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Enhancement of cascaded multi-level VSC STATCOM performance using ANN in the presence of faults

Almelian, Mohamad Milood and Izzeldin, I. Mohd and Abu Zaharin, Ahmad and Omran, Mohamed Asghaiyer and Salem, Mohamed and Awang, Jusoh and Sutikno, Tole (2020) Enhancement of cascaded multi-level VSC STATCOM performance using ANN in the presence of faults. International Journal of Power Electronics and Drive System (IJPEDS), 11 (2). pp. 895-906. ISSN 2088-8694 (print); 2088-8694 (online)

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A system can be disturbed in terms of stability when connected to a number of loads at the distribution ends or when subjected to faults. To reverse such systems to a stable state, FACTS devices such as static synchronous compensator (STATCOM) are used. In this paper, a cascaded multi-level voltage source converter (VSC) STATCOM was designed and implemented with a novel space vector pulse width modulation (SVPWM) scheme. Artificial neural network (ANN) controller was used instead of instead of Proportional-Integral (PI) controller in the proposed scheme to improve the response time (RT) and performance of STATCOM in terms of power factor (PF) and voltage amplitude during periods of voltage sag. During the implementation, two fault sources (single-line-to-ground (SLG) and line-to- line (LL) faults) were used to create voltage sag. STATCOM was subjected to performance evaluation in the presence of these disturbances via MATLAB simulation in IEEE 3-bus system. The outcome of the simulation studies showed the ANN controller to perform better than PI as it was able to rapidly recover voltage value (<1 cycle) with unity PF.

Item Type: Article
Additional Information: Indexed by scopus
Uncontrolled Keywords: ANN controller; Cascaded H-bridge three-level; VSC STATCOM; PI controller SVPWM technique; Voltage sag
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 24 Nov 2020 05:01
Last Modified: 24 Nov 2020 05:01
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