Statistical method and system for power grid dispatching fault information and electronic equipment

Abstract

The invention discloses a statistical method and system for power grid dispatching fault information and an electronic device, and relates to the technical field of electric digital data processing, and the method comprises the steps: receiving the power grid dispatching fault information through a power grid dispatching center; the power grid dispatching fault information comprises fault sites of a power grid and power grid operation and maintenance information of the fault sites of the power grid; thirdly, synchronously collecting and analyzing environment data of each fault site to obtain a fault comprehensive indication value of each fault site of the power grid; and according to the fault comprehensive indication value of each fault location of the power grid and the fault comprehensive indication value of each fault location of the power grid, fault levels of each fault location of the power grid are obtained through matching and summarized prompting is carried out. According to the method, the fault information and the environment data are effectively integrated, the fault level is accurately evaluated, and the priority ranking and response efficiency of fault processing are improved; resource configuration and maintenance strategies are optimized, the influence of faults on the stability of the power grid is reduced, rapid recovery and safe operation of the power grid are ensured, and the overall power supply reliability and service quality are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electronic digital data processing, and in particular relates to a statistical method, system and electronic equipment for power grid dispatching fault information. Background Art

[0002] As power grids continue to expand and become more complex, the types and frequency of faults occurring during grid operation are also increasing. Grid faults can be affected by a variety of factors, including equipment aging, external damage, and weather. Therefore, comprehensive collection and analysis of fault information can help identify common failure modes, optimize grid operation and maintenance strategies, and improve overall power supply reliability. The statistical summary process must consider the different characteristics of various fault types and utilize advanced data processing and analysis techniques to extract valuable information from massive fault records to support decision-making and the development of improvement measures.

[0003] The prior art proposes a method for quickly summarizing and counting fault information for power grid dispatching, comprising: obtaining original fault information through a monitoring terminal, the original fault information including fault line information and tripping information, extracting fault keywords from the tripping information, and adding segmentation symbols between the fault keywords as fault information indexes; obtaining a visitor's query request, retrieving a corresponding fault information index according to the query request, obtaining fault-related information matching the fault information index from the fault line information, and binding the fault-related information with the fault information index to form a fault report; generating a webpage Excel spreadsheet on the dispatching terminal based on HTML code, splitting the contents of the fault report according to the header of the webpage Excel spreadsheet and adding the contents to designated cells of the webpage Excel spreadsheet.

[0004] When processing fault information in current power grid dispatching, the work of collecting large amounts of fault information and analyzing the causes is relatively complicated. In this process, analysis errors are more likely to occur, and dispatchers spend a lot of time screening and judging fault information, which affects the efficiency of fault handling. Summary of the Invention

[0005] The purpose of the present invention is to address the technical defects of the existing power grid dispatching fault information processing, such as high complexity in collection and analysis and low efficiency in fault handling, and to provide a statistical method, system and electronic equipment for power grid dispatching fault information to effectively solve the problems involved in the above-mentioned background technology.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] As a first aspect of the present invention, a statistical method for power grid dispatching fault information is proposed, including a power grid dispatching center receiving power grid dispatching fault information, wherein the power grid dispatching fault information includes each power grid fault location and power grid operation and maintenance information of each power grid fault location.

[0008] Based on the grid operation and maintenance information of each fault location in the grid, fault analysis is performed on each fault location in the grid, and environmental data of each fault location in the grid are simultaneously collected and analyzed to obtain comprehensive fault indicator values ​​of each fault location in the grid.

[0009] The environmental data of each fault location in the power grid are analyzed. When implemented, the environmental impact characterization value of each fault location in the power grid is obtained through analysis. Effective implementation can comprehensively consider the potential impact of environmental factors on power grid faults, thereby providing a more comprehensive fault analysis perspective;

[0010] According to the comprehensive fault indicator values ​​of each fault location in the power grid, the fault level of each fault location in the power grid is matched and summarized and statistically analyzed according to the fault level of each fault location in the power grid;

[0011] The data statistics, when implemented, at least include mean, variance, trend analysis and regression prediction;

[0012] Therefore, the method first receives grid dispatch fault information from the grid dispatch center. Next, it synchronously collects and analyzes environmental data at the fault locations, determines the corresponding fault level for each fault location, and summarizes and statistically reports it. This method effectively integrates fault information and environmental data. Through accurate fault level assessment, it improves fault handling priority and response efficiency, ensuring rapid recovery and safe operation of the grid system. It also optimizes resource allocation and maintenance strategies, reduces the impact of faults on grid stability, and thus improves overall power supply reliability and service quality.

[0013] The data statistics, when specifically implemented, are carried out by performing detailed data statistics on each fault location, covering the grid operation and maintenance information of its affiliated operating area in each divided time period, thereby calculating the first impact characterization value and the second characterization value of the grid dispatching fault, which helps to subsequently accurately assess the severity of the fault impact, optimize the fault response and processing strategy, improve the stability and reliability of the grid operation, and ensure that the fault can be quickly and effectively isolated and repaired when a fault occurs, thereby ensuring the normal operation of the power grid system;

[0014] Furthermore, the grid operation and maintenance information of each fault location of the grid includes the duration of the fault at each fault location of the grid, the number of users in the operation area to which each fault location of the grid belongs, and the current value that triggers the tripping of the circuit breaker;

[0015] The grid operation and maintenance information helps to identify and assess the environmental conditions in which faults occur and develop, helps to analyze the causes of faults, optimize fault prevention and response strategies, and ultimately enhance the stability and reliability of the grid system under various environmental conditions;

[0016] Furthermore, the fault analysis is performed on each fault location in the power grid, and the specific analysis process is: obtaining the divided time period corresponding to the fault moment of each fault location in the power grid, recorded as the fault time period, and thereby counting the electrical data of each fault location in the power grid during the fault time period, the electrical data including the average operating load of the power grid, the average voltage of the power grid line and the average frequency deviation value of the alternating current, and the first impact characterization value of the power grid dispatching fault at each fault location in the power grid is obtained after processing, and the first impact characterization value of the power grid dispatching fault at each fault location in the power grid is used to quantify the degree of impact on the power grid operation when the fault occurs.

