基于改进粒子群算法的微电网能量管理系统的优化  

Optimization of Micro-Grid Energy Management System Based on Improved Particle Swarm Optimization

作　　者：郑梦秋 薛阳 王琳 ZHENG Meng-qiu;XUE Yang;WANG Lin(College of Automation Engineering, Shanghai University of Electric Power, Shanghai 20009)

机构地区：[1]上海电力学院自动化工程学院,上海200090

出　　处：《现代计算机（中旬刊）》2017年第12期16-19,共4页Modern Computer

基　　金：国家自然科学基金资助项目(No.61040013)

摘　　要：针对孤岛微电网进行储能配置的优化,当分布式电源的发电总量无法满足负荷日常所需时,则由储能系统承担额外功率的供给任务;而当负荷日常消耗能量较少时,储能系统则担负存储多余能量,以备不时之需的角色。储能系统容量大小确定的依据是根据微网总发电量的盈余和不足确定。在综合考虑微网系统中的基本约束条件以及分布式电源、负荷、储能等特性的基础上,构造出经济上以投资成本为最低的目标函数,并用改进粒子群优化算法对算例进行递归求解,分析证明这种容量优化配置方法的正确性。To optimize the storage allocation for the island micro-grid, the total power generation when distributed power load cannot meet the daily needs, the energy storage power supply system to undertake additional tasks; and when the daily load of less energy consumption, energy storage system is responsible for storing excess energy, to prepare for the role of energy storage system possible period of want or need. The basis for determining the size is determined according to the surplus and shortage of micro-grid total generating capacity. In considering the constraint conditions in the micro-grid and distributed power, energy storage load, based on the characteristics of economic structure with the lowest investment cost as the objective function, and uses the improved particle swarm optimization algorithm for example recursire solution, the analysis proves the correctness of capacity optimization method.

关 键 词：微电网 储能优化 功率约束 粒子群算法 

分 类 号：TM734[电气工程—电力系统及自动化]