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Computational intelligence based techniques multiple FACTS device installation for power system security

Jumaat, S. A. and Musirin, I. and Othman, M. M. and Moklis, H. (2012) Computational intelligence based techniques multiple FACTS device installation for power system security. International Review of Electrical Engineering (I.R.E.E.). ISSN 18276679

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One of the stressed the power system is increased loading condition, often lead to the system is no longer remaining in security operating regions. When the power system is subjected to any kind of time delay and unavailability of control, system may become unstable and very insecure situation for power system. Under this situation, the main objective to apply control action to get the system back into the security operating regions. One of the options used of Flexible AC Transmission System (FACTS). This paper presents a study on optimal location and sizing of multiple FACTS device based on Particle Swarm Optimization for minimization of transmission losses, voltage profile improvement, which takes into account the cost of installation. For this study, Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) are chosen as the compensation device. Validation through the application on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. In simulation, results are compared with those obtained from Evolutionary Programming (EP) method in the attempt to highlight its merit.

Item Type: Article
Uncontrolled Keywords: FACTS device; optimal location; optimal sizing; power system security; particle swarm optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Power Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 Aug 2018 03:37
Last Modified: 13 Aug 2018 03:37
URI: http://eprints.uthm.edu.my/id/eprint/9422
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