Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market

Yixin Huang, Xinyi Liu, Zhi Zhang, Li Yang, Zhenzhi Lin, Yangqing Dan, Ke Sun, Zhou Lan and Keping Zhu
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Yixin Huang: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Xinyi Liu: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Zhi Zhang: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Li Yang: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Zhenzhi Lin: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Yangqing Dan: State Grid Zhejiang Economic Research Institute, Hangzhou 310016, China
Ke Sun: State Grid Zhejiang Economic Research Institute, Hangzhou 310016, China
Zhou Lan: State Grid Zhejiang Economic Research Institute, Hangzhou 310016, China
Keping Zhu: State Grid Zhejiang Economic Research Institute, Hangzhou 310016, China

Energies, 2020, vol. 13, issue 18, 1-22

Abstract: The uncertainty of generation and load increases in the transmission network in the power market. Considering the transmission congestion risk caused by various uncertainties of the transmission network, the optimal operation strategies of the transmission network under various operational scenarios are decided, aiming for the maximum of social benefit for the evaluation of the degree of scenario congestion. Then, a screening method for major congestion scenario is proposed based on the shadow price theory. With the goal of maximizing the difference between the social benefits and the investment and maintenance costs of transmission lines under major congestion scenarios, a multi-stage transmission network planning model based on major congestion scenarios is proposed to determine the configuration of transmission lines in each planning stage. In this paper, the multi-stage transmission network planning is a mixed integer linear programming problem. The DC power flow model and the commercial optimization software CPLEX are applied to solve the problem to obtain the planning scheme. The improved six-node Garver power system and the simplified 25-node power system of Zhejiang Province, China are used to verify the effectiveness of the proposed multi-stage planning model.

Keywords: multi-stage transmission network planning; power market; transmission congestion; scenario screening (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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