A configuration method, system, device and medium for distribution network automation switch

Abstract

The present invention application discloses a configuration method, system, equipment and medium for distribution network automation switches. By analyzing the basic data set of line operation, taking into account the line aging index and environmental anti-interference data, the line operation characteristic parameters are obtained, and then the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current is simulated to obtain the distribution network operation stability characteristics. The distribution network operation stability characteristics are used as simulation parameters of the candidate configuration scheme of the automation switch. The target configuration scheme is determined according to the load transfer response time and self-healing strategy coverage of the candidate configuration scheme. The target configuration scheme obtained in this application can ensure that the deployment configuration of the automation switch takes into account factors such as load fluctuations, fault recovery (self-healing), environmental interference, etc., and can effectively adapt to the complexity and dynamic changes of load distribution in different regions, ensuring the power supply reliability and operation stability of the distribution network.

Description

Technical Field

[0001] The present invention relates to the field of distribution network configuration, and in particular to a configuration method, system, device and medium for a distribution network automation switch. Background Art

[0002] In the field of power systems, the reliability of distribution networks is directly related to the stability of social production and residents' lives, and is a key pillar for ensuring energy security and economic development. As electricity demand continues to grow, optimizing the operating efficiency and improving the reliability of distribution networks has become a crucial research topic.

[0003] As the terminal link in power transmission, the stability and adaptability of the distribution network have a decisive impact on the operation of the entire power system. Current solutions for automated switch layout in distribution networks often suffer from profound deficiencies. Many methods lack sufficient analysis of line characteristics during planning, making them unable to adapt to the complex and dynamic load distribution in different regions. As a result, the switch layout cannot effectively respond to sudden failures or load fluctuations in actual operation, compromising the power supply reliability of the distribution network. Summary of the Invention

[0004] The present invention provides a method, system, device and medium for configuring a distribution network automation switch to solve the technical problem of how to improve the power supply reliability of the distribution network.

[0005] In order to solve the above technical problems, the present invention provides a configuration method for a distribution network automation switch, comprising:

[0006] Obtain the line operation basic data set of the target distribution network;

[0007] Analyze the line operation basic data set and extract line operation characteristic parameters based on the preset line aging index and environmental anti-interference data;

[0008] According to the line operation characteristic parameters, a preset operation characteristic description framework is used to simulate the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current, and obtain the distribution network operation stability characteristics;

[0009] Based on the stable operation characteristics of the distribution network, simulation tests are performed on multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network to obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme;

[0010] Based on the load transfer response time and the self-healing strategy coverage, combined with environmental anti-interference data, a target configuration scheme is determined, and the target configuration scheme is used to configure the automation switches in the target area.

[0011] As a preferred solution, before performing simulation tests on a plurality of candidate configuration schemes of the automation switches in the target area of ​​the target distribution network, the method further includes:

[0012] Dividing the target distribution network into multiple sub-areas; obtaining network topology data of each sub-area;

[0013] Based on the distribution network operation stability characteristics and the network topology data, analyzing and obtaining response information of the current switch configuration in each sub-area during the fault detection and fault recovery process;

[0014] Calculating, based on the response information, a degree of restriction of the current switch configuration on power supply continuity;

[0015] Filtering out sub-regions whose restriction degree is greater than a preset restriction threshold to obtain at least one restricted region;

[0016] Analyzing the basic data set of line operation to obtain the node overload tolerance and dynamic load adaptability of the restricted area, and then obtaining the load pressure distribution of the restricted area;

[0017] The interconnection line redundancy data and energy storage access data of the restricted area are obtained, and a comprehensive analysis is performed in combination with the load pressure distribution to determine the target area.

[0018] As a preferred solution, the line operation basic data set includes trunk line operation parameters and branch line operation parameters; the line operation characteristic parameters are extracted based on the analysis of the line operation basic data set in combination with a preset line aging index and environmental anti-interference data, including:

[0019] Based on the trunk line operating parameters and the branch line operating parameters, determining the key nodes of the target distribution network and obtaining key node operating data;

[0020] The load distribution unevenness is obtained based on the trunk line operating parameters, branch line operating parameters and key node operating data, combined with the preset line aging index and environmental anti-interference data;

[0021] Obtaining historical fault recovery data and combining it with the trunk line operating parameters, branch line operating parameters, and key node operating data to obtain fault recovery line characteristics;

[0022] The key node operation data, load distribution unevenness and the fault recovery line characteristics are determined as line operation characteristic parameters.

