Power dispatching first-aid repair method based on power failure event data

Abstract

The invention provides a power dispatching first-aid repair method based on power failure event data, and the method comprises the following steps: 1, collecting 95598 power failure information, integrating the power failure event data through a public power service platform and an internal system of a power company, and obtaining the road traffic condition data in real time; 2, according to the power failure information, features of power failure event data are analyzed, and the features of the power failure event data include importance of a power failure area, power failure duration and severity of power failure types; 3, establishing a comprehensive scoring model, and scoring each power failure event data feature to obtain a comprehensive score; 4, performing priority ranking on the power failure events according to the comprehensive score, and generating a first-aid repair scheme for the power failure events according to the priority ranking; and step 5, in combination with real-time road traffic data, performing route planning on the power failure site in each first-aid repair scheme, and generating an optimal first-aid repair route.

Description

Technical Field

[0001] The present invention relates to the technical field of power outage emergency repair, and particularly to a power dispatching emergency repair method based on power outage event data. Background Art

[0002] Traditional power emergency repair methods mainly rely on manual dispatching, lacking comprehensive analysis and real-time dynamic response to power outage events, resulting in long emergency repair response times, users not receiving timely services, unreasonable resource allocation, and low emergency repair efficiency. Therefore, an intelligent emergency repair method is needed to meet the needs of modern power systems. Summary of the Invention

[0003] The purpose of the present invention is to provide a power dispatching emergency repair method based on power outage event data to solve the problems raised in the above background art.

[0004] The present invention is achieved through the following technical solutions:

[0005] A power dispatching emergency repair method based on power outage event data, the method comprising the following steps:

[0006] Step 1: Collect 95598 power outage information, integrate the power outage event data using the public power service platform and the power company's internal system, and obtain real-time road traffic condition data;

[0007] Step 2: Analyze the characteristics of the power outage event data according to the power outage information, and the power outage event data characteristics include the importance of the power outage area, the power outage duration, and the severity of the power outage type;

[0008] Step 3: Establish a comprehensive scoring model to score each power outage event data characteristic to obtain a comprehensive score;

[0009] Step 4: Sort the power outage events according to the comprehensive score, and generate an emergency repair plan for the power outage events according to the priority ranking;

[0010] Step 5: Combine the real-time road traffic data to plan the route for the power outage location in each emergency repair plan to generate the optimal emergency repair route.

[0011] Specifically, the power outage information includes the power outage area, the power outage reason, and the power outage duration. The power outage area includes hospitals, educational areas, commercial areas, and residential areas. The power outage reasons include equipment failures, weather factors, user reports, and maintenance operations. The power outage duration includes the time difference between the start and end of the power outage event.

[0012] Specifically, the road traffic condition data includes traffic flow, road construction, and traffic accident information.

[0013] Specifically, in step 2, according to the power outage information, the importance of the power outage area is sorted: the sorting order from high to low is: hospitals and education areas > commercial areas > residential areas; the severity of the power outage cause is sorted: the sorting order from high to low is: equipment failure > weather factors > user repair requests > maintenance operations.

[0014] Specifically, in step 2, according to the power outage information, the impact degree of the power outage duration on the users in the power outage area is calculated, which specifically includes:

[0015] Y(t) = v * U * t * ω t

[0016] Among them, Y(t) represents the impact degree function, v represents the sensitivity of different users to power outages, U represents the number of users affected in the power outage area, t represents the power outage duration, and ω t represents the power outage duration weight.

[0017] Specifically, in step 3, a comprehensive scoring model is established to score the data characteristics of each power outage event, and the specific process of obtaining the comprehensive score is as follows:

[0018] S = f I *(ω I ×I) + Y*(ω t ×T) + f R *(ω R ×R)

[0019] Among them, S represents the comprehensive score, f I represents the priority of the power outage area, ω I represents the importance weight of the power outage area, I represents the power outage area, ω t represents the power outage duration weight, T represents the power outage duration, f R represents the priority of the power outage cause, ω R represents the severity weight of the power outage cause, and R represents the priority of the power outage cause.

[0020] Specifically, in step 4, according to the comprehensive score, the power outage events are sorted by priority, and the specific process of generating a repair plan for the power outage events according to the priority sorting is as follows:

[0021] Define the top 20% of the events with the highest comprehensive score as high-priority power outage events to ensure that the most important and most impactful power outage events are given priority treatment in a timely manner;

[0022] Define the events with a comprehensive score between 20% - 50% as medium-priority power outage events and carry out repairs as the situation dictates;

[0023] Events with a comprehensive score lower than 50% are defined as low-priority power outage events, and emergency repairs are carried out when time permits.

