Research on Reconstruction Strategy of Closed Bus-ties Power Grid Based on Binary Particle Swarm Optimization

Abstract

In order to solve the problem of fault reconstruction of the mother-connected closed grid, this paper proposes a power grid fault reconstruction strategy based on two-step binary particle swarm optimization. According to the network architecture and electrical characteristics of the deepwater semi-submarine platform power grid, a fault recovery model for the closed bus-ties grid is established. The objective function of the proposed model is to recover the important load as much as possible, and the constraints are based on the power grid structure and system capacity. In order to improve the efficiency of the solution, a two-stage optimization solution process of binary particle swarm optimization algorithm is designed for the established model, and it is used to compare with the simulation results of chaotic genetic algorithm and immune cloning algorithm. The simulation results show that the proposed strategy has better search efficiency and optimization ability, and can effectively improve the speed and accuracy of the fault recovery of the bus-ties closed power grid.