Distribution network real-time line change relation analysis method, system and equipment based on switch section and storage medium

Abstract

The invention discloses a distribution network real-time line change relation analysis method based on a switch section. The method comprises the following steps: carrying out real-time acquisition and displacement identification on a switching value; monitoring electric quantity and voltage data of a switch section, comparing current and voltage waveforms, amplitudes and phase parameters before and after switch deflection by combining topological structure information of the power distribution network after switch deflection, and judging a connection relation between a line and a transformer; analyzing and updating a real-time line change relation based on the acquired switch state, electric quantity and voltage data, dynamically deducing the line change relation after the switch state is changed, and updating line change relation data of the power distribution network in real time according to an analysis result; grouping the users in the switch section; correspondingly, the invention also discloses a distribution network real-time line change relation analysis system and equipment based on the switch section, and a storage medium. According to the method, the accuracy and the real-time performance of line change relation identification are improved, powerful support is provided for operation, maintenance and management of the power distribution network, and intelligent management of the power distribution network is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of smart grids, and in particular to a method, system, device and storage medium for analyzing real-time line-to-line relationship of a distribution network based on switch segments. Background Art

[0002] The distribution network is an important part of the power system, which is mainly responsible for distributing electric energy from the transmission network to end users. It includes various distribution facilities, such as distribution lines, distribution transformers, switchgear, protection devices, etc. These facilities work together to ensure that electric energy can be safely and stably delivered to every user.

[0003] The line-to-transformer relationship of the distribution network refers to the relationship between the feeder, distribution transformer (distribution transformer) and other devices in the distribution network and their interconnection. The feeder refers to the wire or cable that transmits electric energy from the power supply point (such as a substation) to the distribution transformer. The distribution transformer (distribution transformer) is located at the end of the distribution network and is used to convert the high-voltage electric energy transmitted by the feeder into low-voltage electric energy suitable for users. The correct line-to-transformer relationship is the basis for the safe and stable operation of the power system. It ensures that electric energy can be accurately and efficiently transmitted from the substation to the distribution transformer according to the predetermined path, and then supplied to the end user.

[0004] Due to the complexity of distribution network equipment and frequent adjustments to the operating mode, line-to-transformer relationships may be incorrect due to human error in input or failure to update in time after the operating mode is adjusted. Incorrect line-to-transformer relationships may lead to management risks such as incorrect distribution repair power outage objects and incorrect power outage information sending, affecting the operating efficiency and service quality of power supply companies.

[0005] With the development of technology, the line-variation relationship analysis of distribution networks is gradually becoming real-time. Real-time line-variation relationship can dynamically reflect the current actual operating status of the distribution network. When a fault or abnormal situation occurs, it helps to quickly locate and solve the problem, thereby improving the power supply reliability and responsiveness of the distribution network. The existing analysis methods of real-time line-variation relationship of distribution networks mainly include signal excitation method, state estimation method and data-driven method.

[0006] The signal excitation method injects a specific signal into the distribution network, observes and analyzes the signal transfer characteristics between the feeder and the distribution transformer, and infers the real-time line-to-line relationship between them. This method can directly reflect the line-to-line relationship by directly injecting the signal and observing the response, and is more accurate in diagnosing specific problems. However, this method usually requires interrupting the normal power supply for operation, which has a certain impact on the operation of the power grid; it is also complex to operate and has a high cost.

[0007] The state estimation method is a method for estimating the system state based on mathematical models and real-time measurement data. In the distribution network, the line-to-line relationship can be inferred by collecting real-time data such as voltage and current at each node using the state estimation algorithm. This method can fully and accurately reflect the real-time operating status of the distribution network, including the line-to-line relationship. However, it requires a large amount of real-time data support, has high computational complexity, and has high requirements for hardware and software systems.

