ability to output harmonics, and injects specific harmonics into the power grid through energy feedback, thereby realizing the simulation of typical harmonic pollution scenarios of the real platform.

[0134] In this embodiment, the energy-feedback controllable simulated load has a two-way energy flow function, can realize automatic seamless switching in forward and reverse directions, and supports customized generation of harmonics of different frequencies to be injected into the real platform, so as to realize the construction of harmonic pollution operation scenarios of different frequencies and contents in the substation. After completing the construction of the harmonic pollution scenario, the device to be tested is connected based on the reserved harmonic control device interface of the substation, and the harmonic changes in the substation are monitored in real time through the substation power distribution Internet of Things, completing the verification of the harmonic control function of the device to be tested.

[0135] As a preferred solution of this embodiment, the parameter setting of the photovoltaic reverse transmission control function verification scenario specifically includes:

[0136] Based on the test plan, the characteristics of the photovoltaic components that need to be simulated are determined, and by configuring the program-controlled simulated photovoltaic cells, the light intensity, temperature and shadow parameters corresponding to the special effects of the photovoltaic components are simulated; based on the photovoltaic inverter with active and reactive power output corresponding to the test plan, combined with the photovoltaic cells, a photovoltaic simulation system is constructed, and the photovoltaic output curve of the transparent substation real platform is set through the photovoltaic simulation system; combined with the preset load power curve in the substation, the simulation operation of the photovoltaic reverse transmission scenario from normal photovoltaic operation in the substation is realized; in the simulation operation process, the smart meters and smart sensors in the distribution substation are used to obtain the substation voltage, current and power generation data in real time as the test data in the photovoltaic reverse transmission management function verification scenario, thereby completing the setting of the photovoltaic reverse transmission management function verification scenario.

[0137] In this embodiment, by configuring programmable simulation photovoltaic cells, the characteristics of photovoltaic modules under different light intensities, different temperatures, and different shadows are simulated, and a photovoltaic curve editing function is set. The photovoltaic system is set to transition from a normal operating state to a photovoltaic reverse transmission state by presetting the photovoltaic characteristic curve, thereby providing a test field for verifying the photovoltaic reverse transmission control function.

[0138] It should be noted that the rapid development of new energy technologies has led to the access of a large number of distributed photovoltaics in low-voltage distribution substations. While it brings convenience to users, there is a hidden danger of photovoltaic reverse transmission. Photovoltaic reverse transmission is caused by factors such as shadows of photovoltaic power generation systems, uneven local illumination or temperature gradients, which causes the output voltage of photovoltaic modules to be lower than the voltage at the load end, causing the current to flow from the load end to the photovoltaic modules. Photovoltaic reverse transmission will cause the voltage at the load end of the substation to be too high and the bus voltage to be raised, which will have a serious impact on the power quality of the substation.

[0139] The program-controlled simulated photovoltaic cells configured in the real distribution station area can simulate the characteristics of photovoltaic modules under different light intensities, different temperatures, and different shadows, and support the photovoltaic curve editing function. By presetting the photovoltaic characteristic curve, the photovoltaic system can be set to transition from normal operation to photovoltaic reverse transmission state, providing a test scenario for verifying the photovoltaic reverse transmission control function.

[0140] In this embodiment, a high-power programmable photovoltaic simulation system is configured in the real distribution station area, including a programmable simulated photovoltaic cell and a photovoltaic inverter. The photovoltaic simulation cell can simulate the characteristics of photovoltaic modules under different light intensities, different temperatures, and different shadows; the photovoltaic inverter can set different active and reactive power outputs, and support power curve settings. Combined with the photovoltaic simulation cell, the operating characteristics of various photovoltaic power generation systems can be simulated in the real platform of the substation area. Based on the photovoltaic output curve set in the real platform by the photovoltaic simulation system, and in conjunction with the programmable simulated load power curve setting in the substation area, the photovoltaic power generation in the substation area can be flexibly coordinated with the load power in the substation area, and the real operation simulation from the normal operation of the photovoltaic substation area to the photovoltaic reverse transmission scene can be completed, providing a simulation of the photovoltaic reverse transmission management function verification scene. During the function verification process, the smart meters and smart sensors in the distribution station area obtain the voltage, current and power generation data of the substation area in real time, providing data support for evaluating the management effect.

