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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

Page(s):
1 - 5
E-ISBN :
978-1-4244-1904-3
Print ISBN:
978-1-4244-1903-6
INSPEC Accession Number:
10014075
Conference Location :
Chicago, IL
Digital Object Identifier :
10.1109/TDC.2008.4517048

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