Automatic configuration control method and system for 10-kilovolt line protection

Abstract

The invention discloses a 10-kilovolt line protection automatic configuration control method and system, and relates to the technical field of line configuration control, and the method comprises the following steps: obtaining electrical characteristic data of an island system, building an equivalent model according to frequency band aggregation, and outputting equivalent impedance; analyzing impedance dispersion degrees of different frequency bands, determining a control range, disturbing the equivalent impedance, and generating to-be-controlled equivalent impedance; obtaining an initial electromagnetic interference propagation path energy ratio, carrying out random disturbance based on clustering to obtain a to-be-controlled energy ratio, and randomly combining the to-be-controlled energy ratio with to-be-controlled equivalent impedance to obtain a plurality of line protection configurations; the optimal line protection configuration is screened based on the Pareto optimal solution and applied to a line protection device controller, and the problem that in a traditional method, cooperative control over line impedance change and electromagnetic interference energy distribution is not carried out, and consequently the accuracy of line protection control configuration is reduced is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of line configuration control, and more specifically, to a 10 kV line protection automatic configuration control method and system. Background Art

[0002] In 10kV distribution networks, with the large-scale access of distributed power sources, island operation modes are becoming more frequent, and traditional line protection devices are facing challenges such as reduced recognition accuracy and increased probability of misjudgment. Especially in scenarios with complex electromagnetic environments or intertwined conduction and radiation interference paths, the electrical quantity sampling of protection devices is prone to distortion, causing protection misoperation or refusal to operate.

[0003] In the power system, the impedance characteristics of each frequency band may vary greatly, especially in the isolated island system, due to factors such as load changes and different equipment states, the impedance dispersion between frequency bands may be high; in addition, the energy proportion of electromagnetic interference propagation paths refers to the proportion of interference energy that can be transmitted when electromagnetic interference signals propagate through different propagation paths (such as electrical lines, equipment, etc.) in the power system to the total interference energy of the entire system. It reflects the relative contribution of each path to electromagnetic interference. For example, in an isolated island system, the electrical characteristics of different paths (such as impedance, coupling, etc.) will affect the propagation degree of electromagnetic interference signals, and different paths will have different effects on the transmission of interference energy.

[0004] For example, the invention patent with announcement number CN116482973A announces a method and system for self-anti-interference control of load frequency in a power system. The method includes: obtaining the bandwidth of the controller, determining the controller parameters according to the bandwidth of the controller; obtaining the bandwidth of the expandable state observer, and determining the various parameters of the expandable state matrix. The embodiment of the present invention can achieve a good control effect by adjusting the parameters of the controller and the expandable state observer. The control is simple and can make the frequency deviation and regional control error approach zero. Moreover, the control method is highly robust and can still achieve the control purpose in the case of parameter changes and uncertain external disturbances.

[0005] For example, the invention patent announcement with the announcement number CN113625678A discloses a port impedance automatic simulation test method, which applies voltage to each port of the circuit under test in turn, calculates the corresponding port current, and then calculates the equivalent impedance of each port according to Ohm's law. The port impedance automatic simulation test method first sets the active device in the circuit under test to zero, and assigns a unique and fixed network identification number to each terminal of the circuit under test. Then, according to the test requirements, the test sequence is listed. Further, an independent voltage source specially used to measure the circuit port impedance is introduced into the circuit simulation diagram, and a network identification number is assigned to its positive and negative terminals according to the test sequence. By matching the network identification number of the independent voltage source terminal with the terminal of the circuit under test, an electrical connection is achieved. The present invention improves the efficiency of obtaining impedance values. At the same time, it avoids errors caused by manual analysis or calculation errors, and improves the accuracy of the obtained port impedance value.

[0006] The above disclosed technical solutions have at least the following technical problems: when performing automatic configuration control of 10 kV line protection, it is particularly important to consider the impedance change of the line and the proportion of electromagnetic interference energy in different paths. The impedance change of the line will cause the distribution change of the line current and voltage, which will lead to the misoperation or failure of the protection device; secondly, the proportion of electromagnetic interference energy in different paths will affect the communication, signal reception and processing capabilities of the line protection device, resulting in the protection device being unable to accurately receive fault signals or respond to erroneous signals.