[0008] The data-driven method mainly uses historical data and machine learning techniques to predict and analyze line-to-transformer relationships. Through training and learning of a large amount of historical data, the model can automatically identify and predict the affiliation between feeders and distribution transformers. This method uses historical data for training and learning, has strong adaptability and predictive capabilities, and can automatically identify and predict line-to-transformer relationships. However, it relies on a large amount of high-quality historical data, and the cost of data acquisition and processing is high; at the same time, the accuracy and stability of the model are greatly affected by data quality. Summary of the invention

[0009] Purpose of the invention: In order to overcome the shortcomings of the background technology, the first purpose of the present invention is to disclose a real-time line-to-line relationship analysis method for a distribution network based on a switch segment, which infers and updates the line-to-line relationship by real-time monitoring the state change of the switch and the response of the switch segment after the switch is changed;

[0010] The second object is to disclose a real-time line-to-line relationship analysis system for a distribution network based on switch sections;

[0011] The third object is to disclose a real-time line-to-line relationship analysis device for a distribution network based on a switch section;

[0012] The fourth purpose is to disclose a storage medium for real-time line-to-line relationship analysis of a distribution network based on switch sections.

[0013] Technical solution: The present invention discloses a method for analyzing the real-time line-to-line relationship of a distribution network based on a switch segment, comprising the following steps:

[0014] S1. Real-time acquisition and position change identification of switch quantity to capture the change of switch status in the distribution network;

[0015] S2. Monitor the power and voltage data of the switch section. After the switch changes position, combine the topological structure information of the distribution network to compare the current and voltage waveforms, amplitudes, and phase parameters before and after the switch changes position to determine whether the connection relationship between the line and the transformer has changed;

[0016] S3. Analyze and update the real-time line-to-line relationship based on the collected switch status, power and voltage data, dynamically infer the line-to-line relationship after the switch status changes, and update the line-to-line relationship data of the distribution network in real time according to the analysis results;

[0017] S4. Group the users in the switch segment and update dynamically.

[0018] Among them, S1 is implemented using smart terminal devices and sensors. When the switch state changes, a recording event will be triggered immediately, recording the change of the switch in detail, including the time of change, the type of change, and the state information before and after the change.

[0019] Furthermore, after the switch changes position, S2 collects electrical data of the feeders and distribution transformers associated with the switch section, including active power, reactive power, apparent power, current and voltage waveforms, amplitudes, and phases, and summarizes them according to n cycles, where n is the number of cycles, to obtain a set of power data for each distribution network.

[0020] Furthermore, S3 analyzes the switch state changes in combination with the topological structure information of the distribution network, and uses the Pearson correlation coefficient analysis algorithm model to dynamically infer the line-change relationship after the switch state changes.

[0021] Furthermore, S4 uses K-means clustering algorithm to preliminarily group users in the switch segment, and the initial value k of the category is the same as the number of switch segments in the distribution network;

[0022] Whenever the switch state changes, the correlation coefficient between each user and the line and transformer is calculated to construct a correlation coefficient matrix. When the value in the matrix exceeds the set threshold, it can be determined that the user belongs to the switch section and new user grouping information is obtained.

[0023] Furthermore, S1-S4 are integrated to output the updated line-transformer relationship information to the distribution network management system or other related application platforms to provide accurate data support.

[0024] Correspondingly, the disclosed distribution network real-time line-to-line relationship analysis system based on switch sections includes:

[0025] Data acquisition module, used to collect status data of each switch section in the distribution network in real time and transmit the data to the data center;

[0026] The data analysis and user grouping module is used to receive data from the data acquisition module, perform real-time analysis and processing, dynamically identify line-variation relationships, and use correlation coefficient matrix data analysis tools to initially group and update users within the switch segment;

[0027] The anomaly detection and alarm module monitors the abnormal conditions of the line-variable relationship through a pre-trained anomaly recognition model, quickly identifies abnormal data, and triggers an alarm mechanism when an anomaly is detected;

[0028] The line-transformer relationship update module is used to dynamically adjust the corresponding relationship between the lines and transformers in the distribution network, and synchronize the updated line-transformer relationship information to the power grid management system in real time;

[0029] The user interface and interaction module is used to display the real-time line-change relationship diagram and switch status information, and supports users to query, modify and confirm the line-change relationship.

[0030] Furthermore, the pre-trained anomaly recognition model is an anomaly recognition model based on support vector machines. It also observes whether the same group of users have similar power consumption fluctuations in the same time period, which indirectly verifies the correctness of the line-variation relationship.

