A power quality treatment application verification method, device, equipment and storage medium

By combining a transparent distribution area simulation platform with an IoT platform, the reliability and testing efficiency issues of power quality management verification in new smart distribution networks have been resolved. This has enabled accurate simulation and efficient analysis of power quality problems, thereby improving the effectiveness of power quality management.

CN119671057BActive Publication Date: 2025-11-28GUANGDONG ELECTRIC POWER SCI RES INST ENERGY TECH CO LTD
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Patent Information

Application Number
CN202411937248.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-11-28
Estimated Expiration
2044-12-26

AI Technical Summary

Technical Problem

Existing technologies cannot effectively simulate power quality problems in new smart distribution networks, resulting in low reliability of power quality governance application verification platforms and methods. They are difficult to effectively test and verify before actual grid connection and operation, and the richness and convenience of test scenarios are insufficient.

Method used

Through the transparent transformer substation simulation platform, test plans are edited and generated, parameters are set, and power quality management function verification scenarios are simulated. The Internet of Things platform is used to monitor and analyze test data and generate test analysis reports.

Benefits of technology

It enables accurate simulation operation of new smart distribution networks, improves the reliability and testing efficiency of power quality management application verification, and enhances the accuracy and user experience of power quality analysis.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application discloses a power quality treatment application verification method, device and equipment and a storage medium, and is realized through a transparent transformer area real model platform. The method comprises the following steps: generating a test scheme according to test requirements and in combination with the transparent transformer area real model platform; setting parameters of the transparent transformer area real model platform and parameters of the verification scene according to the test scheme; testing an internet-of-things platform constructed by an intelligent gateway, intelligent switches and intelligent sensing terminals in the transparent transformer area real model platform after the parameter setting, and monitoring test data in the test process to obtain terminal sensing data; analyzing and evaluating test results of a to-be-tested treatment device or a to-be-evaluated treatment method according to the terminal sensing data through the internet-of-things platform, and generating a test analysis report. The application solves the technical problems of low reliability of an existing power quality treatment application verification platform and method and low power quality level of a transformer area.
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Description

TECHNICAL FIELD

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

[0002] With the rapid development of new energy technology and power electronics technology, a large number of distributed power sources and power electronic devices are connected to the distribution area, which reduces the inertia of the distribution area system and increases the uncertainty, seriously affecting the power quality of the distribution area. In order to ensure the safe and stable operation of the new distribution area, a reliable power quality treatment method is particularly important.

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

[0004] However, the existing technical scheme for power quality treatment application verification provides a test environment required for power quality treatment application verification by constructing a simplified distribution network model and simulating power quality interference of the distribution network, which has the following disadvantages: 1) in terms of reliability of test results, since the distribution network model constructed by the existing technical scheme is simulated for traditional distribution networks, it does not have key elements such as distributed power sources and AC / DC charging piles in new intelligent distribution networks, and it is also unable to construct typical scenarios of 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 richness of test scenarios, due to the limitation of platform elements, the existing technical scheme is difficult to reliably simulate scenarios for power quality treatment applications such as three-phase imbalance of the distribution area and voltage drop at the end; 3) in terms of test convenience and ease of use, the existing technical scheme does not design the specific test processes such as test scenario arrangement, data collection and result analysis in a standardized manner, and the test efficiency is low. Therefore, a reliable power quality treatment application verification platform and method are urgently needed to effectively improve the power quality level of the distribution area. SUMMARY

[0005] Therefore, the first aspect of the present application provides a power quality treatment application verification method, device, equipment and storage medium to solve the technical problems of low reliability of the power quality treatment application verification platform and method in the prior art and low power quality level of the distribution area.

[0006] In order to solve the above technical problems, the embodiment of the present application provides a power quality treatment application verification method, which is realized through a transparent transformer area real model platform, and comprises the following steps:

[0007] According to the test requirements and in combination with the transparent transformer area real model platform, a test scheme is edited and generated, wherein the test scheme comprises a to-be-tested treatment device or a to-be-evaluated treatment method, and the transparent transformer area real model platform is used to provide verification scenes of several types of power quality treatment functions;

[0008] According to the test scheme, parameters of the transparent transformer area real model platform and parameters of the verification scenes are set;

[0009] The Internet of Things platform constructed by the intelligent gateway, the intelligent switches and the intelligent sensing terminal in the transparent transformer area real model platform after the parameter setting is tested, and test data monitoring is performed during the test to obtain terminal sensing data;

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

[0011] As a preferred scheme, the editing and generation of the test scheme according to the test requirements and in combination with the transparent transformer area real model platform specifically comprises the following steps:

[0012] The test requirements are analyzed to determine the types of power quality problems that need to be simulated, and a test type is obtained;

[0013] Test topology modeling is performed based on the test requirements and the configuration of the transparent transformer area real model platform, so as to confirm the source-load devices and data acquisition devices that need to be input in the test topology;

[0014] Based on the test requirements, the degree of power quality abnormality that needs to be simulated in the test is determined, and test data to be monitored is determined;

[0015] According to the degree of power quality abnormality and the test data to be monitored, a typical verification scene is edited and obtained, and a test result analysis process is set, so as to plan a test implementation process in combination with the typical verification scene and determine test execution steps;

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

[0017] As a preferred scheme, the setting of the parameters of the transparent transformer area real model platform and the parameters of the verification scenes according to the test scheme specifically comprises the following steps:

[0018] According to the platform network configuration of the test topology in the test scheme, a real platform test topology network frame meeting the test requirements is constructed, and the corresponding to-be-tested management equipment is accessed and initialized, so that the parameter setting of the transparent substation real platform is completed;

[0019] According to the source-load equipment and data acquisition equipment required by the test topology in the test scheme and the test data to be monitored, in combination with the to-be-tested management equipment accessed and initialized, the parameter setting of the verification scene is performed; wherein the to-be-tested management equipment is hung together with different abnormal operation condition simulation of power quality.

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

[0021] The to-be-tested management equipment accessed and initialized after parameter setting is connected to each corresponding intelligent switch as an intelligent sensing terminal, and each connected intelligent switch is connected to the corresponding intelligent gateway, thereby constructing an Internet of Things platform;

[0022] After the Internet of Things platform is constructed, based on the test scheme and different abnormal operation condition simulation of power quality corresponding to the to-be-tested management equipment, an electric energy management test of the transparent substation real platform is performed; wherein the electric energy management test includes an abnormal operation condition simulation stage and a management stage;

[0023] Based on the intelligent sensing terminal in the Internet of Things platform and the power quality analyzer, test data monitoring is performed during the test, so as to realize real-time sensing and collection of key equipment states and key node parameters, and the terminal sensing data is collected to the intelligent gateway; wherein the terminal sensing data includes abnormal stage data, management stage data and post-management data;

[0024] The terminal sensing data collected to 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 scheme, the test results of the to-be-tested management equipment or the to-be-evaluated management method are analyzed and evaluated according to the terminal sensing data through the Internet of Things platform, and a test analysis report is generated, specifically including:

[0026] According to the collected terminal sensing data, the actual scene is analyzed through the Internet of Things platform;

[0027] The actual scene is verified and compared with the verification scene, when the actual scene is consistent with the verification scene, the abnormal stage data in the terminal perception data is analyzed, the corresponding actual abnormal working condition is obtained, and the actual perception device is judged;

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

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

[0030] Obtaining sample data corresponding to governance stage data and post-governance data when the to-be-tested governance device performs power governance, and label data corresponding to the sample data;

[0031] An initial preset evaluation model is constructed, the sample data and the label data are taken as training data of the initial preset evaluation model respectively, the initial preset evaluation model is trained until the loss function of the initial preset evaluation model tends to be fitted, and finally a preset evaluation model after training is obtained.

[0032] As a preferred solution, the transparent distribution area true type platform comprises: a traditional power distribution area key equipment, a new type power distribution area equipment, a power quality governance area for accessing a power quality governance device through a standardized interface, and a smart gateway for networking the intelligent switches and intelligent sensing terminals in the distribution area.

[0033] As a preferred solution, the power quality governance function verification scene comprises: a voltage quality governance function verification scene, a three-phase imbalance governance function verification scene, a harmonic governance function verification scene, and a photovoltaic reverse delivery governance function verification scene.

[0034] As a preferred solution, the parameter setting of the voltage quality governance function verification scene specifically comprises:

[0035] The overall transparent distribution area true type platform is powered by a combination of an isolation transformer and a voltage regulator, the voltage regulator parameters are set to control the distribution area voltage, thereby generating and providing distribution area voltage fluctuation and overvoltage operation scenes;

[0036] The line impedance parameters are adjusted by the line simulation device to simulate different feeder lengths, and the combination of different feeder lengths and different loads is performed in combination with the controllable simulation load in the platform, thereby reproducing the low voltage operation working condition at the end of the distribution area;

[0037] Based on the Internet of Things in low-voltage power distribution, the real-time acquisition of the transformer area voltage is used as the initial voltage data of the transformer area voltage fluctuation test, and the change of the transformer area voltage during the test is continuously monitored as the test data in the voltage quality management function verification scene, so as to complete the setting of the voltage quality management function verification scene.