[0007] However, in the conventional method, no coordinated control is performed between line impedance variation and electromagnetic interference energy distribution, resulting in reduced accuracy of line protection control configuration. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0008] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a 10 kV line protection automatic configuration control method and system. By constructing an equivalent model and screening the line protection control configuration, an optimal configuration method for the protection system parameters is obtained to solve the problem that in the traditional method, there is no coordinated control of the line impedance change and the electromagnetic interference energy distribution, resulting in reduced accuracy of the line protection control configuration.

[0009] To achieve the above object, the present invention provides the following technical solutions: A 10 kV line protection automatic configuration control method comprises the following steps: acquiring electrical characteristic data of an island system, constructing an equivalent model by frequency band aggregation and outputting an equivalent impedance; analyzing the impedance discreteness of different frequency bands, determining a control range, perturbing the equivalent impedance, and generating an equivalent impedance to be controlled; acquiring an energy proportion of an initial electromagnetic interference propagation path, performing random perturbations based on clustering to obtain an energy proportion to be controlled, and randomly combining the energy proportion with the equivalent impedance to be controlled to obtain a number of line protection control configurations; and screening an optimal line protection control configuration based on a Pareto optimal solution, and applying the optimal line protection control configuration to a line protection device controller.

[0010] In a preferred embodiment, the electrical characteristic data of the island system is obtained, an equivalent model is constructed by frequency band aggregation, and an equivalent impedance is output, specifically: the electrical parameters of the distributed power access point are obtained, and the time-frequency domain coupling characteristics are extracted based on wavelet transform to obtain a device association matrix; a multi-time scale dynamic equation is constructed based on the device association matrix combined with network topology constraints to obtain electrical quantity characteristic data, and wavelet decomposition is performed to obtain several frequency bands; the energy entropy values ​​of several frequency bands are calculated, and the frequency bands are aggregated according to a preset first weight to obtain second weight values ​​of several frequency bands; an equivalent model is constructed based on the second weight values ​​of several frequency bands and the equivalent impedance is output.

[0011] In a preferred embodiment, the second weight values ​​based on several frequency bands are used to construct an equivalent model and output an equivalent impedance, specifically: a frequency domain impedance model for each frequency band is established based on voltage and current characteristics, and a frequency band coupling matrix is ​​calculated; a frequency domain impedance model for each frequency band is weightedly fused according to the frequency band coupling matrix to obtain an equivalent model; and frequency band impedance values ​​are weightedly fused based on the equivalent model to obtain an equivalent impedance.

[0012] In a preferred embodiment, the impedance dispersion degree of different frequency bands is analyzed, the control range is determined, the equivalent impedance is perturbed, and the equivalent impedance to be controlled is generated, specifically: the impedance of each frequency band is obtained, and the average impedance of the frequency band is calculated; the dispersion degree of the impedance of each frequency band and the average impedance is analyzed, and the control range is dynamically determined based on the dispersion degree; within the control range, the equivalent impedance is perturbed to obtain a plurality of equivalent impedances to be controlled.

[0013] In a preferred embodiment, the method of obtaining the energy proportion of the initial electromagnetic interference propagation path is specifically as follows: obtaining an electromagnetic radiation signal and obtaining a frequency domain signal based on a fast Fourier transform; dividing the frequency domain signal into multiple frequency bands and integrating the power of each frequency band to obtain a first power proportion of each frequency band; constructing a propagation model of the path, and calculating the coupling coefficient between the paths; weighting the first power proportion and the coupling coefficient of each frequency band to obtain a first coupled interference energy of each path; calculating the ratio of the first coupled interference energy of each path to the total interference energy to obtain the initial electromagnetic interference energy proportion of each path.