[0141] Implementing the above embodiments has the following effects:

[0142] The technical solution of the present invention can accurately and reliably build a platform for simulation operation by editing the test plan and setting the parameters of the transparent substation real platform and the verification scenario, so that it has the operation simulation capability of the new intelligent distribution system, and can support the verification of various power quality management application functions under the background of the new power system. At the same time, the Internet of Things is constructed to achieve panoramic perception of the platform status and transparent display of the test process, intuitively display the test effect, accurately and reliably collect and obtain the simulated data, provide a systematic real test environment, and the test results are highly reliable. Finally, the test results are analyzed to improve the test efficiency and ease of operation. At the same time, based on the terminal perception data collected by the Internet of Things platform, hierarchical analysis is automatically performed, which can improve the accuracy and efficiency of power quality analysis and improve the user's operating experience in power quality analysis and detection.

[0143] Embodiment 4

[0144] based on Figure 2 The transparent platform architecture shown in FIG. 1 is a transparent platform composed of two interconnected areas. Figure 6 shown.

[0145] based on Figure 6 The transparent real-type platform of the substation shown above is used to verify the application function of three-phase imbalance and harmonic pollution control in the substation. The main implementation steps include:

[0146] (1) Experimental plan

[0147] Based on test requirements and Figure 6 The hardware configuration of the real platform is shown in the figure, and the required test topology modeling is determined as follows Figure 7 shown.

[0148] In the test topology, the three-phase simulated load Load1 has a rated power of 20kW; the single-phase simulated loads Load2~Load4 have a rated power of 3.3kW, which are respectively connected to the A, B, and C phases of the AC feeder; the reversing switch SB can be remotely exited through the software and connected to the reversing switch to be tested based on the platform's device interface to carry out verification of the three-phase imbalance control function.

[0149] (2) Experimental parameter design

[0150] Set Load1 to maintain normal operation first, with the three-phase load current of 20A. After running for 1 minute, switch to the three-phase unbalanced operation state, with the three-phase load currents of 10A for phase A, 30A for phase B, and 20A for phase C. Set the load current of the single-phase simulated loads Load2~Load4 to be maintained at 10A. Set the platform commutation switch SB to exit operation, and start the test after connecting the commutation switch SB' to be tested.

[0151] (3) Test data monitoring

[0152] During the test, the power quality monitoring equipment obtains the three-phase current data at the outlet T1 of the distribution transformer (including the voltage regulator) in real time, and transmits it to the IoT management platform through the intelligent gateway based on the substation IoT for data display and analysis; similarly, the switch SB' under test uploads its own switch status to the IoT platform in real time through the intelligent gateway.

[0153] (4) Analysis of test results

[0154] Based on the three-phase current data at T1 obtained by the IoT platform and the state data of the tested phase-changing switch SB', the three-phase unbalanced control function of the phase-changing switch can be analyzed. In this embodiment, it is mainly reflected in that after the three-phase simulated load enters the unbalanced operation state at 1 minute, the three-phase unbalanced current data will be detected at T1. At the same time, after the phase-changing switch SB' controller also obtains the three-phase unbalanced current of the feeder, it should trigger the phase-changing action without power outage, and switch the single-phase simulated load Load3 from phase B to phase A for operation, so that the detected three-phase current data at the transformer outlet T1 returns to a balanced state. By observing whether the phase-changing switch is activated and the action delay during the test, its three-phase unbalanced index control application function can be evaluated.

[0155] Implementing the above embodiments has the following effects:

[0156] (1) A transparent substation real-type platform has been built, which has the ability to simulate the operation of a new intelligent distribution system and can support the application verification of power quality management in intelligent substations under the background of a new power system;

[0157] (2) It has the ability to simulate comprehensive power quality anomalies in the substation, such as abnormal voltage quality, three-phase imbalance, harmonic pollution, and photovoltaic reverse transmission, and supports the functional verification of various power quality management applications;

[0158] (3) By building a real-type platform IoT intelligent monitoring system, we can achieve panoramic perception of the platform status and transparent display of the test process, and intuitively display the test results;

[0159] (4) Use real-life simulation to verify the power quality management function, provide a systematic and real test environment, and ensure that the test results are highly reliable;

[0160] (5) Based on the platform management system, it provides functions such as program editing, parameter setting, and process management, which can realize one-click generation of typical cases and improve test efficiency and ease of operation.

