A heuristic for the synthesis of credible operating states in the presence of renewable energy sources

Edgar Nuño Martinez, Nicolaos Antonio Cutululis

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Experience has shown the limitations of deterministic criteria when accommodating the intrinsic uncertainties associated to modern power systems. Hereof, probabilistic risk assessment represent a powerful enhancement in order to ensure the overall power system reliability rather than a worst-case scenario analysis. This paper presents a general-purpose methodology intended to generate plausible operating states. The main focus lies on the generation of correlated random samples using a heuristic of the NORmal-to-Anything (NORTA) method. The proposed methodology was applied to model wind generation in the Danish Western power system, analyzing the effect of the marginal distributions and errors in the correlation matrix definition.
Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Number of pages7
PublisherIEEE
Publication date2016
ISBN (Electronic)978-1-5090-1970-0
DOIs
Publication statusPublished - 2016
EventInternational Conference on Probabilistic Methods Applied to Power Systems - Beijing, China
Duration: 16 Oct 201620 Oct 2016

Conference

ConferenceInternational Conference on Probabilistic Methods Applied to Power Systems
CountryChina
CityBeijing
Period16/10/201620/10/2016

Keywords

  • Wind power
  • Probabilistic Risk Assessment
  • NORmal-To-Anything

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