[0014] In a preferred embodiment, the random perturbation based on clustering obtains the energy proportion to be controlled, and randomly combines it with the equivalent impedance to be controlled to obtain several line protection control configurations, specifically: obtaining the coupling characteristic data of each path, and constructing a path characteristic matrix; using a clustering algorithm to perform cluster analysis on the path characteristic matrix to obtain several path clusters; calculating the variation information entropy of the initial electromagnetic interference energy proportion of the path in each path cluster, and constructing a disturbance factor sampling range; based on the disturbance factor sampling range, using Beta distribution to sample the disturbance factor to obtain the energy disturbance factor of each path in each path cluster; multiplying the initial electromagnetic interference energy proportion of each path by the energy disturbance factor to obtain several energy proportions to be controlled; arranging and combining several equivalent impedances to be controlled and several energy proportions to be controlled to obtain several line protection control configurations.

[0015] In a preferred embodiment, the screening of the optimal line protection control configuration based on the Pareto optimal solution is specifically as follows: defining the control objectives and constructing the objective function corresponding to each control objective; calculating the objective function value of each line protection control configuration, and using the Pareto optimization method to perform non-dominated sorting on all line protection control configurations to obtain a Pareto optimal line protection control configuration set in which each control objective cannot be simultaneously exceeded by other combinations; and selecting the optimal line protection control configuration that best suits the current control system constraints and protection misjudgment tolerance requirements from the Pareto optimal line protection control configuration set.

[0016] In a preferred embodiment, the application to the line protection device controller specifically includes: converting the optimal line protection control configuration into a parameter format to obtain the optimal line protection control configuration parameters; The optimal line protection control configuration parameters are written into the control module of the protection device through the communication interface of the control system, overwriting the initial parameters to obtain the first configuration parameters; the first configuration parameters are overloaded according to the controller in the control module to switch the optimal line protection action.

[0017] The technical effects and advantages of the 10 kV line protection automatic configuration control method and system of the present invention are as follows: 1. The present invention can accurately construct an equivalent model and output equivalent impedance by comprehensively analyzing the electrical characteristic data of the island system and extracting the time-frequency domain coupling characteristics using wavelet transform. This process not only ensures the detailed capture of each frequency band, but also enables the final equivalent impedance to truly reflect the complex electrical characteristics of the system by weighted fusion of impedance information of different frequency bands. Secondly, the method analyzes the impedance discreteness of the frequency band and dynamically determines the control range, and perturbs the equivalent impedance to generate the equivalent impedance to be controlled, so that the line protection configuration can be flexibly adjusted under different conditions, thereby improving the adaptability and accuracy of the system. The disturbance of the electromagnetic interference path is analyzed by a clustering algorithm, and a variety of line protection control configurations are generated by combining the random combination of energy disturbance factors and equivalent impedances, further enriching the selection of protection configurations, thereby ensuring that the optimal line protection strategy is selected in a complex electrical environment.

[0018] 2. The present invention screens the line protection control configuration through the Pareto optimal solution method, and accurately selects the most suitable configuration according to the constraints of the control system and the protection misjudgment tolerance requirements. By efficiently interacting with the interface of the control system, the optimal configuration parameters are written into the control module to ensure the optimized action switching of the protection device, and realize the coordinated control of the system frequency domain characteristics and interference energy distribution in the setting process of the protection device, effectively improving the accuracy and stability of line protection in complex interference environments, and is particularly suitable for the automatic configuration requirements of distribution network protection in multi-point access and multi-path interference scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a flowchart of a 10 kV line protection automatic configuration control method.

[0020] Figure 2 The present invention is a schematic structural diagram of a 10 kV line protection automatic configuration control system. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Embodiment 1, Figure 1 The present invention provides a 10 kV line protection automatic configuration control method, comprising the following steps: S1, obtain the electrical characteristic data of the island system, build an equivalent model by frequency band aggregation and output the equivalent impedance; In this example, the electrical characteristic data of the island system is obtained, and an equivalent model is constructed by frequency band aggregation and the equivalent impedance is output, specifically: The voltage, current and impedance parameters of the distributed power access point are obtained, and the time-frequency domain coupling characteristics are extracted based on wavelet transform to obtain the device association matrix; Based on the equipment association matrix and the network topology constraints, a multi-time scale dynamic equation is constructed to obtain the characteristic data of electrical quantities, and then wavelet decomposition is performed to obtain several frequency bands; Calculating energy entropy values ​​of a plurality of frequency bands, and aggregating the frequency bands according to a preset first weight, to obtain second weight values ​​of the plurality of frequency bands; An equivalent model is constructed based on the second weight values ​​of the plurality of frequency bands and an equivalent impedance is output.

