Hydro-thermal market model based on price decoupling and local supply/demand curves

被引:0
|
作者
Mo, Birger [1 ]
Henden, Arild Lote [1 ]
Helseth, Arild [1 ]
机构
[1] SINTEF Energy Res, Trondheim, Norway
来源
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM) | 2016年
关键词
Long-term hydro-thermal scheduling; price forecasting; stochastic optimization;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper describes a new approach for optimization and simulation of hydro-thermal systems. The approach mimics how the market is operated and utilizes the same tools as the market players. One of the major complexities in hydrothermal optimization models are caused by the number of hydro storages. The proposed model solves this multidimensionality problem iteratively using price decoupling and a standard hydro scheduling model to schedule each watercourse individually. Each iteration comprises a market simulation phase that simulates new prices based on supply and demand curves and a hydro scheduling phase that calculates new supply curves for the hydro. The model is tested on a hydrothermal system that consists of three large Norwegian watercourses and includes other market options similar to the Nord Pool market.
引用
收藏
页数:5
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