A fast-locating distribution network fault management system and method

Abstract

The present invention discloses a distribution network fault management system and method for rapid positioning, including a data acquisition module, a data analysis and processing module, a fault positioning module and a display and decision module, and the present invention relates to the technical field of distribution network management. The distribution network fault management system and method for rapid positioning, by providing a distribution network fault management system, utilizes the high precision of sensors and data preprocessing measures to reduce positioning errors caused by inaccurate data, completes multiple fault positioning, preferentially determines the area where the fault occurs, and then combines nodes to realize specific judgment of the location where the fault occurs, so that not only can the accurate positioning operation of the fault be completed quickly, but also the interference of external factors is eliminated, the positioning accuracy is effectively improved, and at the same time, it is convenient for all-round management of various areas of the distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network management, and in particular to a distribution network fault management system and method for rapid positioning. Background Art

[0002] With the continuous development of the economy and society, the demand for electricity continues to grow, resulting in the gradual expansion of the network scale of the distribution network and its increasingly complex structure. As the link in the power system that directly supplies power to users, the reliability of the distribution network directly affects various aspects such as industrial production and residents' lives. The traditional fault location method relies on manual analysis and judgment of a large amount of monitoring data, and manual data processing takes a long time.

[0003] The reference patent name is: A distribution network fault isolation method and system (patent publication number: CN117578370A, patent publication date: 2024-02-20), including: configuring distribution network nodes, performing node timing monitoring, and generating node timing data sets; when a distribution network fault is reported, performing timing location and fault feature set construction based on the fault information; establishing a fault interval based on the timing location result and the fault feature set; making timing fault isolation decisions based on maintenance progress constraints, isolation cost analysis results and fault prediction identifiers to generate a first decision result; making timing fault isolation decisions based on maintenance progress constraints, importance identifiers and fault prediction identifiers to generate a second decision result; integrating the decision results to perform fault management of distribution network nodes, which solves the technical problem of the lack of rapid positioning and comprehensive optimization of distribution network fault isolation decisions in the prior art, and achieves the technical effect of realizing rapid fault positioning and distribution network fault isolation optimization that takes into account economic cost and power supply reliability.

[0004] Based on the description in the above documents, the existing distribution network will continuously update the distribution line structure, and in the process of fault management and detection, the prediction of the fault location is often different from the actual situation, and the location of the fault point cannot be accurately determined. The fault location technology based on simple threshold judgment or rough algorithm is inefficient for fault analysis under complex network structure. Therefore, the present invention provides a distribution network fault management system and method for rapid positioning. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a distribution network fault management system and method for rapid positioning, which solves the problem that the existing distribution network will continuously update the distribution line structure, and then in the process of fault management and detection, the prediction of the fault location is often different from the actual one, and the location of the fault point cannot be accurately determined. The fault location technology based on simple threshold judgment or rough algorithm is inefficient in fault analysis under complex network structure.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A distribution network fault management system for rapid positioning, comprising:

[0007] The data acquisition module is equipped with multiple high-precision sensors deployed in the distribution network to monitor and collect the electrical operation parameters of the distribution network in real time;

[0008] The data analysis and processing module realizes the classification and processing of the collected data, establishes a fault management model, realizes the parallel analysis of each node data to locate the fault, and completes the screening operation of multiple fault ranges;

[0009] The fault location module uses a search algorithm to process the scope of a fault and calculate the specific location where the fault occurs;

[0010] The display and decision-making module intuitively displays the operating status and fault location results of the distribution network through the display interface, and provides corresponding fault repair plans based on the fault location results and distribution network operating rules.

[0011] Preferably, the data classification processing operation implemented in the data analysis and processing module is:

[0012] A1. The distribution network is divided into regions according to the operation relationship of the distribution network, and data is classified based on the divided regions;

[0013] A2. Set the equipment type in the divided area as the analysis node, set the parameter category corresponding to the equipment type as the classification node, and then fill the parameter into the parameter column where the analysis node and the classification node intersect;

[0014] A3. Complete the extraction operation of the required data, and then remove the unextracted data to form the required data set.

