Statistical Measure for Risk-seeking Stochastic Wind Power Offering Strategies in Electricity Markets

被引:0
作者
Dongliang Xiao [1 ]
Haoyong Chen [1 ]
Chun Wei [2 ]
Xiaoqing Bai [3 ]
机构
[1] School of Electric Power, South China University of Technology
[2] College of Information Engineering, Zhejiang University of Technology
[3] School of Electrical Engineering, Guangxi University
关键词
D O I
暂无
中图分类号
F426.61 []; TM73 [电力系统的调度、管理、通信];
学科分类号
020205 ; 0202 ; 080802 ;
摘要
This study proposes a statistical measure and a stochastic optimization model for generating risk-seeking wind power offering strategies in electricity markets. Inspired by the value at risk(VaR) to quantify risks in the worst-case scenarios of a profit distribution, a statistical measure is proposed to quantify potential high profits in the best-case scenarios of a profit distribution,which is referred to as value at best(VaB)in the best-case scenarios. Then, a stochastic optimization model based on VaB is developed for a risk-seeking wind power producer, which is formulated as a mixed-integer linear programming problem. By adjusting the parameters in the proposed model, the wind power producer can flexibly manage the potential high profits in the best-case scenarios from the probabilistic perspective. Finally, the proposed statistical measure and riskseeking stochastic optimization model are verified through case studies.
引用
收藏
页码:1437 / 1442
页数:6
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