A Novel Neuro Fuzzy Based Control Strategy for Variable Speed Wind Energy Conversion System

Abstract:

— This article describes a novel control strategy of a stand-alone Self-Excited Induction Generator (SEIG) driven by a variable speed wind turbine. The conventional Wind Energy Conversion System (WECS) controller is restructured by using a Current Controlled Voltage Source Inverter (CC-VSI) with an Electronic Load Controller (ELC) is connected in parallel with the main consumer load to the AC terminals of the induction machine. The proposed control strategy has Neuro-Fuzzy Logic Controller (NFLC) and Hysteresis Current Controller (HCC) to extract the maximum available energy from the wind turbine as well as to regulate the generator terminal voltage simultaneously against wind speed and main load variation. The control parameters are derived according to steady state characteristics of the proposed system. The proposed system is modelled and simulated with the help of SimPower Systems block sets in MATLAB

• Periodical: Applied Mechanics and Materials (Volume 626)
• Pages: 111-117
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.626.111
• Online since: August 2014
• Authors: S.G. Amrutha*, K. Ramesh
• Keywords: Maximum Energy Extraction, NFLC, SEIG, Voltage Regulation, WECS

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