Hydro generation scheduling for deregulated and competitive operation

TitleHydro generation scheduling for deregulated and competitive operation
Publication TypeConference Paper
Year of Publication2002
AuthorsCong, Y. L., T. Niimura, and A. Mithani
Conference NamePower System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Pagination632 - 635 vol.1
Date Publishedoct.
Keywordscompetitive electricity industry environment, competitive operation, costing, deregulated electricity industry environment, deregulated operation, fuzzy regression model, fuzzy set theory, hydro generation scheduling, hydro-electricity generation, hydroelectric power, Lagrange relaxation, optimal scheduling problem, power generation economics, power generation scheduling, short-term optimal scheduling, statistical analysis, total cost, total revenue, uncertain market prices estimation, unit commitment

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.


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