A 10 kV line protection automatic configuration control method and system

Abstract

The present invention discloses a 10 kV line protection automatic configuration control method and system, which relate to the field of line configuration control technology, and include the following steps: obtaining electrical characteristic data of an island system, constructing an equivalent model by frequency band aggregation, and outputting an equivalent impedance; analyzing the impedance dispersion degree of different frequency bands, determining the control range, perturbing the equivalent impedance, and generating an equivalent impedance to be controlled; 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 configurations; screening the optimal line protection configuration based on the Pareto optimal solution, and applying it to the line protection device controller, thereby solving the problem in traditional methods that the line impedance change and the electromagnetic interference energy distribution are not coordinated and controlled, resulting in reduced accuracy of the line protection control configuration.

Description

Technical Field

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

[0002] With the large-scale integration of distributed power sources in 10kV distribution networks, islanding operations are becoming increasingly common. Traditional line protection devices face challenges such as decreased recognition accuracy and increased misjudgment. This is especially true in complex electromagnetic environments or where conducted and radiated interference paths are intertwined. The electrical quantity sampling of protection devices is prone to distortion, resulting in false or ineffective protection.

[0003] In power systems, impedance characteristics can vary significantly across frequency bands. This is especially true in isolated systems, where impedance dispersion between frequency bands can be high due to factors such as load variations and varying equipment status. Furthermore, the electromagnetic interference (EMI) propagation path energy contribution refers to the proportion of interference energy transmitted by different propagation paths (e.g., electrical lines and equipment) in the power system relative to the total system interference energy. This reflects the relative contribution of each path to EMI. For example, in an isolated system, the electrical characteristics of different paths (e.g., impedance and coupling) can affect the propagation of EMI signals, resulting in different contributions to interference energy transmission.

[0004] For example, the invention patent publication number CN116482973A discloses a method and system for self-interference control of load frequency in a power system. The method includes: obtaining controller bandwidth and determining controller parameters based on the controller bandwidth; obtaining the bandwidth of an expandable state observer and determining various parameters of the expandable state matrix. By adjusting the parameters of the controller and the expandable state observer, the embodiment of the present invention can achieve excellent control effects, simplify control, and reduce frequency deviation and regional control errors to zero. Furthermore, the control method is highly robust and can achieve control objectives even in the presence of parameter changes and uncertain external disturbances.

[0005] For example, the invention patent publication with publication number CN113625678A discloses an automatic port impedance simulation test method, which sequentially applies voltage to each port of the circuit under test, calculates the corresponding port current, and then calculates the equivalent impedance of each port based on Ohm's law. The automatic port impedance simulation test method first resets the active devices 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, a test sequence is listed based on the test requirements. Furthermore, an independent voltage source specifically used to measure the circuit port impedance is introduced into the circuit simulation diagram, and its positive and negative terminals are assigned network identification numbers based on the test sequence. By matching the network identification numbers of the independent voltage source terminals with the terminals of the circuit under test, they are electrically connected. This invention improves the efficiency of obtaining impedance values. It also avoids errors caused by manual analysis or calculation errors, thereby improving the accuracy of the obtained port impedance values.

[0006] The aforementioned technical solutions present at least the following technical issues: When automatically configuring and controlling 10kV line protection, it is particularly important to consider line impedance variations and the distribution of electromagnetic interference energy across different paths. Line impedance variations can cause changes in the distribution of line current and voltage, leading to misoperation or failure of protection devices. Furthermore, the distribution of electromagnetic interference energy across different paths can affect the communication, signal reception, and processing capabilities of line protection devices, resulting in the protection device being unable to accurately receive fault signals or responding to erroneous signals.

[0007] However, in conventional methods, there is no coordinated control of line impedance variation and electromagnetic interference energy distribution, resulting in reduced accuracy of line protection control configuration. In response to the above problem, 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 traditional methods, there is no coordinated control of line impedance changes and electromagnetic interference energy distribution, resulting in reduced accuracy of line protection control configuration.

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] A 10 kV line protection automatic configuration control method comprises the following steps: obtaining electrical characteristic data of an island system, constructing an equivalent model by frequency band aggregation, and outputting an equivalent impedance; analyzing the impedance dispersion degree of different frequency bands, determining a control range, perturbing the equivalent impedance, and generating an equivalent impedance to be controlled; obtaining 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 several line protection control configurations; and screening an optimal line protection control configuration based on a Pareto optimal solution, and applying the optimal configuration to a line protection device controller.

