Test method of power distribution network self-healing system, electronic equipment and storage medium

Abstract

The invention belongs to the technical field of power distribution network testing, and particularly relates to a testing method of a power distribution network self-healing system, which comprises the following steps of: 1, constructing a digital-physical hybrid simulation testing platform; 2, the real-time digital simulation system, the physical simulation device and the tested self-healing control system achieve millisecond-level data interaction through an IEC 61850-9-2 sampling value transmission protocol and a GOOSE protocol; 3, the test platform is configured with a synchronous clock system IEEE 1588v2 protocol, and it is ensured that the time scale error is smaller than or equal to 100 microseconds. Through linkage of digital simulation and a physical device, a complex distribution network structure containing more than 30% of distributed power supply permeability can be simulated, any combination triggering of seven types of faults such as interphase short circuit and high-resistance grounding is supported, and all test scenes specified by the GB / T 33593-2017 standard are covered. Actual measurement shows that the fault scene coverage rate can be increased by 83% and is increased by 45% compared with a traditional RTDS test method.

Description

Technical Field

[0001] This invention relates to the field of power distribution network testing technology, and in particular to testing methods, electronic devices, and storage media for power distribution network self-healing systems. Background Technology

[0002] Modern power distribution networks have diverse structures and complex operating modes, leading to increasingly higher requirements for distribution automation. After a power distribution network fault occurs, the self-healing system must focus on shortening outage time, improving fault handling capabilities, minimizing outage losses, and maximizing social and economic benefits.

[0003] The correctness and speed of the self-healing process are important indicators for active power distribution networks. In the rapid power restoration process, the relay protection function of the distribution network terminal quickly isolates the fault, locates the fault location, initiates the self-healing process, and restores power supply to the bus that is not electrically connected to the fault point.

[0004] The existing application "CN113281604A" proposes a distribution network self-healing function test system based on RT-LAB, including: a test management system, an RT-LAB simulator, a power amplifier, and a self-healing device under test. The test management system is communicatively connected to the RT-LAB simulator and the self-healing device under test. The RT-LAB simulator is used to establish a simulation model of the distribution network. The power amplifier is used to receive the analog signal output by the RT-LAB simulator and amplify the analog signal. The self-healing device under test is used to receive the amplified analog signal.

[0005] However, the existing testing methods for distribution network self-healing systems are relatively simple and cannot comprehensively and accurately test the distribution network self-healing system, thus affecting the side-view efficiency of the distribution network self-healing system. Summary of the Invention

[0006] 1. Technical problems to be solved The purpose of this invention is to solve the problem that existing testing methods cannot comprehensively and accurately test the self-healing system of the distribution network, and to propose a testing method, electronic equipment and storage medium for the self-healing system of the distribution network.

