Method and system for verifying distributed power supply access unit

Abstract

The invention discloses a method and a system for verifying a distributed power supply access unit. The method comprises the following steps: performing parameter configuration on a to-be-detected distributed power supply access unit; connecting the distributed power supply access unit to a verification device through a self-adaptive wiring terminal; performing a static performance test, a dynamic performance test and a security test on the distributed power supply access unit; and recording and analyzing data in the test process to obtain a test report. According to the invention, the inspection efficiency and accuracy of the distributed power supply access unit can be improved, the performance of the unit can be comprehensively evaluated, and faults can be accurately diagnosed and positioned; by introducing the differential evolution bat model, comprehensive, efficient and accurate inspection of the distributed power supply access unit is realized, the inspection process can be automatically completed, manual intervention is reduced, and the inspection efficiency is improved; the performance of the unit can be comprehensively evaluated, faults can be accurately diagnosed and positioned, and powerful support is provided for subsequent maintenance and replacement work.

Description

Technical Field

[0001] The present invention relates to the technical field of power electronics and smart grid, and more specifically, to a calibration method and system for a distributed power supply access unit. Background Art

[0002] With the rapid development of renewable energy technology and the continuous advancement of smart grid construction, the importance of distributed power access units as key equipment connecting distributed power sources and power grids has become increasingly prominent; however, traditional distributed power access unit inspection methods have many shortcomings; first, traditional inspection methods often rely on manual operations, which are complex and inefficient, and it is difficult to meet the inspection needs of large-scale distributed power access units; second, traditional methods usually only focus on the static performance of the unit, but ignore its responsiveness and safety performance under dynamic conditions, making it difficult to comprehensively evaluate the performance of the unit; finally, traditional methods have limited fault diagnosis and location capabilities, and can often only detect the existence of faults, but cannot accurately determine the type and location of the fault, which brings difficulties to subsequent maintenance and replacement work.

[0003] An existing patent application provides a multiple evaluation method for the carrying capacity of distributed power sources connected to a distribution network. The patent number is CN202311089879.7. It proposes introducing dynamic factors into the boundary conditions after the distributed power sources are connected to the distribution network, and using a mathematical optimization algorithm to dynamically evaluate the carrying capacity of the distributed power sources after they are connected to the distribution network, thereby improving the response capability and safety performance under dynamic conditions; however, it is impossible to accurately determine the type and location of the fault, and it is impossible to inspect the distributed power access units on a large scale.

[0004] Therefore, a distributed power access unit calibration method is needed to improve the calibration efficiency and accuracy of the distributed power access unit, comprehensively evaluate the performance of the unit, and accurately diagnose and locate faults. Summary of the invention

[0005] The present invention provides a distributed power access unit calibration method and system to solve the problem of how to calibrate the distributed power access unit.

[0006] In order to solve the above problem, according to one aspect of the present invention, a verification method for a distributed power supply access unit is provided, the method comprising:

[0007] Perform parameter configuration on the distributed power access unit to be detected;

[0008] Connecting the distributed power supply access unit to a verification device via an adaptive wiring terminal;

[0009] Performing static performance test, dynamic performance test and safety test on the distributed power access unit;

[0010] Record and analyze the data during the test and obtain the inspection report.

[0011] Preferably, the step of performing parameter configuration on the distributed power access unit to be detected includes:

[0012] According to the technical specifications and performance indicators of the distributed power access unit, corresponding inspection parameters are configured; wherein the inspection parameters include: voltage, current, power and frequency.

[0013] Preferably, the adaptive terminal comprises: an interface unit, a signal protection unit, an insulator unit and a fixing unit; the signal output end of the interface unit is connected to the signal input end of the signal protection unit, the insulator unit is located outside the adaptive terminal, and the fixing unit is located at the bottom of the adaptive terminal.

