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논문 기본 정보

자료유형
학술저널
저자정보
Ji-Ying Shi (Tianjin University) Fei Xue (Tianjin University) Zi-Jian Qin (Tianjin University) Wen Zhang (Tianjin University) Le-Tao Ling (Tianjin University) Ting Yang (Tianjin University)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.16 No.1
발행연도
2016.1
수록면
287 - 296 (10page)

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초록· 키워드

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Conventional maximum power point tracking (MPPT) methods are ineffective under partially shaded conditions because multiple local maximum can be exhibited on power–voltage characteristic curve. This study proposes an improved cuckoo search (ICS) MPPT method after investigating the cuckoo search (CS) algorithm applied in solving multiple MPPT. The algorithm eliminates the random step in the original CS algorithm, and the conception of low-power, high-power, normal and marked zones are introduced. The adaptive step adjustment is also realized according to the different stages of the nest position. This algorithm adopts the large step in low-power and marked zones to reduce search time, and a small step in high-power zone is used to improve search accuracy. Finally, simulation and experiment results indicate that the promoted ICS algorithm can immediately and accurately track the global maximum under partially shaded conditions, and the array output efficiency can be improved.

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Abstract
I. INTRODUCTION
II. BASICS OF P&O, PSO, AND CS
III. PRINCIPLE OF ICS
IV. SIMULATION AND ANALYSIS
V. EXPERIMENTAL RESULTS AND ANALYSIS
VI. CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2016-560-002315433