Optimal maintenance strategies for transmission systems using the Genetic Algorithm

Author

Heo, Jae-Haeng ; Park, Geun-Pyo ; Yoon, Yong Tae ; Park, Jong Keun ; Lee, Sang-Seung

Author_Institution

Sch. of Electr. Eng, Seoul Nat. Univ., Seoul, South Korea

fYear

2010

fDate

19-22 April 2010

Firstpage

1

Lastpage

6

Abstract

Electric power transmission utilities not only decrease their operation costs, but also take opportunities to maximize their profit. While they should operate to meet customer needs for reliability which is one of major concerns of power delivery. Therefore they need to make the maintenance strategies considering the tradeoff between cost and reliability. In this paper, Genetic Algorithm (GA) is used to find optimal maintenance strategies for transmission systems. To consider aged and much different equipment, the equipment state model through modified semi-Markov chain is proposed. Also, the effects of equipment failure on the system are presented in terms of a cost using the DC-Optimal Power Flow (OPF). The results on the IEEE 9-bus system show the optimal maintenance strategy which minimizes operation costs.

Keywords

Aging; Cost function; Electricity supply industry deregulation; Equipment failure; Genetic algorithms; Load flow; Maintenance; Power system modeling; Power system reliability; Power transmission; Equipment State Model; Genetic Algorithm; Modified semi-Markov chain; Reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exposition, 2010 IEEE PES

Conference_Location

New Orleans, LA, USA

Print_ISBN

978-1-4244-6546-0

Type

conf

DOI

10.1109/TDC.2010.5484528

Filename

5484528