[0017] Obtain the current-time curve of each fault location in the power grid during the fault period, extract the starting time point and the ending time point when the current at each fault location exceeds the set abnormal current value from the current-time curve of each fault location in the power grid, perform difference processing on the ending time point and the starting time point when the current at each fault location in the power grid exceeds the set abnormal current value, and obtain the duration that the current at each fault location in the power grid exceeds the set abnormal current value, which is recorded as the current abnormality duration of each fault location in the power grid.

[0018] The fault duration and current anomaly duration of each fault location in the power grid are extracted, and the number of users in the operating area to which each fault location belongs and the current value that triggers the tripping of the circuit breaker are counted. After processing, the second characterization value of the power grid dispatching fault at each fault location in the power grid is obtained. The second characterization value of the power grid dispatching fault at each fault location in the power grid is used to quantify the specific impact characteristics and severity of the fault.

[0019] Furthermore, the environmental data of each fault location in the power grid are analyzed, and the specific analysis process is: based on the environmental data of each fault location in the power grid, the environmental data include the maximum temperature of the area to which each fault location in the power grid belongs during the fault period, the wind speed of the area to which each fault location belongs, and the lightning density of the area to which each fault location belongs. After processing, the environmental impact characterization value of each fault location in the power grid is obtained, and the environmental impact characterization value of each fault location in the power grid is used to quantify the degree of influence of environmental factors on the occurrence of power grid faults.

[0020] Furthermore, the comprehensive fault indicator value of each fault location in the power grid is obtained, and the specific process is: extracting the first characterization value of the power grid dispatching fault at each fault location in the power grid, the second characterization value of the power grid dispatching fault at each fault location in the power grid, and the environmental impact characterization value of each fault location in the power grid, and integrating them to obtain the comprehensive fault indicator value of each fault location in the power grid. The comprehensive fault indicator value of each fault location in the power grid is used to quantify the overall fault severity of each fault location in the power grid.

[0021] Furthermore, the matching obtains the fault level of each fault location in the power grid, and summarizes and prompts the fault levels of each fault location in the power grid. The specific process is: according to the fault comprehensive indicator value of each fault location in the power grid, and matching the fault level corresponding to the set fault comprehensive indicator value interval of each fault location in the power grid, the fault level of each fault location in the power grid is obtained, and the fault levels of each fault location in the power grid are sorted and displayed through the power grid management PC.

[0022] In specific implementation, by obtaining the comprehensive fault indicator value of each fault location in the power grid, determining the fault level of each fault location, and sorting these levels, the system can effectively convert complex fault data into easy-to-understand fault levels, providing dispatchers with a clear fault severity ranking, helping to quickly locate and prioritize critical faults, thereby improving the efficiency of power grid fault response and repair, and enhancing the operational stability and reliability of the power grid.

[0023] Furthermore, the environmental impact characterization value of each fault location in the power grid is specifically analyzed under the following conditions:

[0024]

[0025] Where H j represents the environmental impact characterization value of the jth fault location in the power grid, C j represents the maximum temperature of the region where the jth fault location belongs, S j Denotes the wind speed of the region where the jth fault location belongs, D j represents the lightning density of the region to which the j-th fault location belongs in the power grid, ΔC represents the set reference temperature, ΔS represents the set reference wind speed, ΔD represents the set limit lightning density, σ1 represents the correction factor corresponding to the set temperature, σ2 represents the correction factor corresponding to the set wind speed, σ3 represents the correction factor corresponding to the set lightning density, j represents the number of each fault location in the power grid, j = 1, 2, 3, ..., n, where n represents the total number of fault locations.

[0026] Furthermore, the comprehensive fault indicator value of each fault location in the power grid is specifically analyzed under the following conditions:

[0027]

[0028] Where, ω j represents the comprehensive fault indicator value of the j-th fault location in the power grid, represents the first impact characterization value of the grid dispatching fault at the jth fault location in the grid, The second characterization value of the grid dispatch fault at the jth fault location, H j represents the environmental impact characterization value of the j-th fault location in the power grid, τ1 represents the weight factor corresponding to the set first impact characterization value of the power grid dispatching fault, τ2 represents the weight factor corresponding to the set second impact characterization value of the power grid dispatching fault, and τ3 represents the weight factor corresponding to the set environmental impact characterization value.

[0029] In specific implementation, by obtaining the comprehensive fault indicator value of each fault location in the power grid, determining the fault level of each fault location, and sorting these levels, the system can effectively convert complex fault data into easy-to-understand fault levels, providing dispatchers with a clear fault severity ranking, helping to quickly locate and prioritize critical faults, thereby improving the efficiency of power grid fault response and repair, and enhancing the operational stability and reliability of the power grid.

[0030] As a second aspect of the present invention, a power grid dispatching fault information summary and statistics system is also provided, including: a power grid dispatching fault information receiving module, which is used for the power grid dispatching center to receive power grid dispatching fault information, and the power grid dispatching fault information includes each power grid fault location and power grid operation and maintenance information of each power grid fault location.

[0031] The power grid dispatching fault information analysis module is used to perform fault analysis on each power grid fault location based on the power grid operation and maintenance information of each power grid fault location, synchronously collect environmental data of each power grid fault location, and analyze the environmental data of each power grid fault location to obtain the comprehensive fault indicator value of each power grid fault location.

[0032] The power grid dispatching fault information summary prompt module is used to match the fault level of each fault location in the power grid according to the comprehensive fault indicator value of each fault location in the power grid, and summarize and prompt according to the fault level of each fault location in the power grid.