[0038] As a preferred solution, the transformer area voltage is controlled by setting the voltage regulator parameters, specifically including:

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

[0040] As a preferred solution, the parameter setting of the three-phase imbalance management function verification scene specifically includes:

[0041] Based on the test scheme, the transformer area load imbalance degree is determined, and according to the transformer area load imbalance degree, the feedable controllable simulation load is configured to set the three-phase power, so that the feeder of the transparent transformer area real platform runs in an imbalance state;

[0042] By configuring an intelligent phase-change switch, the imbalance state running in the transparent transformer area real platform is managed, and the intelligent phase-change switch is used to provide a standardized interface, so as to demonstrate three-phase imbalance management while accessing and testing the to-be-tested equipment, thereby completing the setting of the three-phase imbalance management function verification scene.

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

[0044] Based on the positive direction harmonic output of the feedable controllable simulation load, the harmonic is injected into the power grid in the transparent transformer area real platform through an energy feedback mode, so that the transparent transformer area real platform simulates the scene of harmonic pollution;

[0045] Based on the interface of the transformer area reserved harmonic management device accessing the to-be-tested equipment, and through the Internet of Things of the transformer area power distribution, the change of the transformer area harmonic is monitored in real time, thereby completing the setting of the harmonic management function verification scene.

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

[0047] Based on the test scheme, the required simulated photovoltaic component characteristics are determined, and by configuring a program-controlled simulation photovoltaic cell, the light intensity, temperature and shadow parameters corresponding to the photovoltaic component characteristics are simulated;

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

[0049] In combination with the preset load power curve in the distribution area, the simulation operation of the normal operation of the distribution area photovoltaic to the photovoltaic reverse sending scene is realized.

[0050] In the simulation operation process, the voltage, current and power generation data in the distribution area are obtained in real time through the smart meter and the intelligent sensor in the distribution area, as the test data in the photovoltaic reverse sending governance function verification scene, so that the photovoltaic reverse sending governance function verification scene is set.

[0051] Correspondingly, the application also provides an electric energy quality governance application verification device for a transparent distribution area true 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 for editing and generating a test scheme according to test requirements and in combination with the transparent distribution area true platform, wherein the test scheme comprises a to-be-tested governance device or a to-be-evaluated governance method, and the transparent distribution area true platform is used for providing a verification scene of several types of electric energy quality governance functions.

[0053] The parameter setting module is used for setting parameters of the transparent distribution area true platform and parameters of the verification scene according to the test scheme.

[0054] The data monitoring module is used for testing an Internet of Things platform constructed by an intelligent gateway, each intelligent switch and an intelligent sensing terminal in the transparent distribution area true platform after parameter setting, and monitoring test data in the test process to obtain terminal sensing data.

[0055] The result analysis module is used for analyzing and evaluating the test result of the to-be-tested governance device 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.

[0056] Correspondingly, the application 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 the processor realizes the electric energy quality governance application verification method according to any one of the above when executing the computer program.

[0057] Correspondingly, the application also provides a computer readable storage medium comprising a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute the power quality treatment application verification method according to any one of the above when the computer program runs.

[0058] Compared with the prior art, the embodiment of the application has the following beneficial effects:

[0059] The technical scheme of the application can accurately and reliably build a platform for simulation running by editing the test scheme and setting parameters of the transparentized real-type platform and verifying the scene parameters, so that the platform has the operation simulation capability of the new-type intelligent power distribution system, can support the verification of various power quality treatment application functions under the background of the new-type power system, and can realize panoramic perception of the platform state and transparent display of the test process, intuitively display the test effect, accurately and reliably collect and acquire the simulated data, provide a systematic real test environment, and the test result has high reliability. Finally, the test result is analyzed, the test efficiency and the ease of operation are improved, hierarchical analysis is automatically performed based on the terminal perception data collected by the Internet of Things platform, the accuracy and efficiency of power quality analysis are improved, and the operation experience of the user in power quality analysis and detection is improved. BRIEF DESCRIPTION OF DRAWINGS

[0060] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0061] Figure 1 : a step flow chart of a power quality treatment application verification method provided by the embodiment of the application;

[0062] Figure 2 : a test implementation flowchart provided by the embodiment of the application;

[0063] Figure 3 : a low-voltage real-type power distribution area architecture diagram provided by the embodiment of the application;

[0064] Figure 4 : a smart gateway data transmission flowchart provided by the embodiment of the application;

[0065] Figure 5 : a real-type platform intelligent monitoring system structure diagram provided by the embodiment of the application;

[0066] Figure 6 This is a schematic diagram of a real-world platform architecture for an implementation example provided in this invention.

[0067] Figure 7 : A schematic diagram of an implementation test topology provided in an embodiment of the present invention;

[0068] Figure 8 : This is a structural diagram of the power quality management application verification device provided in an embodiment of the present invention. Detailed Implementation

[0069] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0070] Example 1

[0071] Please refer to Figure 1 The present invention provides a power quality management application verification method, which is implemented through a transparent transformer substation real-model platform, and includes the following steps S101-S104:

[0072] Step S101: Based on the test requirements and in conjunction with the transparent transformer substation model platform, edit and generate a test plan; wherein, the test plan includes: the treatment equipment to be tested or the treatment method to be evaluated, and the transparent transformer substation model 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, such as... Figure 2 As shown, the real-world platform management system has a typical case editing function, which can edit and preset typical test plans. The specific test plan content includes: test requirements analysis, test topology determination, test parameter determination, test detection data determination, and test result analysis.

[0074] As a preferred embodiment, the transparent distribution area real-world platform includes: traditional distribution area key equipment, new distribution area equipment, a power quality management area for accessing power quality management equipment through standardized interfaces, and a smart gateway for IoT networking of smart switches and smart sensing terminals within the distribution area.

[0075] It should be noted that the transparent distribution area simulation platform can realistically simulate the operating characteristics of new distribution areas with a high proportion of distributed power sources and power electronic equipment access. It can also set up typical test scenarios and connect the devices under test for different power quality problems, realizing diversified power quality governance scenario simulation. This supports the functional verification of power quality governance equipment and methods in distribution areas under the background of new power systems, and improves the power quality level of distribution areas.

[0076] In this embodiment, the transparent platform is a true-to-life model. Figure 3 As shown, this platform is used to simulate the operational characteristics of new distribution transformer substations, providing a verification environment for power quality management applications that conforms to actual field conditions. The transparent substation simulation platform includes key equipment from traditional distribution transformer substations such as distribution transformers, integrated distribution boxes (JP cabinets), branch boxes, household meter boxes, and user equipment; it also features characteristic elements of new distribution transformer substations such as distributed simulated power supplies and simulated charging piles, simulating typical operational scenarios of new distribution transformer substations; simultaneously, the simulation platform is configured with a power quality management area, providing standardized interfaces for actual connection of power quality management equipment such as smart capacitors, active power filters, and static var generators.

[0077] It should be noted that the low-voltage simulation platform is configured with intelligent gateways and various sensing devices for IoT networking in the distribution area. The intelligent gateway is an IoT edge computing terminal applied to the low-voltage intelligent distribution area, integrating functions such as distribution area power supply information collection, 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, supporting local data storage and decision analysis. The data transmission stream of the smart gateway is as follows: Figure 4 As shown, the gateway uses the MQTT protocol as the data bus. Various monitoring data in the distribution area are accessed by the smart gateway through different protocols and then distributed to different apps for edge computing or storage via the MQTT bus. The smart gateway interacts with the Internet of Things (IoT) platform through the MQTT protocol, receives instructions from the IoT platform and sends the monitoring data information of the distribution area. In this invention, the IoT platform function is implemented by the real-model platform test management system.

[0079] In this embodiment, the smart gateway serves as the core, enabling the Internet of Things (IoT) networking of smart switches and smart sensing terminals within the distribution area to construct a system as follows: Figure 5 The illustrated intelligent monitoring system for the full-scale platform can realize real-time monitoring of various data such as electrical protection and control of the distribution area, environmental monitoring, video surveillance, and security alarms, creating a transparent full-scale test platform with panoramic status awareness. In the power quality management application verification technology 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, intuitively demonstrating the test results.

[0080] Step S102: According to the test scheme, the parameter settings of the transparent substation true model platform and the parameter settings of the verification scene are set.