[0014] Preferably, the static performance test, dynamic performance test and safety test of the distributed power access unit include:

[0015] When performing a static performance test, the input and output parameters of the distributed power access unit are tested and compared with the preset static performance standards to determine whether the static performance is qualified; wherein the parameters include: voltage fluctuation, current harmonics and power factor;

[0016] When conducting dynamic performance tests, the differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response and communication capabilities of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the distributed power access unit under dynamic conditions;

[0017] When conducting safety tests, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to verify whether it can quickly cut off power supply under abnormal conditions to protect the safety of the power grid and equipment, and issue an alarm through the fault alarm module.

[0018] Preferably, the method further comprises:

[0019] Based on the differential evolution bat model, the fault current signal uploaded by the distributed power access unit is judged to be encoded by judging its presence and flow direction, an assumption is made on whether the distributed power access unit operates normally, a reasonable fitness function is set, and the differential evolution bat model is used to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

[0020] According to another aspect of the present invention, a verification system for a distributed power supply access unit is provided, the system comprising:

[0021] A parameter configuration module, used for performing parameter configuration on the distributed power access unit to be detected;

[0022] An access module, used to connect the distributed power access unit to a verification device through an adaptive terminal;

[0023] A test module, used to perform static performance test, dynamic performance test and safety test on the distributed power access unit;

[0024] The analysis module is used to record and analyze the data during the test and obtain the inspection report.

[0025] Preferably, the parameter configuration unit performs parameter configuration on the distributed power access unit to be detected, including:

[0026] According to the technical specifications and performance indicators of the distributed power access unit, corresponding inspection parameters are configured; wherein the inspection parameters include: voltage, current, power and frequency.

[0027] Preferably, the adaptive terminal comprises: an interface unit, a signal protection unit, an insulator unit and a fixing unit; the signal output end of the interface unit is connected to the signal input end of the signal protection unit, the insulator unit is located outside the adaptive terminal, and the fixing unit is located at the bottom of the adaptive terminal.

[0028] Preferably, the test module performs static performance test, dynamic performance test and safety test on the distributed power access unit, including:

[0029] When performing a static performance test, the input and output parameters of the distributed power access unit are tested and compared with the preset static performance standards to determine whether the static performance is qualified; wherein the parameters include: voltage fluctuation, current harmonics and power factor;

[0030] When conducting dynamic performance tests, the differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response and communication capabilities of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the distributed power access unit under dynamic conditions;

[0031] When conducting safety tests, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to verify whether it can quickly cut off power supply under abnormal conditions to protect the safety of the power grid and equipment, and issue an alarm through the fault alarm module.

[0032] Preferably, the test module is further used for:

[0033] Based on the differential evolution bat model, the fault current signal uploaded by the distributed power access unit is judged to be encoded by judging its presence and flow direction, an assumption is made on whether the distributed power access unit operates normally, a reasonable fitness function is set, and the differential evolution bat model is used to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

[0034] The present invention provides a verification method and system for a distributed power access unit, including: configuring parameters of a distributed power access unit to be tested; connecting the distributed power access unit to a verification device through an adaptive terminal block; performing static performance tests, dynamic performance tests, and safety tests on the distributed power access unit; and recording and analyzing data during the test to obtain a verification report. The present invention can improve the inspection efficiency and accuracy of the distributed power access unit, can comprehensively evaluate the performance of the unit, and accurately diagnose and locate faults; by introducing a differential evolution bat model, a comprehensive, efficient, and accurate inspection of the distributed power access unit is achieved, and the inspection process can be automatically completed, reducing manual intervention and improving inspection efficiency; at the same time, the method of the present invention also focuses on the dynamic performance and safety performance of the unit, can comprehensively evaluate the performance of the unit, and accurately diagnose and locate faults, providing strong support for subsequent maintenance and replacement work. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0036] Figure 1 is a flow chart of a verification method 100 of a distributed power supply access unit according to an embodiment of the present invention;

[0037] Figure 2 A flowchart of a differential evolution bat model according to an embodiment of the present invention;