[0024] After sorting is completed, a specific emergency repair plan is generated, which includes the following information: power outage event ID, comprehensive score, detailed location of the power outage area, number of power outage users, emergency repair personnel, required equipment, estimated emergency repair time, and emergency repair contact person.

[0025] Specifically, when the comprehensive scores are the same, a secondary sorting is performed according to the number of power outage users, power outage area, power outage reason, and power outage occurrence time.

[0026] Specifically, in step 5, in combination with real-time road traffic data, the specific process of route planning for the detailed location of the power outage area in each emergency repair plan to generate the optimal emergency repair route is as follows:

[0027] Construct a complete road network model on the GIS platform, define the weights of each road segment, including speed limit, number of lanes, and traffic conditions, automatically input the starting point and ending point of the emergency repair vehicle according to the detailed location of the power outage area, predict the delay time in combination with real-time traffic data, and use the path planning algorithm to calculate the optimal emergency repair route.

[0028] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0029] A power dispatching emergency repair method based on power outage event data provided by the present invention, through scientific evaluation and optimization solutions, greatly shortens the emergency repair response time and improves the emergency repair efficiency; gives priority to handling power outage events in important areas, reduces the impact on users, and reduces user losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only the preferred embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0031] Figure 1 It is a flowchart of a power dispatching emergency repair method based on power outage event data provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] To make the objectives, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only a part rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited by the exemplary embodiments described herein. Based on the embodiments of the present invention described herein, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present invention.

[0033] In the following description, numerous specific details are given to provide a more thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that the present invention may be practiced without one or more of these details. In other instances, well-known features have not been described in order to avoid obscuring the present invention.

[0034] It should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to make the disclosure thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0035] The terms used herein are for the purpose of describing particular embodiments only and are not intended to be limiting of the present invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the terms "comprising" and / or "including", when used in this specification, specify the presence of the stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups. As used herein, the term "and / or" includes any and all combinations of the associated listed items.

[0036] To fully understand the present invention, detailed structures will be presented in the following description to illustrate the technical solutions proposed by the present invention. The alternative embodiments of the present invention are described in detail below. However, in addition to these detailed descriptions, the present invention may have other implementation manners.

[0037] See Figure 1 , a power dispatching and emergency repair method based on power outage event data, the method comprising the following steps:

[0038] Step 1: Collect 95598 power outage information, integrate the power outage event data using the public power service platform and the internal system of the power company, and obtain the road traffic condition data in real time;

[0039] Exemplarily, using the public power service platform and the internal system of the power company, systematically collect 95598 power outage information, including power outage time, power outage area, power outage reason, duration, etc.

[0040] At the same time, integrate real-time road traffic condition data (such as traffic flow, road construction, traffic accidents, etc.) to ensure a comprehensive understanding of the external environment during the emergency repair process.

[0041] Step 2: Analyze the characteristics of the power outage event data according to the power outage information. The characteristics of the power outage event data include the importance of the power outage area, the power outage duration, and the severity of the power outage type.

[0042] Exemplarily, evaluating the characteristics of the power outage event data can assess the impact degree of each power outage event on users. The results of the characteristic analysis are beneficial to the establishment of a comprehensive scoring model to ensure that the scoring can reflect the actual impact and urgency of the power outage event.

[0043] Step 3: Establish a comprehensive scoring model to score each characteristic of the power outage event data and obtain a comprehensive score.

[0044] Exemplarily, the obtained comprehensive score is the basis for subsequent priority ranking, ensuring that emergency repair resources are preferentially allocated to the events with the greatest impact and ensuring the reasonable scheduling of emergency repair resources.

[0045] Step 4: Rank the power outage events according to the comprehensive score and generate an emergency repair plan for the power outage events according to the priority ranking.

[0046] Exemplarily, rank the power outage events according to the comprehensive score to ensure that the most urgent and most impactful events are processed first; for the ranked events, formulate corresponding emergency repair plans, including required resources, personnel arrangements, etc.

[0047] Step 5: Combine real-time road traffic data to plan the route for the power outage location in each emergency repair plan and generate the optimal emergency repair route.

[0048] Exemplarily, route planning can improve the speed of emergency repair personnel arriving at the power outage site, thereby reducing the emergency repair time and ensuring the emergency repair efficiency.

