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

fYear

2008

fDate

20-24 July 2008

Firstpage

1

Lastpage

8

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE

Conference_Location

Pittsburgh, PA

ISSN

1932-5517

Print_ISBN

978-1-4244-1905-0

Electronic_ISBN

1932-5517

Type

conf

DOI

10.1109/PES.2008.4596664

Filename

4596664