[0023] It should be noted that by obtaining the voltage, current and impedance parameters of the distributed power access point and extracting the time-frequency domain coupling characteristics by wavelet transform, the dynamic changes and coupling relationships of the system can be fully captured, and the device association matrix can be generated, thereby providing accurate basic data for subsequent analysis. Then, combined with the network topology constraints, a multi-time scale dynamic equation is constructed based on the device association matrix, so that the electrical quantity characteristic data can be accurately expressed in multiple time dimensions, thereby better simulating the complex time-varying characteristics of the system. Further dividing the frequency band through wavelet decomposition can efficiently process multi-frequency information, and quantify the characteristics of each frequency band by calculating the energy entropy value, and then aggregate the frequency band according to the preset first weight to obtain the second weight value. This aggregation method can dynamically reflect the changes in the frequency characteristics of the system and provide more refined data support for building an equivalent model. Finally, the equivalent model constructed based on the second weight value can effectively output the equivalent impedance, further optimizing the electrical performance evaluation and protection strategy of the system.

[0024] In this example, an equivalent model is constructed based on the second weight values ​​of several frequency bands and the equivalent impedance is output, specifically: The frequency domain impedance model of each frequency band is established based on the voltage and current characteristics, and the frequency band coupling matrix is ​​calculated; The frequency domain impedance model of each frequency band is weightedly fused according to the frequency band coupling matrix to obtain an equivalent model; Based on the equivalent model, the frequency band impedance values ​​are weighted and fused to obtain the equivalent impedance.

[0025] It should be noted that by establishing the frequency domain impedance model of each frequency band through voltage and current characteristics, the response of the electrical characteristics in each frequency band can be described in detail, and by calculating the frequency band coupling matrix, the mutual influence and coupling relationship between different frequency bands can be captured, thereby providing multi-dimensional data support for further analysis. Then, based on the frequency band coupling matrix, the frequency domain impedance model of each frequency band is weighted and fused by using the weighted model fusion method, which can effectively integrate the impedance characteristics of different frequency bands and consider the interaction between frequency bands to obtain a more accurate equivalent model. This model can better reflect the overall characteristics of the system, avoid the limitations of a single frequency band model, and improve the accuracy of system analysis. Finally, the equivalent impedance is obtained by weighted fusion of the frequency band impedance values ​​of the equivalent model.

[0026] S2, analyze the impedance dispersion degree of different frequency bands, determine the control range, perturb the equivalent impedance, and generate the equivalent impedance to be controlled; In this example, the impedance dispersion in different frequency bands is analyzed, the control range is determined, the equivalent impedance is disturbed, and the equivalent impedance to be controlled is generated, specifically: Obtain the impedance of each frequency band and calculate the average impedance of the frequency band; Analyze the degree of dispersion of the impedance of each frequency band and the average impedance, and dynamically determine the control range based on the degree of dispersion; Within the control range, the equivalent impedance is disturbed to obtain several equivalent impedances to be controlled.

[0027] The control scope is as follows:

[0028] in, is the equivalent impedance, is a discrete value, is the preset disturbance factor.

[0029] It should be noted that obtaining the impedance of each frequency band and calculating its average impedance can provide a benchmark value for each frequency band, which provides a clear starting point for subsequent control. Next, by analyzing the degree of discreteness between the impedance of each frequency band and the average impedance, the stability and variation range of the impedance of each frequency band can be quantitatively evaluated. Based on this degree of discreteness, the control range is dynamically adjusted so that the adjustment process can more accurately adapt to the actual situation of frequency band changes in the power system, thereby avoiding over-adjustment or under-adjustment. Finally, the equivalent impedance is disturbed within the determined control range to generate several equivalent impedances to be controlled. This disturbance mechanism can simulate a variety of possible interference scenarios and enhance the system's ability to cope with complex electromagnetic environments. Overall, the advantage of this method is that it has strong dynamic adaptability, can flexibly adjust the control range according to the frequency band characteristics, improve the response accuracy and reliability of the line protection system, and thus provide more effective protection for the stable operation of the power system.