[0031] Correspondingly, the disclosed switch segment-based distribution network real-time line-variation relationship analysis device includes: one or more processors;

[0032] A storage device for storing one or more programs and resource data;

[0033] When the one or more programs are executed by one or more processors, the one or more processors implement the above-mentioned distribution network real-time line-transformer relationship analysis method based on switch sections.

[0034] Correspondingly, the disclosed storage medium for real-time line-to-line relationship analysis of distribution network based on switch segments stores a computer program, which, when executed by a processor, implements the above-mentioned real-time line-to-line relationship analysis method of distribution network based on switch segments.

[0035] Beneficial effects: Compared with the prior art, the advantages of the present invention include:

[0036] Improved accuracy: By analyzing the status of the switch section in real time, the dynamic changes of the line-to-transformer relationship in the distribution network can be accurately tracked to ensure the real-time and accuracy of the line-to-transformer relationship. This eliminates the errors caused by the failure to record the changes of the line-to-transformer relationship in time in the traditional method, and significantly improves the accuracy of power grid data management.

[0037] Improved efficiency: The time and cost of manually troubleshooting line-to-transformer relationships are greatly reduced. The traditional method relies on manual on-site investigation, which is time-consuming, labor-intensive and inefficient. This method can quickly respond to changes in switch status and update line-to-transformer relationships in a timely manner through automated analysis, thereby improving the work efficiency of operation and maintenance personnel.

[0038] Line loss calculation optimization: Accurate line-change relationship is the basis for calculating line loss. This method provides real-time line-change relationship data to make line loss calculation more accurate. Compared with relying on outdated or inaccurate line-change relationship data for calculation, this method can significantly reduce the calculation error caused by inaccurate data, providing a more reliable decision-making basis for power grid planning and operation and maintenance.

[0039] Enhanced fault response and recovery capabilities: When a distribution network fault occurs, accurate line-to-transformer relationships are crucial for quickly locating and isolating the fault point. This method can provide real-time line-to-transformer relationship information when a fault occurs, helping operation and maintenance personnel to respond quickly, reducing power outage time and improving the fault recovery capability of the power grid.

[0040] Promote intelligent management: This method promotes the transformation of distribution network to intelligent management. Real-time line-transformer relationship analysis provides data support for the intelligent management of distribution network, making grid operation more refined and efficient. Through integration with existing automation systems, the intelligent level of grid management is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a flow chart of the method of the present invention;

[0042] Figure 2 It is the connection diagram of the system of the present invention;

[0043] Figure 3 Provides the line loss calculation process for the power grid resource business middle office system based on the real-time line-variation relationship;

[0044] Figure 4 This is a schematic diagram of the switch segment division in the experimental environment of Example 5;

[0045] Figure 5 The invention is applied to a power system monitoring platform to implement an operational process for distribution network fault response and rapid recovery. DETAILED DESCRIPTION

[0046] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0047] Example 1

[0048] In the distribution network, the change of switch S1 will directly lead to the adjustment of the line-transformer relationship. In order to illustrate this change more intuitively, a simplified distribution network scenario is constructed. Assume that the distribution network contains two main lines L1 and L2, and two transformers T1 and T2. Switch S1 is located at the intersection of lines L1 and L2, controlling the connection between the two lines. Transformer T1 is connected to line L1, and transformer T2 is connected to line L2.

[0049] Initial state: When switch S1 is in the closed state, lines L1 and L2 are connected to form a continuous power grid. At this time, transformers T1 and T2 are connected to the entire distribution network through switch S1.

[0050] Switch S1 is open: When switch S1 changes from a closed state to an open state, the connection between lines L1 and L2 is cut off. At this time, the distribution network is divided into two parts: one part contains line L1 and transformer T1, and the other part contains line L2 and transformer T2.

[0051] This change is reflected in the line-to-line relationship: originally T1 and T2 were both connected to the entire network through S1, but now they are separated and belong to two different parts of the power grid. This means that these two parts need to be considered separately when performing power dispatching, troubleshooting or load transfer. When troubleshooting, if you know that switch S1 is disconnected, you can quickly locate the area (L1 or L2) where the fault may have occurred without checking the entire distribution network. Similarly, in load transfer or maintenance operations, real-time line-to-line relationship data can also help operators make more informed decisions.