[0161] Embodiment 5

[0162] See also Figure 8, which is a power quality management application verification device provided by the present invention, used for a transparent substation real-type platform, including: a scheme editing module 201, a parameter setting module 202, a data monitoring module 203 and a result analysis module 204;

[0163] The scheme editing module 201 is used to edit and generate a test scheme according to the test requirements and in combination with the transparent real-type platform of the area; wherein the test scheme includes: the treatment equipment to be tested or the treatment method to be evaluated, and the transparent real-type platform of the area is used to provide verification scenarios of several types of power quality treatment functions;

[0164] The parameter setting module 202 is used to set the parameters of the transparent platform and the verification scenario according to the test plan;

[0165] The data monitoring module 203 is used to test the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and the intelligent sensing terminal in the transparent area real platform after parameter setting, and monitor the test data during the test to obtain the terminal sensing data;

[0166] The result analysis module 204 is used to analyze and evaluate the test results of the governance device to be tested or the governance method to be evaluated based on the terminal perception data through the Internet of Things platform, and generate a test analysis report.

[0167] As a preferred solution, the test plan is edited and generated according to the test requirements and in combination with the transparent platform, specifically including:

[0168] Analyze the test requirements, determine the type of power quality problems that need to be simulated, and obtain the test type;

[0169] Based on the test requirements and the configuration of the transparent platform, the test topology modeling is performed to confirm the source-load equipment and data acquisition equipment required in the test topology;

[0170] Based on the test requirements, determine the degree of power quality abnormality required to be simulated in the test, and determine the test data to be monitored;

[0171] According to the abnormal degree of electric energy and the test data to be monitored, a typical verification scenario is compiled, and a test result analysis process is set, so as to plan the test implementation process in combination with the typical verification scenario and determine the test execution steps;

[0172] The test type and the corresponding edited test topology, the test data to be monitored, the typical verification scenario and the test execution steps are pre-stored as a typical implementation case as the edited and generated test plan.

[0173] As a preferred solution, the parameter setting of the transparent platform and the parameter setting of the verification scenario according to the test plan specifically includes:

[0174] According to the platform grid configuration of the test topology in the test scheme, a real platform test topology grid that meets the test requirements is constructed, and the corresponding governance equipment to be tested is connected and initialized, thereby completing the parameter setting of the transparent platform real platform;

[0175] According to the source-load equipment and data acquisition equipment required for the test topology in the test plan and the test data to be monitored, combined with the corresponding connected and initialized test equipment, the parameters of the verification scenario are set; wherein the test equipment is connected to the grid and operated together with different abnormal power quality operating conditions simulations.

[0176] As a preferred solution, the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and intelligent sensing terminal in the transparent area real platform after parameter setting is tested, and test data is monitored during the test to obtain terminal sensing data, specifically including:

[0177] The connected and initialized management equipment to be tested after parameter setting is used as an intelligent sensing terminal, and connected to each corresponding intelligent switch respectively, and the corresponding intelligent gateway is set for each connected intelligent switch, so as to build an Internet of Things platform;

[0178] After the Internet of Things platform is built, based on the test plan and the simulation of different abnormal power quality operating conditions corresponding to the equipment to be tested, the power management test of the transparent substation real platform is carried out; wherein, the power management test includes the simulation stage of abnormal power quality operating conditions and the management stage;

[0179] Based on the intelligent sensing terminal and power quality analyzer in the Internet of Things platform, test data monitoring is performed during the test process, so as to sense and collect key equipment status and key node parameters in real time, and collect them as terminal sensing data to the intelligent gateway; wherein the terminal sensing data includes abnormal stage data, governance stage data and post-governance data;

[0180] The terminal perception data collected at the intelligent gateway is directly forwarded or forwarded to the Internet of Things platform after edge computing, so as to perform data display and advanced application analysis.

