UMP Institutional Repository

Enhancing the performance of cascaded three-level VSC STATCOM by ANN controller with SVPWM integegration

Almelian, Mohamad Milood and Izzeldin, I. Mohd and Abu Zaharin, Ahmad and Salem, Mohamed and Omran, Mohamed Asghaiyer and Awang, Jusoh and Sutikno, Tole (2019) Enhancing the performance of cascaded three-level VSC STATCOM by ANN controller with SVPWM integegration. International Journal of Electrical and Computer Engineering (IJECE), 9 (5). pp. 3880-3890. ISSN 2088-8708

[img]
Preview
Pdf
Enhancing the performance of cascaded three-level.pdf
Available under License Creative Commons Attribution Non-commercial.

Download (1MB) | Preview

Abstract

This article presents a cascaded three-level voltage source converter (VSC) based STATCOM employing an artificial neuron network (ANN) controller with a new simple circuit of space vector pulse width modulation (SVPWM) technique. The main aim of utilizing ANN controller and SVPWM technique is to minimize response time (RT) of STATCOM and improve its performance regard to PF amplitude, and total harmonic distortion (THD) of VSC output current during the period of lagging/leading PF loads (inductive/capacitive loads). The performance of STATCOM is tested using MATLAB/SIMULINK in IEEE 3-bus system. The simulation results clearly proved that the STATCOM with intelligent controller is more efficient compared to a conventional controller (PI controller), where ANN enables the voltage and current to be in the same phase rapidly (during 1.5 cycles) with THD less than 5%.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: ANN controller; Cascaded H-bridge three-level; VSC STATCOM; PI controller; Power factor ; SVPWM technique
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: 10 Dec 2019 03:04
Last Modified: 10 Dec 2019 03:04
URI: http://umpir.ump.edu.my/id/eprint/26657
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item