Abstract
Traditionally, distribution system takes a long time to recover after a major outage, due to its top-down operation strategy. As fast response energy resources, Plug-in Hybrid Electric Vehicles (PHEVs) can accelerate the load pickup process by compensating the imbalance between available generation and load in distribution system. In this paper, PHEVs are employed for reliable load pickup and faster self-healing process. The non-homogeneous Markov chain method has been employed for generation of synthetic driving behavior. The optimization problem of finding load pickup sequence to maximize restored energy is formulated as a Mixed Integer Linear Programming (MILP) problem. Simulation results on a 100-feeder test system demonstrate the benefit from PHEVs to restore more energy in a given recovery time. It also provides incentives to deploy a large amount of PHEVs to improve system resiliency.
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