[0181] As a preferred solution, the IoT platform analyzes and evaluates the test results of the governance equipment to be tested or the governance method to be evaluated according to the terminal perception data, and generates a test analysis report, which specifically includes:

[0182] Through the Internet of Things platform, the actual scene is analyzed based on the collected terminal perception data;

[0183] Verify and compare the actual scenario with the verification scenario, and when the actual scenario is consistent with the verification scenario, analyze the abnormal phase data in the terminal perception data to obtain the corresponding actual abnormal working condition, and determine the actual perception device;

[0184] If the actual sensing device corresponds to the control device to be tested, and the actual abnormal operating condition of the actual sensing device is the same as the abnormal power quality operating condition corresponding to the control device to be tested, the control stage data and the post-control data in the terminal sensing data are analyzed, and according to the preset evaluation model, the control stage data and the post-control data are automatically analyzed, so as to automatically generate a test analysis report.

[0185] As a preferred solution, the method for constructing the preset evaluation model includes:

[0186] Acquire sample data corresponding to management stage data and post-management data during power management in the management device to be tested, as well as annotation data corresponding to the sample data;

[0187] An initial preset evaluation model is constructed, and the sample data and the labeled data are respectively used as training data of the initial preset evaluation model. The initial preset evaluation model is trained until the loss function of the initial preset evaluation model tends to be fitted, thereby obtaining a final trained preset evaluation model.

[0188] As a preferred solution, the transparent substation true platform includes: key equipment of traditional distribution substations, new distribution substation equipment, power quality management areas for accessing power quality management equipment through standardized interfaces, and intelligent gateways for IoT networking of various smart switches and smart sensing terminals in the substation.

[0189] As a preferred solution, the verification scenarios of the power quality management function include: voltage quality management function verification scenario, three-phase unbalance management function verification scenario, harmonic management function verification scenario and photovoltaic reverse transmission management function verification scenario.

[0190] As a preferred solution, the parameter setting of the voltage quality management function verification scenario specifically includes:

[0191] The overall transparent substation real platform power supply is carried out by combining an isolation transformer and a voltage regulator. The substation voltage is controlled by setting the voltage regulator parameters, thereby generating and providing substation voltage fluctuation and overvoltage operation scenarios;

[0192] The line impedance parameters are adjusted through the line simulation device to simulate different feeder lengths. Combined with the controllable simulated load in the platform, different feeder lengths and different loads are combined to reproduce the low-voltage operating conditions at the end of the substation.

[0193] Based on the Internet of Things during low-voltage power distribution, the substation voltage is obtained in real time as the initial voltage data for the substation voltage fluctuation test, and the substation voltage changes during the test are continuously monitored as the test data for the monitored voltage quality management function verification scenario, thereby completing the setting of the voltage quality management function verification scenario.

[0194] As a preferred solution, the control of the station area voltage by setting the voltage regulator parameters specifically includes:

[0195] By adjusting the voltage regulator, the contact position between the brush and the coil in the voltage regulator is changed, thereby changing the turns ratio of the primary and secondary coils, and then adjusting the output voltage to control the console voltage.

[0196] As a preferred solution, the parameter setting of the three-phase unbalanced governance function verification scenario specifically includes:

[0197] Based on the test scheme, the unbalance degree of load in the substation is determined, and according to the unbalance degree of load in the substation, a feed-type controllable simulated load is configured to set the three-phase power, so that the feeder of the transparent substation real platform operates in an unbalanced state;

[0198] By configuring an intelligent phase-changing switch, the imbalance state operation in the transparent substation real platform is managed, and a standardized interface is provided through the intelligent phase-changing switch, so that the three-phase imbalance management demonstration can be carried out while the equipment to be tested is connected and functionally tested, thereby completing the setting of the three-phase imbalance management function verification scenario.

[0199] As a preferred solution, the parameter setting of the harmonic control function verification scenario specifically includes:

[0200] Based on the positive harmonic output of the energy-feedback controllable simulated load, harmonics are injected into the power grid in the transparent real-type platform through energy feedback, so that the transparent real-type platform simulates the harmonic pollution scenario;

[0201] The device to be tested is connected to the interface of the harmonic control device reserved in the substation, and the changes in the harmonics in the substation are monitored in real time through the Internet of Things of the substation power distribution, thereby completing the setting of the harmonic control function verification scenario.

