Generator maintenance management using bio‐inspired search algorithm
International Journal of Energy Sector Management
ISSN: 1750-6220
Article publication date: 22 November 2011
Abstract
Purpose
The purpose of this paper is to solve the maintenance management problems of generating units under the reliability criterion.
Design/methodology/approach
The problem has been formulated as a combinatorial optimization task, with explicit and simultaneous treatment of multiple objectives: maximization of reliability, minimization of fuel costs and minimization of constraint violations. This paper formulates a general generator maintenance management (GMM) problem using a reliability criterion and a novel bio‐inspired search technique, namely, artificial bee colony (ABC) algorithm is applied to determine the optimal generator maintenance schedule.
Findings
A novel meta‐heuristic search technique based algorithm has been developed to determine the optimal maintenance schedule of generating units to improve the system reliability.
Originality/value
The contribution of the paper is that an efficient bio‐inspired algorithm based solution technique has been developed to solve a very important problem for a power utility, i.e. the economical and reliable operation of a power system.
Keywords
Citation
Subramanian, S., Anandhakumar, R. and Ganesan, S. (2011), "Generator maintenance management using bio‐inspired search algorithm", International Journal of Energy Sector Management, Vol. 5 No. 4, pp. 522-544. https://doi.org/10.1108/17506221111186350
Publisher
:Emerald Group Publishing Limited
Copyright © 2011, Emerald Group Publishing Limited