Maximum Power Point Tracking in Grid Connected Wind Plant by using Intelligent Controller and Switched Reluctance Generator

Ehsan Rahmanian, Hasan Akbari, Hosein Sheisi

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents intelligent controllers as a maximum power point tracking system for a switched reluctance generator (SRG) driven by a variable speed wind turbine to attain the maximum power. The intelligent controller systems are artificial neural network (ANN) controller and fuzzy logic (FL) controller. Both controllers manipulate the wind turbine rotational speed by changing turn-off angle of the SRG. The turn on angle is fixed. The wind plant is connected to the grid through a DC-AC inverter system and two step up power transformers. The systems are simulated in MATLAB/ Simulink environment. The results show that the ANN controller is more accurate and efficient than the FL controller.
Original languageEnglish
Pages (from-to)1313 - 1320
JournalIEEE Transactions on Sustainable Energy
Volume8
Issue number3
DOIs
Publication statusPublished - 2017
Externally publishedYes

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