Security-Constrained Unit Commitment with Optimal Robust Confidence Levels

被引:0
作者
Feng, Changsen [1 ]
Ni, Linna [1 ]
Wen, Fushuan [1 ]
Li, Zhiyi [2 ]
Shahidehpour, Mohammad [2 ]
Xue, Yusheng [3 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] IIT, ECE Dept, Chicago, IL 60616 USA
[3] State Grid Elect Power Res Inst, Nanjing 210003, Peoples R China
来源
2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
Benders decomposition; robustness; robust confidence level; unit commitment; wind power; OPTIMIZATION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Due to the increasing penetration of wind power, the fluctuation and forecasting error have posed significant challenges to dispatchers for secure and economic operation of the power system concerned. This paper proposes a model for attaining a robust solution to the security-constrained unit commitment (SCUC) problems based on scenarios. Different from most robust optimization models, the model in this paper guarantees a robust solution with the optimal confidence level, and some measures such as wind power curtailment and load shed arc considered. The proposed model provides theoretical basis to help operators strike a balance between economic performance and robustness. The proposed model is solved by Benders decomposition. The effectiveness of the proposed model is verified by results of numerical cases on the modified IEEE 39, 118-bus system.
引用
收藏
页数:5
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