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Integration of plug-in electric vehicles in power systems using charging mode switching

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we develop an energy management algorithm for charging and discharging plug-in electric vehicles (PEVs). The algorithm considers both user convenience and electricity market factors. A performance metric, called 'user convenience', is formulated to measure the effective coordination of PEV charging. As a response to the electricity market, we address an economic dispatch problem by considering power flows, grid losses, voltage profile patterns, and vehicle-to-grid costs. Both of the concerned factors can be optimized by simply switching a PEV during charging, discharging, or in off-mode. The mode switch allows easy integrate of PEVs into power systems. The PEV state-decision problem can be efficiently solved by using convex optimization tools. Moreover, the problem can be solved in a decentralized manner, wherein each sub-aggregator can determine to charge, discharge, and turn to off-mode locally. Simulation results indicate that the proposed PEV energy management algorithm can obtain the same final state-of-charge of the batteries as those obtained by unconstraint cases. Meanwhile, the effect of PEV charging on the power system is significantly mitigated.

Original languageEnglish
Title of host publication2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014
PublisherIEEE Computer Society
Pages677-681
Number of pages5
ISBN (Print)9781479927050
DOIs
Publication statusPublished - 2014
Event7th International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 - Hiroshima, Japan
Duration: 2014 May 182014 May 21

Publication series

Name2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014

Other

Other7th International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014
Country/TerritoryJapan
CityHiroshima
Period14-05-1814-05-21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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