[0049] Specifically, the power outage information includes the power outage area, power outage reason, and power outage duration. The power outage area includes hospitals, education areas, commercial areas, and residential areas. The power outage reasons include equipment failures, weather factors, user reports, and maintenance operations. The power outage duration includes the time difference between the start and end of the power outage event.

[0050] Specifically, the road traffic condition data includes traffic flow, road construction, and traffic accident information.

[0051] Specifically, in step 2, according to the power outage information, the importance of the power outage area is ranked: the ranking order from high to low is: hospitals and education areas > commercial areas > residential areas; the severity of the power outage cause is ranked: the ranking order from high to low is: equipment failure > weather factors > user reports > maintenance operations.

[0052] Specifically, in step 2, according to the power outage information, calculate the impact degree of the power outage duration on the users in the power outage area, which specifically includes:

[0053] Y(t) = v * U * t * ω t

[0054] Among them, Y(t) represents the impact degree function, v represents the sensitivity of different users to power outages, U represents the number of users affected in the power outage area, t represents the power outage duration, and ω t represents the power outage duration weight.

[0055] Specifically, in step 3, establish a comprehensive scoring model to score the data characteristics of each power outage event, and the specific process of obtaining the comprehensive score is as follows:

[0056] S = f I *(ω I ×I) + Y*(ω t ×T) + f R *(ω R ×R)

[0057] Among them, S represents the comprehensive score, f I represents the priority of the power outage area, ω I represents the importance weight of the power outage area, I represents the power outage area, ω t represents the power outage duration weight, T represents the power outage duration, f R represents the priority of the power outage cause, ω R represents the severity weight of the power outage cause, and R represents the priority of the power outage cause.

[0058] Specifically, in step 4, according to the comprehensive score, rank the power outage events, and the specific process of generating a repair plan for the power outage events according to the priority ranking is as follows:

[0059] Define the top 20% of the events with the highest comprehensive score as high-priority power outage events to ensure that the most important and most affected power outage events are given priority for timely handling;

[0060] Define the events with a comprehensive score between 20% - 50% as medium-priority power outage events, and carry out repairs as the situation dictates;

[0061] Events with a comprehensive score lower than 50% are defined as low-priority power outage events and will be repaired when time permits.

[0062] After sorting is completed, a specific repair plan will be generated, which includes the following information: power outage event ID, comprehensive score, detailed location of the power outage area, number of power outage users, repair personnel, required equipment, estimated repair time, and repair contact person.

[0063] Exemplarily, the generated repair plan is as follows:

[0064] Power outage event ID: 12345

[0065] Comprehensive score: 85

[0066] Power outage area: No. XXX, Commercial Area, XX Road

[0067] Number of power outage users: 250

[0068] Repair personnel:

[0069] Electrical engineers: 3 people

[0070] Equipment repairmen: 2 people

[0071] Cleaning team: 4 people

[0072] Required equipment:

[0073] Transformer: 1 unit

[0074] Lifting equipment: 1 set

[0075] Estimated repair time: 4 hours

[0076] Repair contact person: Zhang San, contact phone number (XXX)

[0077] Through priority sorting and repair plan generation, the power company's handling efficiency of power outage events can be significantly improved.

[0078] Specifically, when the comprehensive scores are the same, a secondary sorting will be carried out according to the power outage area, number of power outage users, power outage reason, and power outage occurrence time.

[0079] Exemplarily, when power outage events with the same comprehensive score occur, a secondary sorting will be carried out.

[0080] 1. Nature of the power outage area

[0081] Sorting logic: Sort according to priority. If the power outage event occurs in important areas such as commercial areas, schools, and residential areas, the priority is higher. For example, a power outage event in a commercial area takes precedence over a power outage event in a residential area.

[0082] 2. Number of power outage users

[0083] Sorting logic: Prioritize events that affect a larger number of users. That is, if two events have the same comprehensive score, the event that affects a larger number of users has a higher priority.

[0084] 3. Reasons for power outage:

[0085] Sorting logic: Sort according to priority

[0086] 4. Occurrence time of power outage events

[0087] Sorting logic: For events with an earlier occurrence time, the priority is higher. That is, if two events have the same comprehensive score and the same number of users, the event with an earlier occurrence time is processed first.

[0088] Sorting example:

[0089] As shown in the following table, assume there are the following three power outage events with the same comprehensive score of 75 points:

[0090] Table 1 Power outage events

[0091]

[0092] The sorting process is as follows:

[0093] (1) Compare the nature of the power outage area:

[0094] Event 001 (commercial area) takes precedence over Event 002 (residential area) and Event 003 (school area), but Event 003 (school area) is also under consideration.

