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
R. Saranya1* , K. Balamurugan1 and M. Karuppasamypandiyan2
1 School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, India; [email protected]
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
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