基于模糊控制与非线性优化的孤立微网能量管理策略
收稿日期: 2015-09-22
修回日期: 2015-10-12
网络出版日期: 2015-12-30
基金资助
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）
An Energy Management Strategy Based on Fuzzy Control and Nonlinear Optimization for Isolated Micro-grids
Received date: 2015-09-22
Revised date: 2015-10-12
Online published: 2015-12-30
胡峥辉 , 舒 杰 , 游林儒 , 郗晓田 , 吴志锋 , 崔 琼 , 丁建宁 . 基于模糊控制与非线性优化的孤立微网能量管理策略[J]. 新能源进展, 2015 , 3(6) : 452 -458 . DOI: 10.3969/j.issn.2095-560X.2015.06.007
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 carried 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.
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