基于离散粒子群算法的光伏微电网储能容量优化配置  

Optimal Allocation of Energy Storage Capacity of Photovoltaic Microgrid Based on Discrete Particle Swarm Optimization

作　　者：李春玲[1] LI Chunling(Guangxi Construction Vocational and Technical College,Nanning 530000,China)

机构地区：[1]广西建设职业技术学院,广西南宁530000

出　　处：《电工技术》2023年第22期93-96,共4页Electric Engineering

基　　金：2022年度广西高校中青年教师科研基础能力提升项目“基于建筑太阳能光伏发电的微电网技术的研究与实践”(编号2022KY1164)。

摘　　要：传统储能容量配置策略为确保微电网运行的稳定性,在一定程度上增加了冗余投资,为此提出基于离散粒子群算法的光伏微电网储能容量优化配置。通过蓄电池组与超级电容器的工程模型,获取光伏微电网储能装置的工作特性,以容量配比最优、投资成本最小为目标构建储能容量优化配置模型,并引入离散粒子群算法求解模型,获得最优储能容量配置结果。实例分析结果表明,对于蓄电池组与超级电容组成的储能装置,该方法在满足输出功率平衡的基础上,给出了一个最优容量配比和最强经济效益的容量优化配置方案。In order to ensure operating stability of microgrid,traditional capacity allocation strategy of energy storage devices requires redundant investment at a certain extent.In consideration of this,the present work proposes an optimal capacity allocation method of energy storage devices in photovoltaic microgrid based on discrete particle swarm optimization algorithm.Through the engineering models of battery pack and supercapacitors,operating characteristics of photovoltaic micro-grid energy storage device are obtained.By taking optimal capacity ratio and minimum investment cost as target condition,the optimal allocation model of energy storage capacity is built and is solved by the introduction of discrete particle swarm optimization algorithm,thereby obtaining optimal capacity of energy storage devices.Case analysis results show that for an energy storage system composed of batteries and supercapacitors,the proposed method successfully gives an optimal scheme that simultaneously achieves optimal capacity ratio and highest economic cost-effectiveness under the premise of satisfying output power balance.

关 键 词：离散粒子群算法 光伏微电网 储能容量 优化配置 

分 类 号：TM61[电气工程—电力系统及自动化]