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Genetic Algorithm based Congestion Management by Employing Multi-type FACTS in a Deregulated Environment

Author(s):

A.Priya , P.S.R.Rengasamy College of Engineering for Women; Dr.K.Punitha , P.S.R.Rengasamy College of Engineering for Women; S.Gunasekaran, P.S.R.Rengasamy College of Engineering for Women

Keywords:

Deregulation, Congestion Management, Generator Rescheduling, Flexible AC Transmission System (FACTS) devices, Thyristor Controlled Series Capacitor (TCSC), Static VAR Compensator (SVC), Voltage Stability, Genetic Algorithm

Abstract

In a deregulated environment, it may not always possible to deliver a contracted power due to the violation of system operating limits, it creates congestion in a transmission system. Flexible AC transmission systems (FACTS) devices can be an alternative to reduce the flows in heavily loaded lines resulting in an increased load ability, low system loss, improved stability and reduced cost of production. In this work, Multi objective congestion management is proposed. The objectives are to minimize the transmission losses, performance index, congestion cost and to maximize the voltage stability margin. Based on the real power performance index sensitivity method, the locations for the FACTS device are chosen. The voltage stability margin is increased using Voltage Stability Index (VSI). Genetic Algorithm (GA) gives a global optimal solution for a congestion management problem which is based on the nature of chromosomes. This has been performed on an IEEE 30 bus test system in MATLAB environment and the total congestion cost is evaluated by the genetic algorithm optimization technique. Finally, the congestion cost is compared by generator rescheduling method and the application of FACTS devices in the transmission line.

Other Details

Paper ID: IJSRDV3I40541
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 1048-1053

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