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Optimal Generator Maintenance Scheduling Using a Hybrid Metaheuristic Approach

Department of Electrical Engineering, University of Science and Technology Houari, Boumediene, BP 32 El Alia. Bab Ezzouar, Algiers, Algeria

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H. Labdelaoui

Department of Instrumentation and Control, University of Science and Technology Houari Boumediene, BP 32 El Alia. Bab Ezzouar, Algiers, Algeria

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https://doi.org/10.1142/S146902681550011XCited by:7 (Source: Crossref)

Abstract

This paper presents an optimal approach for solving the generator maintenance scheduling (GMS) problem using a hybrid metaheuristic-based method. The GMS problem is formulated mathematically as a minimization problem of an aggregated objective function that handles both the reliability performance and the constraints violations. A new optimization approach, based on simulated annealing (SA) and ant colony optimization (ACO) is proposed to solve this problem. The optimization results for a 21-unit test system show that the proposed hybrid approach is more efficient than the standard SA and ACO methods and also genetic algorithms (GAs). It is also shown that the proposed approach is less sensitive to the variations of some control parameters and is more reliable than the other approaches.

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