[0033] As a third aspect of the present invention, an electronic device for a statistical method of power grid dispatch fault information is also provided, the device including a processor, and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; the processor retrieves a computer program from the non-volatile memory through the network interface during operation, and runs the computer program through the memory to execute any of the methods described above.

[0034] Beneficial effects:

[0035] The statistical method, system, and electronic device for grid dispatching fault information proposed in the present invention have the following beneficial effects compared with the prior art:

[0036] 1. The present invention provides a statistical method, system, and electronic device for grid dispatch fault information. The method first receives grid dispatch fault information through a dispatch center. Next, environmental data at the fault locations is synchronously collected and analyzed, and the corresponding fault level for each fault location is determined, summarized, and statistically presented. The method effectively integrates fault information and environmental data. Through accurate fault level assessment, it improves fault handling priority and response efficiency, ensuring rapid recovery and safe operation of the grid system. Furthermore, it optimizes resource allocation and maintenance strategies, reduces the impact of faults on grid stability, and thus improves overall power supply reliability and service quality.

[0037] 2. This invention collects detailed data statistics for each fault location, covering the grid operation and maintenance information of its affiliated operating area in each segmented time period, thereby calculating the first impact characterization value and the second characterization value of the grid dispatching fault. This helps to accurately assess the severity of the fault impact, optimize fault response and processing strategies, improve the stability and reliability of grid operation, and ensure that faults can be quickly and effectively isolated and repaired when they occur, thereby ensuring the normal operation of the power grid system.

[0038] 3. This invention extracts environmental data from each grid fault location to derive an environmental impact characterization value for each grid fault location. This effectively considers the potential impact of environmental factors on grid faults, thereby providing a more comprehensive perspective on fault analysis.

[0039] It helps to identify and evaluate the role of environmental conditions in the occurrence and development of faults, improve the understanding of fault causes, optimize fault prevention and response strategies, and ultimately enhance the stability and reliability of the power grid system under various environmental conditions;

[0040] 4. This invention obtains comprehensive fault indicator values ​​for each fault location in the power grid, determines the fault level for each location, sorts these levels, and displays them on a PC. This effectively converts complex fault data into easily understandable fault levels, providing dispatchers with a clear fault severity ranking. This helps quickly locate and prioritize critical faults, thereby improving the efficiency of power grid fault response and repair, and enhancing the operational stability and reliability of the power grid.

[0041] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flow chart of a statistical method for power grid dispatching fault information proposed by the present invention;

[0043] Figure 2 is the comprehensive fault indicator value curve of each fault location in the power grid;

[0044] Figure 3 This is a schematic diagram of the overall modules of a statistical system for power grid dispatching fault information and electronic equipment proposed by the present invention. DETAILED DESCRIPTION

[0045] 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. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0046] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0047] Example 1

[0048] The present invention discloses a statistical method, system and electronic equipment for power grid dispatch fault information, which relates to the field of electrical digital data processing technology. First, power grid dispatch fault information is received through a power grid dispatch center; the power grid dispatch fault information includes each power grid fault location and power grid operation and maintenance information of each power grid fault location; then, environmental data of each fault location is synchronously collected and analyzed to obtain comprehensive fault indicator values ​​of each power grid fault location; according to the comprehensive fault indicator values ​​of each power grid fault location, the fault level of each power grid fault location is matched and summarized and statistically analyzed. The statistics, when specifically implemented, at least include mean, variance, trend analysis and regression prediction; the present application effectively integrates fault information and environmental data, accurately evaluates fault level, improves fault handling priority sorting and response efficiency; and also optimizes resource allocation and maintenance strategies, reduces the impact of faults on power grid stability, ensures rapid recovery and safe operation of the power grid, and improves overall power supply reliability and service quality.

[0049] See also Figure 1As shown, an embodiment of the present invention provides a statistical method, system and electronic equipment technical solution for power grid dispatching fault information: a statistical method for power grid dispatching fault information, including a power grid dispatching center receiving power grid dispatching fault information, the power grid dispatching fault information including each power grid fault location and power grid operation and maintenance information of each power grid fault location.

[0050] It should be noted that the specific process of locking the fault locations of the power grid based on the power grid dispatch fault information is as follows: using the geographic information system (GIS) to spatially locate the fault information, mapping the fault data to the geographic topology map of the power grid, and determining the location of the fault based on the device ID and geographic coordinates reported by the fault.

[0051] Based on the grid operation and maintenance information of each fault location in the grid, fault analysis is performed on each fault location in the grid, environmental data of each fault location in the grid is simultaneously collected, and the environmental data of each fault location in the grid is analyzed to obtain the comprehensive fault indicator value of each fault location in the grid.

[0052] According to the comprehensive fault indicator value of each fault location in the power grid, the fault level of each fault location in the power grid is matched and obtained, and a summary prompt is given according to the fault level of each fault location in the power grid.

[0053] Specifically, the grid operation and maintenance information of each fault location in the grid includes the duration of the fault at each fault location in the grid, the number of users in the operating area to which each fault location belongs, and the current value that triggers the circuit breaker to trip.

[0054] Specifically, a fault analysis is performed on each fault location in the power grid. The specific analysis process is: obtaining the divided time period corresponding to the fault moment of each fault location in the power grid, recorded as the fault time period, and thereby counting the electrical data of each fault location in the power grid during the fault time period. The electrical data include the average operating load of the power grid, the average voltage of the power grid line, and the average frequency deviation value of the alternating current. After processing, the first impact characterization value of the power grid dispatching fault at each fault location in the power grid is obtained. The first impact characterization value of the power grid dispatching fault at each fault location in the power grid is used to quantify the degree of impact on the power grid operation when the fault occurs.