[0011] 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 the several frequency bands are calculated, and the frequency bands are aggregated according to a preset first weight to obtain second weight values ​​of the several frequency bands; an equivalent model is constructed based on the second weight values ​​of the several frequency bands and the equivalent impedance is output.

[0012] In a preferred embodiment, the method of constructing an equivalent model based on the second weight values ​​of several frequency bands and outputting an equivalent impedance is specifically as follows: a frequency domain impedance model of each frequency band is established based on voltage and current characteristics, and a 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; and the frequency band impedance values ​​are weightedly fused based on the equivalent model to obtain an equivalent impedance.

[0013] In a preferred embodiment, the analysis of the impedance dispersion degree of different frequency bands, determining the control range, perturbing the equivalent impedance, and generating the equivalent impedance to be controlled is specifically as follows: obtaining the impedance of each frequency band and calculating the average impedance of the frequency band; analyzing the dispersion degree of the impedance of each frequency band and the average impedance, and dynamically determining the control range based on the dispersion degree; within the control range, perturbing the equivalent impedance to obtain a plurality of equivalent impedances to be controlled.

[0014] In a preferred embodiment, the method of obtaining the energy proportion of the initial electromagnetic interference propagation path is specifically as follows: obtaining the electromagnetic radiation signal and obtaining the frequency domain signal based on the fast Fourier transform; dividing the frequency domain signal into multiple frequency bands and integrating the power of each frequency band to obtain the 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 the 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.

[0015] In a preferred embodiment, the random perturbation based on clustering is performed to obtain the energy proportion to be controlled, and randomly combined 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; and arranging and combining several equivalent impedances to be controlled and several energy proportions to be controlled to obtain several line protection control configurations.

[0016] 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.

[0017] In a preferred embodiment, the application to the line protection device controller specifically comprises: converting the optimal line protection control configuration into a parameter format to obtain optimal line protection control configuration parameters;

[0018] 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 first configuration parameters; the first configuration parameters are reloaded according to the controller in the control module to switch the optimal line protection action.

[0019] The technical effects and advantages of the 10 kV line protection automatic configuration control method and system of the present invention are as follows:

[0020] 1. The present invention comprehensively analyzes the electrical characteristic data of the island system and uses wavelet transform to extract the time-frequency domain coupling characteristics, which can accurately construct an equivalent model and output the equivalent impedance. 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 energy disturbance factor with the random combination of the equivalent impedance, which further enriches the selection of protection configurations, thereby ensuring the selection of the optimal line protection strategy in a complex electrical environment.

[0021] 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. Through efficient interaction 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. In the process of setting the protection device, the coordinated control of the system frequency domain characteristics and the interference energy distribution is simultaneously considered, effectively improving the accuracy and stability of the line protection in complex interference environments. It 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

[0022] Figure 1 The figure is a flow chart of a 10 kV line protection automatic configuration control method according to the present invention.

[0023] Figure 2 This is a structural diagram of a 10 kV line protection automatic configuration control system of the present invention. DETAILED DESCRIPTION

[0024] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] Example 1, Figure 1 The present invention provides a 10 kV line protection automatic configuration control method, comprising the following steps:

[0026] S1, obtains the electrical characteristic data of the island system, builds an equivalent model by frequency band aggregation and outputs the equivalent impedance;

[0027] In this example, the electrical characteristic data of the island system is obtained, and an equivalent model is constructed by frequency band aggregation to output the equivalent impedance. Specifically,

[0028] 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 correlation matrix;

[0029] Based on the device association matrix and the network topology constraints, a multi-time scale dynamic equation is constructed to obtain the electrical quantity characteristic data, and wavelet decomposition is performed to obtain several frequency bands;

[0030] 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;

[0031] An equivalent model is constructed based on the second weight values ​​of the plurality of frequency bands and an equivalent impedance is output.

