Power grid multi-fault-point first-aid repair task allocation method and computer equipment
By quantifying the probability of equipment failure, traffic congestion, and the capabilities of emergency repair teams, an adaptive peak-group algorithm is used to optimize task allocation. This solves the problems of scenario description and resource constraints in emergency repair of multiple fault points in power distribution networks, achieving efficient and feasible globally optimal task allocation and improving the quality and efficiency of emergency repair scheduling.
CN121660306APending Publication Date: 2026-03-13STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
View PDF 0 Cites 0 Cited by
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-11
- Publication Date
- 2026-03-13
Smart Images

Figure CN121660306A_ABST
Abstract
The invention discloses a power grid multi-fault-point first-aid repair task allocation method and computer equipment, and the method comprises the steps: S1, calculating the three coefficients of the operation age limit, the load rate and the historical fault of the equipment, building an equipment fault probability model according to the three coefficients, and generating a fault point quantification set through a Bernoulli test; calculating traffic passing difficulty by using a logistic function, and establishing a traffic network quantization matrix; establishing a human resource quantization vector of the first-aid repair team, calculating real-time capability according to exponential attenuation, and summarizing quantization results of the fault point quantization set, the traffic network quantization matrix and the human resource quantization vector to obtain a multi-fault-point scene quantization result; s2, according to the multi-fault-point scene quantification result, an objective function is established, and constraint conditions comprise human resources, time, capability matching and tool materials; and S3, solving a global optimal task allocation scheme through an adaptive peak group algorithm, thereby improving the first-aid repair scheduling quality and efficiency in the multi-fault scene of the power distribution network.
Need to check novelty before this filing date? Find Prior Art