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Coordinated Charging of Plug-in Hybrid Electric Vehicles to Minimize Distribution System Losses

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The article was published on 2013-01-01 and is currently open access. It has received 419 citations till now.

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Smart Grid - The New and Improved Power Grid:

TL;DR: This article surveys the literature till 2011 on the enabling technologies for the Smart Grid, and explores three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Journal ArticleDOI

Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces

TL;DR: In this article, the authors review the current status and implementation impact of V2G/grid-to-vehicle (G2V) technologies on distributed systems, requirements, benefits, challenges, and strategies for VUE interfaces of both individual vehicles and fleets.
Proceedings ArticleDOI

Optimal decentralized protocol for electric vehicle charging

TL;DR: A decentralized algorithm to optimally schedule electric vehicle (EV) charging as an optimal control problem, whose objective is to impose a generalized notion of valley-filling, and study properties of optimal charging profiles.
Journal ArticleDOI

Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services

TL;DR: A V2G algorithm is developed to optimize energy and ancillary services scheduling that maximizes profits to the aggregator while providing additional system flexibility and peak load shaving to the utility and low costs of EV charging to the customer.
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Investigating the Impacts of Plug-in Hybrid Electric Vehicles on Power Distribution Systems

TL;DR: A comprehensive model is proposed to study the PHEV impacts on residential distribution systems and its fundamental characteristics, i.e., PHEV battery capacity, PHEV state of charge (SOC), and PHEV energy consumption in daily trips are accurately modeled.
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Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses

TL;DR: From these relationships, three optimal charging algorithms are developed which minimize the impacts of PHEV charging on the connected distribution system and show the additional benefits of reduced computation time and problem convexity when using load factor or load variance as the objective function rather than system losses.
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