[0055] It should be noted that the specific steps for collecting electrical data from each fault location in the power grid during the fault period are as follows: the dispatch center must determine the specific time period during which the fault occurred, i.e., the fault period. Then, detailed electrical data from each fault location during that period is extracted from the power grid monitoring system. This data includes, but is not limited to, the average operating load, average voltage, and average AC frequency deviation of the power grid. This data is then organized and categorized.

[0056] It's important to note that the average frequency deviation of AC power refers to the average difference between the AC power frequency and the standard frequency (usually 50Hz or 60Hz) over a specific time period. Specifically, this is a statistical result of the deviation between the actual measured frequency data and the standard frequency, reflecting a key indicator of grid frequency stability. Excessive frequency deviation can adversely affect grid system stability and the normal operation of equipment.

[0057] It is also important to obtain a current-time curve for each fault location in the power grid during the fault period. First, determine the specific fault period for each fault location, namely the start and end times of the fault. Then, extract the current data for this period from the power grid monitoring system or fault recording device. The horizontal axis of the current-time curve typically represents time, while the vertical axis represents the current value, showing the entire process from the start to the end of the fault. The current value on the vertical axis represents the actual current magnitude at each time point. This can intuitively reflect the change in current over time and help identify the start and end points of the current anomaly.

[0058] It should be noted that the first impact characterization value of the power grid dispatching fault at each fault location in the power grid is analyzed under the following specific conditions:

[0059]

[0060] Where, F represents the first impact characterization value of the grid dispatch fault at the jth fault location in the grid, j represents the average operating load of the jth fault location in the power grid, V j P represents the average voltage of the grid line at the jth fault location, j represents the average frequency deviation of the AC power at the jth fault location in the power grid, ΔF represents the set reference operating load, ΔV represents the set reference grid line average voltage, ΔP represents the defined frequency deviation of the AC power at the jth fault location in the power grid, θ1 represents the correction factor corresponding to the set operating load, θ2 represents the correction factor corresponding to the set voltage, θ3 represents the correction factor corresponding to the set average frequency deviation of the AC power, j represents the number of each fault location in the power grid, and j represents the number of each fault location in the power grid.

[0061] =1,2,3,...,n, n represents the total number of fault locations, and e represents a natural constant.

[0062] In a specific embodiment, the correction factor corresponding to the operating load ranges from 0 to 1. The correction factor corresponding to the operating load is extracted from a database. By using the relationship between the grid load and the first impact characterization value of the grid dispatch fault in historical data, a set of correction factor mappings for comprehensively evaluating the grid load under different operating conditions and the grid load can be constructed. The average operating load at the fault location is input, and the correction factor corresponding to the operating load is obtained from the mapping set.

[0063] In a specific embodiment, the voltage correction factor ranges from 0 to 1. The correction factor corresponding to the grid voltage is extracted from a database. By using the relationship between historical voltage data and the first impact characterization value of a grid dispatch fault, a comprehensive evaluation of the grid voltage under different operating conditions and a set of grid voltage correction factor mappings can be constructed. The average voltage data of the grid line at the fault location is input, and the correction factor corresponding to the voltage is obtained from the mapping set.

[0064] In a specific embodiment, the correction factor of the average frequency deviation value of the alternating current (AC) ranges from 0 to 1. The correction factor corresponding to the average frequency deviation value of the AC is extracted from a database. By using the relationship between the AC frequency deviation data in historical data and the first impact characterization value of the power grid dispatching fault, a comprehensive evaluation of the average frequency deviation value of the AC under different operating conditions and a correction factor mapping set for the average frequency deviation value of the AC are constructed. The frequency deviation data of the AC at the fault location is input, and the correction factor corresponding to the frequency deviation value of the AC is obtained from the mapping set.

[0065] In a specific embodiment, the three parameters of the average operating load at the fault location, the average voltage of the power grid at the fault location, and the average frequency deviation of the AC power at the fault location do not exist independently. For example, the average operating load at the fault location directly reflects the power demand and power usage at that location. A higher operating load is often accompanied by a greater power demand, which may cause voltage drops or fluctuations.

[0066] It's important to note that the average grid line voltage at the fault location reflects the grid's voltage stability under specific operating loads. This is affected by the operating load. If the operating load is too high and the grid fails to regulate effectively, the voltage may drop significantly. Finally, the average AC frequency deviation at the fault location reflects the frequency stability under specific grid conditions and is affected by both the operating load and voltage. AC frequency deviation is often caused by transient imbalances between generation and load. When the load suddenly increases or decreases, the AC frequency fluctuates, causing the average AC frequency deviation to change accordingly. Therefore, these three parameters work together to determine the grid's operating status at the fault location and the scope of the fault. Accurately assessing the average operating load, average grid line voltage, and average AC frequency deviation at the fault location provides a comprehensive understanding of power usage and grid stability at that location, enabling optimized dispatching plans, improved power system reliability, and minimized fault impacts.

[0067] Obtain the current-time curve of each fault location in the power grid during the fault period, extract the starting time point and the ending time point when the current at each fault location exceeds the set abnormal current value from the current-time curve of each fault location in the power grid, perform difference processing on the ending time point and the starting time point when the current at each fault location in the power grid exceeds the set abnormal current value, and obtain the duration that the current at each fault location in the power grid exceeds the set abnormal current value, which is recorded as the current abnormality duration of each fault location in the power grid.

[0068] The fault duration and current anomaly duration of each fault location in the power grid are extracted, and the number of users in the operating area to which each fault location belongs and the current value that triggers the tripping of the circuit breaker are counted. After processing, the second characterization value of the power grid dispatching fault at each fault location in the power grid is obtained. The second characterization value of the power grid dispatching fault at each fault location in the power grid is used to quantify the specific impact characteristics and severity of the fault.

