Scheduling wind power flexible electricity contracts
Autor: | Xiuli Wang, Zechen Wu, Benhui Gong, Yue Zhang, Yunpeng Xiao, Xiaofei Xie, Zece Zhang |
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Rok vydání: | 2016 |
Předmět: |
Spot contract
Wind power Operations research business.industry Computer science 020209 energy Scheduling (production processes) 02 engineering and technology Grid parity Stochastic programming Autoregressive model 0202 electrical engineering electronic engineering information engineering Electricity market Electricity business Physics::Atmospheric and Oceanic Physics |
Zdroj: | 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). |
DOI: | 10.1109/appeec.2016.7779934 |
Popis: | 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. |
Databáze: | OpenAIRE |
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