[0030] S3, obtaining the energy proportion of the initial electromagnetic interference propagation path, performing random perturbation based on clustering to obtain the energy proportion to be controlled, and randomly combining it with the equivalent impedance to be controlled to obtain several line protection control configurations; In this example, the energy ratio of the initial electromagnetic interference propagation path is obtained as follows: Acquire electromagnetic radiation signals and obtain frequency domain signals based on fast Fourier transform; Dividing the frequency domain signal into multiple frequency bands and integrating the power of each frequency band to obtain a first power ratio of each frequency band; Construct the propagation model of the path and calculate the coupling coefficient between the paths; The first power proportion and coupling coefficient of each frequency band are weighted to obtain the first coupling interference energy of each path; The ratio of the first coupled interference energy of each path to the total interference energy is calculated to obtain the initial electromagnetic interference energy ratio of each path.

[0031] Among them, the specific calculation formula of the coupling coefficient between paths is as follows:

[0032] in, is the coupling coefficient between path m and path n, is the impedance of path m, is the impedance of path n, and are the path lengths of path m and path n respectively.

[0033] It should be noted that, firstly, the electromagnetic signal is converted into a frequency domain signal by fast Fourier transform (FFT), which provides a basis for subsequent frequency domain analysis. The frequency domain signal is divided into frequency bands and the power of each frequency band is integrated, which can quantify the energy distribution of different frequency bands and obtain the first power proportion of each frequency band, which provides accurate power data for the subsequent path energy evaluation. Then, the path propagation model is constructed and the coupling coefficient is calculated, so that the system can accurately reflect the propagation characteristics of electromagnetic interference between different paths, further improving the accuracy of interference energy evaluation. The power proportion of each frequency band is combined with the weighted coupling coefficient, which can comprehensively consider the frequency band characteristics and path coupling effects, and calculate the coupled interference energy of the path. Finally, by calculating the ratio of the path coupling interference energy to the total interference energy, the initial electromagnetic interference energy proportion of each path is obtained, which provides a quantitative basis for the subsequent optimization control. The advantage of this method is that its high-precision and multi-dimensional evaluation method can more realistically reflect the interference characteristics of each path in a complex electromagnetic environment, thereby providing a more scientific basis for the control strategy of line protection.

[0034] In this example, random perturbations are performed based on clustering to obtain the energy proportion to be controlled, and then randomly combined with the equivalent impedance to be controlled to obtain several line protection control configurations, specifically: Obtain each path coupling characteristic data and construct a path characteristic matrix; Clustering algorithm is used to perform cluster analysis on the path feature matrix to obtain several path clusters; Calculate the variation information entropy of the initial electromagnetic interference energy ratio of each path cluster, and construct the sampling range of the disturbance factor; Based on the perturbation factor sampling range, Beta distribution is used to sample the perturbation factor to obtain the energy perturbation factor of each path in each path cluster; Multiply the initial electromagnetic interference energy proportion of each path by the energy disturbance factor to obtain a number of energy proportions to be controlled; A number of equivalent impedances to be controlled and a number of energy proportions to be controlled are arranged and combined to obtain a number of line protection control configurations.

[0035] Among them, the specific calculation formula of the variation information entropy of the initial electromagnetic interference energy ratio of each path cluster is as follows:

[0036] in, is the variation information entropy, is the kth path cluster, is the initial electromagnetic interference energy proportion of the mth path, is the initial electromagnetic interference energy proportion of the nth path.

[0037] Among them, the specific formula of the disturbance factor sampling range is as follows:

[0038] in, is the disturbance factor sampling range, is the preset weight coefficient.

