Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

doi:10.35833/MPCE.2020.000768

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Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

DOI:

10.35833/MPCE.2020.000768

Author:

Weilun Wang ^¹
Weilun Wang
the Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250002, China
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Mingqiang Wang ^¹
Mingqiang Wang
the Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250002, China
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Xueshan Han ^¹
Xueshan Han
the Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250002, China
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Ming Yang ^¹
Ming Yang
the Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250002, China
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Qiuwei Wu ^²
Qiuwei Wu
Department of Electrical Engineering, Technical University of Denmark, Region Hovedstaden, Denmark
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Ran Li ^¹
Ran Li
the Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250002, China
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Affiliation:

1.the Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250002, China;2.Department of Electrical Engineering, Technical University of Denmark, Region Hovedstaden, Denmark

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Abstract:

The outage of power system equipment is one of the most important factors that affect the reliability and economy of power system. It is crucial to consider the influence of contingencies elaborately in planning problem. In this paper, a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is considered. The uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single equipment. An epigraph reformulation and Benders decomposition are applied to solve the proposed model. Finally, the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.

Key words:Benders decomposition ; distributionally robust ; equipment outage rate ; transmission expansion planning

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Received:October 28,2020
Revised:February 28,2021
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Online: July 15,2022
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