Day-ahead stochastic electricity market clearing considering renewable power uncertainty

3rd International Conference on Energy Engineering and Environmental Protection

能源学;生态环境科学

Tang, Chenghui^1 ; Zhang, Fan^1 ; Hu, Yuan^1

State Grid Energy Research Institute CO., LTD., Beijing

102209, China^1

关键词: Case-studies;    Conventional power plants;    Day-ahead;    Day-ahead electricity market;    Electricity market development;    Renewable Power;    Social cost;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/227/2/022020/pdf
DOI  :  10.1088/1755-1315/227/2/022020

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The electricity market development in China faces a new background of increasing proportion of renewable power. Different from conventional power plants, the output of renewable power plants usually has strong uncertainty, which is a challenge for electricity market clearing strategy. This paper proposes a day-ahead electricity market clearing method that considers the uncertainty of renewable power sources, which is modelled based on the truncated versatile distribution. The scheduled power of conventional power plants and renewable power plants is determined by minimizing the social cost. Case studies show that the proposed method can greatly reduce the total social cost.