[0081] In this embodiment, the test parameter settings are based on the one-key generated test scheme, and the specific test parameter settings include platform parameter settings and scene parameter settings. The platform parameter settings are based on the topology model in the test scheme to configure the true model platform grid, construct a true model platform test topology grid that meets the test requirements, and complete the access and initialization of the corresponding equipment. The scene parameter settings are used to set the platform equipment parameters and access and set the to-be-tested equipment parameters to realize different power quality abnormal operation condition simulation and to-be-tested equipment network operation. The specific parameter setting contents are the contents determined in the "test parameter determination" in step S1.

[0082] Step S103: Test the Internet of Things platform constructed by the intelligent gateway, each intelligent switch and intelligent sensing terminal in the transparent substation true model platform after the parameter settings, and monitor the test data during the test to obtain terminal sensing data.

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

[0084] Step S104: Analyze and evaluate the test results of the to-be-tested treatment equipment or to-be-evaluated treatment method according to the terminal sensing data through the Internet of Things platform, and generate a test analysis report.

[0085] In this embodiment, the Internet of Things platform automatically analyzes and evaluates the test results of the to-be-tested treatment equipment or to-be-evaluated treatment method according to the test process state sensing data, and automatically generates a test analysis report.

[0086] The implementation of the above embodiments has the following effects:

[0087] The technical scheme of the present application can accurately and reliably build a platform for simulation running by editing the test scheme and setting parameters of the transparent transformer area real platform and verifying the scene parameters, so as to have the new intelligent power distribution system simulation running capability, support various power quality treatment application function verification under the background of new power system, build the Internet of Things to realize platform state panoramic perception and transparent test process display, intuitively display the test effect, accurately and reliably collect and acquire the simulated data, provide a systematic real test environment, the test result has high reliability, finally analyze the test result, improve the test efficiency and easy operation, and based on the terminal perception data collected by the Internet of Things platform, automatically perform hierarchical analysis, improve the accuracy and efficiency of power quality analysis, and improve the operation experience of users in power quality analysis and detection.

[0088] Embodiment two

[0089] The present embodiment provides preferred embodiments of each step (including steps S101-S104) in embodiment one.

[0090] As a preferred scheme of the present embodiment, the test scheme is edited and generated according to the test requirements and in combination with the transparent transformer area real platform, specifically including:

[0091] The test requirements are analyzed to determine the type of power quality problem to be simulated, and the test type is obtained; based on the test requirements and the configuration of the transparent transformer area real platform, test topology modeling is performed to confirm the source-load equipment and data acquisition equipment to be input in the test topology; based on the test requirements, the degree of power quality abnormality to be simulated for the test is determined, and the test data to be monitored is determined; according to the degree of power quality abnormality and the test data to be monitored, a typical verification scene is edited, and a test result analysis process is set, so as to plan the test implementation process in combination with the typical verification scene, determine the test execution steps; the test type and the corresponding edited test topology, test data to be monitored, typical verification scene and test execution steps are pre-stored as a typical implementation case, as the edited and generated test scheme.

[0092] In the embodiment, the test scheme is used to guide the overall test process. The real platform management system has a typical case editing function, and can edit and preset typical test cases. The specific implementation manner is as follows: first, test demand analysis is performed, and the type of power quality problem to be simulated is determined, then test topology modeling and typical test scene editing are performed based on the test demand and platform configuration, and the test implementation process is planned, and the detailed test execution steps are determined; finally, the test type and the corresponding edited test topology, test scene and test process are pre-stored as a typical implementation case, so that the typical test scheme can be generated by one key when the same type of test is performed, and the test efficiency is improved.

[0093] In the embodiment, the typical implementation case can include test demand analysis, test topology determination, test parameter determination, test data determination and test result analysis. In the test demand analysis, the type of power quality problem to be simulated in the test is determined; in the test topology determination, the distribution area topology required for building the power quality abnormal scene is determined, that is, the source, load equipment and data acquisition equipment to be input in the test are determined; in the test parameter determination, the abnormal degree of power quality to be simulated in the test is determined, such as the expected voltage value in the voltage quality abnormal problem, the load imbalance degree in the three-phase imbalance problem, the harmonic frequency and harmonic content in the harmonic abnormal problem, the photovoltaic output and load power in the photovoltaic reverse feeding problem; in the test data acquisition, the key data to be monitored in real time is determined, including real-time voltage and current data in the voltage quality treatment, three-phase power of the distribution transformer in the three-phase imbalance treatment, harmonic content of each frequency in the harmonic abnormal treatment, voltage and current of the photovoltaic power generation branch and the electric energy data of the electric meter in the photovoltaic reverse feeding treatment; in the test result analysis, the evaluation basis is determined according to different test scenes, and the power quality treatment effect is judged. The evaluation basis is the key data collected in the test data acquisition step.

[0094] As a preferred scheme of the embodiment, the parameter setting of the transparent distribution area real platform and the parameter setting of the verification scene according to the test scheme specifically include:

[0095] According to the platform network configuration of the test topology in the test scheme, a real platform test topology network frame meeting the test demand is constructed, and the to-be-tested treatment equipment is accessed and initialized, so that the parameter setting of the transparent distribution area real platform is completed; according to the source-load equipment and data acquisition equipment to be input in the test topology in the test scheme and the to-be-monitored test data, the parameter setting of the verification scene is performed in combination with the to-be-tested treatment equipment accessed and initialized, and the to-be-tested treatment equipment is operated together with different power quality abnormal operating condition simulation.

[0096] In the embodiment, the test parameter setting is based on the one-key generated test scheme, and specific test parameter setting is performed, including platform parameter setting and scene parameter setting. The platform parameter setting configures the true platform network frame according to the topology model in the test scheme, constructs a true platform test topology network frame meeting the test requirements, and completes the access and initialization of the corresponding equipment; the scene parameter setting is used for platform equipment parameter setting and the access and parameter setting of the to-be-tested equipment, so as to realize different power quality abnormal operation condition simulation and the online operation of the to-be-tested equipment.

[0097] In the embodiment, the specific parameter setting content is the content determined in the "test parameter determination" in step S1 of the embodiment. The source-load equipment, data acquisition equipment and test data to be monitored required by the test topology in the test scheme are combined with the to-be-tested treatment equipment after access and initialization, the parameters of the corresponding verification scene are set, and the accuracy of the simulation simulation scene is improved.

[0098] As a preferred scheme of the embodiment, the Internet of Things platform constructed by the intelligent gateway, the intelligent switch and the intelligent sensing terminal in the parameter-set transparent substation true platform is tested, and test data monitoring is performed during the test to obtain terminal sensing data, specifically including:

[0099] The to-be-tested treatment equipment accessed and initialized after parameter setting is connected and accessed to each corresponding intelligent switch, and each intelligent switch connected and accessed is set with a corresponding intelligent gateway, so as to construct an Internet of Things platform; after constructing the Internet of Things platform, based on the test scheme and different power quality abnormal operation condition simulation of the to-be-tested treatment equipment respectively, the power treatment test of the transparent substation true platform is performed; wherein, the power treatment test includes the power quality abnormal operation condition simulation stage and the treatment stage; based on the intelligent sensing terminal in the Internet of Things platform and the power quality analyzer, test data monitoring is performed during the test, so as to collect key equipment states and key node parameters in real time as terminal sensing data and then collect the terminal sensing data to the intelligent gateway; wherein, the terminal sensing data includes abnormal stage data, treatment stage data and post-treatment data; the terminal sensing data collected to 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.

[0100] In this embodiment, the test data online monitoring can be realized by the power distribution Internet of Things constructed with the intelligent gateway as the core. The various types of intelligent sensing terminals in the real platform and the power quality analyzers sense the key equipment states and key node parameters in the test process in real time and then collect them to the intelligent gateway. The intelligent gateway directly forwards or forwards after edge computing the terminal sensing data to the Internet of Things platform for data display and advanced application analysis.

