2009 IEEE Power &Amp; Energy Society General Meeting 2009
DOI: 10.1109/pes.2009.5275806
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Challenges of PHEV penetration to the residential distribution network

Abstract: As Plug-in Hybrid Vehicles (PHEVs) take a greater share in the personal automobile market, their penetration levels may bring potential challenges to electric utility especially at the distribution level. This paper examines the impact of charging PHEVs on a distribution transformer under different charging scenarios. The simulation results indicate that at the PHEV penetration level of interest, new load peaks will be created, which in some cases may exceed the distribution transformer capacity. In order to k… Show more

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Cited by 287 publications
(165 citation statements)
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“…(2),(3), (4) and (5)), along with constraints ensuring that the rated loading of the network transformer and the mains cable supplying the feeder from the transformer are not exceeded. It is assumed that the necessary monitoring and communication equipment is installed on the feeder and that the data collected, along with the data from the AMI of the customers, can be utilised in determining the optimal charging rates for the EVs on the feeder.…”
Section: E Centralised Controlmentioning
confidence: 99%
“…(2),(3), (4) and (5)), along with constraints ensuring that the rated loading of the network transformer and the mains cable supplying the feeder from the transformer are not exceeded. It is assumed that the necessary monitoring and communication equipment is installed on the feeder and that the data collected, along with the data from the AMI of the customers, can be utilised in determining the optimal charging rates for the EVs on the feeder.…”
Section: E Centralised Controlmentioning
confidence: 99%
“…Similar to the results in the summer month, the demand response strategies implemented by IDAPS agents could help lower the system peak demand, under both BG&E and DOM rate structures in the winter month as well. More detailed description of IDAPS control algorithms during non-emergencies can be found in [77,78].…”
Section: A) Case Study 1: Perform Demand Management During Non-emergementioning
confidence: 99%
“…Several works have been focused on the different optimization models for power systems by utilizing EVs [1][2][3][4][5][6][7][8][9]. However, most other cases only consider coordinated charging or non-flexible charging methods [1][2][3][4][5][6][7][8][9][10]. For example, Masoum, A. S. et al [1] consider about coordinating PEV (plug-in electric vehicle) charging by using a developed SLM (smart load management) control method for mitigating the increase in demand load at peak time.…”
Section: Introductionmentioning
confidence: 99%