[0038] Figure 3 A working principle diagram of a differential evolution bat model according to an embodiment of the present invention;

[0039] Figure 4 4 is a schematic diagram of the structure of a verification system 400 for a distributed power supply access unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0041] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0042] Figure 1 FIG. 1 is a flow chart of a verification method 100 for a distributed power supply access unit according to an embodiment of the present invention. Figure 1 As shown, the verification method of the distributed power access unit provided by the embodiment of the present invention can improve the inspection efficiency and accuracy of the distributed power access unit, comprehensively evaluate the performance of the unit and accurately diagnose and locate faults; by introducing the differential evolution bat model, a comprehensive, efficient and accurate inspection of the distributed power access unit is achieved, and the inspection process can be automatically completed, reducing manual intervention and improving inspection efficiency; at the same time, the method of the present invention also pays attention to the dynamic performance and safety performance of the unit, can comprehensively evaluate the performance of the unit, and accurately diagnose and locate faults, providing strong support for subsequent maintenance and replacement work. The verification method 100 of the distributed power access unit provided by the embodiment of the present invention starts from step 101. In step 101, the distributed power access unit to be inspected is parameterized.

[0043] Preferably, the step of performing parameter configuration on the distributed power access unit to be detected includes:

[0044] According to the technical specifications and performance indicators of the distributed power access unit, corresponding inspection parameters are configured; wherein the inspection parameters include: voltage, current, power and frequency.

[0045] In the present invention, corresponding inspection parameters are configured according to the technical specifications and performance indicators of the distributed power access unit, including at least: voltage, current, power and frequency.

[0046] In step 102, the distributed power supply access unit is connected to a verification device via an adaptive connection terminal.

[0047] Preferably, the adaptive terminal comprises: an interface unit, a signal protection unit, an insulator unit and a fixing unit; the signal output end of the interface unit is connected to the signal input end of the signal protection unit, the insulator unit is located outside the adaptive terminal, and the fixing unit is located at the bottom of the adaptive terminal.

[0048] In the present invention, the adaptive terminal block is adaptive and adapts to the interface type and specification of the existing distributed power access unit; the interface unit includes a pin row unit and a wire unit; the pin row unit includes two pin row bases, one pin row base has 4 pins, and the other pin row base has 2 pins; the wire unit has 6 wires, which correspond to the 6 pins respectively; one end of the adaptive terminal block is connected to the output interface of the distributed power access unit, and the other end of the adaptive terminal block is connected to the input interface of the inspection device.

[0049] In the present invention, the distributed power access unit inspection method is completed based on the following hardware modules, including a data acquisition module, a communication module, a power quality analysis module, a main control module, a data analysis module, a storage module and a display and human-computer interaction module; the data acquisition module is responsible for collecting various data from the distributed power access unit, including at least voltage, current, power and frequency, and is directly connected to the distributed power access unit through analog and digital interfaces to ensure the real-time and accuracy of the data; the communication module is responsible for communicating with the host computer and the monitoring system, and the communication module has a built-in communication controller and a physical interface circuit to realize data sending and receiving; the power quality analysis module analyzes the collected power quality data, is usually connected to the data acquisition module, receives the original data and performs analysis and processing; the main control module is responsible for executing control commands, such as adjusting the output power and switching the operating mode, is connected to the distributed power access unit through the control interface, sends control signals and receives feedback signals; the display and human-computer interaction module is used to display the inspection results and the operation interface to facilitate user interaction and operation. The signal output end of the data acquisition module is connected to the signal input end of the power quality analysis module, the signal output end of the power quality analysis module is connected to the signal input end of the communication module, the signal output end of the communication module is connected to the signal input end of the main control module, the signal output end of the main control module is connected to the signal input end of the data analysis module, and the signal output end of the data analysis module is connected to the signal input end of the display and human-computer interaction module.

