| Title |
MPPT Control of Photovoltaic by FNN |
| Authors |
최정식(Choi, Jung-Sik) ; 고재섭(Ko, Jae-Sub) ; 정동화(Chung, Dong-Hwa) |
| Keywords |
Photovoltaic ; Maximum Power Point Tracking(MPPT) ; Fuzzy ; Neural-Network ; Fuzzy Neural Network(FNN) |
| 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(MPP) is accurately tracked.. The paper proposes a fuzzy neural network(FNN) 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 this paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one. |