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An ant colony optimization solution to the integrated generation and transmission maintenance scheduling problem

P. S. GEORGILAKIS1,* , P. G. VERNADOS2, C. KARYTSAS3

Affiliation

  1. Department of Production Engineering & Management, Technical University of Crete, GR-73100, Chania, Greece
  2. Technological Educational Institute of Piraeus, Department of Electrical Engineering, 250 Petrou Ralli and Thivon str., GR-12244, Athens, Greece
  3. Centre for Renewable Energy Sources, 19th Km Marathon Avenue, GR-19009, Athens, Greece

Abstract

The integrated maintenance scheduling considers transmission line maintenance scheduling in generation maintenance scheduling. The inclusion of network constraints increases the complexity of the above scheduling problem. Ant colony optimization (ACO) is a metaheuristic in which a colony of artificial ants cooperate in finding good solutions to difficult optimization problems. This paper proposes an ant colony optimization-based approach to the unified maintenance scheduling problem of power generation and transmission systems. Results from the application of the proposed method on the IEEE 30 bus system demonstrate the feasibility and practicality of this approach..

Keywords

Power Systems, Generation maintenance scheduling, Transmission maintenance scheduling, Ant colony optimization.

Submitted at: March 13, 2008
Accepted at: May 14, 2008

Citation

P. S. GEORGILAKIS, P. G. VERNADOS, C. KARYTSAS, An ant colony optimization solution to the integrated generation and transmission maintenance scheduling problem, Journal of Optoelectronics and Advanced Materials Vol. 10, Iss. 5, pp. 1246-1250 (2008)