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Development of a multi-layer genetic algorithm for maintenance scheduling in power systems

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1 Author(s)
Negnevitsky, M. ; CSIRO Marine Res., Hobart, TAS

This paper examines a real-life maintenance scheduling problem in a power system. Due to the large search space, it proved difficult to reach an optimal solution using a traditional genetic algorithm (GA). In order to improve the GA performance, the problem was divided into several layers, each layer representing a part of the initial problem. A modified GA was used to built sub-schedules, satisfying specified criteria. The sub-schedules were used as single genes to built up a complete schedule.

Published in:

Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES

Date of Conference:

21-24 April 2008