Hydro generation scheduling for deregulated and competitive operation

Author

Cong, Y.L. ; Niimura, T. ; Mithani, A.

Author_Institution

Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada

Volume

1

fYear

2002

fDate

13-17 Oct 2002

Firstpage

632

Abstract

In this paper a new approach is presented for short-term optimal scheduling. of large hydro generators under deregulated and competitive electricity industry environment. Fuzzy regression model is applied to estimate the range of uncertain market prices. Optimal scheduling problem is solved by Lagrange relaxation to maximize the difference between the total revenue and the total cost. The proposed approach is tested on a numerical example based on real power system data.

Keywords

costing; fuzzy set theory; hydroelectric power; power generation economics; power generation scheduling; statistical analysis; Lagrange relaxation; competitive electricity industry environment; competitive operation; deregulated electricity industry environment; deregulated operation; fuzzy regression model; hydro generation scheduling; hydro-electricity generation; optimal scheduling problem; short-term optimal scheduling; total cost; total revenue; uncertain market prices estimation; unit commitment; Costs; Electricity supply industry deregulation; Job shop scheduling; Lagrangian functions; Linear regression; Optimal scheduling; Power engineering and energy; Power generation; Power industry; Power system modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on

Print_ISBN

0-7803-7459-2

Type

conf

DOI

10.1109/ICPST.2002.1053619

Filename

1053619