Sizing and Locating of Distributed Generations Based on Chaos Particle Swarm Optimization Algorithm

Abstract

Optimal configuration of distributed generations (DGs) is an important topic in the developing of intelligent power grid. In this paper, to finding out the optimal sitting and sizing Of DGs in distribution network without considering the newly increased load nodes, an economical model is built that regards the annual minimum operating cost as the objective function. Meanwhile, in order to avoid the particles trapping in local optimum, the chaos particle swarm optimization algorithm (CPSO) is adopted. Through testing on the IEEE 33-bus radial distribution system, the analysis results showed that the algorithm is effective.

Applied Research on Distributed Generation Optimal Allocation Based on Improved Estimation of Distribution Algorithm

“…The particle swarm optimization algorithm is used to optimize the location and capacity of the DG in Refs. [24,25], but it performs poorly when dealing with discrete optimizations. The literatures [26,27] apply the simulated annealing algorithm to the problem of DG optimal allocation.…”