[0039] It should be noted that the dynamic setting of the disturbance range of each frequency band based on discrete values ​​is specifically based on equivalent impedance, and the amplitude obtained by multiplying its discrete degree by the preset disturbance factor in the upward and downward directions is expanded to form the upper and lower disturbance boundaries; each coupling type cluster represents a set of coupling paths with similar characteristics; the advantage of Beta distribution is that the shape distribution is controllable and limited to [0,1], which is suitable for disturbance generation. By extracting the coupling characteristic data of each electromagnetic interference path, the path characteristic matrix is ​​constructed, and the clustering algorithm is used to perform cluster analysis on the path characteristic matrix to identify multiple path clusters, thereby realizing the classification of path structure similarity and interference behavior correlation. On this basis, the energy proportion within each path cluster is further statistically analyzed, and the variation information entropy of its initial electromagnetic interference energy proportion is calculated to evaluate the disturbance sensitivity within the path cluster, and the disturbance factor sampling range of each path cluster is constructed accordingly. Subsequently, the disturbance factor is randomly sampled using Beta distribution to fully reflect the non-uniformity and concentration trend of the disturbance amplitude, ensuring that the disturbance process has physical rationality and random diversity. By multiplying the initial energy proportion of each path by the sampled disturbance factor, the energy proportion to be controlled that is closer to the actual interference evolution characteristics can be obtained. Finally, these energy proportions are fully arranged and combined with the acquired equivalent impedance to be controlled to generate a variety of feasible line protection control configurations, laying the foundation for subsequent multi-objective evaluation and Pareto optimization screening.

[0040] S4, screens the optimal line protection control configuration based on the Pareto optimal solution and applies it to the line protection device controller.

[0041] In this example, the optimal line protection control configuration is selected based on the Pareto optimal solution, specifically: Define control objectives and construct objective functions corresponding to each control objective; Calculate the objective function value of each line protection control configuration, and use the Pareto optimization method to perform non-dominated sorting on all line protection control configurations to obtain the Pareto optimal line protection control configuration set in which each control objective cannot be simultaneously exceeded by other combinations; The optimal line protection control configuration that best suits the current control system constraints and protection misjudgment tolerance requirements is selected from the Pareto optimal line protection control configuration set.

[0042] It should be noted that the control objectives include minimizing the misjudgment rate of the line protection device, minimizing the action time, maximizing the EMI interference suppression effect, maintaining the optimal system stability, minimizing the communication delay tolerance, and minimizing the power loss, and constructing the corresponding objective function. First, the performance of multiple candidate line protection control configurations on each control objective is quantified and calculated to obtain a multi-dimensional objective function value vector. Subsequently, the Pareto optimization algorithm is used to perform non-dominated sorting on all configuration schemes, and a set of "non-inferior solutions" that are not simultaneously surpassed by other configuration schemes in all control objective dimensions is screened out, that is, the Pareto optimal line protection control configuration set. This method avoids the drawbacks of forced weighted averaging of the objective function in multi-objective optimization, and can retain multiple potential optimal solutions, providing the possibility for more accurate matching of the current power grid operation status in the future. After obtaining the Pareto optimal configuration set, the system combines the control system constraints (such as voltage, current upper and lower limits, topology constraints, etc.) in the real-time operating environment and the misjudgment tolerance requirements of the protection device to select the optimal configuration that best meets the current application scenario. This method not only improves the adaptability of the protection strategy and the flexibility of the system response, but also enhances the robustness and reliability of line protection under multiple disturbances and weak impedance coupling conditions, and realizes efficient, stable and precise protection in complex island systems or distributed access scenarios. It is an important supporting technology for the intelligent protection of new distribution networks.

[0043] In this example, it is applied to the line protection device controller, specifically: Converting the optimal line protection control configuration into a parameter format to obtain optimal line protection control configuration parameters; Writing the optimal line protection control configuration parameters into the control module of the protection device through the communication interface of the control system, overwriting the initial parameters, and obtaining the first configuration parameters; According to the controller in the control module overloading the first configuration parameter, the optimal line protection action is switched.

