Impact of integrating PEV and renewable sources on power system reliability assessment

M. F. Shaaban, M. H. Ahmed, T. H.M. El-Fouly, M. M.A. Salama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The electrification of vehicles is now considered an effective solution that will reduce fuel consumption and emissions as well as increase energy security through the diversification of available energy sources. The electric energy generated from low-emission renewable resources will play a vital role to meet the electricity needs of the transportation sector and will also address concerns about shifting emissions from the transportation sector to the electricity generation sector. This paper proposes a new approach to evaluate the power system reliability indices incorporating plug-in electric vehicles. The proposed method relies on developing virtual scenarios that cover all possible occurrences for normal demand, conventional generation, renewable resources, and plug-in electric vehicles demand. These scenarios are generated using Monte Carlo Simulation and Marcov Chains.

Original languageBritish English
Title of host publication2015 4th International Conference on Electric Power and Energy Conversion Systems, EPECS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391306
DOIs
StatePublished - 29 Dec 2015
Event4th International Conference on Electric Power and Energy Conversion Systems, EPECS 2015 - Sharjah, United Arab Emirates
Duration: 24 Nov 201526 Nov 2015

Publication series

Name2015 4th International Conference on Electric Power and Energy Conversion Systems, EPECS 2015

Conference

Conference4th International Conference on Electric Power and Energy Conversion Systems, EPECS 2015
Country/TerritoryUnited Arab Emirates
CitySharjah
Period24/11/1526/11/15

Keywords

  • and smart parking lots
  • electric vehicles
  • Monte Carlo Simulation
  • power system reliability
  • renewable energy
  • smart grid

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