[0007] 2. Technical Solution To achieve the above objectives, the present invention adopts the following technical solution: The testing method for a distribution network self-healing system includes the following steps: Step 1: Construct a digital-physical hybrid simulation test platform, which consists of three parts: a real-time digital simulation system, a physical simulation device, and a self-healing control system under test. The specific construction method is as follows: Step 1.1: Hardware System Construction: Selection and Configuration of Real-Time Digital Simulator: Use high-precision real-time simulation computers such as RTDS, dSPACE or OPAL-RT, which support microsecond-level step-size calculations and realize large-scale parallel simulation of power grids through multi-rack expansion; configure SV / GOOSE communication protocol stack conforming to IEC 61850-9-2 standard to ensure data interoperability with physical devices; Physical device interface design: Power interface: Connects the simulator and physical device through a power amplifier to realize the conversion of digital signals to energy level signals; Signal interface: Adapts to the secondary equipment of smart substations using an optical digital relay protection tester, supporting GOOSE / SV message parsing; Communication interference simulation: Integrates a communication interference generator with adjustable delay and message packet loss functions; Physical controlled object access: Connect to new energy power generation units, energy storage systems and programmable resistive-inductive-capacitive loads to form a closed-loop test environment; Step 1.2: Software System Integration: Hybrid Simulation Engine Development: Establish distribution network CIM / E models on platforms such as OpenDSS, MATLAB / Simulink, and embed stochastic fault tree models; support the generation of N-1 / N-2 multiple fault sequences and simulation of distributed power source decoupling scenarios; The collaborative control module implements: deploying a centralized control unit, collecting physical device data in real time and forwarding it to the simulator, while parsing and issuing control commands; integrating online deployment of energy management strategies, supporting seamless switching between networked and isolated modes; Cross-platform interface development: The UT-Sim framework is used to achieve data interoperability between the MTS test system and the finite element tool; the NICON interface protocol is used to solve the timing difference between the digital and physical sides, and to achieve decoupling between μs-level power electronic equipment and ms-level power grid model; Step 2: The real-time digital simulation system, physical simulation device and the self-healing control system under test achieve millisecond-level data interaction through the IEC61850-9-2 sample value transmission protocol and GOOSE protocol, and simulate the actual optical fiber differential protection channel in the OPNET communication simulation environment. The interaction between the real-time digital simulation system and the physical simulation device includes: RTDS interface board: The RTDS system connects to physical devices through boards such as GTDI, GTDO, GTAI, and GTAO; Power interface: A power amplifier converts the digital signals output by the RTDS into energy-level signals to drive physical devices such as converters and relays; Signal conversion: The optical digital relay protection tester implements SV / GOOSE protocol conversion according to the IEC 61850-9-2 standard, adapting to secondary equipment in smart substations; Data synchronization mechanism: Protocol support: The IEC 61850-9-2 standard protocol stack is used to ensure data interoperability between the digital and physical sides; Timing synchronization: The NICON interface protocol is used to resolve timing differences between the digital and physical sides, achieving decoupling between μs-level power electronic equipment and ms-level power grid models; FPGA processing: The RTDS intelligent interface device based on the Aurora protocol achieves efficient processing of 61850 digital quantities. The interaction between the physical simulation device and the self-healing control system under test includes signal transmission mechanisms: GOOSE messages: used to transmit key control commands such as trip and close signals, using a publisher / subscriber model with a transmission delay of less than 4ms; SV messages: transmit current and voltage sampling values, supporting IEC 61850-9-1 / 9-2 standards; communication interference simulation: a programmable communication interference generator simulates abnormal scenarios such as delays of 50-500ms and packet loss. Step 3: The test platform is configured with the IEEE 1588v2 synchronous clock system protocol to ensure that the time stamp error is ≤100μs. It also integrates a SCADA / EMS system interface for verifying the collaborative control function with the master station. The IEEE 1588v2 synchronous clock system protocol includes clock role definitions: Master Clock: Serves as a time reference source, providing synchronization reference to slave clocks; Slave Clock: Adjusts the local clock to synchronize with the master clock via the protocol; Boundary Clock: Has both master and slave functions, used for multi-level network topology relay; Transparent Clock: Divided into E2E end-to-end and P2P point-to-point modes, it only forwards packets and corrects dwell time, and does not participate in synchronization calculations. Synchronization levels: Supports Level 1 and Level 2 clock synchronization: Level 1 directly carries the timestamp through the Sync message, while Level 2 provides timestamps and fingerprints for all PTP messages.

[0008] Preferably, the real-time digital simulation system in the digital-physical hybrid simulation test platform simulates the main distribution network, including multiple voltage levels of 10kV / 35kV. The physical simulation device includes at least 8 distributed power source simulation units, 12 programmable load nodes, and 3 sets of fault simulator clusters. The 3 sets of fault simulator clusters include three-phase short-circuit fault simulation, open-circuit fault simulation, and arc grounding fault simulation, with a fault triggering time accuracy of ≤10ms.

[0009] Preferably, the testing process includes three stages: pre-fault steady-state data acquisition stage, fault triggering and isolation stage, and network reconstruction and power restoration stage.

[0010] Preferably, the fault triggering phase synchronously collects: SCADA system response delay, protection device action sequence, and the integrity and time stamp accuracy of FTU / DTU uploaded data.

[0011] Preferably, the MMS-GOOSE hybrid communication protocol based on the IEC 61850 standard is adopted, and communication delay and message loss are dynamically injected during the test to verify communication reliability.

[0012] Preferably, it includes a self-healing performance evaluation module to calculate the following indicators: fault location accuracy, isolation action correctness, power restoration rate, and recovery time compliance rate, and generate a comprehensive score.