[0015] Preferably, the operation of establishing the fault management model in the data analysis and processing module is:

[0016] B1. Form a scaled fault management basic model according to the location information of various devices in the distribution network;

[0017] B2. Combined with the distribution network topology, the operating parameters between devices are extracted and introduced into the fault management basic model to form a fault management model, so as to realize the association operation of devices between models;

[0018] B3. Introduce the collected real-time data into the fault management model to perform data analysis operations to determine the location of the fault data.

[0019] Preferably, the steps of performing a fault location in the data analysis and processing module are:

[0020] C1. Extract historical fault condition data and determine the analysis order of the divided areas according to the number of fault conditions;

[0021] C2. Perform analysis operations on the divided areas in sequence, divide the divided areas according to the processing nodes, perform measurement and comparison operations based on the input value and output value of each processing node, and determine whether the divided area is a fault area;

[0022] C3. After each measurement and comparison, the data is compensated, and then the next measurement is performed until the processing node of the single-item division area completes the measurement.

[0023] Preferably, the specific operation of judging whether the divided area is a fault area in C2 is:

[0024] c21. Determine the input source of the divided area, and then record the input value of the source and mark it as (M1+…+M n ), determine the processing node for subsequent transmission based on the input source of the divided area;

[0025] c22. Set the weight threshold between the input source and the next processing node to W m , and the output preset value interval at the corresponding processing node is [P1, P2];

[0026] c23, according to the input value M n and the weight threshold W at the next processing node m The actual output value is calculated and marked as Q, and then the actual output value Q is compared with the output preset value interval;

[0027] c24. When Q∈[P1, P2], the data at the current processing node is normal. [P1, P2], the current divided area is the fault area and is marked.

[0028] Preferably, the calculation formula of the actual output value is:

[0029] ;

[0030] Among them, W n represents the weight threshold at the mth node, M n Indicates the input value of the nth input source.

[0031] Preferably, the data compensation operation in C3 is:

[0032] c31. After completing operations c21 to c24, use the current output processing node as the next input source, and then determine the weight threshold W corresponding to the next processing node. m Calculate the actual output value;

[0033] c32. The input value of the processing node currently outputted is calculated by using the actual output value Q and the output preset value interval [P1, P2] to obtain the compensation value q, and the calculation formula of the compensation value q is:

[0034] q = (P1 + P2) / 2 - Q;

[0035] And according to the compensation value q, the input value as the next input source is obtained based on the actual output value Q at the current output processing node plus the compensation value q.

[0036] Preferably, the operation of the search algorithm in the fault location module is:

[0037] D1. Based on the determined fault range, input signals from the marked processing node to the output terminals of the previous order, and record the time of signal feedback as T;

[0038] D2. Determine whether the current line is a faulty line based on whether the output end receives the input signal. If the output end receives the input signal normally, it is a normal line. Otherwise, it is a faulty line if it fails to receive the input signal.

[0039] D3. Calculate the specific location of the fault point based on the determined fault line.

[0040] Preferably, the calculation formula for the fault point position in D3 is:

[0041] L = (T × V) / 2;

[0042] L is the distance from the current signal input node to the fault point, T is the time from the input of the current signal input node to the time when the reflected signal is received by the signal input node, and V is the uniform transmission rate of the signal in the line.

[0043] The present invention also discloses a distribution network fault management method for rapid positioning, which specifically comprises the following steps:

[0044] S1. Use high-precision sensors deployed at each node of the distribution network to realize real-time collection of operating parameters of electrical equipment in the distribution network;

[0045] S2. Analyze the data, complete the measurement operation on the data to implement a primary fault location operation, determine the area where the fault data exists, and determine whether there are multiple fault data, and then implement secondary fault location based on the determined fault area to determine the location of the specific fault in the line;

[0046] S3. Based on the collected data and the result data obtained by analysis, the fault conditions in the historical data are extracted, and the result data is matched with the historical fault data, and corresponding fault repair plans or suggestions are generated, and the maintenance personnel are informed to handle them in a timely manner.