[0069] It should be noted that the specific analysis conditions for the second characterization value of the power grid dispatching fault at each fault location are:

[0070]

[0071] Where, The second characterization value of the grid dispatch fault at the jth fault location, T1 j represents the duration of the fault period at the jth fault location, T2 j S represents the abnormal current duration at the jth fault location. j represents the number of users in the operating area of ​​the jth fault location, I jrepresents the current value that triggers the tripping of the circuit breaker at the j-th fault location, ΔI represents the reference current value that triggers the tripping of the circuit breaker, μ1 represents the impact factor corresponding to the set unit fault duration, μ2 represents the impact factor corresponding to the set unit duration of abnormal current, μ3 represents the impact factor corresponding to the set unit number of users, μ4 represents the correction factor corresponding to the set current value that triggers the tripping of the circuit breaker, e represents a natural constant, j represents the number of each fault location in the power grid, j = 1, 2, 3, ..., n, where n represents the total number of fault locations.

[0072] In a specific embodiment, the impact factor corresponding to a unit fault duration ranges from 0 to 1. The impact factor corresponding to a unit fault duration is extracted from a database. By using the relationship between fault duration data, fault handling efficiency data, and the second characteristic value of the power grid dispatch fault in historical data, a mapping set of impact factors for comprehensively evaluating fault duration and unit fault duration under different fault conditions can be constructed. The fault duration data of the operating area to which the fault location belongs is input, and the corresponding unit fault duration impact factor is obtained from the mapping set.

[0073] In a specific embodiment, the impact factor corresponding to the abnormal current unit duration ranges from 0 to 1. The impact factor corresponding to the abnormal current unit duration is extracted from a database. By using the relationship between the abnormal current duration data, current fluctuation data, and the second characteristic value of the grid dispatch fault in the historical data, a mapping set of impact factors for comprehensively evaluating the abnormal current unit duration under different grid operating conditions and the abnormal current unit duration is constructed. The abnormal current duration data of the operating area to which the fault location belongs is input, and the corresponding abnormal current unit duration impact factor is obtained from the mapping set.

[0074] In a specific embodiment, the impact factor corresponding to the number of users per unit ranges from 0 to 1. The impact factor corresponding to the number of users per unit is extracted from a database. By using the relationship between the number of users in historical data, grid load data, and the second representative value of the grid dispatch fault, a mapping set of impact factors for comprehensively evaluating the number of users and the number of users per unit under different load conditions can be constructed. The number of users in the operating area to which the fault location belongs is input, and the corresponding impact factor per unit of users is obtained from the mapping set.

[0075] In a specific embodiment, the correction factor corresponding to the current value that triggers a circuit breaker trip ranges from 0 to 1. The correction factor corresponding to the current value that triggers a circuit breaker trip is extracted from a database. By analyzing the relationship between the circuit breaker trip current value data, grid equipment protection setting data, and the second representative value of the grid dispatch fault in historical data, a correction factor mapping set can be constructed to comprehensively evaluate different circuit breaker trip current values ​​and circuit breaker trip current values ​​under grid protection conditions. The circuit breaker trip current value data for the operating area belonging to the fault location is input, and the corresponding circuit breaker trip current correction factor is obtained from the mapping set.

[0076] In a specific embodiment, the four parameters of the fault period at the fault location, the duration of the current anomaly at the fault location, the number of users in the operating area to which the fault location belongs, and the current value that triggers the circuit breaker tripping at the fault location do not exist independently. For example, the duration of the fault period directly reflects the efficiency of the power grid recovery at that location. A longer fault duration may cause users to have a long power outage, thus affecting their normal life and work. The duration of the current anomaly at the fault location reflects the severity of the fault and the stability of the power grid. A longer anomaly duration may cause equipment damage and power grid instability. At the same time, the duration of the current anomaly also affects the number and timing of circuit breaker tripping, further affecting the efficiency of fault handling. The number of users in the operating area to which the fault location belongs reflects the power demand and importance of the area. The more users there are, the greater the social and economic impact of the fault. Therefore, in areas with a large number of users, rapid fault recovery and handling are particularly important. Therefore, the combined effect of these four parameters determines the operating status of the power grid at the fault location and the scope of the fault impact. By accurately assessing the duration of the fault period, the duration of the current anomaly, the number of users, and the circuit breaker tripping current value, we can fully understand the grid fault situation and recovery capabilities at that location, thereby optimizing the grid dispatch plan, improving the stability and reliability of the grid, and reducing the impact of the fault on users.

[0077] In a specific embodiment, the current value at the fault location that triggers the circuit breaker to trip reflects the setting and sensitivity of the grid protection system. When the current value exceeds the set value, the circuit breaker will trip to protect the grid equipment.

[0078] Specifically, environmental data of each fault location in the power grid is analyzed. The specific analysis process is as follows: based on the environmental data of each fault location in the power grid, the environmental data includes the maximum temperature of the area to which each fault location in the power grid belongs during the fault period, the wind speed of the area to which each fault location belongs, and the lightning density of the area to which each fault location belongs. After processing, an environmental impact characterization value of each fault location in the power grid is obtained. The environmental impact characterization value of each fault location in the power grid is used to quantify the degree of influence of environmental factors on the occurrence of power grid faults.

[0079] Specifically, a comprehensive fault indicator value of each fault location in the power grid is obtained. The specific process is: extracting the first characterization value of the power grid dispatching fault at each fault location in the power grid, the second characterization value of the power grid dispatching fault at each fault location in the power grid, and the environmental impact characterization value of each fault location in the power grid, and integrating them to obtain the comprehensive fault indicator value of each fault location in the power grid. The comprehensive fault indicator value of each fault location in the power grid is used to quantify the overall fault severity of each fault location in the power grid.