[0095] Assume that the school area has a higher priority than the residential area, then Event 003 takes precedence over Event 002.

[0096] (2) Compare the number of power outage users:

[0097] Event 002 (200 users) takes precedence over Event 001 (150 users) and Event 003 (100 users).

[0098] (3) Compare the reasons for power outage:

[0099] Event 001 (equipment failure) and Event 003 (equipment failure) have the same priority over Event 002 (natural disaster).

[0100] (4) Compare the occurrence time of power outage:

[0101] Event 001 (08:00) takes precedence over Event 003 (08:30) and Event 002 (09:00).

[0102] The final sorting result is as follows:

[0103] According to the above secondary sorting criteria, the final priority sorting is as follows:

[0104] Event 001 (Commercial area, 150 users, equipment failure, 08:00)

[0105] Event 003 (School area, 100 users, equipment failure, 08:30)

[0106] Event 002 (Residential area, 200 users, natural disaster, 09:00)

[0107] Specifically, in step 5, by combining real-time road traffic data, the specific process of route planning for the detailed locations of the power outage areas in each emergency repair plan to generate the optimal emergency repair route is as follows:

[0108] Construct a complete road network model on the GIS platform, define the weights of each road segment, including speed limits, number of lanes, and traffic conditions, automatically input the starting point and ending point of the emergency repair vehicle according to the detailed locations of the power outage areas, predict the delay time in combination with real-time traffic data, and calculate the optimal emergency repair route using a path planning algorithm.

[0109] Exemplarily, by establishing a complete road network model on the GIS platform, including all relevant road information, define the attributes of each road segment, such as speed limits, number of lanes, traffic conditions (normal, congested, closed, etc.).

[0110] According to the emergency repair plan, automatically input the starting point (such as the power company warehouse, maintenance center) and the ending point (the specific location of the power outage area) of the emergency repair vehicle.

[0111] Obtain real-time traffic condition data through a traffic monitoring system or API interface, including current traffic flow, congestion situation, accident information, etc. Integrate this data into the road network model for delay time prediction.

[0112] According to the real-time traffic data, calculate the estimated driving time of each road segment from the starting point to the ending point and predict the delay time. The specific process is as follows:

[0113] 1. Calculate the ideal driving time:

[0114]

[0115] Among them, T ideal represents the ideal driving time, n represents the number of road segments passed from the starting point to the ending point, L i represents the length of the i-th road segment, and V base,i represents the basic speed of the i-th road segment.

[0116] 2. Consider the impact of traffic flow on the driving speed and calculate the actual driving speed:

[0117]

[0118] Among them, V actual,i represents the actual driving speed of the i-th road segment, Q i represents the real-time traffic flow of the i-th road segment, and C i represents the capacity of the i-th road segment.

[0119] 3. Calculate the driving time of each road segment based on the actual driving speed:

[0120]

[0121] Among them, T actual is the actual driving time of the i-th road segment.

[0122] 4. Add up the actual driving times of all road segments to obtain the total driving time from the starting point to the ending point:

[0123] 5. Calculate the delay time:

[0124] T delay = T actual - T ideal

[0125] Among them, T delay represents the delay time, T ideal represents the driving time under ideal conditions, and T actual represents the actual driving time considering traffic conditions.

[0126] Adopt a path planning algorithm, input the starting point, ending point, and road network model, and calculate the optimal path. The algorithm will select a path based on the defined weights to ensure that the selected path is the fastest and shortest. Output the calculation results, generate the optimal emergency repair route, and display the route map on the GIS platform. The specific process is as follows:

[0127] The path planning algorithm specifically adopts the Dijkstra algorithm. First, create a set of unvisited nodes (usually all nodes), then set the distance of the starting point to 0, and the distances of other nodes to infinity.

[0128] Secondly, set an empty set of visited nodes. Select a node closest to the starting point (the current node) from the unvisited nodes. For each neighbor of the current node, calculate the distance to reach the neighbor through the current node. If this distance is less than the previously recorded distance, update the distance of the neighbor node. Mark the current node as visited and remove it from the unvisited set.

[0129] Repeat this operation until all nodes have been visited or the target node has been found. Trace back from the target node to find the node sequence of the shortest path, that is, generate the optimal emergency repair route.

[0130] Information such as key nodes and estimated arrival times can be marked on the route map so that emergency repair personnel can make real-time adjustments.

[0131] During the emergency repair process, continuously monitor traffic data. If new congestion or accidents occur, adjust the emergency repair route in a timely manner to ensure that the emergency repair vehicle always selects the best path.

