Advances in New and Renewable Energy >
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
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.
HU Zheng-hui , SHU Jie2 , YOU Lin-ru , XI Xiao-tian , WU Zhi-feng , CUI Qiong , DING Jian-ning . An Energy Management Strategy Based on Fuzzy Control and Nonlinear Optimization for Isolated Micro-grids[J]. Advances in New and Renewable Energy, 2015 , 3(6) : 452 -458 . DOI: 10.3969/j.issn.2095-560X.2015.06.007
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