[0032] It should be noted that by acquiring the voltage, current, and impedance parameters of distributed generation access points and combining them with wavelet transforms to extract time-frequency coupling characteristics, the system's dynamic changes and coupling relationships can be fully captured, generating a device association matrix, thus providing accurate foundational data for subsequent analysis. Next, by incorporating network topology constraints and constructing multi-time-scale dynamic equations based on the device association matrix, the electrical quantity characteristic data can be accurately expressed across multiple time dimensions, thereby better modeling the system's complex time-varying characteristics. Wavelet decomposition further divides the frequency bands, efficiently processing multi-frequency information. The characteristics of each frequency band are quantified by calculating energy entropy values. The frequency bands are then aggregated according to a preset first weight to derive a second weight. This aggregation method dynamically reflects changes in the system's frequency characteristics, providing more refined data support for constructing an equivalent model. Finally, the equivalent model constructed based on the second weight effectively outputs equivalent impedance, further optimizing the system's electrical performance assessment and protection strategies.

[0033] 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:

[0034] Establish a frequency domain impedance model for each frequency band based on voltage and current characteristics, and calculate the frequency band coupling matrix;

[0035] The frequency domain impedance model of each frequency band is weightedly fused according to the frequency band coupling matrix to obtain an equivalent model;

[0036] Based on the equivalent model, the frequency band impedance values ​​are weighted and fused to obtain the equivalent impedance.

[0037] It should be noted that establishing a frequency-domain impedance model for each frequency band based on voltage and current characteristics can provide a detailed description of the electrical characteristics within each frequency band. By calculating the frequency-band coupling matrix, the mutual influence and coupling relationship between different frequency bands is captured, providing multi-dimensional data support for further analysis. Next, based on the frequency-band coupling matrix, a weighted model fusion method is used to weightedly fuse the frequency-domain impedance models for each frequency band. This effectively integrates the impedance characteristics of different frequency bands and considers the interactions between frequency bands, resulting in 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.

[0038] S2, analyze the impedance dispersion in different frequency bands, determine the control range, perturb the equivalent impedance, and generate the equivalent impedance to be controlled;

[0039] In this example, the impedance dispersion in different frequency bands is analyzed to determine the control range, and the equivalent impedance is disturbed to generate the equivalent impedance to be controlled. Specifically:

[0040] Obtain the impedance of each frequency band and calculate the average impedance of the frequency band;

[0041] 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;

[0042] Within the control range, the equivalent impedance is disturbed to obtain several equivalent impedances to be controlled.

[0043] The control scope is as follows:

[0044]

[0045] in, is the equivalent impedance, is a discrete value, is the preset disturbance factor.

[0046] It should be noted that obtaining the impedance of each frequency band and calculating its average impedance provides a baseline value for each frequency band, providing a clear starting point for subsequent control. Next, by analyzing the degree of dispersion between the impedance of each frequency band and the average impedance, the stability and variation range of the impedance in each frequency band can be quantitatively assessed. Based on this degree of dispersion, the control range is dynamically adjusted, allowing the adjustment process to more accurately adapt to the actual frequency band variations in the power system, thereby avoiding over- or under-adjustment. Finally, the equivalent impedance is perturbed within the defined control range to generate several equivalent impedances to be controlled. This perturbation 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 lies in its strong dynamic adaptability. It can flexibly adjust the control range according to the frequency band characteristics, improving the response accuracy and reliability of the line protection system, thereby providing more effective protection for the stable operation of the power system.

[0047] S3: 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;

[0048] In this example, the energy ratio of the initial electromagnetic interference propagation path is obtained as follows:

[0049] Acquire electromagnetic radiation signals and obtain frequency domain signals based on fast Fourier transform;

[0050] 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;

[0051] Construct a propagation model of the path and calculate the coupling coefficient between the paths;

[0052] The first power proportion and coupling coefficient of each frequency band are weighted to obtain the first coupled interference energy of each path;

[0053] 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.

[0054] The specific calculation formula for the coupling coefficient between paths is as follows:

[0055]

[0056] 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.

