The goal of optimal generator maintenance scheduling is to evolve optimal preventive maintenance schedule of generating units for economical and reliable operation of a power system while satisfying system load demand and crew constraints. In this paper, the differential evolution (DE), an evolutionary computation algorithm that utilizes the differential information to guide its further search, is applied to effectively solve the generator maintenance scheduling (GMS) optimization problem. The proposed method can handle mixed integer discrete continuous optimization problems. Results are presented with the DE algorithm on two different case studies for Nigerian power system.
Y. Yare and G. K. Venayagamoorthy, "A Differential Evolution Approach to Optimal Generator Maintenance Scheduling of the Nigerian Power System," Proceedings of the IEEE Power Electronics Specialists Conference, 2008. PESC 2008, Institute of Electrical and Electronics Engineers (IEEE), Jul 2008.
The definitive version is available at https://doi.org/10.1109/PES.2008.4596664
IEEE Power Electronics Specialists Conference, 2008. PESC 2008
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Nigerian Power System; Differential Evolution; Discrete Optimization; Generator Maintenance; Optimal Scheduling
Article - Conference proceedings
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