Intelligent master station self-healing control method and device and computer program product
By building a self-healing control evaluation index system and improving the multi-objective ant lion optimization algorithm, the problem of insufficient response speed and strategic accuracy of the intelligent main station self-healing control is solved, and high-precision and fast response self-healing control is achieved, which improves the reliability and anti-interference ability of the power grid.
Patent Information
- Application Number
- CN202510460478.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2025-07-29
AI Technical Summary
The existing smart master station self-healing control methods have shortcomings in fault response speed, control strategy accuracy and fault isolation and re-energy efficiency, and it is difficult to effectively deal with the complex working conditions of the smart grid, resulting in long system recovery time and low reliability.
Establish a self-healing control evaluation index system, build a self-healing control model that includes action judgment logic, switch refusal judgment logic and fault recovery constraints, and improve the multi-objective ant lion optimization algorithm, use chaotic mapping to generate initial population and dynamic adjustment algorithm parameters, and generate Pareto frontier solution sets to optimize fault isolation and re-energy control strategies.
It significantly improves the fault response speed and control strategy accuracy, shortens the system recovery time, improves power supply reliability and economy, and enhances the anti-interference ability and safety of the power grid.