Hypothesis testing of the stochastic model of demand and supply power of plug-in electric vehicles

Siqi Bu, W. Du, H. F. Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

is paper investigates the probability distribution of the demand and supply power of plug-in electric vehicles (PEVs) based on the developed stochastic model. Firstly, an established stochastic model is developed to take account of the charging and discharging of different PEVs in the system. Monte Carlo simulation is then employed to compute the probability distributions of PEV load bus power with different parameter conditions of the stochastic model. Then the hypothesis testing is carried out to identify the probability distribution of the PEV demand and supply power. Results of the hypothesis testing demonstrate that the probability distributions in the most cases of parameter conditions are approximate to the Gaussian distribution. Finally, the main parameters of the probability distributions obtained by Monte Carlo simulation are evaluated by parameter estimation.
Original languageEnglish
Title of host publicationInternational Conference on Sustainable Power Generation and Supply, SUPERGEN 2012
Volume2012
Edition611 CP
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes
EventInternational Conference on Sustainable Power Generation and Supply, SUPERGEN 2012 - Hangzhou, China
Duration: 8 Sep 20129 Sep 2012

Conference

ConferenceInternational Conference on Sustainable Power Generation and Supply, SUPERGEN 2012
Country/TerritoryChina
CityHangzhou
Period8/09/129/09/12

Keywords

  • Ectric vehicles (PEVs)
  • Hypothesis esting
  • Parameter estimation
  • Queuing theory
  • Stochastic model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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