Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)

Mahaletchumi, Morgan and Nor Rul Hasma, Abdullah and M. H., Sulaiman and Mahfuzah, Mustafa and Rosdiyana, Samad (2015) Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m). In: International Conference on Electrical, Control and Computer Engineering (INECCE 2015 , 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)

PDF Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m).pdf Restricted to Repository staff only Download (406kB) | Request a copy

Abstract

This paper discusses about a new approach based on Evolutionary Programming (EP) optimization technique for installation SVC considering multi-contingencies (N-m) which occurred in the power system. The proposed technique determines the optimum sizing in order to reduce the total transmission loss in the system and this would be the objective function of the transmissions system network. In addition, Static Voltage stability Index (SVSI) was used as tool to indicate the location that to be installed into the system. A computer program was written in MATLAB. The design program tested on IEEE 30 Bus-RTS. Finally, comparatives studies made between EP and Artificial Immune System (AIS).

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	Optimal Reactive Power Dispatch (ORPD), Evolutionary Programming (EP), SVSI, Power Loss Minimization, Voltage Stability, Multi-Contingencies (N-m), Static Var Compenstator (SVC).
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	19 Nov 2015 06:29
Last Modified:	11 Apr 2018 01:36
URI:	http://umpir.ump.edu.my/id/eprint/11275
Download Statistic:	View Download Statistics

Actions (login required)

View Item