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

Autor:	H. Chen, M.Y. El-Sharkh, A.A. El-Keib
Rok vydání:	2003
Předmět:	Engineering Mathematical optimization business.industry Optimal cost Fuzzy model Economic dispatch Energy Engineering and Power Technology Fuzzy logic Scheduling (computing) Electric power system Electricity generation Electrical and Electronic Engineering business Evolutionary programming
Zdroj:	Electric Power Systems Research. 67:67-72
ISSN:	0378-7796
Popis:	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 render 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0ff63da0360c60bd4bd2a0cdb6e01adf https://doi.org/10.1016/s0378-7796(03)00076-2 Zobrazit plný text záznamu Full Text from ScienceDirect