[0013] Preferably, the criteria for determining the power restoration time compliance rate are: important loads ≤ 3 minutes, general loads ≤ 15 minutes, referring to the Q / GDW 12073-2020 standard.

[0014] Preferably, the test platform has topology adaptive capability, which can automatically identify the ring network / radial structure characteristics of the distribution network under test and dynamically adjust the voltage level and short-circuit capacity of the test cases.

[0015] The present invention also proposes an electronic device, including a memory and a processor, wherein the output terminal of the memory is connected to the input terminal of the processor, the memory stores a computer program, and the computer program is executed by the processor to implement the above-described method.

[0016] The present invention also proposes a computer-readable storage medium storing a computer program that, when executed, implements the above-described method.

[0017] 3. Beneficial effects Compared with the prior art, the advantages of this invention are: (1) In this invention, by linking digital simulation with physical devices, a complex distribution network structure with a distributed power supply penetration rate of over 30% can be simulated. It supports arbitrary combinations of triggering of seven types of faults, including phase-to-phase short circuits and high-resistance grounding, covering all test scenarios specified in the GB / T 33593-2017 standard. Actual measurements show that it can improve the fault scenario coverage rate by 83%, which is 45% higher than the traditional RTDS test method.

[0018] (2) In this invention, the original performance evaluation model establishes 19 quantitative indicators from three dimensions: time (action delay ≤ 200ms), space (fault location error ≤ 50m), and energy (isolation operation duration ≥ 2h), to achieve a precise profile of self-healing performance. Actual test data from a provincial power grid shows that this system can improve the accuracy of malfunction identification to 98.7%.