[0047] The present invention provides a distribution network fault management system and method for rapid positioning. Compared with the prior art, it has the following beneficial effects:

[0048] (1) The distribution network fault management system and method for rapid positioning, by providing a distribution network fault management system, utilizes the high precision of sensors and data preprocessing measures to reduce positioning errors caused by inaccurate data, completes multiple fault positioning, preferentially determines the area where the fault occurs, and then combines the nodes to achieve specific judgment of the location where the fault occurs. In this way, not only can the accurate positioning operation of the fault be completed quickly, but also external factors can be eliminated to effectively improve the positioning accuracy, and at the same time facilitate the all-round management of various areas of the distribution network.

[0049] (2) The distribution network fault management system and method for rapid positioning extracts historical fault data and determines the analysis order of the divided areas according to the number of times the fault occurs, thereby giving priority to areas where faults often occur and effectively reducing the positioning time. The divided areas are then divided according to processing nodes, and the input and output values ​​of each processing node are combined for measurement and comparison operations to achieve the first positioning of faults in a large area. After measurement and comparison, the data is compensated to improve the fault tolerance of the measurement, and the measurement of each processing node in the area is effectively realized to avoid omissions in the search for fault areas.

[0050] (3) The distribution network fault management system and method for rapid positioning, based on the determined fault range, inputs signals from the marked processing node to the output terminals of the previous sequence, and confirms whether the current line is a faulty line based on whether the output terminal receives the input signal. If the output terminal fails to receive the input signal, it is a faulty line, and realizes secondary fault point positioning based on the first narrowing of the range, and obtains the specific location of the corresponding fault point based on the detection data. Effective and rapid fault positioning enables operation and maintenance personnel to arrive at the fault site in time and quickly repair the fault, thereby reducing the overall power outage time of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a principle block diagram of the fault management system of the present invention;

[0052] Figure 2 This is an operational flow chart of a fault location of the present invention;

[0053] Figure 3 This is an operational flow chart of the secondary fault location of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] See also Figure 1-Figure 3 , the present invention provides three technical solutions:

[0056] Embodiment 1: A distribution network fault management system for rapid location, comprising:

[0057] The data acquisition module is equipped with multiple high-precision sensors deployed in the distribution network to monitor and collect the electrical operation parameters of the distribution network in real time;

[0058] The data analysis and processing module realizes the classification and processing of the collected data, establishes a fault management model, realizes the parallel analysis of each node data to locate the fault, and completes the screening operation of multiple fault ranges;

[0059] The fault location module uses a search algorithm to process the scope of a fault and calculate the specific location where the fault occurs;

[0060] The display and decision-making module intuitively displays the operating status and fault location results of the distribution network through the display interface, and provides corresponding fault repair plans based on the fault location results and distribution network operating rules.

[0061] The display and decision module extracts historical fault conditions and corresponding fault solution methods from the database, and then matches the analyzed fault point conditions with historical fault conditions. If the corresponding solution characteristics are obtained, the display informs the personnel to handle them. If the corresponding range cannot be matched, after the emergency treatment of the distribution network is realized, the nearest personnel are notified to observe and handle the operation in time;

[0062] These high-precision sensors can collect data at a high frequency (such as 1,000 sampling times per second) to ensure that instantaneous electrical changes can be captured.

[0063] Among them, by setting up a distribution network fault management system, the high precision of sensors and data preprocessing measures are used to reduce the positioning error caused by inaccurate data, and multiple fault locations are completed, the area where the fault occurs is determined first, and then the specific judgment of the fault location is realized by combining the nodes. This not only can quickly complete the accurate positioning operation of the fault, and then eliminate the interference of external factors, effectively improve the positioning accuracy, but also facilitate the all-round management of various areas of the distribution network.

