基于BFPSO算法的分布式电源优化配置

Optimized allocation of distributed generation based on BFPSO

为了更合理地配置配电网中的分布式电源,改善供电质量,在考虑传统分布式电源优化配置目标的基础上,将分布式电源的环境成本纳入评价指标,建立一种综合考虑分布式电源投资成本、网络损耗成本、购电成本和环境成本的配电网多目标优化配置模型;为解决标准粒子群算法易陷入局部最优及收敛速度慢的问题,将人工蜂群算法及蛙跳算法的思想融入标准粒子群算法构成BFPSO算法,并利用BFPSO算法对模型进行寻优;IEEE-33节点系统仿真分析结果表明:提出的模型及改进算法能快速、有效地实现分布式电源优化配置。

In order to rationally allocate the DG in distribution network to improve the quality of power supply,an optimized allocation model which synthetically consider the DG investment cost,network losses cost,purchase cost and environmental cost was established in this paper.Meanwhile,in order to increase the search speed and accuracy of particle swarm optimization,the artificial bee colony optimization algorithm and shuffled frog leaping algorithm were integrated into the particle swarm optimization,which was defined as BFPSO algorithm.Finally,the model was simulated in IEEE-33 node standard testing system,and the simulation results show that the built model and the proposed algorithm can effectively optimize the position and capacity of DG.