Indian Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access

Artificial Bee Colony Algorithm Based Congestion Management in Restructured Power System


Affiliations
1 School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, India
2 Department of Electrical Engineering, Anna University, Tiruchirapalli, India
 

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.
User

Abstract Views: 224

PDF Views: 0




  • Artificial Bee Colony Algorithm Based Congestion Management in Restructured Power System

Abstract Views: 224  |  PDF Views: 0

Authors

R. Saranya
School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, India
K. Balamurugan
School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, India
M. Karuppasamy
Department of Electrical Engineering, Anna University, Tiruchirapalli, India

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.



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8iS7%2F74792