Adequacy of the long-term operational reserve of a system with wind power and electric vehicles under severe scenarios

L. E. Bremermann, M. A. Da Rosa, M. Matos, J. A.P. Lopes, L. M. Carvalho, I. C. Costa

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

Abstract

Combining conventional and unconventional generations with hard forecasting properties and consumption variability has made the task of fitting large amounts of wind generation into unit commitment procedures very challenging. In this context, massive integration of electric vehicles in the electric systems, is expected. This paper aims at evaluating the adequacy of a generating system taking into account the electric vehicles and high wind power integration level in its energy mix. This study was conducted on the European project MERGE framework, and the results have shown that the generating system evaluated is reliable. Nevertheless, the simulations carried out for scenarios with adverse weather conditions (dry years) have revealed specific circumstances that might jeopardize the system adequacy.

Original languageEnglish
Title of host publication2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479935611
DOIs
Publication statusPublished - 17 Nov 2014
Externally publishedYes
Event2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Durham, United Kingdom
Duration: 7 Jul 201410 Jul 2014

Publication series

Name2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Conference Proceedings

Conference

Conference2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014
Country/TerritoryUnited Kingdom
CityDurham
Period7/07/1410/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Generation adequacy
  • Renewables integration
  • System reliability analysis

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