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Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
R. Anandhakumar
S. Subramanian
S. Ganesan

R Anandhakumar, S Subramanian and S Ganesan. Article:Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market. International Journal of Computer Applications 31(9):44-53, October 2011. Full text available. BibTeX

	author = {R. Anandhakumar and S. Subramanian and S. Ganesan},
	title = {Article:Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {31},
	number = {9},
	pages = {44-53},
	month = {October},
	note = {Full text available}


This paper proposes an Artificial Bee Colony (ABC) algorithm to Generator Maintenance Scheduling (GMS) in competitive market. In the regulated market the problem of generating optimal maintenance schedules of generating units for the purpose of maximizing economic benefits and improving reliable operation of a power system, subject to satisfying system constraints. In case of deregulated market, the self-governing generation company GENCO prepares GMS aims to maximize their revenue with less consideration on reliability. The Independent System Operator (ISO) receives the maintenance schedules from GENCO and compares with ISO schedules for sanction. This paper proposes an ABC algorithm to solve the GMS in GENCO to maximize their revenue without considering expected renewal cost. Numerical examples on 4 and 32 unit power producers are utilized to demonstrate the effectiveness of the proposed ABC algorithm.


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