[0064] In the embodiment of the present invention, the data classification processing operation implemented in the data analysis and processing module is:

[0065] A1. The distribution network is divided into regions according to the operation relationship of the distribution network, and data is classified based on the divided regions;

[0066] A2. Set the equipment type in the divided area as the analysis node, set the parameter category corresponding to the equipment type as the classification node, and then fill the parameter into the parameter column where the analysis node and the classification node intersect;

[0067] A3. Complete the extraction operation of the required data, and then remove the unextracted data to form the required data set.

[0068] In the embodiment of the present invention, the operation of establishing the fault management model in the data analysis and processing module is:

[0069] B1. Form a scaled fault management basic model according to the location information of various devices in the distribution network;

[0070] B2. Combined with the distribution network topology, the operating parameters between devices are extracted and introduced into the fault management basic model to form a fault management model, so as to realize the association operation of devices between models;

[0071] B3. Introduce the collected real-time data into the fault management model to perform data analysis operations to determine the location of the fault data.

[0072] Among them, the established fault management model is consistent with the actual electrical conditions of the distribution network, so that the same situation is generated while the data is introduced, and the data can be freely set and detected based on the fault management model, so as to realize the fault analysis operation more effectively.

[0073] In the embodiment of the present invention, the steps of performing a fault location in the data analysis and processing module are as follows:

[0074] C1. Extract historical fault condition data and determine the analysis order of the divided areas according to the number of fault conditions;

[0075] C2. Perform analysis operations on the divided areas in sequence, divide the divided areas according to the processing nodes, perform measurement and comparison operations based on the input value and output value of each processing node, and determine whether the divided area is a fault area;

[0076] C3. After each measurement and comparison, the data is compensated, and then the next measurement is performed until the processing node of the single-item division area completes the measurement.

[0077] In the embodiment of the present invention, the specific operation of determining whether the divided area is a fault area in C2 is:

[0078] c21. Determine the input source of the divided area, and then record the input value of the source and mark it as (M1+…+M n ), determine the processing node for subsequent transmission based on the input source of the divided area;

[0079] c22. Set the weight threshold between the input source and the next processing node to W m , and the output preset value interval at the corresponding processing node is [P1, P2];

[0080] c23, according to the input value M n and the weight threshold W at the next processing node m The actual output value is calculated and marked as Q, and then the actual output value Q is compared with the output preset value interval;

[0081] c24. When Q∈[P1, P2], the data at the current processing node is normal. [P1, P2], the current divided area is the fault area and is marked.

[0082] There may be multiple input processing nodes, but there is only one processing node for measuring output during operation, and then the actual output value of the corresponding output processing node is calculated for comparison.

[0083] Among them, by extracting historical fault condition data and determining the analysis order of the divided areas according to the number of times the fault conditions occur, priority is given to areas where faults often occur, effectively reducing the positioning time, and then the divided areas are divided according to processing nodes, and the input and output values ​​of each processing node are combined to perform measurement and comparison operations to achieve the first fault positioning in a large area. After measurement and comparison, the data is compensated to improve the fault tolerance of the measurement, and the measurement of various processing nodes in the area is effectively realized to avoid omissions in the search of fault areas.

[0084] In the embodiment of the present invention, the calculation formula of the actual output value is:

[0085] ;

[0086] Among them, W n represents the weight threshold at the mth node, M n Indicates the input value of the nth input source.

[0087] In the embodiment of the present invention, the operation of data compensation in C3 is:

[0088] c31. After completing operations c21 to c24, use the current output processing node as the next input source, and then determine the weight threshold W corresponding to the next processing node. m Calculate the actual output value;

[0089] c32. The input value of the processing node currently outputted is calculated by using the actual output value Q and the output preset value interval [P1, P2] to obtain the compensation value q, and the calculation formula of the compensation value q is:

[0090] q = (P1 + P2) / 2 - Q;

[0091] And according to the compensation value q, the input value as the next input source is obtained based on the actual output value Q at the current output processing node plus the compensation value q.

[0092] Corresponding to the weight threshold W at each processing node m There are differences, which are determined based on the differences in electricity distribution.

