Stochastic Analyses of Electric Vehicle Charging Impacts on Distribution Network

A stochastic modeling and simulation technique for analyzing impacts of electric vehicles charging demands on distribution network is proposed in this paper. Different from the previous deterministic approaches, the feeder daily load models, electric vehicle start charging time, and battery state of...

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Bibliographic Details
Published in:IEEE transactions on power systems 2014-05, Vol.29 (3), p.1055-1063
Main Authors: Leou, Rong-Ceng, Su, Chun-Lien, Lu, Chan-Nan
Format: Article
Language:English
Subjects:
Batteries
Charging
Computer information security
Controlled charge
Data models
distribution feeder operation and planning
electric vehicle impact study
Electric vehicles
Impact analysis
load model
Load modeling
Mathematical models
Monte Carlo methods
Networks
Stochastic models
Stochastic processes
stochastic simulations
Stochasticity
Stress concentration
System-on-chip
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Summary:A stochastic modeling and simulation technique for analyzing impacts of electric vehicles charging demands on distribution network is proposed in this paper. Different from the previous deterministic approaches, the feeder daily load models, electric vehicle start charging time, and battery state of charge used in the impact study are derived from actual measurements and survey data. Distribution operation security risk information, such as over-current and under-voltage, is obtained from three-phase distribution load flow studies that use stochastic parameters drawn from Roulette wheel selection. Voltage and congestion impact indicators are defined and a comparison of the deterministic and stochastic analytical approaches in providing information required in distribution network reinforcement planning is presented. Numerical results illustrate the capability of the proposed stochastic models in reflecting system losses and security impacts due to electric vehicle integrations. The effectiveness of a controlled charging algorithm aimed at relieving the system operation problem is also presented.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2013.2291556