[0050] In the present invention, the distributed power access unit includes a type I distributed power access unit and a type II distributed power access unit. The communication interchange capability test of the type I distributed power access unit includes a master station, a collection terminal, a dual-mode communication unit and an extended communication unit; the communication interchange capability test of the type II distributed power access unit includes a master station, a collection terminal and a dual-mode communication unit.

[0051] In step 103, static performance test, dynamic performance test and safety test are performed on the distributed power access unit.

[0052] Preferably, the static performance test, dynamic performance test and safety test of the distributed power access unit include:

[0053] When performing a static performance test, the input and output parameters of the distributed power access unit are tested and compared with the preset static performance standards to determine whether the static performance is qualified; wherein the parameters include: voltage fluctuation, current harmonics and power factor;

[0054] When conducting dynamic performance tests, the differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response and communication capabilities of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the distributed power access unit under dynamic conditions;

[0055] When conducting safety tests, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to verify whether it can quickly cut off power supply under abnormal conditions to protect the safety of the power grid and equipment, and issue an alarm through the fault alarm module.

[0056] Preferably, the method further comprises:

[0057] Based on the differential evolution bat model, the fault current signal uploaded by the distributed power access unit is judged to be encoded by judging its presence and flow direction, an assumption is made on whether the distributed power access unit operates normally, a reasonable fitness function is set, and the differential evolution bat model is used to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

[0058] In the present invention, during static testing, under static conditions, the input and output parameters of the distributed power access unit are tested, including at least voltage fluctuations, current harmonics and power factor, and compared with preset static performance standards to determine whether they are qualified.

[0059] The methods of static performance testing include manual testing and automated testing; the manual testing is performed by professional testers to conduct code checking, design document review and interface testing; the automated testing can automatically scan the source code and test the input and output parameters of the distributed power access unit.

[0060] In the present invention, when performing dynamic performance testing, a differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response capability and communication capability of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the unit under dynamic conditions; the differential evolution bat model includes an initial population generation module, a bat algorithm module, a differential evolution module, an objective function evaluation module and a convergence judgment module; the signal output end of the initial population generation module is connected to the signal input end of the objective function evaluation module, the signal output end of the objective function evaluation module is connected to the signal input end of the bat algorithm module, the signal output end of the objective function evaluation module is connected to the signal input end of the differential evolution module, the signal output end of the differential evolution module is connected to the signal input end of the objective function evaluation module, the signal output end of the bat algorithm module is connected to the signal input end of the objective function evaluation module, and the signal output ends of the bat algorithm module and the differential evolution module are connected to the signal input end of the convergence judgment module.

[0061] In the present invention, when the distributed power access unit is subjected to a safety test, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to ensure that it can quickly cut off the power supply in an abnormal situation, protect the safety of the power grid and equipment, and sound an alarm through a fault alarm module.

[0062] In the present invention, the frequency in the differential evolution bat model determines the way the bat searches for a new location, and the pulse frequency update formula is:

[0063]

[0064] In formula (1), F i is the bat pulse frequency, F min is the minimum pulse frequency of the bat, F max The maximum pulse frequency of bats, α is the attenuation coefficient, and β is the variation factor;

[0065] The bat's speed update formula is:

[0066]

[0067] In formula (2), is the speed of the bat after the update, is the bat's current speed, is the bat's current position, X m is the current optimal solution position of the bat, t is the time, and i is the number of bats;

[0068] The bat position update formula is:

[0069]

[0070] In formula (3), The bat's updated position;

[0071] Search locally. Once a new solution is selected from the current best solution, the new local solution is generated using a random walk. The mathematical operation expression for updating the position is:

[0072]

[0073] X o is the previous local solution, X n is a new local solution, A t is the average loudness of the entire group within the same generation.