[0132] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A power dispatching and repair method based on power outage event data, characterized in that: The method comprises the following steps: Step 1: Collect 95598 power outage information, use the public power service platform and the power company's internal system to integrate the power outage event data, and obtain real-time road traffic status data; Step 2: Analyze the characteristics of the power outage event data according to the power outage information, wherein the characteristics of the power outage event data include the importance of the power outage area, the duration of the power outage, and the severity of the power outage type; Step 3: Establish a comprehensive scoring model to score the data features of each power outage event and obtain a comprehensive score; Step 4: Prioritize the power outage events according to the comprehensive scores, and generate emergency repair plans for the power outage events according to the priority ranking; Step 5: Combined with real-time road traffic data, route planning is performed for each power outage location in the emergency repair plan to generate the optimal emergency repair route.

2. The method for power dispatching and repairing based on power outage event data according to claim 1, characterized in that: The power outage information includes the power outage area, the cause of the power outage and the duration of the power outage. The power outage area includes hospitals and educational areas, commercial areas, and residential areas. The causes of the power outage include equipment failure, weather factors, user reports, and maintenance operations. The power outage duration includes the time difference between the start and end of the power outage event.

3. The method for power dispatching and repairing based on power outage event data according to claim 2, characterized in that: The road traffic condition data includes traffic flow, road construction, and traffic accident information.

4. The method for power dispatching and repairing based on power outage event data according to claim 3 is characterized in that: In step 2, the importance of the power outage areas is ranked according to the power outage information, and the order from high to low is: hospitals and education areas>commercial areas>residential areas; the severity of the power outage causes is ranked, and the order from high to low is: equipment failure>weather factors>user repair reports>maintenance operations.

5. The method for power dispatching and repairing based on power outage event data according to claim 4, characterized in that: In step 2, calculating the impact of the power outage duration on users in the power outage area according to the power outage information specifically includes: Y(t)=v*U*t*ω t Among them, Y(t) represents the impact function, v represents the sensitivity of different users to power outages, U represents the number of users affected by the power outage area, t represents the duration of the power outage, and ω t Indicates the weight of power outage duration.

6. The method for power dispatching and repairing based on power outage event data according to claim 5, characterized in that: In step 3, a comprehensive scoring model is established to score each power outage event data feature. The specific process of obtaining the comprehensive score is as follows: S=f I / (ω I ×I)+Y*(ω t ×T)+f R *(oh R ×R) Among them, S represents the comprehensive score, f I Indicates the priority of the power outage area, ω I represents the importance weight of the power outage area, I represents the power outage area, ω t represents the power outage duration weight, T represents the power outage duration, and f R Indicates the priority of the power outage cause, ω R represents the severity weight of the power outage cause, and R represents the priority of the power outage cause.

7. The method for power dispatching and repairing based on power outage event data according to claim 6, characterized in that: In step 4, the power outage events are prioritized according to the comprehensive scores, and the specific process of generating emergency repair plans for the power outage events according to the priority ranking is as follows: The top 20% of events with the highest comprehensive scores are defined as high-priority power outage events to ensure that the most important and impactful power outage events are handled in a timely and prioritized manner; Events with a comprehensive score between 20% and 50% are defined as medium-priority power outage events, and emergency repairs will be carried out depending on the situation; Events with a comprehensive score below 50% are defined as low-priority power outage events, and emergency repairs will be carried out if time permits; After the sorting is completed, a specific emergency repair plan is generated, which contains the following information: power outage event ID, comprehensive score, detailed location of the power outage area, number of power outage users, emergency repair personnel, required equipment, estimated emergency repair time and emergency repair contact person.

8. The method for power dispatching and repairing based on power outage event data according to claim 7, characterized in that: When the comprehensive scores are consistent, secondary sorting is performed based on the number of users with power outages, power outage areas, power outage causes, and power outage occurrence time.

9. The method for power dispatching and repairing based on power outage event data according to claim 8, characterized in that: In step 5, the specific process of planning the route for the detailed location of the power outage area in each emergency repair plan in combination with the real-time road traffic data and generating the optimal emergency repair route is as follows: A complete road network model is built on the GIS platform, and the weight of each road section is defined, including speed limit, number of lanes and traffic conditions. The starting and ending points of the repair vehicles are automatically input according to the detailed location of the power outage area, and the delay time is predicted in combination with real-time traffic data. The path planning algorithm is used to calculate the optimal repair route.

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