Proceedings of the IEEE · 2017 · 264 citations · 59 references
BusinessEmergency PreparednessCapacity PlanningDisaster PreparednessOptimizationCritical Infrastructure RecoveryDistributed Energy ResourcesDistribution Network PlanningInteger ProgrammingPower Grid AnalysisStochastic ProgrammingAllocationDistribution Resource AllocationDistribution SystemsExtreme Weather EventsHeuristic AlgorithmsMixed-integer Linear ProgrammingMixed-integer Nonlinear ProgrammingMixed-integer Programming
Proactive preparedness to cope with extreme weather events is significantly helpful in reducing the restoration cost and enhancing the resilience of distribution systems. This paper is focused on the resource allocation problem in distribution systems ahead of a coming hurricane. Generation resources such as diesel oil and batteries are considered for allocation, which can be used to serve outage critical load in the post-hurricane restoration. Electric buses are also considered as a kind of resource. Considering the uncertainties of system faults, the allocation problem is formulated into a mixed-integer stochastic nonlinear program. A heuristic method is then proposed, which obtains the allocation plan by solving a mixed-integer linear program. Numerical simulations are performed on the IEEE 123-node feeder system under several scenarios to demonstrate the effectiveness of the proposed method. The impacts of resources transportation cost, initial distribution of electric buses, and hurricane severity on the allocation plan are discussed.
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