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Optimizing Service Restoration in Distribution Systems With Uncertain Repair Time and Demand
- Source :
- IEEE Transactions on Power Systems. 33:6828-6838
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- This paper proposes a novel method to co-optimize 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.<br />Under review in IEEE Transactions on Power Systems
- Subjects :
- Mathematical optimization
Linear programming
Computer science
Truncated normal distribution
Stochastic process
020209 energy
Energy Engineering and Power Technology
Control reconfiguration
02 engineering and technology
Maintenance engineering
Stochastic programming
Optimization and Control (math.OC)
Log-normal distribution
FOS: Mathematics
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Routing (electronic design automation)
Mathematics - Optimization and Control
Subjects
Details
- ISSN :
- 15580679 and 08858950
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Systems
- Accession number :
- edsair.doi.dedup.....e4bcf9b8ee47e6d4271ba5433950a514