[0052] First, this method uses the real-time acquisition and position change identification technology of switch quantities to accurately capture the changes in the switch status in the distribution network. Whenever the switch changes position, the system will immediately record and analyze the impact of this change on the line-transformer relationship. Secondly, by real-time monitoring of the power data and voltage data in the switch segment, combined with data analysis technology, it can dynamically determine whether the connection relationship between the line and the transformer has changed. Finally, this method can also use advanced data analysis tools such as correlation coefficient matrices to group and update users in the switch segment, thereby more accurately identifying the distribution network line-transformer relationship. The specific contents of this method are as follows, and the relationship between each link is as follows: Figure 1 As shown:

[0053] S1. Real-time acquisition of switch quantity and position change recognition:

[0054] The present invention first establishes an efficient real-time acquisition system for switch quantities, which can accurately capture the state changes of each switch in the distribution network. By using intelligent terminal devices and sensors, the state information of the switch quantity is monitored in real time, the position change of the switch is quickly identified, and a recording event is triggered to record the change of the switch in detail, including the time of the change, the type of change (closed or open), and the state before and after the change. The state of the switch quantity is usually represented by a binary number, "1" represents closed, and "0" represents open. Position change identification is achieved by performing a logical operation ("exclusive OR" operation) on the original state and the current state, focusing on the state change of the switch.

[0055] S2, switch section power and voltage data monitoring:

[0056] Monitor the power and voltage data of the switch section (i.e., each section in the power grid divided by the switch device). After the switch changes position, use the preset algorithm and model to perform real-time analysis on the monitoring data, compare the active power, reactive power, apparent power and voltage waveform, amplitude, phase and other data before and after the switch change, determine whether the connection relationship between the line and the transformer has changed, and summarize according to n cycles, where n is the number of cycles, to obtain a set of power data for each distribution network.

[0057] S3, real-time analysis and update of line-change relationships:

[0058] Based on the collected switch status, power and voltage data, the present invention proposes a real-time line-change relationship analysis algorithm: after the system receives the data, it first performs preprocessing, including data cleaning, analysis and formatting. Combined with the topological structure information of the distribution network, the switch state change is analyzed, and the Pearson correlation coefficient analysis algorithm model is used to dynamically infer the line-change relationship after the switch section changes. According to the analysis results, the line-change relationship data of the distribution network is updated in real time to ensure that the line-change relationship stored in the system is consistent with the actual operating status of the current distribution network.

[0059] S4. User grouping and updating:

[0060] In order to more accurately identify line-transformer relationships, the present invention adopts an innovative user grouping and dynamic update mechanism. First, the K-means clustering algorithm is used to preliminarily group users within the switch segment, and the category initial value k is the same as the number of switch segments in the distribution network. Whenever the switch state changes, advanced data analysis tools such as correlation coefficient matrices are used to reclassify users to ensure that the lines and transformers connected to each user can be more accurately determined. In this way, it is possible to clearly identify which users belong to the same feeder or distribution station area, and update the switch segment information to which the users belong accordingly. This processing method can effectively reduce the risk of misjudgment caused by the mixing of user data, thereby significantly improving the accuracy of line-transformer relationship identification.

[0061] S5. System integration and application:

[0062] The present invention integrates the above-mentioned technologies into a unified system, realizing real-time monitoring and analysis of the line-transformer relationship of the distribution network. The system outputs the updated line-transformer relationship information to the distribution network management system or other related application platforms, providing accurate data support for the line loss calculation, dispatching operation, maintenance, power supply services, etc. of the distribution network, and can be widely used in the fields of operation and maintenance, management, troubleshooting and emergency repair of the distribution network, significantly improving the operation efficiency and service quality of the distribution network.

[0063] This method reduces the impact of external interference and improves the accuracy of analysis. It does not rely on complex system models, but directly observes the changes in line-variation relationships through the actual operation of switches, thereby avoiding the impact of model errors. It does not require a large amount of historical data, but obtains line-variation relationship information through real-time switch operations, so it is more real-time and flexible. It can be combined with the correlation coefficient analysis method to update the data and verify the accuracy of the data by operating the switch in real time and observing the response changes of the system and the status of users in the same group, thereby improving the reliability of line-variation relationship analysis.