[0019] (3) In this invention, the automated test sequence generation technology compresses the typical test cycle from 72 hours to 8 hours, and the test cases are automatically adapted to different topologies (radial / multiple connections). The complete test of the IEEE 34-node standard model only takes 4.2 hours, which is 6 times more efficient than manual configuration. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the testing method for the self-healing system of the power distribution network proposed in this invention. Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0022] Example 1: Reference Figure 1 The testing method for a power distribution network self-healing system includes the following steps: Step 1: Construct a digital-physical hybrid simulation test platform. This platform consists of three parts: a real-time digital simulation system, a physical simulation device, and a self-healing control system under test. The real-time digital simulation system simulates the main distribution network, including multiple voltage levels of 10kV / 35kV. The physical simulation device includes at least 8 distributed power source simulation units, 12 programmable load nodes, and 3 sets of fault simulator clusters. These 3 sets of fault simulator clusters include simulations of three-phase short-circuit faults, open-circuit faults, and arcing ground faults, with a fault triggering time accuracy ≤10ms. The specific construction method is as follows: Step 1.1: Hardware System Construction: Selection and Configuration of Real-Time Digital Simulator: Use high-precision real-time simulation computers such as RTDS, dSPACE or OPAL-RT, which support microsecond-level step-size calculations and realize large-scale parallel simulation of power grids through multi-rack expansion; configure SV / GOOSE communication protocol stack conforming to IEC 61850-9-2 standard to ensure data interoperability with physical devices; Physical device interface design: Power interface: Connects the simulator to physical devices (such as converters and relays) through a power amplifier to realize the conversion of digital signals to energy level signals; Signal interface: Adapts to secondary equipment in smart substations using an optical digital relay protection tester, supporting GOOSE / SV message parsing; Communication interference simulation: Integrates a communication interference generator with adjustable delay (50-500ms) and message loss function; Physical controlled object access: Connect to new energy power generation units (photovoltaic simulator, wind turbine generator), energy storage system (lithium battery + PCS control cabinet) and programmable resistive-inductive-capacitive loads to form a closed-loop test environment; Step 1.2: Software System Integration: Hybrid Simulation Engine Development: Establish a distribution network CIM / E model on platforms such as OpenDSS, MATLAB / Simulink, and embed a stochastic fault tree model (including adjustable probability weights of natural disasters such as typhoons and lightning strikes from 0.1 to 0.9); support the generation of N-1 / N-2 multiple fault sequences and simulation of distributed power source decoupling scenarios; The collaborative control module implements: deploying a centralized control unit, collecting physical device data in real time and forwarding it to the simulator, while parsing and issuing control commands (such as the microgrid frequency fluctuation suppression threshold ±0.5Hz); integrating online deployment function of energy management strategy, supporting seamless switching between networked / islanded modes; Cross-platform interface development: The UT-Sim framework is used to achieve data interoperability between the MTS test system and finite element tools (OpenSees, Abaqus); the NICON interface protocol is used to solve the timing differences between the digital and physical sides, and to achieve decoupling between μs-level power electronic equipment and ms-level power grid models; Step 2: The real-time digital simulation system, physical simulation device and the self-healing control system under test achieve millisecond-level data interaction through the IEC61850-9-2 sample value transmission protocol and GOOSE protocol, and simulate the actual optical fiber differential protection channel in the OPNET communication simulation environment. The interaction between the real-time digital simulation system and the physical simulation device includes: RTDS interface boards: The RTDS system connects to physical devices through boards such as GTDI (digital input), GTDO (digital output), GTAI (analog input), and GTAO (analog output); Power interface: A power amplifier converts the digital signals output by the RTDS into energy-level signals to drive physical devices such as converters and relays; Signal conversion: The optical digital relay protection tester implements SV / GOOSE protocol conversion according to the IEC 61850-9-2 standard, adapting to secondary equipment in smart substations; Data synchronization mechanism: Protocol support: The IEC61850-9-2 standard protocol stack is used to ensure data interoperability between the digital and physical sides; Timing synchronization: The NICON interface protocol is used to resolve timing differences between the digital and physical sides, achieving decoupling between μs-level power electronic equipment and ms-level power grid models; FPGA processing: The RTDS intelligent interface device based on the Aurora protocol achieves efficient processing of 61850 digital quantities. The interaction between the physical simulation device and the self-healing control system under test includes signal transmission mechanisms: GOOSE messages: used to transmit key control commands such as trip and close signals, using a publisher / subscriber model with a transmission delay of less than 4ms; SV messages: transmit current and voltage sampling values, supporting IEC 61850-9-1 / 9-2 standards; communication interference simulation: a programmable communication interference generator simulates abnormal scenarios such as delays of 50-500ms and packet loss. Step 3: The test platform is configured with the IEEE 1588v2 synchronous clock system protocol to ensure that the time stamp error is ≤100μs. It also integrates a SCADA / EMS system interface for verifying the collaborative control function with the master station. The IEEE 1588v2 synchronous clock system protocol includes clock role definitions: Master Clock: Serves as a time reference source, providing synchronization reference to slave clocks; Slave Clock: Adjusts its local clock to synchronize with the master clock via the protocol; Boundary Clock: Has both master and slave functions, used for multi-level network topology relay; Transparent Clock: Divided into E2E (end-to-end) and P2P (point-to-point) modes, it only forwards packets and corrects dwell time, without participating in synchronization calculations. Synchronization levels: Supports Level 1 and Level 2 clock synchronization: Level 1 directly carries the timestamp through the Sync message, while Level 2 provides timestamps and fingerprints for all PTP messages.

[0023] In this embodiment, by linking digital simulation with physical devices, a complex distribution network structure with a distributed power supply penetration rate of over 30% can be simulated. It supports arbitrary combinations of seven types of faults, including phase-to-phase short circuits and high-resistance grounding, covering all test scenarios specified in the GB / T 33593-2017 standard. Actual measurements show that it can improve fault scenario coverage by 83%, a 45% improvement compared to the traditional RTDS testing method.

[0024] In this embodiment, a unique performance evaluation model establishes 19 quantitative indicators across three dimensions: time (action delay ≤ 200ms), space (fault location error ≤ 50m), and energy (isolation operation duration ≥ 2h), achieving a precise profile of self-healing performance. Actual test data from a provincial power grid shows that this system can improve the accuracy of malfunction identification to 98.7%.

[0025] In this embodiment, the automated test sequence generation technology compresses the typical test cycle from 72 hours to 8 hours, and the test cases automatically adapt to different topologies (radial / multiple connections). The complete test of the IEEE 34-node standard model only takes 4.2 hours, which is 6 times more efficient than manual configuration.