[0023] As a preferred solution, according to the line operation characteristic parameters, by using a preset operation characteristic description framework, the influence of load fluctuations in different time periods on the voltage fluctuation amplitude and current is simulated to obtain the distribution network operation stability characteristics, including:

[0024] constructing a feature description matrix based on the line operation characteristic parameters;

[0025] Obtaining historical load fluctuation data; substituting the historical load fluctuation data and the characteristic description matrix into the preset operation characteristic description framework; and simulating voltage amplitude changes and current peak changes in different time periods based on the output of the preset operation characteristic description framework, thereby determining the load fluctuation impact range;

[0026] Based on the load fluctuation impact range and combined with the preset operation stability index, the abnormal fluctuation range of the voltage amplitude and the current peak is analyzed to obtain the fluctuation risk weighting coefficient, and the fluctuation risk weighting coefficient is determined as the distribution network operation stability feature.

[0027] As a preferred solution, the self-healing strategy coverage is calculated based on the number of nodes that successfully self-heal and the total number of nodes.

[0028] As a preferred solution, the target configuration solution is determined based on the load transfer response time and the self-healing strategy coverage, combined with environmental anti-interference data, including:

[0029] Obtaining a weighted decision model, substituting the load transfer response time, self-healing strategy coverage, and environmental anti-interference data of each candidate configuration solution into the weighted decision model to obtain a comprehensive weighted value;

[0030] The candidate configuration scheme with the highest comprehensive weighted value is determined as the target configuration scheme.

[0031] As a preferred solution, the environmental anti-interference data adopts an anti-interference index, and the anti-interference index is calculated based on the post-interference response time and the benchmark response time.

[0032] Accordingly, the present invention also provides a configuration system for a distribution network automation switch, comprising a basic data acquisition module, a line operation feature extraction module, a distribution network operation stability feature acquisition module, a simulation module and a configuration module; wherein,

[0033] The basic data acquisition module is used to obtain the line operation basic data set of the target distribution network;

[0034] The line operation feature extraction module is used to analyze the line operation basic data set and extract line operation feature parameters in combination with the preset line aging index and environmental anti-interference data;

[0035] The distribution network operation stability characteristic acquisition module is used to simulate the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current based on the line operation characteristic parameters through a preset operation characteristic description framework to obtain the distribution network operation stability characteristics;

[0036] The simulation module is configured to perform simulation tests on multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network based on the operational stability characteristics of the distribution network, and obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme;

[0037] The configuration module is used to determine a target configuration scheme based on the load transfer response time and the self-healing strategy coverage rate in combination with environmental anti-interference data, and configure the automation switches in the target area using the target configuration scheme.

[0038] As a preferred solution, the configuration system further includes a target area determination module, which is configured to, before performing simulation tests on multiple candidate configuration schemes of automation switches in a target area of ​​the target distribution network:

[0039] Dividing the target distribution network into multiple sub-areas; obtaining network topology data of each sub-area;

[0040] Based on the distribution network operation stability characteristics and the network topology data, analyzing and obtaining response information of the current switch configuration in each sub-area during the fault detection and fault recovery process;

[0041] Calculating, based on the response information, a degree of restriction of the current switch configuration on power supply continuity;

[0042] Filtering out sub-regions whose restriction degree is greater than a preset restriction threshold to obtain at least one restricted region;

[0043] Analyzing the basic data set of line operation to obtain the node overload tolerance and dynamic load adaptability of the restricted area, and then obtaining the load pressure distribution of the restricted area;

[0044] The interconnection line redundancy data and energy storage access data of the restricted area are obtained, and a comprehensive analysis is performed in combination with the load pressure distribution to determine the target area.

[0045] As a preferred solution, the line operation basic data set includes trunk line operation parameters and branch line operation parameters; the line operation feature extraction module analyzes the line operation basic data set and extracts line operation feature parameters based on a preset line aging index and environmental anti-interference data, including:

[0046] The line operation feature extraction module determines the key nodes of the target distribution network based on the trunk line operation parameters and the branch line operation parameters, and obtains the key node operation data;

[0047] The load distribution unevenness is obtained based on the trunk line operating parameters, branch line operating parameters and key node operating data, combined with the preset line aging index and environmental anti-interference data;

[0048] Obtaining historical fault recovery data and combining it with the trunk line operating parameters, branch line operating parameters, and key node operating data to obtain fault recovery line characteristics;

[0049] The key node operation data, load distribution unevenness and the fault recovery line characteristics are determined as line operation characteristic parameters.

