Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

Weilun Wang, Mingqiang Wang, Xueshan Han, Ming Yang, Qiuwei Wu, Ran Li

Research output: Contribution to journalJournal articleResearchpeer-review

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 model. The feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.
Original languageEnglish
Article number9485107
JournalJournal of Modern Power Systems and Clean Energy
Number of pages9
ISSN2196-5625
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Benders decomposition
  • Distributionally robust
  • Equipment outage rate
  • Transmission expansion planning (TEP)

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