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《Dam Observation and Geotechnical Tests》 2004-02
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Wu Shiyong, Ma Guangwen, Guo Xiaming (Sichuan University, Chengdu 610065, China)  
This paper is concerned with the daily optimal operation of hydropower plant on a competitive power market. A liner moving mean auto-regression model is developed to forecast the system marginal price. Based on it, a daily optimal operation model with the genetic algorithm is presented to generate the daily generation schedule for the plant. The methodology has been tested at a typical plant in Sichuan, and the results show that the daily optimal operation schedule of the hydropower plant based on the forecasted marginal price can produce considerable economic benefits on a competitive electricity market.
【CateGory Index】: TV737
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Chinese Journal Full-text Database 1 Hits
1 TU Qiyu,MEI Yadong(Wuhan University,Wuhan 430072,China);Review on the Application of Genetic Algorithm to Reservoir(s) Optimal Operation[J];Hydropower Automation and Dam Monitoring;2008-01
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1 Zhang Yushan, Li Jiqing, Ji Changming, Wang Liping (Wuhan University, Wuhan 430072, China);DISCUSSION ON THE OPERATION MODE OF HYDROPOWER IN ELECTRICITY MARKET[J];Dam Observation and Geotechnical Tests;2003-05
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