Robust Transmission Expansion Planning Incorporating Demand Response and N-1 Contingency

被引：0
作者：
Zheng, Qian-wei [1 ]
Liu, Ju [2 ]
Zhang, Meng-lin [1 ]
Le, Ling-ling [1 ]
Ai, Xiao-meng [1 ]
Yang, Dong-jun [2 ]
Wen, Jin-yu [1 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Hubei Elect Power Secur & High Efficiency Key Lab, Wuhan 430074, Hubei, Peoples R China
[2] State Grid Hubei Elect Power Co Ltd, Econ Res Inst, Wuhan 430074, Hubei, Peoples R China
来源：
2018 4TH INTERNATIONAL CONFERENCE ON GREEN MATERIALS AND ENVIRONMENTAL ENGINEERING (GMEE 2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
Transmission network planning; Demand response; N-1 security criterion; Extreme scenario method; Mixed integer linear programming; GENERATION; RESOURCES;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Demand response is becoming a rational option to guarantee system reliability and reduce the investment. To tackle the possible overload caused by wind power uncertainty and N-1 contingency, a stochastic mixed integer linear programming model is proposed first. In addition, extreme scenario method is utilized to guarantee the robustness of planning scheme. The proposed method is validated in the modified Garver 6-bus system with practical scenario input. The simulation results demonstrate that the demand response helps to relieve the power flow overload and reducing transmission line investment.
引用
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页数：9
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