Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference (한국조명전기설비학회:학술대회논문집)
- 2008.05a
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- Pages.399-402
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- 2008
MPPT Control of Photovoltaic by FNN
FNN에 의한 태양광 발전의 MPPT 제어
- Jung, Chul-Ho ;
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Ko, Jae-Sub
;
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Choi, Jung-Sik
;
- Jun, Young-Sun ;
- Kim, Do-Yeon ;
- Jung, Byung-Jin ;
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Chung, Dong-Hwa
- Published : 2008.05.08
Abstract
The paper proposes a novel control algorithm for tracking maximum power of PV generation system. The maximum power of PV array is determinated by a insolation and temperature. Prior considered the term in PV generation system is how maximum power point is accurately tracked. The paper proposes a FNN(Fuzzy Neural-Network) control algorithm so as to accurately track those maximum power points. The proposed control algorithm comprises the antecedence part of fuzzy rule and clustering method, multi-layer neural network in the consequent part. FNN has the advantages which are depicted both high performance and robustness in Fuzzy control and high adaptive control in Neural Network. Specially, it can show the outstanding control performance for parameter variations appling to non-linear character of PV array. In paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one.
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