[0050] As a preferred solution, the distribution network operation stability characteristic acquisition module simulates the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current based on the line operation characteristic parameters through a preset operation characteristic description framework to obtain the distribution network operation stability characteristics, including:

[0051] The distribution network operation stability feature acquisition module constructs a feature description matrix based on the line operation characteristic parameters;

[0052] Obtaining historical load fluctuation data; substituting the historical load fluctuation data and the characteristic description matrix into the preset operation characteristic description framework; and simulating voltage amplitude changes and current peak changes in different time periods based on the output of the preset operation characteristic description framework, thereby determining the load fluctuation impact range;

[0053] Based on the load fluctuation impact range and combined with the preset operation stability index, the abnormal fluctuation range of the voltage amplitude and the current peak is analyzed to obtain the fluctuation risk weighting coefficient, and the fluctuation risk weighting coefficient is determined as the distribution network operation stability feature.

[0054] As a preferred solution, the self-healing strategy coverage is calculated based on the number of nodes that successfully self-heal and the total number of nodes.

[0055] As a preferred solution, the configuration module determines a target configuration solution based on the load transfer response time and self-healing strategy coverage, combined with environmental anti-interference data, including:

[0056] The configuration module obtains a weighted decision model, substitutes the load transfer response time, self-healing strategy coverage and the environmental anti-interference data of each candidate configuration solution into the weighted decision model, and obtains a comprehensive weighted value;

[0057] The candidate configuration scheme with the highest comprehensive weighted value is determined as the target configuration scheme.

[0058] As a preferred solution, the environmental anti-interference data adopts an anti-interference index, and the anti-interference index is calculated based on the post-interference response time and the benchmark response time.

[0059] Correspondingly, the present application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the configuration method of the distribution network automation switch.

[0060] Correspondingly, the present application also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the configuration method of the distribution network automation switch.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The present invention application provides a configuration method, system, device and medium for distribution network automation switches, the configuration method comprising: obtaining a basic data set of line operation of a target distribution network; performing analysis based on the basic data set of line operation, and extracting line operation characteristic parameters in combination with a preset line aging index and environmental anti-interference data; simulating the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current through a preset operation characteristic description framework according to the line operation characteristic parameters, and obtaining distribution network operation stability characteristics; based on the distribution network operation stability characteristics, performing simulation tests on multiple candidate configuration schemes for automation switches in a target area of ​​the target distribution network, and obtaining the load transfer response time and self-healing strategy coverage of each candidate configuration scheme; determining a target configuration scheme based on the load transfer response time and self-healing strategy coverage, and combining environmental anti-interference data, and using the target configuration scheme to configure the automation switches in the target area. The present invention application obtains line operation characteristic parameters by analyzing the basic data set of line operation, taking into account the line aging index and environmental anti-interference data, and then simulates the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current to obtain the distribution network operation stability characteristics. The distribution network operation stability characteristics are used as simulation parameters of the candidate configuration scheme of the automation switch, and the target configuration scheme is determined according to the load transfer response time and self-healing strategy coverage of the candidate configuration scheme. The target configuration scheme obtained in this application can ensure that the deployment configuration of the automation switch takes into account factors such as load fluctuations, fault recovery (self-healing), and environmental interference, and can effectively adapt to the complexity and dynamic changes of load distribution in different regions, thereby ensuring the power supply reliability and operation stability of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 : A flow chart of an embodiment of a method for configuring a distribution network automation switch provided in the present invention.

[0064] Figure 2: A flow chart of a preferred implementation mode 1 of an embodiment of a method for configuring a distribution network automation switch provided by the present invention.

[0065] Figure 3 : A flow chart of a preferred implementation mode 2 of an embodiment of a method for configuring a distribution network automation switch provided in the present application.

[0066] Figure 4 : A flow chart of a preferred implementation mode three of an embodiment of a configuration method for a distribution network automation switch provided by the present invention.

[0067] Figure 5 : A structural diagram of an embodiment of a configuration system for a distribution network automation switch provided by the present invention. DETAILED DESCRIPTION

[0068] The following will clearly and completely describe 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.

[0069] Example 1

[0070] Please refer to Figure 1 , Figure 1 This is a flow chart of an embodiment of a method for configuring a distribution network automation switch provided by the present invention.

[0071] Figure 1 The configuration method of the distribution network automation switch shown includes steps S101 to S105; each step is described in detail as follows:

[0072] Step S101: Acquire a line operation basic data set of a target distribution network.

[0073] In this embodiment, the line operation basic data set includes trunk line operation parameters and branch line operation parameters.