[0044] It should be noted that by converting the optimal line protection control configuration into parameter format and writing it into the controller of the protection device control module, the dynamic update and rapid replacement of the line protection parameters are realized. Compared with the traditional static configuration method, this method has the advantages of fast response speed, high configuration accuracy and strong adaptability. The system can automatically write the optimal control configuration into the device in the form of parameters according to the real-time calculation results, overwrite the original configuration, and realize the reload and switching of the controller protection strategy, thereby effectively improving the accuracy and robustness of the protection action, ensuring the stable operation and rapid recovery capability of the island system or distribution network in a complex electromagnetic interference environment. In addition, in the control system, once the optimal configuration parameters are written and take effect, the controller will continuously monitor and adjust the system's operating status according to the changes in the real-time environment. In this way, the system can adaptively adjust its protection strategy according to factors such as changes in the electromagnetic environment and load fluctuations to ensure the safe operation of the line.

[0045] Embodiment 2, Figure 2 The present invention provides a 10 kV line protection automatic configuration control system, including a model building module, an impedance disturbance module, a configuration building module and a protection control module, specifically: Model building module, used to obtain the electrical characteristic data of the island system, build an equivalent model by frequency band aggregation and output equivalent impedance; Impedance perturbation module, used to analyze the impedance dispersion degree of different frequency bands, determine the control range, perturb the equivalent impedance, and generate the equivalent impedance to be controlled; A configuration building module is used to obtain the energy proportion of the initial electromagnetic interference propagation path, perform random perturbations based on clustering to obtain the energy proportion to be controlled, and randomly combine it with the equivalent impedance to be controlled to obtain several line protection control configurations; The protection control module is used to screen the optimal line protection control configuration based on the Pareto optimal solution and apply it to the line protection device controller.

[0046] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0047] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0048] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0049] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0050] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0051] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A 10 kV line protection automatic configuration control method, characterized in that: The following steps are involved: Obtain the electrical characteristic data of the island system, build an equivalent model by frequency band aggregation, and output the equivalent impedance; Analyze the impedance dispersion degree of different frequency bands, determine the control range, disturb the equivalent impedance, and generate the equivalent impedance to be controlled; The energy proportion of the initial electromagnetic interference propagation path is obtained, random perturbations are performed based on clustering to obtain the energy proportion to be controlled, and the energy proportion to be controlled is randomly combined with the equivalent impedance to be controlled to obtain several line protection control configurations; The optimal line protection control configuration is screened based on the Pareto optimal solution and applied to the line protection device controller.

2. The 10 kV line protection automatic configuration control method according to claim 1, characterized in that: The electrical characteristic data of the island system is obtained, an equivalent model is constructed by frequency band aggregation, and the equivalent impedance is output, specifically: Obtain the electrical parameters of the distributed power access point, extract the time-frequency domain coupling characteristics based on wavelet transform, and obtain the device association matrix; Based on the equipment association matrix and the network topology constraints, a multi-time scale dynamic equation is constructed to obtain the characteristic data of electrical quantities, and then wavelet decomposition is performed to obtain several frequency bands; Calculating energy entropy values ​​of a plurality of frequency bands, and aggregating the frequency bands according to a preset first weight, to obtain second weight values ​​of the plurality of frequency bands; An equivalent model is constructed based on the second weight values ​​of the plurality of frequency bands and an equivalent impedance is output.

3. The 10 kV line protection automatic configuration control method according to claim 2, characterized in that: The equivalent model is constructed based on the second weight values ​​of several frequency bands and the equivalent impedance is output, specifically: A frequency domain impedance model for each frequency band is established based on the voltage and current characteristics, and the frequency band coupling matrix is ​​calculated; The frequency domain impedance model of each frequency band is weightedly fused according to the frequency band coupling matrix to obtain an equivalent model; Based on the equivalent model, the frequency band impedance values ​​are weighted and fused to obtain the equivalent impedance.

