Power grid elasticity improving method based on improved particle swarm optimization

A power grid elasticity improving method based on an improved particle swarm algorithm studies and considers a line fault model under the influence of a typhoon load effect, then analyzes the influence condition of the typhoon on a line meteorological load, and calculates the line fault probability in combination with the load capacity which can be actually borne by a line. On the basis, a fault scene is selected by using system information entropy and is used as a typical scene of a distributed power supply site selection model. And establishing, optimizing and solving a distributed power supply site selection model considering the line fault rate. Aiming at different typical scenes which may occur, obtaining a distributed power supply site selection position which satisfies various constraints and maximizes power grid elasticity by using the proposed method; the improved multi-target particle swarm optimization is used to optimize and solve the distributed power supply locating and sizing planning model, an