[0074] For the trunk line operating parameters and branch line operating parameters, both include information such as voltage fluctuation amplitude, current load peak and historical fault frequency.

[0075] Preferably, before step S101 , this embodiment may: obtain original parameters of the trunk line and the branch line, perform data cleaning on them and remove abnormal values ​​to obtain the trunk line operating parameters and the branch line operating parameters.

[0076] Furthermore, the above-mentioned outliers can be removed by calculating the median absolute deviation.

[0077] This embodiment may adopt a distribution network data acquisition system and SCADA technology to collect data every 5 minutes to obtain the above-mentioned line operation basic data set.

[0078] Step S102 : analyzing the line operation basic data set, combining the preset line aging index and environmental anti-interference data, and extracting line operation characteristic parameters.

[0079] In this embodiment, the trunk line operating parameters can be combined with the corresponding trunk line aging index and its environmental interference resistance data to extract the trunk line operating characteristic parameters. On the other hand, the branch line operating parameters can also be combined with the corresponding branch line aging index and its environmental interference resistance data to obtain the branch line operating characteristic parameters. The trunk line operating characteristic parameters and branch line operating parameters are combined to obtain the line operating characteristic parameters described in step S102.

[0080] like Figure 2 As shown, in a preferred embodiment, step S102 is based on the analysis of the line operation basic data set, combined with the preset line aging index and environmental anti-interference data, to extract the line operation characteristic parameters, including steps S201 to S204. The details of each step are as follows:

[0081] Step S201: Based on the trunk line operating parameters and the branch line operating parameters, key nodes of the target distribution network are determined to obtain key node operating data.

[0082] Step S202 : Obtain load distribution unevenness based on trunk line operating parameters, branch line operating parameters, and key node operating data, combined with a preset line aging index and environmental anti-interference data.

[0083] Step S203: Acquire historical fault recovery data, and combine the trunk line operating parameters, branch line operating parameters and key node operating data to obtain fault recovery line characteristics.

[0084] Step S204: determining the key node operation data, the load distribution unevenness and the fault recovery line characteristics as line operation characteristic parameters.

[0085] In this embodiment, the key nodes of the target distribution network can be determined through the trunk line operating parameters and the branch line operating parameters. For example, the key node can be the connection node between the trunk line and the branch line, and the key node operating data can be obtained.

[0086] Furthermore, based on the operating parameters of the trunk lines, branch lines and key nodes, combined with the line aging index and environmental anti-interference data, a comprehensive analysis of the load distribution is conducted to determine the load distribution at different locations in different distribution networks and obtain the load distribution unevenness.

[0087] For example, based on the operating parameters of the trunk lines, the operating parameters of the branch lines and the operating data of the key nodes, the correlation between the node overload and the tolerance level can be analyzed. Combined with the data of the dynamic load or load distribution, the overload risk of each line section can be graded using statistical analysis tools to obtain different grading results. Based on the grading at different locations, the above-mentioned load distribution unevenness can be further obtained, thereby laying the foundation for determining the strength of the regional adaptability in the subsequent steps.

[0088] In addition, step S203 can obtain the fault recovery line characteristics by obtaining historical fault recovery data (or historical self-healing data) and combining the trunk line operating parameters, branch line operating parameters and key node operating data. The method of this step can adopt the method of the existing technology.

[0089] Based on the above steps, the key node operation data, the load distribution unevenness and the fault recovery line characteristics can be comprehensively determined as line operation characteristic parameters.

[0090] In addition, according to the needs of the application scenario, the line operation characteristic parameters may also include information such as risk assessment of the line, which is determined according to the needs of the actual application scenario.

[0091] Step S103 , based on the line operation characteristic parameters and through a preset operation characteristic description framework, the influence of load fluctuations in different time periods on the voltage fluctuation amplitude and current is simulated to obtain the distribution network operation stability characteristics.

[0092] In this embodiment, the preset operation characteristic description framework can be pre-configured. In this step, the line operation characteristic parameters are used as one of the inputs of the preset operation characteristic description framework to simulate the impact of load fluctuations on the voltage fluctuation amplitude and current in different time periods, and the above-mentioned impact is determined as the distribution network operation stability characteristics, which are used as basic data for simulation testing to facilitate subsequent accurate simulation of multiple candidate configuration schemes for automatic switches.

