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논문 기본 정보

자료유형
학술대회자료
저자정보
Sung-Jun Kang (Sunchon National University) Jae-Sub Ko (Sunchon National University) Jung-Sik Choi (Korea Electronics Technology Institute) Mi-Geum Jang (Korea Electronics Technology Institute) Ju-Hui Mun (Sunchon National University) Jin-Gook Lee (Sunchon National University) Dong-Hwa Chung (Sunchon National University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2011
발행연도
2011.10
수록면
434 - 439 (6page)

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초록· 키워드

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This paper proposes a novel maximum power point tracking (MPPT) using a fuzzy logic control (FLC) algorithm for robust in environment changing. The power available at the output of photovoltaic (PV) cell keeps changing with radiation and temperature because solar cell exhibits a nonlinear current-voltage characteristic. So its maximum power point (MPP) of PV cells varies with radiation and temperature. MPPT methods are used in PV systems to make full utilization of PV array output power which depends on radiation and temperature. Conventional MPPT controller such as constant voltage (CV), perturbation and observation (PO) and incremental conductance (IC) are researched. But these controllers have the problem that is failure to MPP with environment changing. The proposed FLC controller is based the fuzzy control algorithm and able to robust control with environment changing. Also the PV systems applied FLC controller is modeled by PSIM and the response characteristics of FLC method according to the environment variation is analyzed through comparison with performance of conventional methods. The validity of this controller is proved through response results.

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Abstract
1. INTRODUCTION
2. SOLAR CELL MODEL
3. TRADITIONA MPPT ALGORITHM
4. PERFORMANCE RESULT OF SYSTEM
5. CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2014-569-000912860