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http://dx.doi.org/10.6113/TKPE.2011.16.5.484

Sensorless MPPT Control of a Grid-Connected Wind Power System Using a Neuro-Fuzzy Controller  

Lee, Hyun-Hee (아주대 전자공학과)
Choi, Dae-Keun (아주대 전자공학과)
Lee, Kyo-Beum (아주대 전자공학부)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.16, no.5, 2011 , pp. 484-493 More about this Journal
Abstract
The MPPT algorithm using neuro-fuzzy controller is proposed to improve the performance of fuzzy controller in this paper. The width of membership function and fuzzy rule have an effect on the performance of fuzzy controller. The neuro-fuzzy controller has the response characteristic which is superior to the existing fuzzy controller, because of using the optimal width of the fuzzy membership function through the neural learning. The superior control characteristic of a proposed algorithm is confirmed through simulation and experiment results.
Keywords
Neuro-fuzzy; Sensorless MPPT; Grid connected inverter; Renewable energy; Boost converter;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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