[0080] Specifically, the fault levels of each fault location in the power grid are matched and summarized and prompted according to the fault levels of each fault location in the power grid. The specific process is: according to the fault comprehensive indicator value of each fault location in the power grid, and the fault level corresponding to the set fault comprehensive indicator value range of each fault location in the power grid is matched to obtain the fault level of each fault location in the power grid, and the fault levels of each fault location in the power grid are sorted and displayed through the power grid management PC.

[0081] It's important to note that the grid management PC refers to the computer interface used within a grid management system to monitor, control, and manage grid operations. This interface typically includes multiple functions and modules for real-time monitoring of grid status, fault analysis, and dispatching grid resources.

[0082] Specifically, the environmental impact characterization value of each fault location in the power grid is analyzed under the following conditions:

[0083]

[0084] Where H j represents the environmental impact characterization value of the jth fault location in the power grid, C j represents the maximum temperature of the region where the jth fault location belongs, S j Denotes the wind speed of the region where the jth fault location belongs, D j represents the lightning density of the region to which the j-th fault location belongs in the power grid, ΔC represents the set reference temperature, ΔS represents the set reference wind speed, ΔD represents the set limit lightning density, σ1 represents the correction factor corresponding to the set temperature, σ2 represents the correction factor corresponding to the set wind speed, σ3 represents the correction factor corresponding to the set lightning density, j represents the number of each fault location in the power grid, j = 1, 2, 3, ..., n, where n represents the total number of fault locations.

[0085] In a specific embodiment, the temperature correction factor ranges from 0 to 1. The temperature correction factor is extracted from a database. By analyzing the relationship between historical maximum temperature data, the maximum temperature tolerance data of power grid equipment, and the environmental impact characterization value of the fault location, a correction factor mapping set is constructed to comprehensively evaluate the operation of power grid equipment under different temperature conditions. The maximum temperature data of the operating area to which the fault location belongs is input, and the corresponding maximum temperature correction factor is obtained from the mapping set.

[0086] In a specific embodiment, the correction factor corresponding to wind speed ranges from 0 to 1. The correction factor is extracted from a database. Historical wind speed data, wind resistance data for power grid equipment, and expert evaluations can be used to construct a correction factor mapping set that comprehensively evaluates the operation of power grid equipment under different wind speed conditions. Wind speed data for the operating area of ​​the fault location is input, and the corresponding wind speed correction factor is obtained from the mapping set.

[0087] In a specific embodiment, the correction factor corresponding to lightning density ranges from 0 to 1. The correction factor is extracted from a database. By analyzing the relationship between historical lightning density data, lightning protection measures for power grid equipment, and environmental impact indicators at the fault location, a correction factor mapping set is constructed to comprehensively evaluate lightning density and the operational status of power grid equipment under different lightning density conditions. The lightning density data for the operating area to which the fault location belongs is input, and the corresponding lightning density correction factor is obtained from the mapping set.

[0088] In a specific embodiment, the three parameters of maximum temperature, wind speed, and lightning density do not exist independently. For example, the three parameters of maximum temperature, wind speed, and lightning density do not exist independently. For example, changes in maximum temperature directly affect the operating efficiency and lifespan of power grid equipment. A higher maximum temperature may cause equipment overheating and increase the risk of failure. Lightning density reflects the frequency of lightning activity at the fault location. Lightning activity is not only affected by maximum temperature and wind speed, but may also directly cause damage to power grid equipment. The combined effect of the three parameters of maximum temperature, wind speed, and lightning density determines the overall safety and stability of the power grid operating environment. By accurately evaluating the maximum temperature, wind speed, and lightning density, we can fully understand the risk factors of the power grid operating environment, thereby optimizing the design and maintenance plan of the power grid, improving the operational reliability of the power grid, and reducing the occurrence rate of failures and maintenance costs.

[0089] Specifically, the comprehensive fault indicator value of each fault location in the power grid is analyzed under the following conditions:

[0090]

[0091] Where, ωj represents the comprehensive indicator value of the power grid fault at the jth fault location, represents the first impact characterization value of the grid dispatching fault at the jth fault location in the grid, The second characterization value of the grid dispatch fault at the jth fault location, H j represents the environmental impact characterization value of the j-th fault location in the power grid, τ1 represents the weight factor corresponding to the set first impact characterization value of the power grid dispatching fault, τ2 represents the weight factor corresponding to the set second impact characterization value of the power grid dispatching fault, and τ3 represents the weight factor corresponding to the set environmental impact characterization value.

[0092] In a specific embodiment, the weight factor corresponding to the first impact characterization value of the power grid dispatching fault, the weight factor corresponding to the second impact characterization value of the power grid dispatching fault, and the weight factor corresponding to the environmental impact characterization value are extracted from a database, and the value range of the weight factor corresponding to the first impact characterization value of the power grid dispatching fault, the weight factor corresponding to the second impact characterization value of the power grid dispatching fault, and the weight factor corresponding to the environmental impact characterization value are all between 0 and 1. Through historical data, the relationship between the first impact characterization value of the power grid dispatching fault at the fault location, the second impact characterization value of the power grid dispatching fault at the fault location, the environmental impact characterization value of the fault location, and the comprehensive indicator value of the power grid fault is fitted to obtain a fitting curve. According to the fitting curve, the weight factor corresponding to the first impact characterization value of the power grid dispatching fault, the weight factor corresponding to the second impact characterization value of the power grid dispatching fault, and the weight factor corresponding to the environmental impact characterization value are determined.