[0064] Example 2

[0065] The present invention also provides a real-time line-to-line relationship analysis system for a distribution network based on switch sections, such as Figure 2 As shown, including:

[0066] Data acquisition module: This module uses intelligent terminal devices and sensors to collect real-time status data of each switch segment in the distribution network, such as current, voltage, power and switch status, and transmits these data to the data center through communication networks (such as optical fiber communication, wireless communication, etc.). The data center cleans, analyzes and formats the received data to ensure the timeliness and accuracy of the data. This is the basis of the system and provides raw data for subsequent data analysis.

[0067] Data analysis and user grouping module: This module receives data from the data acquisition module and uses the correlation coefficient analysis algorithm to perform real-time analysis and processing. It dynamically identifies the adjustment of the line-transformer relationship based on the change of the switch status. It uses data analysis tools such as the correlation coefficient matrix to identify which users belong to the same feeder or the same distribution network, and updates the switch section information to which the users belong accordingly, reducing misjudgments caused by mixed user data, thereby improving the accuracy of line-transformer relationship identification.

[0068] Abnormal detection and alarm module: This module is responsible for monitoring abnormalities in the line-to-transformer relationship. It uses a pre-trained abnormal recognition model based on support vector machines, inputs relevant electrical data (such as current, voltage, etc.) and user group information, monitors abnormalities in the line-to-transformer relationship, quickly identifies abnormal data, and triggers the alarm mechanism in time when an abnormality is detected, notifying the operation and maintenance personnel to handle it. Observing whether the same group of users has similar power consumption fluctuations in the same time period can indirectly verify the correctness of the line-to-transformer relationship.

[0069] Line-transformer relationship update module: Based on the correct line-transformer relationship, the corresponding relationship between the lines and transformers in the distribution network is dynamically adjusted to ensure the accuracy of the power grid topology. Through the standardized data interface, the updated line-transformer relationship information is synchronized to the distribution network management system in real time to maintain the integrity and consistency of the data. The system will also generate corresponding logs for subsequent tracing and auditing.

[0070] User interface and interaction module: This module provides users with an intuitive operation interface, displays real-time line-change relationship diagrams and switch status information, and supports users to query, modify and confirm line-change relationships, thereby improving the system's usability and interactivity.

[0071] Example 3

[0072] The present invention also provides a switch segment-based distribution network real-time line-to-line relationship analysis device, the device comprising: one or more processors;

[0073] A storage device is used to store one or more programs and resource data.

[0074] When the one or more programs are executed by one or more processors, the one or more processors implement the above-mentioned distribution network real-time line-transformer relationship analysis method based on switch sections.

[0075] Example 4

[0076] The present invention also provides a distribution network real-time line-to-line relationship analysis storage medium based on switch segments, on which a computer program is stored. When the program is executed by a processor, the above-mentioned distribution network real-time line-to-line relationship analysis method based on switch segments can be implemented.

[0077] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods or computer program products. Therefore, the present application may adopt the form of a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0078] The present application is described with reference to the flowcharts of the methods and computer program products according to the embodiments of the present application. It should be understood that each process in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A device that specifies the functions of a process or multiple processes.

[0079] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple processes.

[0080] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 The steps of a specified function in a process or multiple processes.

[0081] Example 5

[0082] Through the analysis of the switch section, the line-to-line relationship of the power grid resource business center system is monitored and managed in real time to more accurately calculate the line loss.

[0083] The real-time line-to-line relationship and line loss calculation of the power grid resource business middle-office system include three modules: message service, power grid resource business middle-office system, and line loss calculation. The message service module is mainly responsible for collecting and transmitting real-time messages in the power grid, including the following two steps:

[0084] Switch position change: Monitor and capture the state changes of switches in the power grid.

[0085] Write position change message: Write the captured switch position change information into a message and prepare to send it to the power grid resource business middle-end system.