[0093] In a preferred embodiment, Figure 3 As shown, step S103 is based on the line operation characteristic parameters, through the preset operation characteristic description framework, simulating the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current, and obtaining the distribution network operation stability characteristics, including steps S301 to S303. Each step is detailed as follows:

[0094] Step S301: construct a feature description matrix based on the line operation characteristic parameters.

[0095] Step S302, obtaining historical load fluctuation data; substituting the historical load fluctuation data and the characteristic description matrix into the preset operation characteristic description framework, and simulating the voltage amplitude change and current peak change in different time periods based on the output of the preset operation characteristic description framework, so as to determine the load fluctuation impact range.

[0096] Step S303: Based on the load fluctuation impact range and in combination with the preset operation stability index, the abnormal fluctuation range of the voltage amplitude and the current peak is analyzed to obtain a fluctuation risk weighting coefficient, and the fluctuation risk weighting coefficient is determined as the distribution network operation stability characteristic.

[0097] In this implementation method, for the line operation characteristic parameters, since they may involve characteristic data of multiple dimensions, a data integration tool can be used to normalize the multi-dimensional features and convert the line operation characteristic parameters into a distribution network characteristic description matrix.

[0098] The distribution network feature description matrix and the historical load fluctuation data of the distribution network are input into the preset operation feature description framework. Based on its output, the voltage amplitude changes and current peak changes in different time periods can be simulated to obtain the load fluctuation impact range and accurately simulate the impact of load fluctuations in time and space.

[0099] Furthermore, based on the load fluctuation impact range, combined with the preset operation stability index, the abnormal fluctuation range of the voltage amplitude and the current peak is analyzed to obtain a fluctuation risk weighting coefficient, and the fluctuation risk weighting coefficient is determined as the distribution network operation stability characteristic.

[0100] The above volatility risk weighting coefficient can be used to evaluate the volatility risk adjustment ability of a region. For example, the volatility risk weighting coefficient of a high-risk volatility region is relatively large, and conversely, the volatility risk weighting coefficient of a low-risk volatility region is relatively small.

[0101] Furthermore, different risk fluctuation areas can be targeted and labeled with data of different configuration priorities (specifically, the configuration priority of the automation switch, and in some scenarios, the control priority of the automation switch).

[0102] Preferably, before step S104, it also includes: dividing the target distribution network into multiple sub-areas; obtaining network topology data of each sub-area; based on the operation stability characteristics of the distribution network and the network topology data, analyzing and obtaining response information of the current switch configuration of each sub-area during fault detection and fault recovery; according to the response information, calculating the degree of restriction of the current switch configuration on power supply continuity; screening out sub-areas with the restriction degree greater than a preset restriction threshold to obtain at least one restricted area; analyzing based on the line operation basic data set to obtain the node overload tolerance and dynamic load adaptability of the restricted area, and then obtaining the load pressure distribution of the restricted area; obtaining the interconnection line redundancy data and energy storage access data of the restricted area, and performing a comprehensive analysis in combination with the load pressure distribution to determine the target area.

[0103] In this preferred embodiment, the target distribution network is divided into multiple sub-areas. By analyzing the response information of the current switch configuration in each sub-area during the fault detection and fault recovery process, its response capability is judged, and then the degree of restriction of the current switch configuration on the power supply continuity in the sub-area is calculated, and several (or at least one) restricted areas can be screened out. Furthermore, the above-mentioned restricted areas are further analyzed and screened to determine the areas that urgently need to be optimized or reconfigured for automatic switches, and determine them as target areas. This method can screen out areas with relatively high urgency, and optimize the configuration of automatic switches in them in subsequent steps to ensure the operational stability and reliability of the target distribution network.

[0104] Step S104 : Based on the stable operation characteristics of the distribution network, simulation tests are performed on multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network to obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme.

[0105] In some preferred embodiments, the self-healing strategy coverage rate is calculated based on the number of nodes that successfully self-healed and the total number of nodes. For example, the self-healing strategy coverage rate can be calculated as the number of nodes that successfully self-healed divided by the total number of nodes × 100%.

[0106] This embodiment simulates and tests multiple candidate configuration schemes of the automation switches in the target area to obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme.

[0107] After this step and before step S105, each candidate configuration scheme can be further evaluated or optimized. For example, schemes whose load transfer response time is longer than a preset time threshold, or schemes whose anti-interference performance shown by environmental anti-interference data is lower than a preset performance threshold, can be eliminated or further optimized to ensure that in subsequent steps, the target configuration scheme can be selected from the candidate configuration schemes with relatively better performance.

