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Stochastic Analysis for Forecasting the MW Load of Plug-In Electric Vehicles

  • C. S. Indulkar
  • K. Ramalingam
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8298)

Abstract

This paper proposes a Monte Carlo analysis for forecasting the MW load of plug-in electric vehicles. The method considers the number of vehicles in a city, Wh/km, km per vehicle, vehicles on chargers, and power factor of chargers. Using the Monte Carlo method, the range of the MW load is forecasted, considering the associated ranges of the various parameters and variables.

Keywords

Plug-in Electric vehicle load forecasting Monte Carlo method stochastic analysis battery chargers 

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References

  1. 1.
    Brooks, A., Lu, E., Reicher, D., Spirakis, C., Weihl, B.: Demand dispatch. IEEE Power & Energy Magazine 8, 20–29 (2010)CrossRefGoogle Scholar
  2. 2.
    Ungar, E., Fell, K.: Plug in, turn on, and load up. IEEE Power & Energy Magazine 8, 30–35 (2010)CrossRefGoogle Scholar
  3. 3.
    Lojowska, A., Kurowicka, D., Papaefthymiou, G., van der Sluis, L.: Stochastic Modeling of Power Demand Due to EVs Using Copula. IEEE Trans. Power Systems 27(4), 1960–1968 (2012)CrossRefGoogle Scholar
  4. 4.
    Wu, D., Aliprantis, D.C., Gkritza, K.: Electric Energy and Power Consumption by Light-Duty Plug-In Electric vehicles. IEEE Trans. Power Systems 26(2), 738–746 (2011)CrossRefGoogle Scholar
  5. 5.
    Qian, K., Zhao, C., Allan, M., Yuan, Y.: Modeling of Load Demand due to EV battery charging in distribution systems. IEEE Trans. Power Systems 26(2), 802–810 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • C. S. Indulkar
    • 1
  • K. Ramalingam
    • 2
  1. 1.Indian Institute of TechnologyDelhiIndia
  2. 2.Airports Authority of IndiaDelhiIndia

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