[0057] It should be noted that, first, the electromagnetic signal is converted into a frequency domain signal using a Fast Fourier Transform (FFT), providing a foundation for subsequent frequency domain analysis. The frequency domain signal is divided into frequency bands and the power of each band is integrated. This quantifies the energy distribution of each band and determines the initial power contribution of each band, providing accurate power data for subsequent path energy assessment. Next, a path propagation model is constructed and the coupling coefficient is calculated, enabling the system to accurately reflect the propagation characteristics of electromagnetic interference between different paths, further improving the accuracy of interference energy assessment. The power contribution of each frequency band is weighted and combined with the coupling coefficient to comprehensively consider the influence of frequency band characteristics and path coupling, calculating the path coupled interference energy. Finally, by calculating the ratio of the path coupled interference energy to the total interference energy, the initial electromagnetic interference energy contribution of each path is determined, providing a quantitative basis for subsequent optimization control. The advantage of this method lies in its high-precision, multi-dimensional assessment method, which can more realistically reflect the interference characteristics of each path in complex electromagnetic environments, thereby providing a more scientific basis for line protection control strategies.

[0058] In this example, random perturbations are performed based on clustering to obtain the proportion of energy to be controlled, and then randomly combined with the equivalent impedance to be controlled to obtain several line protection control configurations, specifically:

[0059] Obtain the coupling characteristic data of each path and construct the path characteristic matrix;

[0060] Clustering algorithm is used to perform cluster analysis on the path feature matrix to obtain several path clusters;

[0061] Calculate the variation information entropy of the initial electromagnetic interference energy ratio of each path in the path cluster and construct the sampling range of the disturbance factor;

[0062] 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;

[0063] Multiply the initial electromagnetic interference energy proportion of each path by the energy disturbance factor to obtain several energy proportions to be controlled;

[0064] 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.

[0065] The specific calculation formula for the variation information entropy of the initial electromagnetic interference energy ratio of each path cluster is as follows:

[0066]

[0067] in, is the mutation information entropy, is the kth path cluster, is the initial electromagnetic interference energy ratio of the mth path, is the initial electromagnetic interference energy ratio of the nth path.

[0068] The specific formula for the sampling range of the disturbance factor is as follows:

[0069]

[0070] in, is the sampling range of the disturbance factor, is the preset weight coefficient.

[0071] It should be noted that the dynamic setting of the perturbation range for each frequency band based on discrete values ​​is based on the equivalent impedance. The amplitude obtained by multiplying the discrete degree by the preset perturbation factor is expanded in the upward and downward directions to form the upper and lower perturbation boundaries. Each coupling type cluster represents a collection of coupling paths with similar characteristics. The Beta distribution has the advantage of a controllable shape distribution and is limited to [0, 1], making it suitable for perturbation generation. By extracting the coupling characteristic data of each electromagnetic interference path, a path characteristic matrix is ​​constructed. Clustering analysis is performed on the path characteristic matrix using a clustering algorithm to identify multiple path clusters, thereby classifying the path structural similarity and interference behavior correlation. Furthermore, the energy contribution within each path cluster is statistically analyzed, and the variation information entropy of its initial electromagnetic interference energy contribution is calculated to assess the perturbation sensitivity within the path cluster. Based on this, the perturbation factor sampling range for each path cluster is constructed. Subsequently, the perturbation factors are randomly sampled using the Beta distribution to fully reflect the non-uniformity and concentration tendency of the perturbation amplitude, ensuring the physical rationality and random diversity of the perturbation process. By multiplying the initial energy fraction of each path by the sampled disturbance factor, we can obtain a controllable energy fraction that more closely reflects the actual interference evolution characteristics. Finally, these energy fractions are fully permuted and combined with the acquired equivalent impedance to generate multiple feasible line protection control configurations, laying the foundation for subsequent multi-objective evaluation and Pareto optimization screening.

[0072] S4, screens the optimal line protection control configuration based on the Pareto optimal solution and applies it to the line protection device controller.

[0073] In this example, the optimal line protection control configuration is selected based on the Pareto optimal solution, specifically:

[0074] Define the control objectives and construct the objective function corresponding to each control objective;

[0075] 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.

[0076] 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.

