Open Access

ARTICLE

Self-Regulated Single-phase Induction Generator for Variable Speed Stand-alone WECS

Mohamed I. Mossad^1,*, Fahd A. banakhr¹, Sherif S. M. Ghoneim², Tarek A. AbdulFattah³, Mohamed Mahmoud Samy⁴

1 Department of Electrical and Electronics Engineering technology, Yanbu Industrial College (YIC), Yanbu, KSA
2 Electrical Engineering Department, College of Engineering, Taif University, Taif, 21944, Saudi Arabia
3 Department of Engineering Physics and Mathematics, Faculty of Engineering, Zagazig University, Zagazig, Egypt
4 Department of Electrical Engineering Faculty of Technology and Education, Beni-Suef University, Beni-Suef, Egypt

* Corresponding Author: Mohamed I. Mossad. Email:

(This article belongs to this Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)

Intelligent Automation & Soft Computing 2021, 28(3), 715-727. https://doi.org/10.32604/iasc.2021.017534

Received 29 January 2021; Accepted 02 March 2021; Issue published 20 April 2021

Abstract

This paper introduces voltage self-regulation of a variable speed single-phase induction generator-based wind energy conversion system (WECS) for stand-alone applications. The idea behind the voltage self-regulation technique proposed in this paper is adjusting the fixed capacitor’s effective value for exciting the single-phase induction generator. This adjustment is performed using an inexpensive Sinusoidal PWM (SPWM) switching circuit to short circuit the capacitor during different periods to make a virtual change of the capacitance value extracted from the fixed capacitor. That optimized fixed capacitor size is firstly determined using harmony search (HS) optimization technique. HS is also used to determine the capacitance value required for voltage self-regulation of single-phase induction generators at different speeds through an optimal PI controller. To test the proposed system’s capability, different changes in the prime mover speed are applied to the rotor of the generator and the system succeeds at regulating the voltage with these speed variations. Moreover, a reduction in the harmonics in the output voltage was attained. The performance is of the HS optimization technique is compare to another optimization technique, particle swarm optimization.

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Keywords

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