[0086] As the core processing module, the power grid resource business middle platform system is responsible for receiving messages sent by the message service and performing corresponding processing and analysis, including the following six steps:

[0087] Monitor position change messages: Continuously monitor switch position change messages from the message service.

[0088] Analyze the affected switch segments: After receiving the position change message, analyze which switch segments are affected by the position change.

[0089] Power switch update: Update the status of the affected power switch based on the analysis results.

[0090] Iterative analysis of affected switch segments: Iterative analysis of affected switch segments to ensure that all related switch segments are updated.

[0091] Analyze real-time line-variation relationships: Re-analyze the real-time line-variation relationships of the power grid based on the updated switch status.

[0092] Actively push real-time line change relationship: Actively push the analyzed real-time line change relationship data to the line loss calculation link.

[0093] The line loss calculation module uses the real-time line-to-line relationship data pushed by the power grid resource business middle-end system to calculate the line loss, including the following three steps:

[0094] Update line-transformer relationship: Receive and apply real-time line-transformer relationship data pushed by the power grid resource business middle-office system.

[0095] Balance power data: Verify and balance the collected power data to ensure the accuracy and consistency of the data.

[0096] Calculate real-time line loss: Use the updated line-to-line relationship and balanced power data to calculate the real-time line loss of the power grid through a specific algorithm. For each switch segment, use the formula P = I 2 R (where P is power loss, I is the current flowing through the switch segment, and R is the resistance of the switch segment) is used to calculate the power loss of the segment. Since the resistance R is fixed, the real-time monitoring data of the current I is the key to calculating the loss. The losses of all switch segments are added together to obtain the total loss of the entire distribution network.

[0097] In order to verify the actual application effect of the real-time line-transformer relationship analysis method of distribution network based on switch section in line loss calculation, a comparative experiment was designed to compare the differences between the new method and the previous calculation method based on static line-transformer relationship in four key indicators: line loss calculation accuracy, response time, packaging rate, and operation complexity.

[0098] The experimental environment is selected as a distribution network under a 110KV transformer. The distribution network structure is a typical star structure. Based on the switch segment division principle, it is divided into 5 switch segments, marked as A1, A2, A3, A4, and A5. Figure 4 Each switch segment is configured with a switch, a transformer, and a terminal user in a standardized manner. These users mainly include large power users such as factories and schools.

[0099] In order to ensure the fairness and scientificity of the experiment, the two methods were tested 20 times in the same distribution network environment, and the average value was taken as the final result. The operation complexity was measured by the operation steps.

[0100]

[0101] Experimental data show that the real-time line-to-line relationship analysis method for distribution networks based on switch sections significantly improves the accuracy of line loss calculations. Since the changes in line-to-line relationships can be tracked in real time, this method can more accurately reflect the actual situation of the power grid and is much better than the old method in terms of response time. In the method based on static line-to-line relationships, the packing rate is high because accurate line loss data needs to be obtained by packing the lines. In the new method, the packing rate is 0% because accurate data can be obtained without packing, and line loss calculation results can be provided faster. The new method simplifies the operating process, reduces operational complexity, and enables business personnel to manage power grid operations more easily.

[0102] By applying the real-time line-transformer relationship analysis method of the distribution network based on switch sections, the line loss calculation function of the power system monitoring platform has been successfully optimized. Previously, the line loss system could only obtain static line-transformer relationships, which meant that when the temporary operation mode was adjusted, the two interconnection lines had to be packaged to obtain accurate line loss data. However, this method not only increased the complexity of the operation, but also affected business efficiency. Now, with the help of a new analysis method, changes in line-transformer relationships can be tracked in real time, so that line losses can be calculated more accurately without the need to package lines. This improvement significantly reduces the packaging rate, making line loss calculations more efficient, while also better meeting business needs.

[0103] Example 6

[0104] The present invention is applied to the power system monitoring platform (PMS) distribution network fault response and rapid recovery, and the implementation content is as follows: Figure 5 As shown:

[0105] Using intelligent terminal devices and sensors, the status information of the switch section is monitored in real time, and the position change of the switch is quickly identified and recorded. The state of the switch is represented by a binary number, 1 represents closed and 0 represents open. After the switch changes position, the electrical data of the feeder and distribution transformer associated with the switch section is collected, including active power, reactive power, apparent power, current and voltage waveforms, amplitude, phase, etc., and summarized according to n cycles (n is the number of cycles) to obtain the power data set of each distribution network.