[0202] As a preferred solution, the parameter setting of the photovoltaic reverse transmission management function verification scenario specifically includes:

[0203] Based on the test plan, the characteristics of the photovoltaic module to be simulated are determined, and the light intensity, temperature and shadow parameters corresponding to the special effects of the photovoltaic module are simulated by configuring the program-controlled simulated photovoltaic cells;

[0204] Based on the photovoltaic inverter with active and reactive power output corresponding to the test scheme, in combination with the photovoltaic cell, a photovoltaic simulation system is constructed, and the photovoltaic output curve of the transparent real platform is set by the photovoltaic simulation system;

[0205] Combined with the preset load power curve in the substation, the simulation operation from the normal operation of the photovoltaic substation to the photovoltaic reverse transmission scenario can be realized;

[0206] During the simulation operation, the smart meters and smart sensors in the distribution station area are used to obtain the voltage, current and power generation data of the distribution station area in real time as test data for the photovoltaic reverse transmission management function verification scenario, thereby completing the setting of the photovoltaic reverse transmission management function verification scenario.

[0207] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0208] Implementing the above embodiments has the following effects:

[0209] The technical solution of the present invention can accurately and reliably build a platform for simulation operation by editing the test plan and setting the parameters of the transparent substation real platform and the verification scenario, so that it has the operation simulation capability of the new intelligent distribution system, and can support the verification of various power quality management application functions under the background of the new power system. At the same time, the Internet of Things is constructed to achieve panoramic perception of the platform status and transparent display of the test process, intuitively display the test effect, accurately and reliably collect and obtain the simulated data, provide a systematic real test environment, and the test results are highly reliable. Finally, the test results are analyzed to improve the test efficiency and ease of operation. At the same time, based on the terminal perception data collected by the Internet of Things platform, hierarchical analysis is automatically performed, which can improve the accuracy and efficiency of power quality analysis and improve the user's operating experience in power quality analysis and detection.

[0210] Embodiment 6

[0211] Correspondingly, the present invention also provides a terminal device, comprising: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the power quality management application verification method described in any one of the above embodiments is implemented.

[0212] The terminal device of this embodiment includes: a processor, a memory, and a computer program and a computer instruction stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above-mentioned embodiment 1 is implemented, for example: Figure 1 Alternatively, the processor implements the functions of each module / unit in the above device embodiment, such as the data monitoring module 203, when executing the computer program.

[0213] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can perform specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device. For example, the data monitoring module 203 is used to test the Internet of Things platform constructed by the smart gateway, each smart switch and the smart sensing terminal in the transparent area true platform after parameter setting, and monitor the test data during the test to obtain terminal perception data.

[0214] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. The terminal device may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the terminal device may also include an input / output device, a network access device, a bus, etc.

[0215] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0216] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc.; the data storage area can store data created according to the use of the mobile terminal, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0217] Wherein, if the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0218] Embodiment 7

[0219] Correspondingly, the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power quality management application verification method described in any one of the above embodiments.

[0220] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0221] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0222] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0223] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0224] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for verifying the application of power quality management, characterized in that: This is achieved through a transparent platform, including: According to the test requirements and in combination with the transparent real-type platform, a test plan is edited and generated; wherein the test plan includes: the treatment equipment to be tested or the treatment method to be evaluated, and the transparent real-type platform is used to provide verification scenarios for several types of power quality treatment functions; According to the test plan, setting the parameters of the transparent platform and the verification scenario; Test the IoT platform constructed by the smart gateway, smart switches and smart sensing terminals in the transparent area real platform after parameter setting, and monitor the test data during the test to obtain terminal sensing data; Through the Internet of Things platform, the test results of the governance equipment to be tested or the governance method to be evaluated are analyzed and evaluated according to the terminal perception data, and a test analysis report is generated.

2. A method for verifying the application of power quality management according to claim 1, characterized in that: The test plan is edited and generated according to the test requirements and in combination with the transparent platform, specifically including: Analyze the test requirements, determine the type of power quality problems that need to be simulated, and obtain the test type; Based on the test requirements and the configuration of the transparent platform, the test topology modeling is performed to confirm the source-load equipment and data acquisition equipment required in the test topology; Based on the test requirements, determine the degree of power quality abnormality required to be simulated in the test, and determine the test data to be monitored; According to the abnormal degree of electric energy and the test data to be monitored, a typical verification scenario is compiled, and a test result analysis process is set, so as to plan the test implementation process in combination with the typical verification scenario and determine the test execution steps; The test type and the corresponding edited test topology, the test data to be monitored, the typical verification scenario and the test execution steps are pre-stored as a typical implementation case as the edited and generated test plan.

