Phevs Contribution To The Self-Healing Process Of Distribution Systems

Keywords

Distribution system; Markov chain; Mixed integer linear programming; Plug-in hybrid electric vehicles; Self-healing

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.

Publication Date

11-10-2016

Publication Title

IEEE Power and Energy Society General Meeting

Volume

2016-November

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/PESGM.2016.7741842

Socpus ID

85002252459 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85002252459

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