文献类型：期刊文献

英文题名：Risk-based bidding and offering strategies of the compressed air energy storage using downside risk constraints

作者：Xie, Dingnan[1];Guo, Qun[2];Liang, Xiaodan[3];Jermsittiparsert, Kittisak[4,5,6]

第一作者：Xie, Dingnan

通讯作者：Guo, Q[1];Jermsittiparsert, K[2]

机构：[1]Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China;[2]Hubei Univ Econ, Sch Low Carbon Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan 430072, Peoples R China;[3]Tianjin Polytech Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China;[4]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[5]Duy Tan Univ, Fac Humanities & Social Sci, Da Nang 550000, Vietnam;[6]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China

通讯机构：[1]corresponding author), Hubei Univ Econ, Sch Low Carbon Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan 430072, Peoples R China;[2]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.

年份：2021

卷号：302

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20211610223672);Scopus(收录号：2-s2.0-85104147538);WOS:【SCI-EXPANDED(收录号:WOS:000647766700003)】；

语种：英文

外文关键词：Compressed air energy storage; Optimal bidding and offering curves; Risk management; Downside risk constraints method; Zero-risk strategy; Risk-averse and risk-neutral strategies

摘要：The compressed air energy storage (CAES) can be participated independently in the power markets to buy and sell the electricity. Therefore, the electricity price's uncertainty is a critical challenge for CAES operators to contribute in the day-ahead market. In this paper, stochastic optimization is modeled for a CAES to model the uncertain parameters and obtain the bid-offer curves to contribute to the energy markets. The risk-based bid-offer curves, including the risk-neutral and risk-averse strategies, are derived from the new risk-measure called downside risk constraints (DRC) method. The DRC method is used along with the stochastic problems to manage the uncertain parameters' imposed risks. The proposed DRC's main advantage is introducing a scenario independent strategy in the stochastic problems with equal risk over all scenarios. In other words, by using the DRC in the stochastic problems, the CAES operator can obtain a strategy that has the same profit in all scenarios. As represents the results, the expected profit of the stochastic problem is $ 9585. By implementing the DRC, the profit of the proposed strategy by DRC is $ 8845, which shows a 7.2% fall in the expected profit while the risk-in-profit is reduced by 100%. (c) 2021 Elsevier Ltd. All rights reserved.