基于混合PSO算法的孤岛运行微电网优化调度研究  

Research for Optimal Scheduling of Island Micro-grid System Based on AFSA-PSO

作　　者：王佳 刘娇娇[2] 邹毅军 王志鹏 谭伟 

机构地区：[1]上海科梁信息工程有限公司,上海200233 [2]上海电气集团股份有限公司中央研究院,上海201100

出　　处：《自动化与仪表》2015年第12期15-19,共5页Automation & Instrumentation

基　　金：上海市自然科学基金资助项目(15ZR1417300)

摘　　要：搭建孤岛运行模式下含维护费用、燃料费用、蓄电池损耗费用和停电损失费用的微电网优化调度模型。提出了利用人工鱼群算法和粒子群算法混合求解微电网的优化调度方法。以含有风力发电机、光伏电池、微型燃气轮机和锂电池储能的微电网系统为例,分别采用PSO算法和AFSA-PSO算法,对微电网系统进行优化调度仿真,通过对2种仿真方法比较分析,验证了该文所提出的优化调度方法的正确性和优越性。Optimal scheduling model of island micro-grid considering maintenance costs,fuel cost,battery loss cost and power loss cost was set up. A kind of micro-grid optimal scheduling method using artificial fish algorithm and particle swarm optimization was proposed. Taking the example of micro-grid system with wind turbine,photovoltaic cell,micro gas turbine and lithium battery,simulated each distributed generation unit＇s output power using AFSA-PSO and PSO. The results confirmed that the optimal scheduling method proposed in this paper is right and superior.

关 键 词：微电网 粒子群算法 鱼群算法 孤岛 优化调度 

分 类 号：TM743[电气工程—电力系统及自动化]