Application of Differential Evolution Algorithm to Power System Economic Dispatch Problem

Abstract

Differential evolution algorithm belongs to intelligent algorithm. The initial population of differential evolution algorithm is generated randomly within the constraint range of variable upper and lower limits, and the vector between random individuals in the population is used as the orientation of individuals. Differential evolution algorithm can effectively search for the optimal solution in the global scope, and it does not need the differentiable and convex properties of the objective function. In this paper, we use the differential evolution algorithm to solve the economic scheduling problem of power system, and the simulation results prove the effectiveness and correctness of the differential evolution algorithm.