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Neural Network Based Voltage and Frequency Controller for standalone Wind Power System

Author(s):

MAJUMDAR NIKITA V. , PARUL INSTITUTE OF ENGINEERING & TECHNOLOGY; Asst. Prof. VIKASH VERMA, PARUL INSTITUTE OF ENGINEERING & TECHNOLOGY

Keywords:

Battery energy storage system, isolated asynchronous generator, voltage and frequency controller, wind energy conversion system

Abstract

This paper deals with an artificial neural network based control of the voltage and frequency (VF) of autonomous wind power generation using an isolated asynchronous generator (IAG). The proposed controller has bidirectional active and reactive power flow capability along with battery energy storage system by which it controls the system voltage and frequency with variation of consumer loads and speed of wind. The proposed system is modelled and simulated in MATLAB using Simulink .The proposed controller has additional capability of harmonic elimination and load balancing and hence power quality can be improved.

Other Details

Paper ID: IJSRDV2I9247
Published in: Volume : 2, Issue : 9
Publication Date: 01/12/2014
Page(s): 526-529

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