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http://dx.doi.org/10.5391/JKIIS.2010.20.1.021

Design of Fuzzy Logic based MPPT(Maximum Power Point Tracking) Algorithm for Urban Wind Turbine System  

Youk, Yui-Su (군산대학교 전자정보공학부)
Kim, Sung-Ho (군산대학교 전자정보공학부)
Lee, Jang-Ho (군산대학교 기계자동차공학부)
Jang, Mi-Hye (전북대학교 대체에너지공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.1, 2010 , pp. 21-29 More about this Journal
Abstract
Generally, wind industry has been oriented to large power systems which require large windy areas and often need to overcome environment restrictions. However, small-scale wind turbines are closer to the consumers and have a large market potential, and much more efforts are required to become economically attractive. In this paper, a prototype of a small-scale urban wind generation system for battery charging application is described and a fuzzy logic based MPPT(Maximum Power Point Tracking) algorithm which can be effectively applied to urban wind turbine system is proposed. Through Matlab based simulation studies and actual implementation using DSP of the proposed algorithm, the feasibility of the proposed scheme is verified.
Keywords
Small-scale Urban Wind Turbine; Battery charging; Fuzzy logic; MPPT(Maximum Power Point Tracking);
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