Inexact stochastic risk-aversion optimal day-ahead dispatch model for electricity system management with wind power under uncertainty
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- 作者：Ling Jia ; hdjiling@126.com" class="auth_mail" title="E-mail the corresponding author ; Guo-He Huangb ; 1 ; gordon.huang@uregina.ca" class="auth_mail" title="E-mail the corresponding author ; Lu-Cheng Huanga ; 2 ; hlch@bjut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yu-Lei Xiec ; 3 ; xieyulei001@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Dong-Xiao Niud ; 4 ; niudx@126.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Day-ahead market ; Bidding strategy ; Uncertainty ; Stochastic robust programming ; Wind power generation
- 刊名：Energy
- 出版年：2016
- 出版时间：15 August 2016
- 年：2016
- 卷：109
- 期：Complete
- 页码：920-932
- 全文大小：3006 K
文摘
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An inexact two-stage stochastic robust programming model for electricity system with wind power penetration.
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Uncertainties expressed as discrete intervals and probability distributions.
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Demand response program was introduced to adjust the deviation in real-time market.
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Financial penalty for imbalance risk from wind power generation was evaluated.