[0101] In this embodiment, the to-be-tested governance equipment as the intelligent sensing terminal needs to be connected to the system after parameter setting. These devices will be connected with the corresponding intelligent switches respectively to realize data collection and control signal transmission. After the intelligent switches are connected with the intelligent sensing terminals, the corresponding intelligent gateways need to be set for these connections. The intelligent gateway as the key equipment for data collection, transmission and processing is responsible for collecting and preliminarily processing the data of the front-end equipment. Thus, an Internet of Things platform can be constructed, which integrates functions such as device access, data transmission, data processing and application services. This platform will support the connection of a large number of devices and provide data services such as data access, analysis, storage and analysis. Based on the test scheme, different power quality abnormal operating conditions will be simulated to test the performance of the to-be-tested governance equipment. This includes the simulation of power quality indexes such as voltage deviation, frequency deviation, harmonic, three-phase voltage unbalance degree, etc. The power governance test includes the simulation stage of power quality abnormal operating conditions and the governance stage. In the simulation stage, we will simulate various abnormal conditions in the power grid; in the governance stage, the to-be-tested governance equipment will try to compensate and adjust these abnormalities. In the test process, the intelligent sensing terminals and the power quality analyzers will monitor and collect the key equipment states 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 to the intelligent gateway, and then directly forwarded or forwarded after edge computing to the Internet of Things platform. Edge computing can process data near the data source, reduce delay and improve response speed. On the Internet of Things platform, the collected data will be used for data display and advanced application analysis, including evaluation of the effect of power governance, monitoring of equipment performance and formulation of optimization strategies and other extended functions.

[0102] As a preferred scheme of this embodiment, the analysis and evaluation of the test results 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 the generation of the test analysis report specifically include:

[0103] By the Internet of Things platform, the actual scene is parsed according to the collected terminal perception data; the actual scene is verified and compared with the verification scene, when the actual scene is consistent with the verification scene, the abnormal stage data in the terminal perception data is analyzed, the corresponding actual abnormal working condition is obtained, and the actual perception device is judged; if the actual perception device corresponds to the to-be-tested management device, and the actual abnormal working condition of the actual perception device is the same as the power quality abnormal operation working condition corresponding to the to-be-tested management device, the management stage data and the post-management data in the terminal perception data are analyzed, and according to a preset evaluation model, the management stage data and the post-management data are automatically analyzed, so as to automatically generate a test analysis report.

[0104] In this embodiment, the Internet of Things platform automatically analyzes and evaluates the test results of the to-be-tested management device or the to-be-evaluated management method according to the test whole-process state perception data, and automatically generates a test analysis report. According to different test types, the basis for test result analysis is obviously different, and the detailed judgment basis is each parameter determined in the "test data collection".

[0105] In this embodiment, through the Internet of Things platform, a large amount of data from intelligent perception terminals is collected. These data include voltage, current, frequency and other electric energy parameters, as well as the running state of the device and environmental conditions. Using big data analysis technology, the actual running scene can be parsed from these complex data, providing a basis for subsequent verification comparison. The parsed actual scene is compared with the pre-set verification scene. If they are consistent, it means that the collected data accurately reflects the actual power quality condition. On this basis, the abnormal stage data in the terminal perception data is further analyzed to determine the actual abnormal working condition and identify the device that occurs abnormality.

[0106] In this embodiment, once the actual abnormal condition is determined, it is necessary to determine whether the device that has experienced the abnormal condition is the device under test. If the actual sensing device corresponds to the device under test and its abnormal condition matches the pre-set abnormal operating condition of the device under test, it indicates that the device under test is experiencing the expected test condition. After confirming the abnormal condition, the analysis terminal sensing data in the governance phase, including the response and compensation measures of the device under test to the abnormal condition, and the effect of these measures. After the governance phase, continue to collect and analyze the post-governance data to evaluate the performance and effect of the device under test, including the recovery of power parameters and the stability of the device. According to the pre-set evaluation model, the Internet of Things platform can automatically analyze the governance phase data and post-governance data. The pre-set evaluation model may include the improvement degree of power quality indicators, the response time of the device and the compensation efficiency, etc. Through these analyses, the platform can automatically generate a test analysis report, which will include a detailed description of the abnormal condition, an evaluation of the effect of the governance measures and suggestions for subsequent improvements.

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

[0108] As a preferred embodiment of the present embodiment, the method for constructing the pre-set evaluation model comprises:

[0109] Obtain sample data corresponding to the governance phase data and post-governance data of the device under test during power governance, and labeled data corresponding to the sample data; construct an initial pre-set evaluation model, take the sample data and the labeled data as training data of the initial pre-set evaluation model respectively, train the initial pre-set evaluation model until the loss function of the initial pre-set evaluation model tends to fit, and obtain the final trained pre-set evaluation model.

[0110] In this embodiment, in order to build an evaluation model, first of all, the sample data of the to-be-tested treatment equipment in the electric energy treatment process needs to be obtained. These sample data include real-time electric energy parameters in the treatment stage (such as voltage, current, frequency, harmonic content, etc.), and data of the system recovery state after treatment. At the same time, the corresponding labeled data, that is, the data marked by experts or known results, are also needed to guide model learning. Before using the sample data for training, preprocessing is needed to improve data quality and make it suitable for model training. The preprocessing steps may include data cleaning (removing outliers and noise), normalization (making data on the same scale), feature engineering (extracting features that help model learning), etc. An initial preset evaluation model is built, which can evaluate the effect of electric energy treatment according to the data before and after treatment. This model may be based on machine learning algorithms such as random forest, support vector machine, neural network, etc., and the specific choice 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 learns the features of the sample data and the output of the labeled data, and gradually adjusts the internal parameters to reduce the prediction error. During the training process, the loss function of the model (such as mean square error, cross-entropy, etc.) is used to measure the difference between the predicted results and the actual labels. 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 (i.e., performs well on training data but poorly on unseen test data) or underfit (i.e., the model is too simple and cannot capture the complex relationships in the data). Model performance can be optimized through cross-validation, adjustment of hyperparameters, etc. After multiple iterations of training and parameter adjustment, when the loss function tends to be stable and the model's performance on the validation set reaches a satisfactory level, the final trained preset evaluation model is obtained, which can accurately evaluate the effect of electric energy treatment and provide decision support for operators.

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

[0112] It can be understood that the embodiment constructs a transparent transformer area real platform, has a new type of intelligent power distribution system operation simulation capability, can support the development of intelligent transformer area power quality treatment application verification under the background of new type of power system, has comprehensive transformer area power quality abnormality simulation capability of transformer area voltage quality abnormality, three-phase imbalance, harmonic pollution, photovoltaic reverse delivery, etc., supports the development of various power quality treatment application function verification; at the same time, by constructing the real platform Internet of Things intelligent monitoring system, realizing platform state panoramic perception and test process transparent display, directly showing the test effect, adopting real simulation mode to develop power quality treatment function verification, providing a systematic real test environment, the test result has high reliability, and based on the platform management system, the scheme editing and parameter setting, process management and other functions can realize one-key generation of typical cases, improve the test efficiency and easy operation.

[0113] The above embodiment has the following effects:

[0114] The technical scheme of the application can accurately and reliably build a platform for simulation running by editing the test scheme and setting parameters of the transparent transformer area real platform and the verification scene, so as to have a new type of intelligent power distribution system operation simulation capability, support the development of various power quality treatment application function verification under the background of new type of power system, construct the Internet of Things to realize platform state panoramic perception and test process transparent display, directly show the test effect, accurately and reliably collect and acquire the simulated data, provide a systematic real test environment, the test result has high reliability, finally analyze the test result, improve the test efficiency and easy operation, at the same time, based on the terminal perception data collected by the Internet of Things platform, automatically perform hierarchical analysis, can improve the accuracy and efficiency of power quality analysis, improve the operation experience of users in power quality analysis and detection.

[0115] Embodiment three

[0116] The embodiment is a preferred embodiment of the embodiments one and two.

[0117] As a preferred scheme of the embodiment, the power quality treatment function verification scene includes: voltage quality treatment function verification scene, three-phase imbalance treatment function verification scene, harmonic treatment function verification scene and photovoltaic reverse delivery treatment function verification scene.

[0118] In the embodiment, based on the transparent transformer area real platform, the intelligent transformer area operation characteristics in the new type of power system can be completely simulated to provide a real transformer area test environment for developing transformer area power quality treatment application function verification.

[0119] As a preferred scheme of the embodiment, the parameter setting of the voltage quality treatment function verification scene specifically includes:

[0120] The transparent transformer and voltage regulator combination is used for overall transparent substation real platform power supply. 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, and the combination of different feeder lengths and different loads is performed in combination with the controllable simulation load in the platform, thereby reproducing the low voltage operation condition 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 of the substation voltage fluctuation test, and the change of the substation voltage during the test is continuously monitored as the test data under the voltage quality management function verification scenario, thereby completing the setting of the voltage quality management function verification scenario.

[0121] In this embodiment, the transparent transformer and voltage regulator combination is used for overall real platform power supply. The substation voltage is controlled by setting the voltage regulator parameters, thereby providing substation voltage fluctuation and overvoltage operation scenarios. The line impedance parameters are adjusted by the line simulation device to simulate different feeder lengths, and the combination of different feeder lengths and different loads is performed in combination with the controllable simulation load in the platform, thereby reproducing the low voltage operation condition at the end of the substation.