[0093] It should be noted that if Figure 2 As shown, Figure 2is the fault comprehensive indicator value curve of each fault location of the power grid, specifically the power grid fault comprehensive indicator value of a certain fault location, which represents the power grid fault comprehensive indicator value curve of the fault location corresponding to the environmental impact characterization values ​​of different power grid fault locations, wherein the x-axis represents the power grid dispatching fault first impact characterization value of the fault location, and the y-axis represents the power grid fault comprehensive indicator value of the fault location. Three different sets of example parameters are defined in the figure, corresponding to different situations of the three curves, represented by solid lines, dashed lines and dotted lines respectively, and the corresponding curve labels are a, b, and c respectively. When the environmental impact characterization value of the fault location is 1.0, the schematic diagram of the relationship between the power grid dispatching fault first impact characterization value of the fault location and the power grid fault comprehensive indicator value of the location is shown in curve a. When the environmental impact characterization value of the fault location is 2.0, the schematic diagram of the relationship between the power grid dispatching fault first impact characterization value of the fault location and the power grid fault comprehensive indicator value of the location is shown in curve b. When the environmental impact characterization value of the fault location is 3.0, the schematic diagram of the relationship between the power grid dispatching fault first impact characterization value of the fault location and the power grid fault comprehensive indicator value of the location is shown in curve c. And as the first impact characterization value of the power grid dispatching fault at the fault location increases, the overall height of the power grid fault comprehensive indicator value at the fault location will increase accordingly, which reflects the impact of the change in the first impact characterization value of the power grid dispatching fault at the fault location on the power grid fault comprehensive indicator value at the fault location.

[0094] As shown in Table 1, Table 1 is example data of the comprehensive indicator value of a power grid fault at a certain fault location, which lists the first impact characterization value of the power grid dispatching fault at a certain fault location, the second impact characterization value of the power grid dispatching fault at a certain fault location, and the comprehensive indicator value of the power grid fault at a certain fault location.

[0095] Table 1 Example data of comprehensive indicator values ​​of power grid fault at a certain fault location

[0096]

[0097] As shown in Table 1, in a specific embodiment, the weight factor corresponding to the first impact characterization value of the power grid dispatching fault is 0.5, the weight factor corresponding to the second impact characterization value of the power grid dispatching fault is 0.3, and the second impact characterization value of the power grid dispatching fault is 5. The weight factors corresponding to the environmental impact characterization values ​​of the fault locations corresponding to the three curves a, b, and c correspond to the weight factors corresponding to the environmental impact characterization values ​​of the fault locations in each row of the table, which are 0.2, 0.3, and 0.4, respectively. For example, when the first impact characterization value of the power grid dispatching fault at the fault location is 2, the environmental impact characterization value of the fault location is 1, the weight factor corresponding to the environmental impact characterization value of the fault location is 0.2, and the environmental impact characterization value of the fault location is 1.0, then the result of the comprehensive power grid fault indicator value of the fault location is 1.308 as shown in the first row of the above table. The comprehensive indicator value of the power grid fault at a certain fault location is jointly determined by the first impact characterization value of the power grid dispatching fault at a certain fault location, the second impact characterization value of the power grid dispatching fault at a certain fault location, and the comprehensive indicator value of the power grid fault at a certain fault location. As the first impact characterization value of the power grid dispatching fault at the fault location increases, the overall height of the comprehensive indicator value of the power grid fault at the fault location will increase accordingly.

[0098] like Figure 3 As shown, the second aspect of the present invention also provides a power grid dispatching fault information summary and statistics system, including: a power grid dispatching fault information receiving module, which is used for the power grid dispatching center to receive power grid dispatching fault information, and the power grid dispatching fault information includes each power grid fault location and power grid operation and maintenance information of each power grid fault location.

[0099] The power grid dispatching fault information analysis module is used to perform fault analysis on each power grid fault location based on the power grid operation and maintenance information of each power grid fault location, synchronously collect environmental data of each power grid fault location, and analyze the environmental data of each power grid fault location to obtain the comprehensive fault indicator value of each power grid fault location.

[0100] The power grid dispatching fault information summary prompt module is used to match the fault level of each fault location in the power grid according to the comprehensive fault indicator value of each fault location in the power grid, and summarize and prompt according to the fault level of each fault location in the power grid.

[0101] It should be noted that the power grid dispatching fault information summary statistics system also includes a database for storing reference operating load, reference average voltage, defined frequency deviation value of alternating current at each fault location in the power grid, correction factor corresponding to operating load, correction factor corresponding to voltage, correction factor corresponding to average frequency deviation value of alternating current, reference current value for triggering circuit breaker tripping, impact factor corresponding to unit fault duration, impact factor corresponding to unit duration of abnormal current, impact factor corresponding to unit number of users, correction factor corresponding to current value for triggering circuit breaker tripping, fault level corresponding to each interval of comprehensive power grid fault indicator value at each fault location, weight factor corresponding to first impact characterization value of power grid dispatching fault, weight factor corresponding to second impact characterization value of power grid dispatching fault, weight factor corresponding to environmental impact characterization value, reference temperature, reference wind speed, defined lightning density, correction factor corresponding to temperature, correction factor corresponding to wind speed, and correction factor corresponding to lightning density.

[0102] The third aspect of the present invention also provides an electronic device for a statistical method of power grid dispatching fault information, the device including a processor, and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; the processor retrieves a computer program from the non-volatile memory through the network interface during operation, and runs the computer program through the memory to execute any of the methods described above.

[0103] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0104] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A statistical method for power grid dispatching fault information, characterized in that: include: The power grid dispatching center receives power grid dispatching fault information, wherein the power grid dispatching fault information includes each power grid fault location and power grid operation and maintenance information of each power grid fault location; Based on the grid operation and maintenance information of each fault location in the grid, fault analysis is performed on each fault location in the grid, and environmental data of each fault location in the grid is simultaneously collected and analyzed to obtain comprehensive fault indicator values ​​of each fault location in the grid; According to the comprehensive fault indicator value of each fault location in the power grid, the fault level of each fault location in the power grid is matched and obtained, and a summary prompt is given according to the fault level of each fault location in the power grid.

2. The statistical method for power grid dispatching fault information according to claim 1, characterized in that: The grid operation and maintenance information of each fault location in the grid includes the duration of the fault at each fault location in the grid, the number of users in the operation area to which each fault location belongs, and the current value that triggers the circuit breaker to trip.