[0074] In the invention, the predecessor formula of the pulse frequency update formula is:

[0075] F i =F min +(F max -F min )⑸

[0076] Formula (1) adds the decay coefficient α and the variation factor β to Formula (5), and uses the logarithmic function and the cosine function to increase the randomness, so that the bats search in different ways in each iteration; the decay coefficient α controls the decay speed of the pulse frequency with the number of iterations, and determines how the bats adjust their search strategy to better adapt to the current environment or problem; the variation factor β is used to introduce randomness to help the bats jump out of possible local optimal solutions and increase the possibility of finding the global optimal solution. By adjusting the size of the variation factor, the balance between exploration and utilization in the bat search process can be controlled; the minimum pulse frequency F of the bat min Ensure that bats do not jump to completely irrelevant areas at excessive speed or in excessive manner during the search process; the maximum pulse frequency F of the bat max Limits the maximum range and speed of bat searches.

[0077] The predecessor formula of the bat speed update formula is:

[0078]

[0079] Formula (2) adds the attenuation coefficient α and the variation factor β to Formula (6), and uses the logarithmic function and cosine function to adjust the difference. The bat can adjust the flight speed according to the difference between the current position and the optimal position;

[0080] The predecessor formula of the bat position update formula is:

[0081]

[0082] Formula (3) adds the attenuation coefficient α and the variation factor β to Formula (7), and uses the logarithmic function and the cosine function to adjust the speed so that the bat can quickly find the updated position; the variation factor β adjusts the search behavior of the algorithm and is used to control the search step size, speed or other factors related to the position update.

[0083] In the present invention, the idealized rule of the bat algorithm module is:

[0084] (1) All bats use echolocation to sense distance;

[0085] (2) Bats fly randomly and at a fixed frequency, automatically adjusting the wavelength and pulse loudness to search for prey according to their proximity to the target prey;

[0086] (3) Pulse loudness can change in various ways. The algorithm assumes that it changes from a maximum value to a minimum constant value, and the range of change depends on the problem.

[0087] In the present invention, the working principle of the differential evolution module is:

[0088] (1) Mutation operation: randomly select two bats in the population, calculate the difference vector between the bats, and perform a linear combination with the vector of the third bat to generate a new bat position;

[0089] (2) Crossover operation, randomly exchanging the dimensions of the target bat and the mutant bat to generate the test bat;

[0090] (3) Selection operation: if the fitness value of the test bat is higher than that of the target bat, the test bat is selected to enter the next generation; otherwise, the target bat is retained.

[0091] Combination Figure 2 and Figure 3 As shown, in the present invention, the workflow of the differential evolution bat model is:

[0092] (1) The initial population generation module initializes the optimization function f(x) and algorithm parameters. The main algorithm parameters include the bat population size M, the bat maximum pulse frequency F max , the minimum pulse frequency F of the bat min , the dimension of the solution D, the bat pulse emission rate Ri , impulse loudness A i , maximum number of iterations N, decay coefficient α, variation factor β and termination condition;

[0093] (2) Initialize the starting position and speed of each bat and randomly generate n pulse frequencies F within the frequency limit. i , generating N D-dimensional zero vectors to represent the starting speed of each bat Randomly generate N D-dimensional zero vectors to represent the starting position of each bat

[0094] (3) Calculating the function fitness value f of the initial population, and using the objective function evaluation module to evaluate the fitness value of each bat in the population;

[0095] (4) According to formula (1) ～ (3) Update speed and position;

[0096] (5) Generate random probability p1, if p1>R i , then locally perturb the optimal solution of the current bat location and record the new solution X after the perturbation n ;

[0097] (6) Generate random probability p2, if p2 i , and the fitness value of the objective function is better than the fitness value in (3), then accept the position;

[0098] (7) Determine whether the algorithm meets the termination condition. If so, go to (8); otherwise, go to (4);

[0099] (8) Output the location of the optimal bat and the corresponding fitness value.