[0106] After receiving the data, the system first performs preprocessing, including data cleaning and formatting. Combined with the topological structure information of the distribution network, by comparing the current and voltage waveforms, amplitudes, phases and other parameters before and after the switch is changed, it can be determined whether the connection relationship between the line and the transformer has changed. For example, if the current or voltage data of a phase changes significantly after the switch is changed, it means that the connection state of the phase has changed. The correlation coefficient analysis algorithm model is used to dynamically infer the line-to-transformation relationship after the switch segment changes. The correlation coefficient analysis uses the Pearson correlation coefficient to calculate the correlation between the power and voltage data. After the switch state changes, the correlation coefficient is recalculated and its changes are observed. If the correlation coefficient changes significantly, it means that the line-to-transformation relationship has also changed.

[0107] The Pearson correlation coefficient r between two variables X and Y is defined as the quotient of the covariance and standard deviation between the two variables. The formula is as follows. It is used to measure the correlation between two variables X and Y, and its value is between -1 and 1.

[0108]

[0109] In order to further improve the accuracy of line-transformer relationship recognition, the K-means clustering algorithm is used to automatically group users based on their electricity consumption type (residential electricity, commercial electricity, etc.), electricity consumption, electricity consumption time and other attributes. The initial value k of the clustering algorithm is the same as the number of switch sections. After the switch state changes, the correlation coefficient between each user and the line and transformer is calculated, and a correlation coefficient matrix is ​​constructed. When the value in the matrix exceeds the threshold θ, it can be determined that the user belongs to the switch section, and new user grouping information is obtained. Here, the θ value is set to 0.7.

[0110] Pre-train anomaly recognition models based on support vector machines (SVMs), input relevant electrical data (such as current, voltage, etc.) and user group information, monitor abnormalities in line-to-transformer relationships, quickly identify abnormal data, and promptly trigger alarm mechanisms when abnormalities are detected, quickly locate and isolate fault points, and remotely control and operate power systems through intelligent devices such as remote control terminal units (RCUs) and automated switches; help operation and maintenance personnel respond quickly, reduce power outage time, and improve the fault recovery capabilities of the power grid. Observing whether the same group of users experience similar power consumption fluctuations in the same time period can indirectly verify the correctness of the line-to-transformer relationship.

[0111] This module automatically updates the line-transformer relationship of the distribution network based on the new line-transformer relationship. First, based on the correct line-transformer relationship data, the corresponding relationship between the lines and transformers in the distribution network is dynamically adjusted to ensure the accuracy of the grid topology. Secondly, through the standardized data interface, the updated line-transformer relationship information is synchronized to the PMS system in real time to maintain the integrity and consistency of the data. To ensure the traceability and transparency of the operation, the system will automatically generate a detailed operation log to record each update activity of the line-transformer relationship for subsequent auditing and inspection. This process realizes the intelligent update and management of the line-transformer relationship of the distribution network, and improves the efficiency and reliability of grid operation and maintenance.

[0112] The user interface and interaction module are important components of the system. They can render and display the line-to-transformer relationship diagram of the distribution network in real time, clearly presenting the topological connection relationship between the line and the transformer. Users can also view the real-time status information of each switchgear through this interface to keep abreast of the operation status of the power grid. This module also supports users to perform advanced interactive operations. Users can use the query function on the interface to quickly retrieve specific line-to-transformer relationship data to meet different analysis needs. The editing function allows users to modify the corresponding relationship between the line and the transformer when necessary, and the confirmation function verifies the correctness of the operation.

[0113] When a distribution network fails, accurate line-transformer relationships are crucial for quickly locating and isolating the fault point. This application can provide real-time line-transformer relationship information when a fault occurs, helping operation and maintenance personnel to respond quickly, reduce power outage time, and improve the fault recovery capability of the power grid.

