期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 33, 期 6, 页码 6828-6838出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2018.2855102
关键词
Outage management; power distribution system; repair crews; routing; stochastic programming
资金
- U.S. Department of Energy Office of Electricity Delivery and Energy Reliability
- Iowa Energy Center, Iowa Economic Development Authority and its utility partners
This paper proposes a novel method to co-optimize the distribution system operation and repair crew routing for outage restoration after extreme weather events. A two-stage stochastic mixed integer linear program is developed. The first stage is to dispatch the repair crews to the damaged components. The second stage is distribution system restoration using distributed generators, and reconfiguration. We consider demand uncertainty in terms of a truncated normal forecast error distribution, and model the uncertainty of the repair time using a lognormal distribution. A new decomposition approach, combined with the progressive hedging algorithm, is developed for solving large-scale outage management problems in an effective and timely manner. The proposed method is validated on modified IEEE 34- and 8500-bus distribution test systems.
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