[0100] In the present invention, the impulse loudness A i Determines the range of the bat's global search. A larger pulse loudness means that the bat explores farther in the search space, so the pulse loudness is set to a larger initial value. When a better solution is found, the bat will reduce its pulse loudness, which means that after determining a promising area, the search range is reduced and a more refined local search is performed. The pulse emission rate R i Initially set to a smaller value, the pulse emission rate determines the probability of a bat to perform a random search. A higher pulse means that the bat is more inclined to conduct a local search near the current position rather than moving to a new position. During the iteration of the algorithm, the pulse emission rate gradually increases based on finding a better solution, which helps the bat to concentrate on searching in promising areas when approaching the global optimal solution.

[0101] ​In the present invention, each iteration in the differential evolution bat model is an exploration process, searching in the solution space in a random and heuristic manner. In this process, the new position of the bat is not always better than the previous position. This phenomenon is normal, especially in the early stages of the algorithm, when the algorithm is more inclined to exploration. The following are several reasons that may cause the bat position to deteriorate:

[0102] (1) Randomness: The random movement in the differential evolution bat model allows bats to explore new areas far away from the current optimal solution. This random exploration helps the algorithm avoid falling into the local optimal solution, but it also means that not every move will produce a better result.

[0103] (2) Balance between exploration and exploitation: In the early iteration stage, the algorithm may focus more on exploring the entire solution space rather than searching only near the known optimal solution. This helps find a wider range of potential solutions, although it may not seem to be effective in the short term.

[0104] (3) The influence of loudness and pulse emission rate. In the differential evolution bat model, the settings of loudness and pulse emission rate will also affect the behavior of bats. Higher loudness may cause bats to accept worse solutions, while higher pulse emission rate may increase the probability of bats moving randomly.

[0105] (4) Global and local search. The algorithm switches between global search and local search. During the global search stage, bats may explore areas in the solution space with poor results.

[0106] In the present invention, the role of the differential evolution bat model in the distributed power access unit inspection method is:

[0107] (1) Global search capability: The differential evolution bat model can perform a global search in the entire search space to find the best matching location and working state of the distributed generation access unit;

[0108] (2) Local optimization capability: By simulating the echolocation behavior of bats, the differential evolution bat model can perform accurate local search near the search target to achieve more accurate optimization and fault detection;

[0109] (3) Adaptability: the differential evolution bat model dynamically adjusts the search strategy based on the feedback during the search process to adapt to the inspection requirements of different distributed power access units;

[0110] (4) Robustness: The differential evolution bat model is insensitive to the setting of initial parameters and can work effectively in different search spaces.

[0111] In the present invention, the basic principle of fault location using the differential evolution bat model is to encode the fault current signal uploaded by the distributed power access unit by judging the presence and flow direction of the fault current signal, make assumptions about whether the distributed power access unit operates normally, set a reasonable fitness function, and use the basic principle of the differential evolution bat model to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

[0112] In a specific embodiment, the main process of fault location using the differential evolution bat model is as follows:

[0113] (1) According to the information of the distributed power access unit, the passive branches of the fault-free current are first removed, and the number of variables in the algorithm is determined, where the variables represent the fault status of the distributed power access unit, 0 indicates no fault, and 1 indicates a fault;

[0114] (2) Initialization of differential evolution bat model parameters;

[0115] (3) Randomly generate an initial solution, convert it into a switching function of each switch, and calculate the evaluation function of the initial solution;

[0116] (4) Generate new solutions through differential evolution of bat model rules;

[0117] (5) By comparing the generated random number with the bat pulse emission rate and loudness, it is decided whether to locally perturb the solution and accept the new solution;

[0118] (6) Update bat pulse emission rate and pulse loudness;

[0119] (7) Determine whether the termination condition is met. If so, exit the loop. If not, repeat (4), (5), and (6).

