改进的粒子群优化算法在分布式电源选址和定容中的应用

Improved Particle Swarm Optimization Method and Its Application in the Siting and Sizing of Distributed Generation Planning

分析了分布式电源接入配电网前后对网络损耗的影响,在此基础上提出采用混合模拟退火算法的改进粒子群优化算法进行分布式电源选址和定容的计算,其目的是使配电系统网络损耗进一步减少。最后通过两个算例将本文提出的算法与采用遗传算法、模拟退火算法的计算结果进行对比分析,验证了所提出的改进算法在分布式电源选址和定容问题求解中具有很强的全局搜索能力和快速的收敛速度,为进一步开展分布式电源规划拓展思路。

This paper analyses the influence of network loss when distribution generation （DG） access to distribution network, and presents a new algorithm to optimize the site and size of DG based on integrating the use of simulated annealing （SA） and particle swarm optimal （PSO） algorithm. The purposed algorithm is to find how much distribution network loss can be further reduced. With two examples the superiority of the proposed algorithm is demonstrated in comparison with the genetic algorithms and simulated annealing algorithm. The calculation results show that the proposed algorithm to solve the problem of distributed generation planning has strong global search ability and rapid convergence speed.