Title: Research of a self-tuning algorithm for industrial micro-grid power conversion

Authors: Jinbang Xu; Zhizhuo Wu; Anwen Shen; Junfeng Chen

Addresses: Department of Control Science & Technology, Huazhong University of Science & Technology, Wuhan, China ' Department of Control Science & Technology, Huazhong University of Science & Technology, Wuhan, China ' Department of Control Science & Technology, Huazhong University of Science & Technology, Wuhan, China ' Department of Control Science & Technology, Huazhong University of Science & Technology, Wuhan, China

Abstract: With more and more attention on the grid current harmonic in recent years, many control schemes of the Pulse Width Modulation Voltage Source Converter (PWM-VSC) have been investigated. Conventional PI controller has limitations in sensitivity subject to load and system parameter variation. Even the stability of the system can be threatened under a large and sudden load change. In this paper, the practical situation of a VSC for industrial Micro Grid (MG) is considered and an Artificial Neural Network (ANN) based control method is employed to solve the problem. Meanwhile, an online parameter tuning algorithm is introduced for its advantage of self-tuning and system character identification. The proposed control scheme is verified through simulation and prototype experiment. The experiment is performed to demonstrate the advantages of the proposed controller under different situations.

Keywords: industrial micro grid; PWM-VSC; ANNs; artificial neural networks; self-tuning algorithm; micro-grid power conversion; voltage source converters; VSC; pulse width modulation; PWM; simulation; ANN based control.

DOI: 10.1504/IJWMC.2014.058874

International Journal of Wireless and Mobile Computing, 2014 Vol.7 No.1, pp.10 - 20

Received: 16 May 2013
Accepted: 10 Jul 2013
Published online: 31 Oct 2014 *

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