Optimisation of the bidding strategy for wind power trading

被引：0
|
作者：
Hamilton, David I. [1 ]
McMillan, David [1 ]
Catterson, Victoria M. [1 ]
机构：
[1] Univ Strathclyde, Elect & Elect Engn, Glasgow, Lanark, Scotland
来源：
2015 IEEE EINDHOVEN POWERTECH | 2015年
关键词：
Wind energy; energy markets; quantile regression;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The optimal bidding strategy for trading electricity from a wind farm is not always clear. This paper outlines a method for predicting whether the market will be long or short and uses this information to select the best quantile regression for the current market conditions. Results from a simulation with a 2.5MW turbine produced a savings of over (sic) 1000 over a three month period compared to using only a P50 forecaster.
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页数：5
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