[0108] Step S105 : determining a target configuration scheme based on the load transfer response time and the self-healing strategy coverage, combined with environmental anti-interference data, and configuring the automation switches in the target area using the target configuration scheme.

[0109] In this embodiment, the environmental anti-interference data can be used to analyze and extract the line operation characteristics in step S102, and can also be used to further evaluate each candidate configuration scheme in this step, so as to determine the optimal target configuration scheme, so as to ensure that the obtained target configuration scheme can enable the target distribution network to have strong anti-interference ability, better self-healing performance, and enable the target distribution network to operate stably and reliably.

[0110] Preferably, the environmental anti-interference data in step S105 may adopt an anti-interference index, and the anti-interference index may be calculated based on the response time after environmental interference and the benchmark response time.

[0111] Exemplarily, the anti-interference index may be 1 / (response time after environmental interference minus reference response time).

[0112] In some preferred embodiments, Figure 4 As shown, step S105 determines the target configuration scheme based on the load transfer response time and self-healing strategy coverage, combined with environmental anti-interference data, including steps S401 and S402. Each step is described in detail as follows:

[0113] Step S401: Obtain a weighted decision model, substitute the load transfer response time, self-healing strategy coverage and the environmental anti-interference data of each candidate configuration solution into the weighted decision model to obtain a comprehensive weighted value.

[0114] Step S402: Determine the candidate configuration solution with the highest comprehensive weighted value as the target configuration solution.

[0115] In this step, different or the same weight coefficients can be pre-assigned to the load transfer response time, the self-healing strategy coverage rate, and the environmental anti-interference data, and then the comprehensive weighted value of each candidate configuration scheme is obtained through comprehensive evaluation through the weighted decision model, so as to select the optimal candidate configuration scheme as the target configuration scheme, and use the target configuration scheme to configure the automation switches in the target area.

[0116] In some implementations, the target configuration solution may include contents such as switch parameters of the automation switch, deployment locations of the automation switch, and control rules of the automation switch.

[0117] Accordingly, if Figure 5As shown, the present invention also provides a configuration system 500 for a distribution network automation switch, including a basic data acquisition module 501, a line operation feature extraction module 502, a distribution network operation stability feature acquisition module 503, a simulation module 504 and a configuration module 505; wherein,

[0118] The basic data acquisition module 501 is used to obtain a line operation basic data set of the target distribution network;

[0119] The line operation feature extraction module 502 is used to analyze the line operation basic data set and extract line operation feature parameters in combination with the preset line aging index and environmental anti-interference data;

[0120] The distribution network operation stability characteristic acquisition module 503 is used to simulate the impact of load fluctuations in different time periods on voltage fluctuation amplitude and current based on the line operation characteristic parameters through a preset operation characteristic description framework to obtain the distribution network operation stability characteristics;

[0121] The simulation module 504 is configured to simulate and test multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network based on the stability characteristics of the distribution network operation, and obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme;

[0122] The configuration module 505 is configured to determine a target configuration scheme based on the load transfer response time and the self-healing strategy coverage rate in combination with environmental anti-interference data, and configure the automation switches in the target area using the target configuration scheme.

[0123] As a preferred solution, the configuration system 500 further includes a target area determination module, which is configured to, before performing simulation tests on multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network:

[0124] Dividing the target distribution network into multiple sub-areas; obtaining network topology data of each sub-area;

[0125] Based on the distribution network operation stability characteristics and the network topology data, analyzing and obtaining response information of the current switch configuration in each sub-area during the fault detection and fault recovery process;

[0126] Calculating, based on the response information, a degree of restriction of the current switch configuration on power supply continuity;

[0127] Filtering out sub-regions whose restriction degree is greater than a preset restriction threshold to obtain at least one restricted region;

[0128] Analyzing the basic data set of line operation to obtain the node overload tolerance and dynamic load adaptability of the restricted area, and then obtaining the load pressure distribution of the restricted area;

[0129] The interconnection line redundancy data and energy storage access data of the restricted area are obtained, and a comprehensive analysis is performed in combination with the load pressure distribution to determine the target area.

[0130] As a preferred solution, the line operation basic data set includes trunk line operation parameters and branch line operation parameters; the line operation feature extraction module 502 analyzes the line operation basic data set and extracts line operation feature parameters based on a preset line aging index and environmental anti-interference data, including:

[0131] The line operation feature extraction module 502 determines the key nodes of the target distribution network based on the trunk line operation parameters and the branch line operation parameters, and obtains the key node operation data;

[0132] The load distribution unevenness is obtained based on the trunk line operating parameters, branch line operating parameters and key node operating data, combined with the preset line aging index and environmental anti-interference data;

[0133] Obtaining historical fault recovery data and combining it with the trunk line operating parameters, branch line operating parameters, and key node operating data to obtain fault recovery line characteristics;

[0134] The key node operation data, load distribution unevenness and the fault recovery line characteristics are determined as line operation characteristic parameters.