[0093] In the embodiment of the present invention, the operation of the search algorithm in the fault location module is:

[0094] D1. Based on the determined fault range, input signals from the marked processing node to the output terminals of the previous order, and record the time of signal feedback as T;

[0095] D2. Determine whether the current line is a faulty line based on whether the output end receives the input signal. If the output end receives the input signal normally, it is a normal line. Otherwise, it is a faulty line if it fails to receive the input signal.

[0096] D3. Calculate the specific location of the fault point based on the determined fault line.

[0097] In the embodiment of the present invention, the calculation formula of the fault point position in D3 is:

[0098] L = (T × V) / 2;

[0099] L is the distance from the current signal input node to the fault point, T is the time from the input of the current signal input node to the time when the reflected signal is received by the signal input node, and V is the uniform transmission rate of the signal in the line.

[0100] Among them, based on the determined fault range, a signal is input from the marked processing node to the output terminals of the previous sequence, and whether the current line is a faulty line is confirmed according to whether the output terminal receives the input signal. If the output terminal fails to receive the input signal, it is a faulty line. On the basis of the first narrowing of the range, the secondary fault point positioning is realized, and the specific location of the corresponding fault point is obtained according to the detection data. Effective and fast fault positioning can enable the operation and maintenance personnel to arrive at the fault site in time and quickly repair the fault, thereby reducing the overall power outage time of the distribution network.

[0101] Embodiment 2 is different from Embodiment 1 in that: the present invention also discloses a distribution network fault management method for rapid positioning, which specifically includes the following steps:

[0102] S1. Use high-precision sensors deployed at each node of the distribution network to realize real-time collection of operating parameters of electrical equipment in the distribution network;

[0103] S2. Analyze the data, complete the measurement operation on the data to implement a primary fault location operation, determine the area where the fault data exists, and determine whether there are multiple fault data, and then implement secondary fault location based on the determined fault area to determine the location of the specific fault in the line;

[0104] S3. Based on the collected data and the result data obtained by analysis, the fault conditions in the historical data are extracted, and the result data is matched with the historical fault data, and corresponding fault repair plans or suggestions are generated, and the maintenance personnel are informed to handle them in a timely manner.

[0105] Embodiment 3 is different from Embodiment 1 and Embodiment 2 in that: the existing distribution network fault management system and the distribution network fault management system of the present invention are used to detect the set known fault distribution network area, and the known results are not brought into the detection operation of the system, which is used for the matching operation of the final detection result, and the time taken to complete the fault location during the detection process, as well as the number of faults found and the corresponding location area are recorded. The specific results are shown in Table 1:

[0106] Table 1 Calculation results

[0107]

[0108] To sum up, the operation of detecting through the distribution network fault management system of the present invention takes less time to complete the fault location, can completely search for the set fault, and the accuracy of the fault location position is almost the same. Therefore, the actual application of the distribution network fault management system of the present invention has a better operating effect.

[0109] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0110] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0111] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A distribution network fault management system with rapid positioning, characterized by: include: The data acquisition module is equipped with multiple high-precision sensors deployed in the distribution network to monitor and collect the electrical operation parameters of the distribution network in real time; The data analysis and processing module realizes the classification and processing of the collected data, establishes a fault management model, realizes the parallel analysis of each node data to locate the fault, and completes the screening operation of multiple fault ranges; The fault location module uses a search algorithm to process the scope of a fault and calculate the specific location where the fault occurs; The display and decision module intuitively displays the operating status and fault location results of the distribution network through the display interface, and provides corresponding fault repair solutions based on the fault location results and distribution network operating rules; The steps of performing a fault location in the data analysis and processing module are as follows: C1. Extract historical fault condition data and determine the analysis order of the divided areas according to the number of fault conditions; C2. Perform analysis operations on the divided areas in sequence, divide the divided areas according to the processing nodes, perform measurement and comparison operations based on the input value and output value of each processing node, and determine whether the divided area is a fault area; C3. After each measurement and comparison, the data is compensated and then the next measurement is performed until the processing nodes of the single-item division area complete the measurement; The specific operation of determining whether the divided area is a fault area in C2 is: c21. Determine the input source of the divided area, and then record the input value of the source and mark it as (M1+…+M n ), determine the processing node for subsequent transmission based on the input source of the divided area; c22. Set the weight threshold between the input source and the next processing node to W m , and the output preset value interval at the corresponding processing node is [P1, P2]; c23, according to the input value M n and the weight threshold W at the next processing node m The actual output value is calculated and marked as Q, and then the actual output value Q is compared with the output preset value interval; c24. When Q∈[P1, P2], the data at the currently measured processing node is normal. Otherwise, when Q∉[P1, P2], the currently divided area is a fault area and is marked.