Claims

1. A real-time line-to-line relationship analysis method for a distribution network based on switch sections, characterized in that: The following steps are involved: S1. Real-time acquisition and position change identification of switch quantity to capture the change of switch status in the distribution network; S2. Monitor the power and voltage data of the switch section. After the switch changes position, combine the topological structure information of the distribution network to compare the current and voltage waveforms, amplitudes, and phase parameters before and after the switch changes position to determine whether the connection relationship between the line and the transformer has changed; S3. Analyze and update the real-time line-to-line relationship based on the collected switch status, power and voltage data, dynamically infer the line-to-line relationship after the switch status changes, and update the line-to-line relationship data of the distribution network in real time according to the analysis results; S4. Group the users in the switch segment and update dynamically.

2. The method for analyzing the real-time line-variation relationship of a distribution network based on switch segments according to claim 1 is characterized in that: S1 is implemented using smart terminal devices and sensors. When the switch state changes, a recording event will be triggered immediately, recording the switch change in detail, including the time of change, the type of change, and the state information before and after the change.

3. The method for analyzing the real-time line-variation relationship of a distribution network based on switch segments according to claim 1 is characterized in that: After the switch changes position, S2 collects electrical data of the feeders and distribution transformers associated with the switch section, including active power, reactive power, apparent power, current and voltage waveforms, amplitudes, and phases, and summarizes them according to n cycles, where n is the number of cycles, to obtain a set of power data for each distribution network.

4. The method for analyzing the real-time line-variation relationship of a distribution network based on switch segments according to claim 1 is characterized in that: S3 combines the topological structure information of the distribution network to analyze the switch state changes, and uses the Pearson correlation coefficient analysis algorithm model to dynamically infer the line-to-line relationship after the switch state changes.

5. The method for analyzing the real-time line-variation relationship of a distribution network based on switch segments according to claim 1 is characterized in that: S4 uses K-means clustering algorithm to preliminarily group users in the switch segment, and the initial value k of the category is the same as the number of switch segments in the distribution network; Whenever the switch state changes, the correlation coefficient between each user and the line and transformer is calculated to construct a correlation coefficient matrix. When the value in the matrix exceeds the set threshold, it can be determined that the user belongs to the switch section and new user grouping information is obtained.

6. The method for analyzing the real-time line-variation relationship of a distribution network based on switch segments according to claim 1 is characterized in that: Integrate S1-S4 to output the updated line-transformer relationship information to the distribution network management system or other related application platforms to provide accurate data support.

7. A real-time line-to-line relationship analysis system for distribution network based on switch sections, characterized in that: include: Data acquisition module, used to collect status data of each switch section in the distribution network in real time and transmit the data to the data center; The data analysis and user grouping module is used to receive data from the data acquisition module, perform real-time analysis and processing, dynamically identify line-variation relationships, and use correlation coefficient matrix data analysis tools to initially group and update users within the switch segment; The anomaly detection and alarm module monitors the abnormal conditions of the line-variable relationship through a pre-trained anomaly recognition model, quickly identifies abnormal data, and triggers an alarm mechanism when an anomaly is detected; The line-transformer relationship update module is used to dynamically adjust the corresponding relationship between the lines and transformers in the distribution network, and synchronize the updated line-transformer relationship information to the power grid management system in real time; The user interface and interaction module is used to display the real-time line-change relationship diagram and switch status information, and supports users to query, modify and confirm the line-change relationship.

8. The real-time line-transformer relationship analysis system for distribution network based on switch segments according to claim 7 is characterized in that: The pre-trained anomaly recognition model is an anomaly recognition model based on support vector machines. It also observes whether the same group of users have similar power consumption fluctuations in the same time period, indirectly verifying the correctness of the line-variation relationship.

9. A real-time line-to-line relationship analysis device for distribution network based on switch sections, characterized in that: include: one or more processors; A storage device for storing one or more programs and resource data; When the one or more programs are executed by one or more processors, the one or more processors implement the real-time line-transformer relationship analysis method for distribution network based on switch segments as described in any one of claims 1 to 6.

10. A storage medium for real-time line-to-line relationship analysis of a distribution network based on switch segments, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the method for analyzing the real-time line-to-line relationship of a distribution network based on switch sections as claimed in any one of claims 1 to 6 is implemented.

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