[0077] It should be noted that the control objectives include minimizing the misjudgment rate of line protection devices, minimizing operation time, maximizing EMI suppression, maintaining optimal system stability, minimizing communication delay tolerance, and minimizing power loss. Corresponding objective functions are constructed. First, the performance of multiple candidate line protection control configurations on each control objective is quantified to obtain a multidimensional objective function value vector. Subsequently, a Pareto optimization algorithm is used to perform a non-dominated sorting of all configurations, identifying a set of "non-inferior solutions" that are not simultaneously surpassed by other configurations on all control objective dimensions. This is the Pareto-optimal line protection control configuration set. This approach avoids the drawback of forced weighted averaging of objective functions in multi-objective optimization and retains multiple potential optimal solutions, enabling more accurate matching of the current grid operating state. After obtaining the Pareto-optimal configuration set, the system then combines the control system constraints (such as voltage and current upper and lower limits, topology constraints, etc.) in the real-time operating environment with the misjudgment tolerance requirements of the protection devices to select the optimal configuration that best suits 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.

[0078] In this example, it is applied to the line protection device controller, specifically:

[0079] Converting the optimal line protection control configuration into a parameter format to obtain optimal line protection control configuration parameters;

[0080] 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 first configuration parameters;

[0081] The controller in the control module reloads the first configuration parameter and switches to an optimal line protection action.

[0082] It should be noted that by converting the optimal line protection control configuration into a parameter format and writing it into the controller of the protection device control module, dynamic updating and rapid replacement of line protection parameters are achieved. Compared with traditional static configuration methods, this method offers the advantages of fast response, high configuration accuracy, and strong adaptability. Based on real-time calculation results, the system automatically writes the optimal control configuration into the device in parameter form, overwriting the original configuration, enabling reloading and switching of the controller's protection strategy. This effectively improves the accuracy and robustness of protection actions, ensuring the stable operation and rapid recovery capabilities of isolated systems or distribution networks in complex electromagnetic interference environments. Furthermore, once the optimal configuration parameters are written and take effect, the controller in the control system continuously monitors and adjusts the system's operating status based on real-time environmental changes. This allows the system to adaptively adjust its protection strategy based on factors such as changes in the electromagnetic environment and load fluctuations, ensuring safe line operation.

[0083] Example 2, Figure 2 The present invention provides a 10 kV line protection automatic configuration control system, which includes a model construction module, an impedance disturbance module, a configuration construction module, and a protection control module. Specifically:

[0084] The model building module is used to obtain the electrical characteristic data of the island system, build an equivalent model by frequency band aggregation, and output the equivalent impedance;

[0085] 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;

[0086] 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;

[0087] 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.

[0088] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0089] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0090] Those skilled 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 beyond the scope of this application.

[0091] 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.

[0092] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0093] 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 scope of protection of the present invention.

Claims

1. A 10 kV line protection automatic configuration control method, characterized in that: The following steps are involved: Obtain electrical characteristic data of the island system, build an equivalent model by frequency band aggregation, and output equivalent impedance; Analyze the impedance dispersion in different frequency bands, determine the control range, perturb the equivalent impedance, and generate the equivalent impedance to be controlled; 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; Screen the optimal line protection control configuration based on the Pareto optimal solution and apply it to the line protection device controller; The analysis of the impedance dispersion in different frequency bands, determination of the control range, perturbation of the equivalent impedance, and generation of the equivalent impedance to be controlled are 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; Get the energy ratio of the initial electromagnetic interference propagation path, specifically: 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 a 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 coupled 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.

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 correlation matrix; Based on the device association matrix and the network topology constraints, a multi-time scale dynamic equation is constructed to obtain the electrical quantity characteristic data, and 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 the plurality of frequency bands and the equivalent impedance is output, specifically: Based on the voltage and current characteristics, a frequency domain impedance model is established for each frequency band, 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 1, characterized in that: The clustering-based random perturbation 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 the coupling characteristic data of each path and construct the 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 in the 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 several 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.

5. The 10 kV line protection automatic configuration control method according to claim 4, characterized in that: The optimal line protection control configuration is selected based on the Pareto optimal solution, specifically: Define the control objectives and construct the objective function 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.

6. The 10 kV line protection automatic configuration control method according to claim 5, 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 first configuration parameters; The controller in the control module reloads the first configuration parameter and switches to an optimal line protection action.

7. A 10 kV line protection automatic configuration control system, applied to a 10 kV line protection automatic configuration control method according to any one of claims 1 to 6, characterized in that: It includes model building module, impedance disturbance module, configuration building module and protection control module. Specifically: The model building module is used to obtain the electrical characteristic data of the island system, build an equivalent model by frequency band aggregation, and output the 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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