Artificial Bee Colony Algorithm Based Congestion Management in Restructured Power System

R  Saranya; K  Balamurugan  and M  Karuppasamypandiyan

doi:10.17485/ijst/2015/v8iS7/69049

Article

Artificial Bee Colony Algorithm Based Congestion Management in Restructured Power System

VIEWS 846
PDF 218

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8iS7/69049

Year: 2015, Volume: 8, Issue: Supplementary 7, Pages: 1-8

Original Article

Artificial Bee Colony Algorithm Based Congestion Management in Restructured Power System

R. Saranya^1* , K. Balamurugan¹ and M. Karuppasamypandiyan²

¹School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, India; [email protected]
² Department of Electrical Engineering, Anna University, Tiruchirapalli, India

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Congestion Management is major issue in deregulated environment. The goal of congestion management is to alleviate overloads by generator rescheduling and/or load curtailments. Here, congestion is relieved by real power rescheduling employing Artificial Bee Colony algorithm. It comprises of two stages. First stage, Generator Sensitivity Factors (GSF) for the congested line is evaluated. Then, Artificial Bee Colony algorithm is used in the second stage for obtaining minimum values of generator power outputs after rescheduling. The efficacy of this algorithm has been tested on IEEE-30 bus system and four test cases are taken here and programming is developed using MATLAB software.
Keywords: Congestion Management, Contingency Analysis, Deregulation, Generator Sensitivity Factor