Browse by author
Lookup NU author(s): Dr Thillainathan Logenthiran
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Profit based unit commitment problem (PBUC) from power system domain is a high-dimensional, mixed variables and complex problem due to its combinatorial nature. Many optimization techniques for solving PBUC exist in the literature. However, they are either parameter sensitive or computationally expensive. The quality of PBUC solution is important for a power generating company (GENCO) because this solution would be the basis for a good bidding strategy in the competitive deregulated power market. In this paper, the thermal generators of a GENCO is modeled as a system of intelligent agents in order to generate the best profit solution. A modeling for multi-agents is done by decomposing PBUC problem so that the profit maximization can be distributed among the agents. Six communication and negotiation stages are developed for agents that can explore the possibilities of profit maximization while respecting PBUC problem constraints. The proposed multi-agent modeling is tested for different systems having 10–100 thermal generators considering a day ahead scheduling. The results demonstrate the superiority of proposed multi-agent modeling for PBUC over the benchmark optimization techniques for generating the best profit solutions in substantially smaller computation time.
Author(s): Sharma D, Trivedi A, Srinivasan D, Logenthiran T
Publication type: Article
Publication status: Published
Journal: Applied Soft Computing
Year: 2013
Volume: 13
Issue: 8
Pages: 3751-3761
Print publication date: 17/04/2013
ISSN (print): 1568-4946
ISSN (electronic): 1872-9681
Publisher: Elsevier BV
URL: http://dx.doi.org/10.1016/j.asoc.2013.04.001
DOI: 10.1016/j.asoc.2013.04.001
Altmetrics provided by Altmetric
