Volume 3 Number 6 (Dec. 2011)
Home > Archive > 2011 > Volume 3 Number 6 (Dec. 2011) >
IJCEE 2011 Vol.3(6): 812-819 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2011.V3.425

Modified ABC Algorithm for Generator Maintenance Scheduling

R. Anandhakumar, S. Subramanian, and S. Ganesan

Abstract—The goal of an optimal Generator Maintenance Scheduling (GMS) is solved in order to generate optimal preventive maintenance schedule of generating units for economical and reliable operation of a power system while satisfying system load demand and crew constraints. In this paper a Modified Artificial Bee Colony (MABC) algorithm is applied to solve the GMS optimization problem efficiently. The MABC algorithm is proposed in order to handle the system constraints effectively and obtain the better maintenance schedules. The efficacy of the proposed algorithm is illustrated with 13 generating units and 21 generating units with two different load demands. The simulation results are compared with Discrete Particle Swarm Optimization (DPSO), Modified Discrete Particle Swarm Optimization (MDPSO) and Multiple Swarms - Modified discrete Particle Swarm Optimization (MSMDPSO) which is also population based heuristic search algorithms. From the numerical results, it is found that the MABC based approach is able to provide a better solution for GMS.

Index Terms—Generator maintenance scheduling, optimal scheduling, modified artificial bee colony (MABC) algorithm, meta – heuristic algorithm.

The authors are with Department of Electrical Engineering, Annamalai University, Annamalainagar, Tamilnadu, India. (e-mail:anand_r1979@yahoo.com,dr_smani@yahoo.co.in,ganeshshriraj@gmail.com).

Cite: R. Anandhakumar, S. Subramanian, and S. Ganesan, "Modified ABC Algorithm for Generator Maintenance Scheduling," International Journal of Computer and Electrical Engineering vol. 3, no. 6, pp. 812-819, 2011.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

What's New

  • Jun 03, 2019 News!

    IJCEE Vol. 9, No. 2 - Vol. 10, No. 2 have been indexed by EI (Inspec) Inspec, created by the Institution of Engineering and Tech.!   [Click]

  • May 13, 2020 News!

    IJCEE Vol 12, No 2 is available online now   [Click]

  • Mar 04, 2020 News!

    IJCEE Vol 12, No 1 is available online now   [Click]

  • Dec 11, 2019 News!

    The dois of published papers in Vol 11, No 4 have been validated by Crossref

  • Oct 11, 2019 News!

    IJCEE Vol 11, No 4 is available online now   [Click]

  • Read more>>