Title :
A differential evolution approach to optimal generator maintenance scheduling of the nigerian power system
Author :
Yare, Y. ; Venayagamoorthy, G.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Rolla, MO
Abstract :
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.
Keywords :
electric generators; electric power generation; evolutionary computation; optimisation; scheduling; Nigerian power system; differential evolution approach; evolutionary computation algorithm; generator maintenance scheduling optimization problem; mixed integer discrete continuous optimization problems; optimal generator maintenance scheduling; system load demand; Evolutionary computation; Optimization methods; Power generation; Power generation economics; Power system economics; Power system reliability; Power systems; Preventive maintenance; Processor scheduling; Scheduling algorithm; Differential evolution; Nigerian power system; discrete optimization; generator maintenance; optimal scheduling;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596664