2. A distribution network fault management system for rapid positioning according to claim 1, characterized in that: The data classification processing operation implemented in the data analysis and processing module is: A1. The distribution network is divided into regions according to the operation relationship of the distribution network, and data is classified based on the divided regions; A2. Set the equipment type in the divided area as the analysis node, set the parameter category corresponding to the equipment type as the classification node, and then fill the parameter into the parameter column where the analysis node and the classification node intersect; A3. Complete the extraction operation of the required data, and then remove the unextracted data to form the required data set.

3. A distribution network fault management system for rapid positioning according to claim 1, characterized in that: The operation of establishing the fault management model in the data analysis and processing module is: B1. Form a scaled fault management basic model according to the location information of various devices in the distribution network; B2. Combined with the distribution network topology, the operating parameters between devices are extracted and introduced into the fault management basic model to form a fault management model, so as to realize the association operation of devices between models; B3. Introduce the collected real-time data into the fault management model to perform data analysis operations to determine the location of the fault data.

4. A distribution network fault management system for rapid positioning according to claim 1, characterized in that: The calculation formula of the actual output value is: ； Among them, W m represents the weight threshold at the mth node, M n Indicates the input value of the nth input source.

5. A distribution network fault management system for rapid positioning according to claim 1, characterized in that: The operation of data compensation in C3 is: c31. After completing operations c21 to c24, use the current output processing node as the next input source, and then determine the weight threshold W corresponding to the next processing node. m Calculate the actual output value; c32. The input value of the processing node currently outputted is calculated by using the actual output value Q and the output preset value interval [P1, P2] to obtain the compensation value q, and the calculation formula of the compensation value q is: q = (P1 + P2) / 2 - Q; And according to the compensation value q, the input value as the next input source is obtained based on the actual output value Q at the current output processing node plus the compensation value q.

6. A distribution network fault management system for rapid positioning according to claim 1, characterized in that: The operation of the search algorithm in the fault location module is: D1. Based on the determined fault range, input signals from the marked processing node to the output terminals of the previous order, and record the time of signal feedback as T; D2. Determine whether the current line is a faulty line based on whether the output end receives the input signal. If the output end receives the input signal normally, it is a normal line. Otherwise, it is a faulty line if it fails to receive the input signal. D3. Calculate the specific location of the fault point based on the determined fault line.

7. A distribution network fault management system for rapid positioning according to claim 6, characterized in that: The calculation formula for the fault point position in D3 is: L = (T × V) / 2; L is the distance from the current signal input node to the fault point, T is the time from the input of the current signal input node to the time when the reflected signal is received by the signal input node, and V is the uniform transmission rate of the signal in the line.

8. A fast-locating distribution network fault management method, using a fast-locating distribution network fault management system as claimed in any one of claims 1 to 7, characterized in that: The specific steps include: S1. Use high-precision sensors deployed at each node of the distribution network to realize real-time collection of operating parameters of electrical equipment in the distribution network; S2. Analyze the data, complete the measurement operation on the data to implement a primary fault location operation, determine the area where the fault data exists, and determine whether there are multiple fault data, and then implement secondary fault location based on the determined fault area to determine the location of the specific fault in the line; S3. Based on the collected data and the result data obtained by analysis, the fault conditions in the historical data are extracted, and the result data is matched with the historical fault data, and corresponding fault repair plans or suggestions are generated, and the maintenance personnel are informed to handle them in a timely manner.

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