| 基于边际电价预测的水电厂日优化运行 |
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| 引用本文： | 吴世勇,马光文,过夏明.基于边际电价预测的水电厂日优化运行[J].水电自动化与大坝监测,2004,28(2):10-12. |
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| 作者姓名： | 吴世勇 马光文 过夏明 |
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| 作者单位： | 四川大学水电学院,四川省成都市,610065 |
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| 摘 要： | 研究竞价上网环境下的水电厂日优化运行方式，建立了电网边际电价预测的线性移动自回归模型。在此基础上，提出了水电厂日优化运行模型，并采用遗传算法求解。实例计算表明，根据 预测的边际电价制定水电厂日运行方式，能够适应竞价上网的要求，对于提高水电厂效益具有重要的使用价值。
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| 关 键 词： | 电力市场 电价 水电厂 遗传算法 调度 |
| 收稿时间： | 1/1/1900 12:00:00 AM |
| 修稿时间： | 1/1/1900 12:00:00 AM |
DAILY OPTIMAL OPERATION OF HYDROPOWER PLANT BASED ON MARGINAL PRICE FORECASTING |
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| Wu Shiyong,Ma Guangwen,Guo Xiaming.DAILY OPTIMAL OPERATION OF HYDROPOWER PLANT BASED ON MARGINAL PRICE FORECASTING[J].HYDROPOWER AUTOMATION AND DAM MONITORING,2004,28(2):10-12. |
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| Authors: | Wu Shiyong Ma Guangwen Guo Xiaming |
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| Abstract: | 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. |
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| Keywords: | electricity market price hydropower plant genetic algorithm dispatching |
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