[0120] In the present invention, the fault alarm module includes a fault monitoring unit, a fault judgment unit, an alarm notification unit, a fault recovery unit and a fault recording unit; the signal output end of the fault monitoring unit is connected to the signal input end of the fault judgment unit, the signal output end of the fault judgment unit is connected to the signal input end of the alarm notification unit, and the signal output end of the fault judgment unit is connected to the signal input end of the fault recording unit; the fault monitoring unit monitors the electrical parameters of the distributed power access unit in real time through the differential evolution bat model, and when an abnormal situation of overcurrent, overvoltage, undervoltage or short circuit is detected, the signal is transmitted to the fault judgment unit; the fault judgment unit makes a judgment based on a preset threshold to determine whether a fault has occurred and the type and severity of the fault; the alarm notification unit notifies the management personnel through sound and light alarms, sending text messages or emails, and displays the fault information on the monitoring page.

[0121] In step 104, the data during the test is recorded and analyzed to obtain a test report.

[0122] In the present invention, the data obtained during the inspection process is recorded and analyzed, and the data is processed using statistical analysis and machine learning algorithms to generate an inspection report to provide a basis for subsequent maintenance and optimization.

[0123] Figure 4 FIG. 4 is a schematic diagram of the structure of a verification system 400 for a distributed power access unit according to an embodiment of the present invention. Figure 4 As shown, the distributed power access unit verification system 400 provided in the embodiment of the present invention includes: a parameter configuration module 401, an access module 402, a test module 403 and an analysis module 404.

[0124] Preferably, the parameter configuration module 401 is used to perform parameter configuration on the distributed power supply access unit to be detected.

[0125] Preferably, the parameter configuration module 401 performs parameter configuration on the distributed power access unit to be detected, including:

[0126] According to the technical specifications and performance indicators of the distributed power access unit, corresponding inspection parameters are configured; wherein the inspection parameters include: voltage, current, power and frequency.

[0127] Preferably, the access module 402 is used to connect the distributed power access unit to a verification device via an adaptive terminal.

[0128] Preferably, the adaptive terminal comprises: an interface unit, a signal protection unit, an insulator unit and a fixing unit; the signal output end of the interface unit is connected to the signal input end of the signal protection unit, the insulator unit is located outside the adaptive terminal, and the fixing unit is located at the bottom of the adaptive terminal.

[0129] Preferably, the testing module 403 is used to perform a static performance test, a dynamic performance test and a safety test on the distributed power supply access unit.

[0130] Preferably, the test module 403 performs static performance test, dynamic performance test and safety test on the distributed power access unit, including:

[0131] When performing a static performance test, the input and output parameters of the distributed power access unit are tested and compared with the preset static performance standards to determine whether the static performance is qualified; wherein the parameters include: voltage fluctuation, current harmonics and power factor;

[0132] When conducting dynamic performance tests, the differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response and communication capabilities of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the distributed power access unit under dynamic conditions;

[0133] When conducting safety tests, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to verify whether it can quickly cut off power supply under abnormal conditions to protect the safety of the power grid and equipment, and issue an alarm through the fault alarm module.

[0134] Preferably, the testing module 403 is further used for:

[0135] Based on the differential evolution bat model, the fault current signal uploaded by the distributed power access unit is judged to be encoded by judging its presence and flow direction, an assumption is made on whether the distributed power access unit operates normally, a reasonable fitness function is set, and the differential evolution bat model is used to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

[0136] Preferably, the analysis module 404 is used to record and analyze the data during the test and obtain a test report.

[0137] The verification system 400 for a distributed power access unit according to the embodiment of the present invention corresponds to the verification method 100 for a distributed power access unit according to another embodiment of the present invention, and will not be described in detail herein.

[0138] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.

[0139] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise therein. All references to "a / said / the [means, components, etc.]" are to be openly interpreted as at least one instance of said means, components, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily have to be performed in the exact order disclosed, unless explicitly stated otherwise.

[0140] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0141] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0142] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0143] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for verifying a distributed power supply access unit, characterized in that: The method comprises: Perform parameter configuration on the distributed power access unit to be detected; Connecting the distributed power supply access unit to a verification device via an adaptive wiring terminal; Performing static performance test, dynamic performance test and safety test on the distributed power access unit; Record and analyze the data during the test and obtain the inspection report.