4. The 10 kV line protection automatic configuration control method according to claim 3 is characterized in that: The analysis of the impedance dispersion degree of different frequency bands, determining the control range, disturbing the equivalent impedance, and generating the equivalent impedance to be controlled is specifically as follows: Obtain the impedance of each frequency band and calculate the average impedance of the frequency band; Analyze the degree of dispersion of the impedance of each frequency band and the average impedance, and dynamically determine the control range based on the degree of dispersion; Within the control range, the equivalent impedance is disturbed to obtain several equivalent impedances to be controlled.

5. The 10 kV line protection automatic configuration control method according to claim 4, characterized in that: The obtaining of the energy proportion of the initial electromagnetic interference propagation path is specifically as follows: Acquire electromagnetic radiation signals and obtain frequency domain signals based on fast Fourier transform; Dividing the frequency domain signal into multiple frequency bands and integrating the power of each frequency band to obtain a first power ratio of each frequency band; Construct the propagation model of the path and calculate the coupling coefficient between the paths; The first power proportion and coupling coefficient of each frequency band are weighted to obtain the first coupling interference energy of each path; The ratio of the first coupled interference energy of each path to the total interference energy is calculated to obtain the initial electromagnetic interference energy ratio of each path.

6. The 10 kV line protection automatic configuration control method according to claim 5, characterized in that: The random perturbation based on clustering is performed to obtain the energy proportion to be controlled, and is randomly combined with the equivalent impedance to be controlled to obtain several line protection control configurations, specifically: Obtain each path coupling characteristic data and construct a path characteristic matrix; Clustering algorithm is used to perform cluster analysis on the path feature matrix to obtain several path clusters; Calculate the variation information entropy of the initial electromagnetic interference energy ratio of each path cluster, and construct the sampling range of the disturbance factor; Based on the perturbation factor sampling range, Beta distribution is used to sample the perturbation factor to obtain the energy perturbation factor of each path in each path cluster; Multiply the initial electromagnetic interference energy proportion of each path by the energy disturbance factor to obtain a number of energy proportions to be controlled; A number of equivalent impedances to be controlled and a number of energy proportions to be controlled are arranged and combined to obtain a number of line protection control configurations.

7. The 10 kV line protection automatic configuration control method according to claim 6, characterized in that: The optimal line protection control configuration is selected based on the Pareto optimal solution, specifically: Define control objectives and construct objective functions corresponding to each control objective; Calculate the objective function value of each line protection control configuration, and use the Pareto optimization method to perform non-dominated sorting on all line protection control configurations to obtain the Pareto optimal line protection control configuration set in which each control objective cannot be simultaneously exceeded by other combinations; The optimal line protection control configuration that best suits the current control system constraints and protection misjudgment tolerance requirements is selected from the Pareto optimal line protection control configuration set.

8. The 10 kV line protection automatic configuration control method according to claim 7, characterized in that: The application to the line protection device controller is specifically: Converting the optimal line protection control configuration into a parameter format to obtain optimal line protection control configuration parameters; Writing the optimal line protection control configuration parameters into the control module of the protection device through the communication interface of the control system, overwriting the initial parameters, and obtaining the first configuration parameters; According to the controller in the control module overloading the first configuration parameter, the optimal line protection action is switched.

9. A 10 kV line protection automatic configuration control system, applied to a 10 kV line protection automatic configuration control method as claimed in any one of claims 1 to 8, characterized in that: It includes a model building module, an impedance disturbance module, a configuration building module and a protection control module. Specifically: Model building module, used to obtain the electrical characteristic data of the island system, build an equivalent model by frequency band aggregation and output equivalent impedance; Impedance perturbation module, used to analyze the impedance dispersion degree of different frequency bands, determine the control range, perturb the equivalent impedance, and generate the equivalent impedance to be controlled; A configuration building module is used to obtain the energy proportion of the initial electromagnetic interference propagation path, perform random perturbations based on clustering to obtain the energy proportion to be controlled, and randomly combine it with the equivalent impedance to be controlled to obtain several line protection control configurations; The protection control module is used to screen the optimal line protection control configuration based on the Pareto optimal solution and apply it to the line protection device controller.

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