A fuzzy evolutionary programming-based solution methodology for security-constrained generation maintenance scheduling

M.Y. El-Sharkh

doi:10.1016/S0378-7796(03)00076-2

2003-10-01

PRE

M.Y. El-Sharkh

A.A. El-Keib *

H. Chen

DOI：10.1016/S0378-7796(03)00076-2

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摘要

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A traditional mathematical model for maintenance scheduling of power generation systems may give an optimal schedule for a power system with known conditions. A change of the system condition due to uncertainties or sudden changes may tender the resulting optimal schedule unsuitable or inapplicable for the power system under study. This paper presents a fuzzy model and an evolutionary programming-based solution technique for the security-constrained maintenance scheduling (MS) problem of generation systems with uncertainties in the load and fuel and maintenance costs. The proposed technique results are fuzzy optimal cost range that reflects the problem uncertainties. The technique solves a decomposed maintenance model of two interrelated subproblems, namely the maintenance and the security-constrained economic dispatch problem. Test results on the IEEE 30-bus system with six generating units reported in this paper are quite encouraging. (C) 2003 Elsevier Science B.V. All rights reserved.

Keyword:

power systems

optimization

evolutionary programming

maintenance scheduling

fuzzy modeling