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Karuppasamy, M.
- Artificial Bee Colony Algorithm Based Congestion Management in Restructured Power System
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Authors
Affiliations
1 School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, IN
2 Department of Electrical Engineering, Anna University, Tiruchirapalli, IN
1 School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, IN
2 Department of Electrical Engineering, Anna University, Tiruchirapalli, IN
Source
Indian Journal of Science and Technology, Vol 8, No S7 (2015), Pagination: 171-178Abstract
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.- Eminence of Heavy Metal Accumulation in Fishes and Crustaceans from the Gulf of Khambhat, India
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PDF Views:88
Authors
J. Prince Prakash Jebakumar
1,
G. Nandhagopal
1,
S. Sundradarajan
1,
M. Karuppasamy
1,
S. Ragumaran
1
Affiliations
1 National Institute of Ocean Technology, Tambaram–Velachery Main Road, Narayanapuram, Palikaranai, Chennai 600 100, IN
1 National Institute of Ocean Technology, Tambaram–Velachery Main Road, Narayanapuram, Palikaranai, Chennai 600 100, IN