UMP Institutional Repository

Improvement of performance and response time of cascaded five-level VSC STATCOM using ANN controller and SVPWM during period of voltage sag

Almelian, Mohamad Milood and Izzeldin, I. Mohd and Abu Zaharin, Ahmad and Omran, Mohamed A. and Muhamad Zahim, Sujod and Elasager, N. M. and Salem, Mohamed (2019) Improvement of performance and response time of cascaded five-level VSC STATCOM using ANN controller and SVPWM during period of voltage sag. In: 5th International Conference on Electrical, Control and Computer Engineering (INECCE 2019), 29-30 July 2019 , Swiss Garden Kuantan. pp. 1-13.. (Unpublished)

[img] Pdf
6. Improvement of performance and response time of cascaded five-level.pdf
Restricted to Repository staff only

Download (548kB) | Request a copy
[img]
Preview
Pdf
6.1 Improvement of performance and response time of cascaded five-level.pdf

Download (93kB) | Preview

Abstract

Power system is an extremely nonlinear system with a number of interconnected loads. When the system is subjected to the faults, the stability of the system will be disturbed. The major problem dealt here is voltage sag. A static synchronous compensator (STATCOM) is one of the FACTS devices which can inject proper reactive current at the point of common coupling (PCC) to compensate voltage sag. A non-linear controller like artificial neural network (ANN) is used with the FACTS devices for better performance. This paper introduces the design of a cascaded 5-level voltage source converter (VSC) STATCOM based on the ANN controller and space vector PWM (SVPWM) technique to nullify the impacts of voltage sag. ANN and SVPWM were employed to enhance the performance and response time (RT) of STATCOM with regard to correction of voltage magnitude and power factor (PF) amplitude during voltage sag period. The performance of STATCOM was analyzed using MATLAB in IEEE 3-bus system with two different types of faults, which are single line to ground (SLG) fault and line to line (LL) fault (both creates voltage sag). The simulation result showed that the ANN-based STATCOM control circuit performed efficiently compared to the PI controller. The ANN controller was able to recover voltage magnitude very quickly (during 0.02 sec) with unity.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Cascaded H-bridge five-level VSC STATCOM; Artificial neural network; SVPWM; Voltage sag
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 23 Dec 2019 07:36
Last Modified: 23 Dec 2019 07:36
URI: http://umpir.ump.edu.my/id/eprint/26555
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item