Wind power integration studies using a multi-stage stochastic electricity system model

被引：0
|
作者：
Meibom, P. [1 ]
Barth, R. [2 ]
Brand, H. [2 ]
Weber, C. [3 ]
机构：
[1] Risoe Int Lab, Roskilde, Denmark
[2] Univ Stuttgart, Inst Energy Econ, Stuttgart, Germany
[3] Univ Duisburg, Energy Managemen, Essen, Germany
来源：
2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10 | 2007年
关键词：
electricity markets; recourse planning; stochastic optimisation; unit commitment; wind power;
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：
A large share of integrated wind power causes technical and financial impacts on the operation of the existing electricity system due to the fluctuating behaviour and unpredictability of wind power. The presented stochastic electricity market model optimises the unit commitment considering four kinds of electricity markets (e.g. a spot and balancing market) and taking into account the stochastic behaviour of the wind power generation and of the prediction error. It can be used for the evaluation of varying electricity prices and system costs due to wind power integration and for the investigation of integration measures.
引用
收藏
页码：2984 / 2987
页数：4
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