[0122] It should be noted that the substation voltage quality problem mainly focuses on voltage fluctuation, overvoltage and low voltage at the end. The transparent real experiment platform adopts the combination of the isolation transformer and the voltage regulator for overall real platform power supply. The rapid and accurate control of the substation voltage can be realized by setting the voltage regulator parameters, thereby providing the substation voltage fluctuation and overvoltage operation scenarios. The low voltage at the end of the substation is usually caused by unreasonable substation line length or feeder load configuration. In the real platform, the line impedance parameters can be flexibly adjusted by the line simulation device to simulate different feeder lengths, and the combination of different feeder lengths and different loads can be performed in combination with the controllable simulation load in the platform, thereby truly reproducing the low voltage operation condition at the end of the substation.

[0123] As a preferred scheme of this embodiment, the substation voltage is controlled by setting the voltage regulator parameters, specifically including:

[0124] The brush and coil contact position in the voltage regulator is adjusted to change the primary and secondary coil turn ratio, thereby adjusting the output voltage to control the substation voltage.

[0125] In the embodiment, the three-phase voltage regulator is a contact type autotransformer voltage regulator connected to the output end of the isolation transformer. After confirming the reliability of the connection, the output voltage is adjusted by adjusting the voltage regulator knob to change the contact position of the brush and the coil to change the turns ratio of the primary and secondary coils.

[0126] As a preferred scheme of the embodiment, the parameter setting of the three-phase imbalance treatment function verification scene specifically includes:

[0127] Based on the test scheme, the load imbalance degree of the transformer area is determined, and the controllable energy feedback load capable of imbalance operation is configured to set the three-phase power according to the load imbalance degree of the transformer area, so that the feeder of the transparent transformer area real platform runs in an imbalance state. The imbalance state running in the transparent transformer area real platform is treated by configuring an intelligent phase change switch, and a standardized interface is provided by the intelligent phase change switch, so that the three-phase imbalance treatment demonstration is carried out, and the to-be-tested equipment is connected and function tested, so that the setting of the three-phase imbalance treatment function verification scene is completed.

[0128] In the embodiment, the three-phase imbalance of the transformer area will increase the line loss of the line and the distribution transformer, reduce the operation efficiency of the power supply, and possibly endanger the safety of the distribution transformer and the user's electrical equipment. The controllable energy feedback load capable of imbalance operation is configured in the transparent transformer area real platform, which can set the real platform feeder to run stably within a certain imbalance degree range. The intelligent phase change switch is a commonly used device for treating the three-phase imbalance of the transformer area. The intelligent phase change switch is configured in the real platform and provides a standardized interface, which facilitates the connection and function test of the to-be-tested switch device while carrying out the three-phase imbalance treatment demonstration.

[0129] In the embodiment, the controllable energy feedback load capable of imbalance operation is configured in the transparent transformer area real platform. The controllable energy feedback load can independently set the ABC three-phase power. According to the specific needs of the three-phase imbalance treatment function test, various load imbalance degrees of the transformer area can be flexibly set to provide different power and different imbalance degrees for the test scene of the intelligent phase change switch. The intelligent phase change switch is configured in the real distribution transformer area, and the intelligent phase change switch is a commonly used device for treating the three-phase imbalance of the transformer area. After the real platform realizes the setting of the imbalance operation state of the transformer area based on the controllable energy feedback load, the intelligent phase change switch is communicated, and the load phase change of the transformer area is controlled through the intelligent phase change switch control panel to ensure the overall three-phase balanced operation of the distribution transformer area, and the three-phase imbalance treatment function demonstration is completed.

[0130] As a preferred scheme of the embodiment, the harmonic management function verification scene parameter setting specifically includes:

[0131] Based on the positive direction harmonic output of the energy feedback type controllable simulation load, the harmonic is injected into the power grid in the transparent transformer station real model platform through the energy feedback mode, so that the transparent transformer station real model platform simulates the harmonic pollution scene; the interface of the transformer station reserved harmonic management device accesses the to-be-tested equipment, and the Internet of Things of the transformer station power distribution is used to monitor the change of the transformer station harmonic in real time, so that the setting of the harmonic management function verification scene is completed.

[0132] In the embodiment, based on the harmonic output capability of the energy feedback type controllable simulation load, the harmonic is injected into the power grid through the energy feedback mode, so that the harmonic pollution typical scene simulation of the transparent transformer station real model platform is realized.

[0133] It should be noted that the energy feedback type controllable simulation load in the transparent transformer station real model platform has a harmonic output capability, and specific harmonics are injected into the power grid through the energy feedback mode, so that the harmonic pollution typical scene simulation of the real model platform is realized.

[0134] In the embodiment, the energy feedback type controllable simulation load has a bidirectional energy flow function, can realize automatic seamless switching in the forward and reverse directions, and supports customized generation of different frequency harmonics injected into the real model platform, so as to realize the construction of transformer station harmonic pollution operation scenes with different frequencies and different contents. After the harmonic pollution scene construction is completed, the interface of the transformer station reserved harmonic management device accesses the to-be-tested equipment, and the Internet of Things of the transformer station power distribution is used to monitor the change of the transformer station harmonic in real time, so as to complete the harmonic management function verification of the to-be-tested equipment.

[0135] As a preferred scheme of the embodiment, the photovoltaic reverse sending management function verification scene parameter setting specifically includes:

[0136] Based on the test scheme, the required simulated photovoltaic module characteristics are determined, the corresponding light intensity, temperature and shadow parameters of the photovoltaic module characteristics are simulated by configuring the programmable simulation photovoltaic cell, the photovoltaic simulation system is constructed based on the photovoltaic cell combined with the photovoltaic inverter with the set active and reactive power output corresponding to the test scheme, and the photovoltaic output curve of the transparent transformer station real model platform is set through the photovoltaic simulation system; the preset transformer station internal load power curve is combined, so that the simulation operation from the normal operation of the transformer station photovoltaic to the photovoltaic reverse sending scene is realized; in the simulation operation process, the transformer station voltage, current and power generation data are acquired in real time through the intelligent electric meter and intelligent sensor in the distribution transformer station, as the test data in the photovoltaic reverse sending management function verification scene, so that the setting of the photovoltaic reverse sending management function verification scene is completed.

[0137] In the embodiment, by configuring a programmable analog photovoltaic cell, the characteristics of photovoltaic modules under different light intensities, different temperatures, and different shadow conditions are simulated, and a photovoltaic curve editing function is set. The transition of the photovoltaic system from a normal operating state to a photovoltaic reverse feeding state is set through a preset photovoltaic characteristic curve, thereby providing a test field for photovoltaic reverse feeding management function verification.

[0138] It should be noted that the rapid development of new energy technology has led to a large number of distributed photovoltaic access in low-voltage distribution areas, which brings convenience to users while posing a risk of photovoltaic reverse feeding. Photovoltaic reverse feeding is caused by factors such as shadow, uneven local illumination, or temperature gradient of the photovoltaic power generation system, resulting in the output voltage of the photovoltaic module being lower than the voltage at the load end, causing current to flow from the load end to the photovoltaic module. Photovoltaic reverse feeding can cause the voltage at the load end of the distribution area to be too high and the bus voltage to rise, seriously affecting the power quality of the distribution area.

[0139] The programmable analog photovoltaic cell configured in the real-type distribution area can simulate the characteristics of photovoltaic modules under different light intensities, different temperatures, and different shadow conditions, and support the photovoltaic curve editing function. The transition of the photovoltaic system from a normal operating state to a photovoltaic reverse feeding state can be set through a preset photovoltaic characteristic curve, thereby providing a test field for photovoltaic reverse feeding management function verification.

[0140] In the embodiment, a high-power programmable photovoltaic simulation system is configured in a real-type distribution area, including a programmable analog 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 shadow conditions. The photovoltaic inverter can set different active and reactive power outputs and support power curve setting. Combined with the photovoltaic simulation cell, a variety of photovoltaic power generation system operating characteristics can be simulated in the real-type platform in the distribution area. Based on the photovoltaic simulation system, the photovoltaic output curve in the real-type platform is set, and the programmable simulation load power curve in the distribution area is set. The photovoltaic power generation capacity in the distribution area and the load power in the distribution area can be flexibly matched, the real operation simulation of the photovoltaic normal operation to photovoltaic reverse feeding scenario in the distribution area is completed, and the photovoltaic reverse feeding management function verification scene simulation is provided. During the function verification process, the smart meters and smart sensors in the distribution area acquire the distribution area voltage, current, and power generation data in real time, providing data support for evaluating the management effect.

