Research on Outage Maintenance Optimization Strategy Based on Improved Multi-Objective Particle Swarm Optimization
Abstract With the increasingly complex structure of the transmission system, the impact of power outage caused by faults in the power grid is becoming greater and greater. The power grid shall cut off the maintenance of line equipment to ensure the power supply safety of the system. During the outage maintenance period, how to achieve safe maintenance and low-cost impact is the main content of outage control. Aiming at the problem of outage maintenance, a particle swarm optimization algorithm with the goal of minimum impact, economic optimization and shortest maintenance time is proposed. The game theory is used to select the optimal solution from the solutions of particle swarm optimization algorithm to solve the multi-objective function, so as to improve and ensure the population diversity, realize the efficiency and economy of outage maintenance, and meet the needs of outage plan of large power grid. The effectiveness of the proposed algorithm is further verified by comparing multi class baseline experiments.