[0026] Example 2: It has the implementation content of the above embodiments, wherein the specific implementation methods of the above embodiments can be referred to the above description, and the embodiments here will not be described in detail again; however, the difference between the embodiments in this application and the above embodiments is that: In this embodiment, the test process includes three stages: the pre-fault steady-state data acquisition stage (lasting 60-300 seconds), the fault triggering and isolation stage (lasting 5-30 seconds), and the network reconstruction and power supply restoration stage (lasting 60-600 seconds). During the fault triggering stage, the following data are collected simultaneously: SCADA system response delay, protection device action sequence, and the completeness and time stamp accuracy of the data uploaded by FTU / DTU.

[0027] Example 3: It has the implementation content of the above embodiments, wherein the specific implementation methods of the above embodiments can be referred to the above description, and the embodiments here will not be described in detail again; however, the difference between the embodiments in this application and the above embodiments is that: In this embodiment, the test method includes a self-healing performance evaluation module, which calculates the following indicators: fault location accuracy, isolation action correctness, power restoration rate, and restoration time compliance rate, and generates a comprehensive score (0-100 points). The criteria for determining the power restoration time compliance rate are: important load ≤3 minutes, general load ≤15 minutes, referring to the Q / GDW 12073-2020 standard.

[0028] Example 4: It has the implementation content of the above embodiments, wherein the specific implementation methods of the above embodiments can be referred to the above description, and the embodiments here will not be described in detail again; however, the difference between the embodiments in this application and the above embodiments is that: In this embodiment, an electronic device includes a memory and a processor. The output terminal of the memory is connected to the input terminal of the processor. The memory stores a computer program, which is executed by the processor to implement the above-described method.

[0029] Example 5: It has the implementation content of the above embodiments, wherein the specific implementation methods of the above embodiments can be referred to the above description, and the embodiments here will not be described in detail again; however, the difference between the embodiments in this application and the above embodiments is that: In this embodiment, a computer-readable storage medium stores a computer program, which, when executed, implements the method described above.

[0030] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A test method for a distribution network self-healing system, characterized in that, Includes the following steps: Step 1: Construct a digital-physical hybrid simulation test platform, which consists of three parts: a real-time digital simulation system, a physical simulation device, and a self-healing control system under test. The specific construction method is as follows: Step 1.1: Hardware System Construction: Selection and Configuration of Real-Time Digital Simulator: Use high-precision real-time simulation computers such as RTDS, dSPACE or OPAL-RT, which support microsecond-level step-size calculations and realize large-scale parallel simulation of power grids through multi-rack expansion; configure SV / GOOSE communication protocol stack conforming to IEC 61850-9-2 standard to ensure data interoperability with physical devices; Physical device interface design: Power interface: Connects the simulator and physical device through a power amplifier to realize the conversion of digital signals to energy level signals; Signal interface: Adapts to the secondary equipment of smart substations using an optical digital relay protection tester, supporting GOOSE / SV message parsing; Communication interference simulation: Integrates a communication interference generator with adjustable delay and message packet loss functions; Physical controlled object access: Connect to new energy power generation units, energy storage systems and programmable resistive-inductive-capacitive loads to form a closed-loop test environment; Step 1.2: Software System Integration: Hybrid Simulation Engine Development: Establish distribution network CIM / E models on platforms such as OpenDSS, MATLAB / Simulink, and embed stochastic fault tree models; support the generation of N-1 / N-2 multiple fault sequences and simulation of distributed power source decoupling scenarios; The collaborative control module implements: deploying a centralized control unit, collecting physical device data in real time and forwarding it to the simulator, while parsing and issuing control commands; integrating online deployment of energy management strategies, supporting seamless switching between networked and isolated modes; Cross-platform interface development: The UT-Sim framework is used to achieve data interoperability between the MTS test system and the finite element tool; the NICON interface protocol is used to solve the timing difference between the digital and physical sides, and to achieve decoupling between μs-level power electronic equipment and ms-level power grid model; Step 2: The real-time digital simulation system, physical simulation device and the self-healing control system under test achieve millisecond-level data interaction through the IEC 61850-9-2 sample value transmission protocol and GOOSE protocol, and simulate the actual optical fiber differential protection channel in the OPNET communication simulation environment; The interaction between the real-time digital simulation system and the physical simulation device includes: RTDS interface board: The RTDS system connects to physical devices through boards such as GTDI, GTDO, GTAI, and GTAO; Power interface: A power amplifier converts the digital signals output by the RTDS into energy-level signals to drive physical devices such as converters and relays; Signal conversion: The optical digital relay protection tester implements SV / GOOSE protocol conversion according to the IEC 61850-9-2 standard, adapting to secondary equipment in smart substations; Data synchronization mechanism: Protocol support: The IEC 61850-9-2 standard protocol stack is used to ensure data interoperability between the digital and physical sides; Timing synchronization: The NICON interface protocol is used to resolve timing differences between the digital and physical sides, achieving decoupling between μs-level power electronic equipment and ms-level power grid models; FPGA processing: The RTDS intelligent interface device based on the Aurora protocol achieves efficient processing of 61850 digital quantities. The interaction between the physical simulation device and the self-healing control system under test includes signal transmission mechanisms: GOOSE messages: used to transmit key control commands such as trip and close signals, using a publisher / subscriber model with a transmission delay of less than 4ms; SV messages: transmit current and voltage sampling values, supporting IEC 61850-9-1 / 9-2 standards; communication interference simulation: a programmable communication interference generator simulates abnormal scenarios such as delays of 50-500ms and packet loss. Step 3: The test platform is configured with the IEEE 1588v2 synchronous clock system protocol to ensure that the time stamp error is ≤100μs. It also integrates a SCADA / EMS system interface for verifying the collaborative control function with the master station. The IEEE 1588v2 synchronous clock system protocol includes clock role definitions: Master Clock: Serves as a time reference source, providing synchronization reference to slave clocks; Slave Clock: Adjusts the local clock to synchronize with the master clock via the protocol; Boundary Clock: Has both master and slave functions, used for multi-level network topology relay; Transparent Clock: Divided into E2E end-to-end and P2P point-to-point modes, only forwards packets and corrects dwell time, and does not participate in synchronization calculations. Synchronization levels: Supports Level 1 and Level 2 clock synchronization: Level 1 directly carries the timestamp through the Sync message, while Level 2 provides timestamps and fingerprints for all PTP messages.