[0141] The above embodiments have the following effects:

[0142] The technical scheme of the present application can accurately and reliably build a platform for simulation running by editing the test scheme and setting parameters of the transparent transformer area real platform and verifying the parameter setting of the scene, so that it has the running simulation capability of the new intelligent power distribution system, can support the verification of various power quality treatment application functions under the background of the new power system, and can realize panoramic perception of platform state and transparent display of test process through the construction of Internet of Things, directly display the test effect, accurately and reliably collect and acquire the simulated data, provide a systematic real test environment, the test result has high reliability, finally analyze the test result, improve the test efficiency and easy operation, and based on the terminal perception data collected by the Internet of Things platform, automatically perform hierarchical analysis, which can improve the accuracy and efficiency of power quality analysis, and improve the operation experience of users in power quality analysis and detection.

[0143] Embodiment four

[0144] Based on Figure 2 The transparent transformer area real platform architecture constructed by the double transformer area interconnection is as shown in Figure 6

[0145] Based on Figure 6 The transparent transformer area real platform carries out the transformer area three-phase imbalance and harmonic pollution treatment application function verification, and the main implementation steps include:

[0146] (1) Test scheme editing

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

[0148] The three-phase simulation load Load1 in the test topology has a rated power of 20kW; the single-phase simulation load Load2~Load4 has a rated power of 3.3kW and is connected to the A, B and C three-phase of the AC feeder respectively; the reversing switch SB can be remotely exited by software and based on the platform to be tested device interface to access the to-be-tested reversing switch, and carry out three-phase imbalance treatment function verification.

[0149] (2) Test parameter design

[0150] The Load1 load is set to first maintain normal operation, and the three-phase load current is 20A; after running for 1min, it is switched to three-phase imbalance operation state, and the three-phase load current is A phase 10A, B phase 30A and C phase 20A; the load current of the single-phase simulation load Load2~Load4 is set to maintain 10A; the platform phase-changing switch SB is set to exit operation, and after connecting the to-be-tested phase-changing switch SB', the test starts.

[0151] ​​(3) Test data monitoring

[0152] During the test, the power quality monitoring device obtains real-time three-phase current data at the outlet T1 of the distribution transformer (including the voltage regulator), and transmits the data to the Internet of Things management platform based on the Internet of Things for data display and analysis through the intelligent gateway. Similarly, the measured switch SB' uploads its own switch state to the Internet of Things platform in real time through the intelligent gateway.

[0153] (4) Test result analysis

[0154] Based on the three-phase current data at T1 and the state data of the measured commutating switch SB', the three-phase imbalance treatment function of the commutating switch can be analyzed. In this embodiment, it is mainly reflected that after the three-phase simulation load enters an unbalanced operating state at 1 min, the three-phase unbalanced current data at T1 will be detected, and at the same time, the commutating switch SB' controller also obtains the three-phase unbalanced current of the feeder. After that, the commutating action will be triggered without power interruption, and the single-phase simulation load Load3 will be switched from B phase to A phase for operation, so that the detected three-phase current data at the outlet T1 of the transformer returns to a balanced state. By observing whether the commutating switch acts and the action delay during the test, the three-phase imbalance treatment application function can be evaluated.

[0155] The above embodiment has the following effects:

[0156] (1) A transparent substation platform is constructed, which has the operation simulation capability of a new type of intelligent power distribution system and can support the verification of intelligent substation power quality treatment applications under the background of a new type of power system;

[0157] (2) It has comprehensive substation power quality abnormality simulation capability, such as abnormal voltage quality, three-phase imbalance, harmonic pollution, and photovoltaic reverse delivery, which supports the verification of various power quality treatment application functions;

[0158] (3) By constructing the Internet of Things intelligent monitoring system of the real platform, the platform state panoramic perception and transparent display of the test process are realized, and the test effect is directly displayed;

[0159] (4) The power quality treatment function verification is carried out in a real simulation mode, a systematic real test environment is provided, and the test results have high reliability;

[0160] (5) Based on the platform management system, the functions of scheme editing and parameter setting, process management, etc. are provided, the typical case can be generated by one key, and the test efficiency and easy operability are improved.

[0161] Embodiment five

[0162] Please refer to Figure 8The application provides a power quality treatment application verification device, which is used for a transparent transformer area real model platform and comprises 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 for editing and generating a test scheme according to test requirements and in combination with the transparent transformer area real model platform.

[0164] The parameter setting module 202 is used for setting parameters of the transparent transformer area real model platform and parameters of the verification scene according to the test scheme.

[0165] The data monitoring module 203 is used for testing an internet of things platform constructed by intelligent gateways, intelligent switches and intelligent sensing terminals in the transparent transformer area real model platform after parameter setting, testing and monitoring test data during the test, and acquiring terminal sensing data.

[0166] The result analysis module 204 is used for analyzing and evaluating test results of a to-be-tested treatment device or a to-be-evaluated treatment method according to the terminal sensing data through the internet of things platform and generating a test analysis report.

[0167] As a preferred scheme, the editing and generating of the test scheme according to test requirements and in combination with the transparent transformer area real model platform specifically comprises the following steps.

[0168] Analyzing test requirements, determining types of to-be-simulated power quality problems, and obtaining test types;

[0169] Modeling a test topology based on test requirements and configurations of the transparent transformer area real model platform, so as to confirm source-load devices and data acquisition devices needed to be input in the test topology;

[0170] Determining a power quality abnormality degree needed to be simulated in the test based on test requirements, and determining test data needed to be monitored;

[0171] According to the power abnormality degree and the test data needed to be monitored, editing a typical verification scene and setting a test result analysis process, so as to plan a test implementation process in combination with the typical verification scene and determine test execution steps;

[0172] Storing the test types, the corresponding edited test topology, the test data needed to be monitored, the typical verification scene and the test execution steps as a typical implementation case, as the edited and generated test scheme.

[0173] As a preferred solution, the parameter setting of the transparent substation real platform and the parameter setting of the verification scene according to the test scheme specifically include:

[0174] According to the platform network configuration of the test topology in the test scheme, a real platform test topology network frame meeting the test requirements is constructed, and the corresponding to-be-tested management equipment is accessed and initialized, so that the parameter setting of the transparent substation real platform is completed;

[0175] According to the source-load equipment and data acquisition equipment required to be input by the test topology in the test scheme and the test data to be monitored, in combination with the to-be-tested management equipment accessed and initialized, the parameter setting of the verification scene is performed; wherein the to-be-tested management equipment is hung on the network together with different abnormal operation condition simulations of power quality.

[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 substation real platform after the parameter setting is tested, and test data monitoring is performed during the test to obtain terminal sensing data, specifically including:

[0177] The to-be-tested management equipment accessed and initialized after the parameter setting is connected to and accessed each corresponding intelligent switch, and each intelligent switch connected and accessed sets a corresponding intelligent gateway, so as to construct an Internet of Things platform;

[0178] After the Internet of Things platform is constructed, based on the test scheme and different abnormal operation condition simulations of power quality corresponding to the to-be-tested management equipment respectively, the electric energy management test of the transparent substation real platform is performed; wherein the electric energy management test includes an abnormal operation condition simulation stage of power quality and a management stage;

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

[0180] The terminal sensing data collected to 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 test results of the to-be-tested management equipment or the to-be-evaluated management method are analyzed and evaluated according to the terminal sensing data through the Internet of Things platform, and a test analysis report is generated, specifically including:

[0182] The Internet of Things platform is used to analyze the actual scene according to the collected terminal sensing data.

[0183] The actual scene is compared with the verification scene, and when the actual scene is consistent with the verification scene, the abnormal stage data in the terminal sensing data is analyzed to obtain the corresponding actual abnormal working condition, and the actual sensing device is judged.

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

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

[0186] Obtaining sample data corresponding to management stage data and post-management data when the to-be-tested management device performs power management, and label data corresponding to the sample data;

[0187] An initial preset evaluation model is constructed, the sample data and the label data are taken as training data of the initial preset evaluation model respectively, the initial preset evaluation model is trained until the loss function of the initial preset evaluation model tends to be fitted, and finally a preset evaluation model after training is obtained.

[0188] As a preferred solution, the transparent distribution area true type platform comprises: a traditional power distribution area key device, a new type power distribution area device, a power quality management area for accessing a power quality management device through a standardized interface, and a smart gateway for networking the intelligent switches and intelligent sensing terminals in the distribution area.

[0189] As a preferred solution, the power quality management function verification scene comprises: a voltage quality management function verification scene, a three-phase imbalance management function verification scene, a harmonic management function verification scene, and a photovoltaic reverse delivery management function verification scene.

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

[0191] The overall transparent distribution area true type platform is powered by a combination of an isolation transformer and a voltage regulator, and the voltage regulator parameters are set to control the distribution area voltage, thereby generating and providing distribution area voltage fluctuation and overvoltage operation scenes;

[0192] Adjust the line impedance parameters through the line simulation device, simulate different feeder lengths, combine the controllable simulation load in the platform, and perform different combinations of feeder lengths and different loads to reproduce the low voltage operation condition at the end of the transformer area.