3. A method for verifying the application of power quality management according to claim 2, characterized in that: According to the test plan, the parameter setting of the transparent platform and the parameter setting of the verification scene specifically include: According to the platform grid configuration of the test topology in the test scheme, a real platform test topology grid that meets the test requirements is constructed, and the corresponding governance equipment to be tested is connected and initialized, thereby completing the parameter setting of the transparent platform real platform; According to the source-load equipment and data acquisition equipment required for the test topology in the test plan and the test data to be monitored, combined with the corresponding connected and initialized test equipment, the parameters of the verification scenario are set; wherein the test equipment is connected to the grid and operated together with different abnormal power quality operating conditions simulations.

4. A method for verifying the application of power quality management according to claim 3, characterized in that: The Internet of Things platform constructed by the intelligent gateway, each intelligent switch and the intelligent sensing terminal in the transparent area real platform after parameter setting is tested, and the test data is monitored during the test to obtain the terminal sensing data, specifically including: The connected and initialized management equipment to be tested after parameter setting is used as an intelligent sensing terminal, and connected to each corresponding intelligent switch respectively, and the corresponding intelligent gateway is set for each connected intelligent switch, so as to build an Internet of Things platform; After the Internet of Things platform is built, based on the test plan and the simulation of different abnormal power quality operating conditions corresponding to the equipment to be tested, the power management test of the transparent substation real platform is carried out; wherein, the power management test includes the simulation stage of abnormal power quality operating conditions and the management stage; Based on the intelligent sensing terminal and power quality analyzer in the Internet of Things platform, test data monitoring is performed during the test process, so as to sense and collect key equipment status and key node parameters in real time, and collect them as terminal sensing data to the intelligent gateway; wherein the terminal sensing data includes abnormal stage data, governance stage data and post-governance data; The terminal perception data collected at the intelligent gateway is directly forwarded or forwarded to the Internet of Things platform after edge computing, so as to perform data display and advanced application analysis.

5. A method for verifying the application of power quality management according to claim 4, characterized in that: The IoT platform analyzes and evaluates the test results of the governance device to be tested or the governance method to be evaluated according to the terminal perception data, and generates a test analysis report, specifically including: Through the Internet of Things platform, the actual scene is analyzed based on the collected terminal perception data; Verify and compare the actual scenario with the verification scenario, and when the actual scenario is consistent with the verification scenario, analyze the abnormal phase data in the terminal perception data to obtain the corresponding actual abnormal working condition, and determine the actual perception device; If the actual sensing device corresponds to the control device to be tested, and the actual abnormal operating condition of the actual sensing device is the same as the abnormal power quality operating condition corresponding to the control device to be tested, the control stage data and the post-control data in the terminal sensing data are analyzed, and according to the preset evaluation model, the control stage data and the post-control data are automatically analyzed, so as to automatically generate a test analysis report.

6. A method for verifying the application of power quality management according to claim 5, characterized in that: The method for constructing the preset evaluation model comprises: Acquire sample data corresponding to management stage data and post-management data during power management in the management device to be tested, as well as annotation data corresponding to the sample data; An initial preset evaluation model is constructed, and the sample data and the labeled data are respectively used as training data of the initial preset evaluation model. The initial preset evaluation model is trained until the loss function of the initial preset evaluation model tends to be fitted, thereby obtaining a final trained preset evaluation model.

7. A method for verifying the application of power quality management according to any one of claims 1 to 6, characterized in that: The transparent substation real platform includes: key equipment of traditional distribution substations, new distribution substation equipment, power quality management areas for accessing power quality management equipment through standardized interfaces, and smart gateways for IoT networking of smart switches and smart sensing terminals in the substation.

8. A method for verifying the application of power quality management according to any one of claims 1 to 6, characterized in that: The verification scenarios of the power quality management function include: voltage quality management function verification scenario, three-phase imbalance management function verification scenario, harmonic management function verification scenario and photovoltaic reverse transmission management function verification scenario.