[0135] As a preferred solution, the distribution network operation stability characteristic acquisition module 503 simulates the impact of load fluctuations in different time periods on voltage fluctuation amplitude and current based on the line operation characteristic parameters through a preset operation characteristic description framework to obtain the distribution network operation stability characteristics, including:

[0136] The distribution network operation stability feature acquisition module 503 constructs a feature description matrix based on the line operation feature parameters;

[0137] Obtaining historical load fluctuation data; substituting the historical load fluctuation data and the characteristic description matrix into the preset operation characteristic description framework; and simulating voltage amplitude changes and current peak changes in different time periods based on the output of the preset operation characteristic description framework, thereby determining the load fluctuation impact range;

[0138] Based on the load fluctuation impact range and combined with the preset operation stability index, the abnormal fluctuation range of the voltage amplitude and the current peak is analyzed to obtain the fluctuation risk weighting coefficient, and the fluctuation risk weighting coefficient is determined as the distribution network operation stability feature.

[0139] As a preferred solution, the self-healing strategy coverage is calculated based on the number of nodes that successfully self-heal and the total number of nodes.

[0140] As a preferred solution, the configuration module 505 determines a target configuration solution based on the load transfer response time and the self-healing strategy coverage rate in combination with environmental anti-interference data, including:

[0141] The configuration module 505 obtains a weighted decision model, substitutes the load transfer response time, self-healing strategy coverage and the environmental anti-interference data of each candidate configuration solution into the weighted decision model, and obtains a comprehensive weighted value;

[0142] The candidate configuration scheme with the highest comprehensive weighted value is determined as the target configuration scheme.

[0143] As a preferred solution, the environmental anti-interference data adopts an anti-interference index, and the anti-interference index is calculated based on the post-interference response time and the benchmark response time.

[0144] Correspondingly, the present application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the configuration method of the distribution network automation switch.

[0145] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the terminal and connects various parts of the entire terminal using various interfaces and lines.

[0146] The memory can be used to store the computer program. The processor implements the various functions of the terminal by running or executing the computer program stored in the memory and accessing the data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0147] Correspondingly, the present application also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the configuration method of the distribution network automation switch.

[0148] If the module integrated into the configuration system of the distribution network automation switch is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can also implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0149] Compared with the prior art, the present invention has the following beneficial effects:

[0150] The present invention application provides a configuration method, system, device and medium for distribution network automation switches, the configuration method comprising: obtaining a basic data set of line operation of a target distribution network; performing analysis based on the basic data set of line operation, and extracting line operation characteristic parameters in combination with a preset line aging index and environmental anti-interference data; simulating the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current through a preset operation characteristic description framework according to the line operation characteristic parameters, and obtaining distribution network operation stability characteristics; based on the distribution network operation stability characteristics, performing simulation tests on multiple candidate configuration schemes for automation switches in a target area of ​​the target distribution network, and obtaining the load transfer response time and self-healing strategy coverage of each candidate configuration scheme; determining a target configuration scheme based on the load transfer response time and self-healing strategy coverage, and combining environmental anti-interference data, and using the target configuration scheme to configure the automation switches in the target area. The present invention application obtains line operation characteristic parameters by analyzing the basic data set of line operation, taking into account the line aging index and environmental anti-interference data, and then simulates the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current to obtain the distribution network operation stability characteristics. The distribution network operation stability characteristics are used as simulation parameters of the candidate configuration scheme of the automation switch, and the target configuration scheme is determined according to the load transfer response time and self-healing strategy coverage of the candidate configuration scheme. The target configuration scheme obtained in this application can ensure that the deployment configuration of the automation switch takes into account factors such as load fluctuations, fault recovery (self-healing), and environmental interference, and can effectively adapt to the complexity and dynamic changes of load distribution in different regions, thereby ensuring the power supply reliability and operation stability of the distribution network.