[0193] Based on the Internet of Things during low-voltage power distribution, the voltage of the transformer area is acquired in real time as the initial voltage data of the voltage fluctuation test, and the change of the voltage of the transformer area during the test is continuously monitored as the test data in the voltage quality management function verification scene, so that the voltage quality management function verification scene is set.

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

[0195] By adjusting the voltage regulator, the contact position of 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 voltage of the transformer area.

[0196] As a preferred solution, the parameter setting of the three-phase imbalance management function verification scene specifically includes:

[0197] Based on the test scheme, the load imbalance degree of the transformer area is determined, and the controllable simulation load of the energy feedback type is configured to set the three-phase power according to the load imbalance degree of the transformer area, so that the feeder of the transparent transformer area prototype platform operates in an imbalance state;

[0198] By configuring an intelligent phase-change switch, the imbalance state operation in the transparent transformer area prototype platform is managed, and a standardized interface is provided through the intelligent phase-change switch, so that the three-phase imbalance management demonstration is performed while the to-be-tested device is connected and functionally tested, thereby completing the setting of the three-phase imbalance management function verification scene.

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

[0200] Based on the positive direction harmonic output of the controllable simulation load of the energy feedback type, the harmonic is injected into the power grid in the transparent transformer area prototype platform through the energy feedback mode, so that the transparent transformer area prototype platform simulates the scene of harmonic pollution;

[0201] The interface of the transformer area reserved harmonic management device accesses the to-be-tested device, and the change of the transformer area harmonic is monitored in real time through the Internet of Things of the transformer area power distribution, thereby completing the setting of the harmonic management function verification scene.

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

[0203] Based on the test scheme, determine the required simulated photovoltaic module characteristics, and simulate the light intensity, temperature and shadow parameters corresponding to the photovoltaic module characteristics by configuring the programmable simulated photovoltaic cell.

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

[0205] In combination with the preset load power curve in the distribution area, the normal operation of the distribution area photovoltaic to the simulated operation of the photovoltaic reverse sending scene is realized.

[0206] During the simulation operation, the distribution area voltage, current and power generation data are obtained in real time through the smart meter and smart sensor in the distribution area, which are used as the test data in the photovoltaic reverse sending governance function verification scene, so as to complete the setting of the photovoltaic reverse sending governance function verification scene.

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

[0208] The above embodiments have the following effects:

[0209] The technical scheme of the present application can accurately and reliably build a platform for simulation operation by editing the test scheme and setting the parameters of the transparent distribution area true platform and the verification scene, so as to have the operation simulation capability of the new type of intelligent power distribution system, support the development of various power quality governance application function verification in the background of the new type of power system, build the Internet of Things to realize the panoramic perception of the platform state and the 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, the test results have high reliability, finally analyze the test results, improve the test efficiency and operability, automatically perform hierarchical analysis based on the terminal perception data collected by the Internet of Things platform, improve the accuracy and efficiency of power quality analysis, and improve the operation experience of users in power quality analysis and detection.

[0210] Embodiment six

[0211] Correspondingly, the present application 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 the processor implements the power quality governance application verification method of any one of the above embodiments when executing the computer program.

[0212] The terminal device of this embodiment comprises a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor implements the steps in the above embodiment I when executing the computer program, for example Figure 1 The processor implements the functions of the modules / units in the above device embodiment when executing the computer program, for example the data monitoring module 203.

[0213] For example, the computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which 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 intelligent gateway, the intelligent switches and the intelligent sensing terminals in the transparentized district area true type platform after the parameter setting, and to monitor the test data during the test to obtain the terminal sensing data.

[0214] The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The terminal device can include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the terminal device and does not limit the terminal device, which can include more or fewer components than the schematic diagram, or combine certain components, or different components, for example, the terminal device can also include an input / output device, a network access device, a bus, etc.

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

[0216] The memory can be used to store the computer program and / or modules, and the processor realizes various functions of the terminal device by running or executing the computer program and / or modules stored in the memory, and calling 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, at least one application required by a function, etc.; and 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 media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory devices.

[0217] The modules / units integrated in the terminal device can be stored in a computer-readable storage medium if they are realized in the form of software function units and sold or used as independent products. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer-readable storage medium. When the processor executes the computer program, the steps of the above-mentioned various method embodiments can be realized. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer-readable medium can include any entity or device, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. that can carry the computer program code. It should be noted that the contents included 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, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0218] Embodiment Seven

[0219] Correspondingly, the present application also provides a computer-readable storage medium, including stored computer programs, wherein when the computer programs run, the device where the computer-readable storage medium is located executes the power quality treatment application verification method as described in any one of the above embodiments.

[0220] In several embodiments provided by the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the described device embodiments are merely schematic. For example, the division of the units is merely logical function division. There can be other division manners in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0221] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments.

[0222] In addition, each function unit in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit. The integrated unit can be implemented in the form of hardware, or in the form of a software function unit.

[0223] If the integrated unit is implemented in the form of a software function 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 technical solutions of the present application essentially or substantially, or all or part of the technical solutions, can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods in the various embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and various media that can store program codes.

[0224] The above embodiments are merely used to describe the technical solutions of the present application, rather than limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent replacements; and these modifications or replacements do not cause the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A power quality mitigation application verification method, characterized by, The transparent distribution area model platform is implemented, and includes the following steps: According to the test requirements and in combination with the transparent distribution area model platform, a test scheme is edited and generated, wherein the test scheme includes: a to-be-tested management device or a to-be-evaluated management method, and the transparent distribution area model platform is used to provide verification scenes of several types of power quality management functions; According to the test scheme, parameters of the transparent distribution area model platform and parameters of the verification scenes are set; The Internet of Things platform constructed by the intelligent gateway, the intelligent switches, and the intelligent sensing terminals in the transparent distribution area model platform after the parameter setting is tested, and test data monitoring is performed during the test to obtain terminal sensing data; Through the Internet of Things platform, the test results of the to-be-tested management device or the to-be-evaluated management method are analyzed and evaluated according to the terminal sensing data, and a test analysis report is generated; The verification scenes of the power quality management functions include: a voltage quality management function verification scene, a three-phase imbalance management function verification scene, a harmonic management function verification scene, and a photovoltaic reverse feed management function verification scene; The parameter setting of the voltage quality management function verification scene specifically includes: The overall transparent distribution area model platform is powered by using a combination of an isolation transformer and a voltage regulator, the voltage of the distribution area is controlled by setting the parameters of the voltage regulator, thereby generating and providing voltage fluctuation and overvoltage operation scenes of the distribution area; By adjusting the line impedance parameters through the line simulation device, different feeder lengths are simulated, and in combination with the controllable simulation load in the platform, different feeder lengths and different loads are combined, thereby reproducing the low-voltage operation condition at the end of the distribution area; Based on the Internet of Things during low-voltage power distribution, the voltage of the distribution area is obtained in real time as initial voltage data for the voltage fluctuation test, and the change of the voltage of the distribution area during the test is continuously monitored as test data under the monitored voltage quality management function verification scene, thereby completing the setting of the voltage quality management function verification scene; The parameter setting of the photovoltaic reverse feed management function verification scene specifically includes: Based on the test scheme, the required simulated photovoltaic module characteristics are determined, and the corresponding light intensity, temperature, and shadow parameters of the photovoltaic module characteristics are simulated by configuring the programmable simulation photovoltaic cell; Based on the photovoltaic inverter with set active and reactive power outputs 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 distribution area model platform is set through the photovoltaic simulation system; In combination with the preset load power curve in the distribution area, the simulation operation from normal operation of the distribution area photovoltaic to the photovoltaic reverse feed scene is realized; During the simulation operation, the voltage, current, and power generation data of the distribution area are obtained in real time through the smart meter and the intelligent sensor in the distribution area, as test data under the photovoltaic reverse feed management function verification scene, thereby completing the setting of the photovoltaic reverse feed management function verification scene.

2. A power quality governance application verification method as recited in claim 1, wherein, The editing and generation of the test scheme according to the test requirements and in combination with the transparent distribution area model platform specifically include: The test requirements are analyzed to determine the types of power quality problems that need to be simulated, and the test type is obtained; Based on the test requirements and the configuration of the transparent substation real model platform, a test topology is modeled, so as to confirm the source-load equipment and data acquisition equipment required in the test topology; Based on the test requirements, the degree of simulated power quality abnormality required by the test is determined, and the test data to be monitored is determined; According to the degree of power abnormality and the test data to be monitored, a typical verification scenario is edited, 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, test data to be monitored, typical verification scenario and test execution step are pre-stored as a typical implementation case, as the edited and generated test scheme.