9. A method for verifying the application of power quality management according to claim 8, characterized in that: The parameter settings of the voltage quality management function verification scenario specifically include: The overall transparent substation real platform power supply is carried out by combining an isolation transformer and a voltage regulator. The substation voltage is controlled by setting the voltage regulator parameters, thereby generating and providing substation voltage fluctuation and overvoltage operation scenarios; The line impedance parameters are adjusted through the line simulation device to simulate different feeder lengths. Combined with the controllable simulated load in the platform, different feeder lengths and different loads are combined to reproduce the low-voltage operating conditions at the end of the substation. Based on the Internet of Things during low-voltage power distribution, the substation voltage is obtained in real time as the initial voltage data for the substation voltage fluctuation test, and the substation voltage changes during the test are continuously monitored as the test data for the monitored voltage quality management function verification scenario, thereby completing the setting of the voltage quality management function verification scenario.

10. A method for verifying the application of power quality management according to claim 9, characterized in that: The control of the station area voltage by setting the voltage regulator parameters specifically includes: By adjusting the voltage regulator, the contact position between the brush and the coil in the voltage regulator is changed, thereby changing the turns ratio of the primary and secondary coils, and then adjusting the output voltage to control the console voltage.

11. A method for verifying the application of power quality management according to claim 8, characterized in that: The parameter settings of the three-phase unbalanced governance function verification scenario specifically include: Based on the test scheme, the unbalance degree of load in the substation is determined, and according to the unbalance degree of load in the substation, a feed-type controllable simulated load is configured to set the three-phase power, so that the feeder of the transparent substation real platform operates in an unbalanced state; By configuring an intelligent phase-changing switch, the imbalance state operation in the transparent substation real platform is managed, and a standardized interface is provided through the intelligent phase-changing switch, so that the three-phase imbalance management demonstration can be carried out while the equipment to be tested is connected and functionally tested, thereby completing the setting of the three-phase imbalance management function verification scenario.

12. A method for verifying power quality management application according to claim 8, characterized in that: The parameter settings of the harmonic control function verification scenario specifically include: Based on the positive harmonic output of the energy-feedback controllable simulated load, harmonics are injected into the power grid in the transparent real-type platform through energy feedback, so that the transparent real-type platform simulates the harmonic pollution scenario; The device to be tested is connected to the interface of the harmonic control device reserved in the substation, and the changes in the harmonics in the substation are monitored in real time through the Internet of Things of the substation power distribution, thereby completing the setting of the harmonic control function verification scenario.

13. A method for verifying power quality management application according to claim 8, characterized in that: The parameter settings of the photovoltaic reverse transmission control function verification scenario specifically include: Based on the test plan, the characteristics of the photovoltaic module to be simulated are determined, and the light intensity, temperature and shadow parameters corresponding to the special effects of the photovoltaic module are simulated by configuring the program-controlled simulated photovoltaic cells; Based on the photovoltaic inverter with active and reactive power output corresponding to the test scheme, in combination with the photovoltaic cell, a photovoltaic simulation system is constructed, and the photovoltaic output curve of the transparent real platform is set by the photovoltaic simulation system; Combined with the preset load power curve in the substation, the simulation operation from the normal operation of the photovoltaic substation to the photovoltaic reverse transmission scenario can be realized; During the simulation operation, the smart meters and smart sensors in the distribution station area are used to obtain the voltage, current and power generation data of the distribution station area in real time as the test data for the photovoltaic reverse transmission management function verification scenario, thereby completing the setting of the photovoltaic reverse transmission management function verification scenario.

14. A power quality management application verification device, characterized in that: The real platform for transparent table area includes: program editing module, parameter setting module, data monitoring module and result analysis module; The scheme editing module is used to edit and generate a test scheme according to the test requirements and in combination with the transparent real-type platform of the substation; wherein the test scheme includes: the treatment equipment to be tested or the treatment method to be evaluated, and the transparent real-type platform of the substation is used to provide verification scenarios of several types of power quality treatment functions; The parameter setting module is used to set the parameters of the transparent platform and the verification scenario according to the test plan; The data monitoring module is used to test the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and the intelligent sensing terminal in the transparent area real platform after parameter setting, and monitor the test data during the test to obtain the terminal sensing data; The result analysis module is used to analyze and evaluate the test results of the governance equipment to be tested or the governance method to be evaluated based on the terminal perception data through the Internet of Things platform, and generate a test analysis report.

15. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the power quality management application verification method as described in any one of claims 1 to 13.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power quality management application verification method as described in any one of claims 1 to 13.

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