3. The statistical method for power grid dispatching fault information according to claim 2, characterized in that: The specific analysis process of performing fault analysis on each fault location of the power grid is as follows: Obtaining the segmented time period corresponding to the fault moment at each fault location in the power grid, recorded as the fault period, and thereby collecting statistical data on electrical data at each fault location in the power grid during the fault period, the electrical data including the average operating load of the power grid, the average voltage of the power grid lines, and the average frequency deviation value of the alternating current. After processing, a first impact characterization value of the power grid dispatching fault at each fault location in the power grid is obtained. The first impact characterization value of the power grid dispatching fault at each fault location in the power grid is used to quantify the degree of impact on power grid operation when the fault occurs; Obtaining a current-time curve for each fault location in the power grid during the fault period, extracting the starting time point and the ending time point when the current at each fault location exceeds a set abnormal current value from the current-time curve for each fault location, performing difference processing on the ending time point and the starting time point when the current at each fault location exceeds the set abnormal current value, and obtaining the duration of the current at each fault location exceeding the set abnormal current value, which is recorded as the abnormal current duration at each fault location; The fault duration and current anomaly duration of each fault location in the power grid are extracted, and the number of users in the operating area to which each fault location belongs and the current value that triggers the tripping of the circuit breaker are counted. After processing, the second characterization value of the power grid dispatching fault at each fault location in the power grid is obtained. The second characterization value of the power grid dispatching fault at each fault location in the power grid is used to quantify the specific impact characteristics and severity of the fault.

4. The statistical method for power grid dispatching fault information according to claim 3, characterized in that: The environmental data of each fault location in the power grid are analyzed, and the specific analysis process is as follows: Based on environmental data of each fault location in the power grid, the environmental data includes the maximum temperature of the area to which each fault location belongs during the fault period, the wind speed of the area to which each fault location belongs, and the lightning density of the area to which each fault location belongs. After processing, an environmental impact characterization value of each fault location in the power grid is obtained. The environmental impact characterization value of each fault location in the power grid is used to quantify the degree of influence of environmental factors on the occurrence of power grid faults.

5. The statistical method for power grid dispatching fault information according to claim 4, characterized in that: The specific process of obtaining the comprehensive fault indicator value of each fault location in the power grid is as follows: The first characterization value of the power grid dispatching fault at each fault location in the power grid, the second characterization value of the power grid dispatching fault at each fault location in the power grid, and the environmental impact characterization value of each fault location in the power grid are extracted, and integrated to obtain the comprehensive fault indicator value of each fault location in the power grid. The comprehensive fault indicator value of each fault location in the power grid is used to quantify the overall fault severity of each fault location in the power grid.

6. The statistical method for power grid dispatching fault information according to claim 1, characterized in that: The matching obtains the fault level of each fault location in the power grid, and summarizes and prompts the fault level of each fault location in the power grid. The specific process is as follows: According to the comprehensive fault indicator value of each fault location in the power grid, the fault level corresponding to the set comprehensive fault indicator value interval of each fault location in the power grid is matched to obtain the fault level of each fault location in the power grid, and the fault level of each fault location in the power grid is sorted and displayed through the power grid management PC.

7. The statistical method for power grid dispatching fault information according to claim 4, characterized in that: The environmental impact characterization values ​​of each fault location in the power grid are analyzed under the following specific conditions: Where H j represents the environmental impact characterization value of the jth fault location in the power grid, C j represents the maximum temperature of the region where the jth fault location belongs, S j Denotes the wind speed of the region where the jth fault location belongs, D j represents the lightning density of the region to which the j-th fault location belongs in the power grid, ΔC represents the set reference temperature, ΔS represents the set reference wind speed, ΔD represents the set limit lightning density, σ1 represents the correction factor corresponding to the set temperature, σ2 represents the correction factor corresponding to the set wind speed, σ3 represents the correction factor corresponding to the set lightning density, j represents the number of each fault location in the power grid, j = 1, 2, 3, ..., n, where n represents the total number of fault locations.

8. The statistical method for power grid dispatching fault information according to claim 5, characterized in that: The comprehensive fault indicator value of each fault location in the power grid is expressed as: Among them, ln is the logarithmic function with base e, ω j represents the comprehensive fault indicator value of the j-th fault location in the power grid, represents the first impact characterization value of the grid dispatching fault at the jth fault location in the grid, The second characterization value of the grid dispatch fault at the jth fault location, H j represents the environmental impact characterization value of the j-th fault location in the power grid, τ1 represents the weight factor corresponding to the first impact characterization value of the power grid dispatching fault, τ2 represents the weight factor corresponding to the second impact characterization value of the power grid dispatching fault, and τ3 represents the weight factor corresponding to the environmental impact characterization value.

9. A power grid dispatching fault information summary and statistics system, characterized by: include: A power grid dispatch fault information receiving module is used for the power grid dispatch center to receive power grid dispatch fault information, wherein the power grid dispatch fault information includes each power grid fault location and power grid operation and maintenance information of each power grid fault location; The power grid dispatch fault information analysis module is used to perform fault analysis on each fault location based on the power grid operation and maintenance information of each fault location, simultaneously collect environmental data of each fault location, and analyze the environmental data of each fault location to obtain the comprehensive fault indicator value of each fault location; The power grid dispatching fault information summary prompt module is used to match the fault level of each fault location in the power grid according to the comprehensive fault indicator value of each fault location in the power grid, and summarize and prompt according to the fault level of each fault location in the power grid.

10. An electronic device using the statistical method for power grid dispatching fault information according to any one of claims 1 to 8, characterized in that: The device includes a processor, and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; when running, the processor calls a computer program from the non-volatile memory through the network interface and runs the computer program through the memory to execute any of the methods described above.

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