3. A power quality treatment application verification method as recited in claim 2, wherein, According to the test scheme, the parameter setting of the transparent substation real model platform and the parameter setting of the verification scenario, specifically include: According to the platform network configuration of the test topology in the test scheme, a real model platform test topology network that meets the test requirements is constructed, and the corresponding to-be-tested management equipment is accessed and initialized, so that the parameter setting of the transparent substation real model platform is completed; According to the source-load equipment and data acquisition equipment required by the test topology in the test scheme and the test data to be monitored, in combination with the to-be-tested management equipment accessed and initialized, the parameter setting of the verification scenario is set; wherein the to-be-tested management equipment is hung together with different power quality abnormal operation condition simulations.

4. A power quality treatment application verification method as recited in claim 3, wherein, The Internet of Things platform constructed by the intelligent gateway, each intelligent switch and intelligent sensing terminal in the transparent substation real model platform after parameter setting is tested, and test data monitoring is performed during the test to obtain terminal sensing data, specifically including: The to-be-tested management equipment accessed and initialized after parameter setting is connected to and accessed each corresponding intelligent switch, and each connected and accessed intelligent switch is set with a corresponding intelligent gateway, so as to construct an Internet of Things platform; After constructing the Internet of Things platform, based on the test scheme and different power quality abnormal operation condition simulations corresponding to the to-be-tested management equipment, an electric energy management test of the transparent substation real model platform is performed; wherein the electric energy management test includes a power quality abnormal operation condition simulation stage and a management stage; Based on the intelligent sensing terminal in the Internet of Things platform and the power quality analyzer, test data monitoring is performed during the test, so as to real-time sense and collect key equipment states and key node parameters, and collect the terminal sensing data to the intelligent gateway; wherein the terminal sensing data includes abnormal stage data, management stage data and post-management data; The terminal sensing data collected to 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 power quality treatment application verification method as recited in claim 4, wherein, The test result of the to-be-tested management equipment or the to-be-evaluated management method is analyzed and evaluated according to the terminal sensing data through the Internet of Things platform, and a test analysis report is generated, specifically including: The Internet of Things platform is used to analyze the actual scene according to the collected terminal sensing data; The actual scene is compared with the verification scene, and when the actual scene is consistent with the verification scene, the abnormal stage data in the terminal sensing data is analyzed to obtain the corresponding actual abnormal working condition, and the actual sensing device is judged; If the actual sensing device corresponds to the to-be-tested management device, and the actual abnormal working condition of the actual sensing device is the same as the power quality abnormal operation working condition corresponding to the to-be-tested management device, the management stage data and the post-management data in the terminal sensing data are analyzed, and the management stage data and the post-management data are automatically analyzed according to a preset evaluation model, so as to automatically generate a test analysis report.

6. A power quality treatment application verification method as recited in claim 5, wherein, The method for constructing the preset evaluation model comprises: Obtaining sample data corresponding to management stage data and post-management data when the to-be-tested management device performs power management, and label data corresponding to the sample data; An initial preset evaluation model is constructed, the sample data and the label data are taken as training data of the initial preset evaluation model respectively, the initial preset evaluation model is trained until the loss function of the initial preset evaluation model tends to be fitted, and finally a preset evaluation model after training is obtained.

7. A power quality treatment application verification method as claimed in any one of claims 1 to 6, characterized by, The transparent distribution area true type platform comprises: a traditional power distribution area key device, a new type power distribution area device, a power quality management area for accessing a power quality management device through a standardized interface, and a smart gateway for networking the intelligent switches and intelligent sensing terminals in the distribution area.

8. A power quality treatment application verification method as recited in claim 1, wherein, The voltage of the distribution area is controlled by setting the parameters of the voltage regulator, specifically including: The contact position of the brush and the coil in the voltage regulator is changed by adjusting the voltage regulator, so as to change the ratio of the primary and secondary coil turns, and then the output voltage is adjusted to control the voltage of the distribution area.

9. A power quality treatment application verification method as recited in claim 1, wherein, The parameter setting of the three-phase imbalance management function verification scene specifically includes: Based on the test scheme, the distribution area load imbalance degree is determined, and the three-phase power is set by configuring the energy feedback type controllable simulation load according to the distribution area load imbalance degree, so that the feeder of the transparent distribution area true type platform runs in the imbalance degree state; The imbalance degree state running in the transparent distribution area true type platform is managed by configuring the intelligent phase-changing switch, and the standardized interface is provided through the intelligent phase-changing switch, so as to demonstrate the three-phase imbalance management while accessing and testing the to-be-tested device, thereby completing the setting of the three-phase imbalance management function verification scene.

10. The power quality governing application verification method of claim 1, wherein, The parameter setting of the harmonic management function verification scene specifically includes: Based on the positive direction harmonic output of the energy feedback type controllable simulation load, the harmonic is injected into the power grid in the transparent distribution area true type platform through the energy feedback mode, so that the transparent distribution area true type platform simulates the scene of harmonic pollution; The interface of the to-be-tested device is accessed based on the reserved harmonic management device of the distribution area, and the change of the distribution area harmonic is monitored in real time through the Internet of Things of the distribution area power supply, so that the setting of the harmonic management function verification scene is completed.

11. An electric power quality conditioning application verification apparatus, characterized by, The transparent power distribution area model platform comprises a scheme editing module, a parameter setting module, a data monitoring module and a result analysis module. The scheme editing module is configured to edit and generate a test scheme according to test requirements and in combination with the transparent power distribution area model platform, wherein the test scheme comprises a to-be-tested management device or a to-be-evaluated management method, and the transparent power distribution area model platform is configured to provide verification scenes of several types of power quality management functions. The parameter setting module is configured to set parameters of the transparent power distribution area model platform and parameters of the verification scenes according to the test scheme. The data monitoring module is configured to test an Internet of Things platform constructed by intelligent gateways, intelligent switches and intelligent sensing terminals in the transparent power distribution area model platform after the parameter setting, and to monitor test data during the test to obtain terminal sensing data. The result analysis module is configured to analyze and evaluate test results of the to-be-tested management device or the to-be-evaluated management method according to the terminal sensing data through the Internet of Things platform, and to generate a test analysis report. The verification scenes of the power quality management functions comprise voltage quality management function verification scenes, three-phase imbalance management function verification scenes, harmonic management function verification scenes and photovoltaic reverse feed management function verification scenes. The parameter setting of the voltage quality management function verification scenes specifically comprises: The overall transparent power distribution area model platform is powered by using a combination of an isolation transformer and a voltage regulator, the voltage regulator parameters are set to control the voltage of the distribution area, thereby generating and providing distribution area voltage fluctuation and overvoltage operation scenes; The line impedance parameters are adjusted by a line simulation device to simulate different feeder lengths, and different feeder lengths and loads are combined by using controllable simulation loads in the platform, thereby reproducing low-voltage operation conditions at the end of the distribution area; Based on the Internet of Things during low-voltage power distribution, the voltage of the distribution area is obtained in real time as initial voltage data for the voltage fluctuation test, and the voltage change during the test is continuously monitored as test data under the voltage quality management function verification scene, thereby completing the setting of the voltage quality management function verification scene; The parameter setting of the photovoltaic reverse feed management function verification scene specifically comprises: Based on the test scheme, the required photovoltaic module characteristics are determined, and the corresponding light intensity, temperature and shadow parameters of the photovoltaic module characteristics are simulated by configuring a programmable simulation photovoltaic cell; Based on the photovoltaic inverter with set active and reactive power outputs corresponding to the test scheme, the photovoltaic simulation system is constructed in combination with the photovoltaic cell, and the photovoltaic output curve of the transparent power distribution area model platform is set through the photovoltaic simulation system; In combination with the preset load power curve in the distribution area, the simulation operation from normal operation of the distribution area photovoltaic to the photovoltaic reverse feed scene is realized; During the simulation operation, the voltage, current and power generation data of the distribution area are obtained in real time by the intelligent electric meter and the intelligent sensor in the distribution area as test data under the photovoltaic reverse feed management function verification scene, thereby completing the setting of the photovoltaic reverse feed management function verification scene.

12. A terminal device, comprising: A computer program product including a computer readable storage medium having stored thereon a computer program configured to cause a processor to execute the power quality treatment application verification method according to any one of claims 1 to 10 when the computer program is executed by the processor.

13. A computer-readable storage medium, characterized in that, The computer readable storage medium includes a stored computer program, wherein the computer readable storage medium controls a device in which the computer readable storage medium is located to execute the power quality treatment application verification method according to any one of claims 1 to 10 when the computer program runs.

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