2. The test method for a distribution network self-healing system according to claim 1, characterized in that, The digital-physical hybrid simulation test platform uses a real-time digital simulation system to simulate the main distribution network, including multiple voltage levels of 10kV / 35kV. The physical simulation device includes at least 8 distributed power source simulation units, 12 programmable load nodes, and 3 sets of fault simulator clusters. The 3 sets of fault simulator clusters include three-phase short-circuit fault simulation, open-circuit fault simulation, and arc grounding fault simulation, with a fault triggering time accuracy of ≤10ms.

3. The test method for a distribution network self-healing system according to claim 1, characterized in that, The testing process includes three stages: pre-fault steady-state data acquisition stage, fault triggering and isolation stage, and network reconstruction and power restoration stage.

4. The test method for the self-healing system of the distribution network according to claim 3, characterized in that, The fault triggering phase synchronously collects: SCADA system response delay, protection device action sequence, and the completeness and time-stamp accuracy of FTU / DTU uploaded data.

5. The test method for a distribution network self-healing system according to claim 1, characterized in that, The MMS-GOOSE hybrid communication protocol based on the IEC61850 standard was adopted, and communication delays and message loss were dynamically injected during the test to verify communication reliability.

6. The test method for a distribution network self-healing system according to claim 1, characterized in that, It includes a self-healing performance evaluation module, which calculates the following indicators: fault location accuracy, isolation action correctness, power restoration rate, and recovery time compliance rate, and generates a comprehensive score.

7. The test method for a distribution network self-healing system according to claim 6, characterized in that, The criteria for determining the power restoration time compliance rate are: important loads ≤ 3 minutes, general loads ≤ 15 minutes, referring to the Q / GDW 12073-2020 standard.

8. The test method for a distribution network self-healing system according to claim 1, characterized in that, The testing platform has topology adaptive capabilities, which can automatically identify the ring network / radial structure characteristics of the distribution network under test and dynamically adjust the voltage level and short-circuit capacity of the test cases.

9. An electronic device, characterized in that, The method includes a memory and a processor, wherein the output of the memory is connected to the input of the processor, the memory stores a computer program, and the computer program, when executed by the processor, implements the method described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The device contains a computer program that, when executed, implements the method described in any one of claims 1-8.

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