@inproceedings{96a9bd45dbe24ea683d948dae0014fc8,
title = "Scheduling wind power flexible electricity contracts",
abstract = "Wind power producers have begun to participate in electricity market in some developed countries. This paper presents a model for wind power flexible electricity contract (WPFEC) and focuses on the problem of contract scheduling. Stochastic dynamic programming approach is described for sequential decision making under uncertainty that allows wind power producers to maximize their revenue. Autoregressive moving average model and autoregressive model is used to generate scenarios of wind output and spot price. The results of a case study illustrate the efficiency of proposed algorithm and show that a well scheduled wind power flexible electricity contract can help wind power producer obtain maximum expected profit and reduce financial risk.",
keywords = "electricity market, flexible electricity contract, stochastic dynamic programming, stochastic optimization, wind power trading",
author = "Zechen Wu and Xiuli Wang and Zece Zhang and Yunpeng Xiao and Gong Benhui and Zhang Yue and Xie Xiaofei",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 ; Conference date: 25-10-2016 Through 28-10-2016",
year = "2016",
month = dec,
day = "9",
doi = "10.1109/APPEEC.2016.7779934",
language = "英语",
series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",
publisher = "IEEE Computer Society",
pages = "2309--2313",
booktitle = "IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference",
}