2. The method according to claim 1, characterized in that The parameter configuration of the distributed power access unit to be detected includes: According to the technical specifications and performance indicators of the distributed power access unit, corresponding inspection parameters are configured; wherein the inspection parameters include: voltage, current, power and frequency.

3. The method according to claim 1, characterized in that: The adaptive terminal comprises: an interface unit, a signal protection unit, an insulator unit and a fixing unit; the signal output end of the interface unit is connected to the signal input end of the signal protection unit, the insulator unit is located outside the adaptive terminal, and the fixing unit is located at the bottom of the adaptive terminal.

4. The method according to claim 1, characterized in that: The static performance test, dynamic performance test and safety test of the distributed power access unit include: When performing a static performance test, the input and output parameters of the distributed power access unit are tested and compared with the preset static performance standards to determine whether the static performance is qualified; wherein the parameters include: voltage fluctuation, current harmonics and power factor; When conducting dynamic performance tests, the differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response and communication capabilities of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the distributed power access unit under dynamic conditions; When conducting safety tests, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to verify whether it can quickly cut off power supply under abnormal conditions to protect the safety of the power grid and equipment, and issue an alarm through the fault alarm module.

5. The method according to claim 4, characterized in that The method further comprises: Based on the differential evolution bat model, the fault current signal uploaded by the distributed power access unit is judged to be encoded by judging its presence and flow direction, an assumption is made on whether the distributed power access unit operates normally, a reasonable fitness function is set, and the differential evolution bat model is used to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

6. A distributed power access unit calibration system, characterized in that: The system comprises: A parameter configuration module, used for performing parameter configuration on the distributed power access unit to be detected; An access module, used to connect the distributed power access unit to a verification device through an adaptive terminal; A test module, used to perform static performance test, dynamic performance test and safety test on the distributed power access unit; The analysis module is used to record and analyze the data during the test and obtain the inspection report.

7. The system according to claim 6, characterized in that The parameter configuration module performs parameter configuration on the distributed power access unit to be detected, including: According to the technical specifications and performance indicators of the distributed power access unit, corresponding inspection parameters are configured; wherein the inspection parameters include: voltage, current, power and frequency.

8. The system according to claim 6, characterized in that The adaptive terminal comprises: an interface unit, a signal protection unit, an insulator unit and a fixing unit; the signal output end of the interface unit is connected to the signal input end of the signal protection unit, the insulator unit is located outside the adaptive terminal, and the fixing unit is located at the bottom of the adaptive terminal.

9. The system according to claim 6, characterized in that The test module performs static performance test, dynamic performance test and safety test on the distributed power access unit, including: When performing a static performance test, the input and output parameters of the distributed power access unit are tested and compared with the preset static performance standards to determine whether the static performance is qualified; wherein the parameters include: voltage fluctuation, current harmonics and power factor; When conducting dynamic performance tests, the differential evolution bat model is used to simulate bat echolocation behavior, simulate the fluctuations and changes of the power grid, test the response and communication capabilities of the distributed power access unit, and find the optimal test parameter combination through the iterative optimization process of the differential evolution bat model to evaluate the performance of the distributed power access unit under dynamic conditions; When conducting safety tests, the overcurrent, overvoltage, undervoltage and short-circuit protection functions of the distributed power access unit are tested to verify whether it can quickly cut off power supply under abnormal conditions to protect the safety of the power grid and equipment, and issue an alarm through the fault alarm module.

10. The system according to claim 9, characterized in that The test module is also used for: Based on the differential evolution bat model, the fault current signal uploaded by the distributed power access unit is judged to be encoded by judging its presence and flow direction, an assumption is made on whether the distributed power access unit operates normally, a reasonable fitness function is set, and the differential evolution bat model is used to convert the fault location problem into a 0-1 optimization problem to find the optimal solution, i.e., the fault location.

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