[0151] The specific embodiments described above further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for configuring a distribution network automation switch, characterized in that: include: Obtain the line operation basic data set of the target distribution network; The line operation basic data set includes trunk line operation parameters and branch line operation parameters; Based on the trunk line operating parameters and the branch line operating parameters, determining the key nodes of the target distribution network and obtaining key node operating data; The load distribution unevenness is obtained based on the trunk line operating parameters, branch line operating parameters and key node operating data, combined with the preset line aging index and environmental anti-interference data; Obtaining historical fault recovery data and combining it with the trunk line operating parameters, branch line operating parameters, and key node operating data to obtain fault recovery line characteristics; Determining key node operation data, load distribution unevenness, and the fault recovery line characteristics as line operation characteristic parameters; constructing a feature description matrix based on the line operation characteristic parameters; Obtain historical load fluctuation data; Substituting the historical load fluctuation data and the characteristic description matrix into the preset operation characteristic description framework, and simulating the voltage amplitude change and current peak change in different time periods based on the output of the preset operation characteristic description framework, so as to determine the load fluctuation impact range; Based on the load fluctuation impact range, combined with the preset operation stability index, the abnormal fluctuation range of the voltage amplitude and the current peak is analyzed to obtain the fluctuation risk weighting coefficient, and the fluctuation risk weighting coefficient is determined as the distribution network operation stability characteristic; Based on the stable operation characteristics of the distribution network, simulation tests are performed on multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network to obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme; Based on the load transfer response time and the self-healing strategy coverage, combined with the environmental anti-interference data, a target configuration scheme is determined, and the target configuration scheme is used to configure the automation switches in the target area.

2. A method for configuring a distribution network automation switch according to claim 1, characterized in that: Before performing simulation tests on a plurality of candidate configuration schemes of the automation switches in the target area of ​​the target distribution network, the method further includes: Dividing the target distribution network into multiple sub-areas; obtaining network topology data of each sub-area; Based on the distribution network operation stability characteristics and the network topology data, analyzing and obtaining response information of the current switch configuration in each sub-area during the fault detection and fault recovery process; Calculating, based on the response information, a degree of restriction of the current switch configuration on power supply continuity; Filtering out sub-regions whose restriction degree is greater than a preset restriction threshold to obtain at least one restricted region; Analyzing the basic data set of line operation to obtain the node overload tolerance and dynamic load adaptability of the restricted area, and then obtaining the load pressure distribution of the restricted area; The interconnection line redundancy data and energy storage access data of the restricted area are obtained, and a comprehensive analysis is performed in combination with the load pressure distribution to determine the target area.

3. The method for configuring a distribution network automation switch according to claim 1, wherein: The self-healing strategy coverage is calculated based on the number of nodes that successfully self-healed and the total number of nodes.

4. The method for configuring a distribution network automation switch according to claim 3, characterized in that: Determining a target configuration solution based on the load transfer response time and the self-healing strategy coverage, combined with environmental anti-interference data, includes: Obtaining a weighted decision model, substituting the load transfer response time, self-healing strategy coverage, and environmental anti-interference data of each candidate configuration solution into the weighted decision model to obtain a comprehensive weighted value; The candidate configuration scheme with the highest comprehensive weighted value is determined as the target configuration scheme.

5. The method for configuring a distribution network automation switch according to claim 4, characterized in that: The environmental anti-interference data adopts an anti-interference index, and the anti-interference index is calculated according to the post-interference response time and the benchmark response time.

6. A configuration system for a distribution network automation switch, characterized in that: The configuration method of the distribution network automation switch according to any one of claims 1 to 5 is adopted; the configuration system includes a basic data acquisition module, a line operation feature extraction module, a distribution network operation stability feature acquisition module, a simulation module and a configuration module; wherein, The basic data acquisition module is used to obtain the line operation basic data set of the target distribution network; The line operation feature extraction module is used to analyze the line operation basic data set and extract line operation feature parameters in combination with the preset line aging index and environmental anti-interference data; The distribution network operation stability characteristic acquisition module is used to simulate the impact of load fluctuations in different time periods on the voltage fluctuation amplitude and current based on the line operation characteristic parameters through a preset operation characteristic description framework to obtain the distribution network operation stability characteristics; The simulation module is configured to perform simulation tests on multiple candidate configuration schemes of the automation switches in the target area of ​​the target distribution network based on the operational stability characteristics of the distribution network, and obtain the load transfer response time and self-healing strategy coverage of each candidate configuration scheme; The configuration module is used to determine a target configuration scheme based on the load transfer response time and the self-healing strategy coverage rate in combination with environmental anti-interference data, and configure the automation switches in the target area using the target configuration scheme.

7. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for configuring a distribution network automation switch according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the configuration method of the distribution network automation switch according to any one of claims 1 to 5.

Images