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

Qian-wei ZHENG, Ju LIU, Meng-lin ZHANG, Ling-ling LE, Xiao-meng AI, Dong-jun YANG, Jin-yu WEN

Abstract


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.

Keywords


Transmission network planning, Demand response, N-1 security criterion, Extreme scenario method, Mixed integer linear programming


DOI
10.12783/dteees/gmee2018/27554

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