基于模糊控制与非线性优化的孤立微网能量管理策略  

An Energy Management Strategy Based on Fuzzy Control and Nonlinear Optimization for Isolated Micro-grids

作　　者：胡峥辉[1] 舒杰[2] 游林儒[1] 郗晓田[1] 吴志锋[2] 崔琼[2] 丁建宁 

机构地区：[1]华南理工大学自动化科学与工程学院,广州510640 [2]中国科学院广州能源研究所中国科学院可再生能源重点实验室,广州510640 [3]江苏省光伏科学与工程协同创新中心,江苏常州213164

出　　处：《新能源进展》2015年第6期452-458,共7页Advances in New and Renewable Energy

基　　金：国家自然科学基金资助项目(51206170);中科院佛山市合作项目(2012HY1006551);广州市创新平台与共享项目(201509010018)

摘　　要：为减小可再生能源输出功率波动对孤立微网电能质量的影响,本文设计了一种基于模糊控制与非线性优化的能量管理策略并应用于风/光/储/柴构建的微网系统中。以能量平衡、瞬时功率控制、锂离子电池及超级电容混合储能综合协调控制为目标,开展仿真研究,并在已有的150 k W风/光/储/柴微网实验平台上进行了验证。研究表明,在非线性优化的作用下,系统动态响应快、瞬时功率缓冲控制效果好,该策略具有实用价值。To reduce the output power fluctuation of renewable energy and the establishment cost of the isolated micro-grids, this paper presents an energy management strategy based on fuzzy control and nonlinear optimization. The strategy was applied to a micro-grid system which consists of wind, light and diesel engine storage. We carded out some simulations with aims of power balance, coercion of the instantaneous power, lithium-ion battery and super capacitor storage as the optimization condition. The results were verified on the experimental platform. A numerical example showed that, nonlinear optimization could accelerate the dynamic response of the system and buffer the instantaneous power. These results reveal that such strategy might have practical values.

关 键 词：微电网 模糊控制 非线性优化 混合储能 超级电容 

分 类 号：TK519[动力工程及工程热物理—热能工程]