Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties

Arsalan Najafi, Sanaz Salari, Moosa Marzband, Ameena Saad Al-Sumaiti, Edris Pouresmaeil

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

5 Citations (Scopus)

Abstract

Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.

Original languageEnglish
Title of host publicationProceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538629109
DOIs
Publication statusPublished - 13 Dec 2018
Event53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow, United Kingdom
Duration: 4 Sept 20187 Sept 2018

Conference

Conference53rd International Universities Power Engineering Conference, UPEC 2018
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/09/187/09/18

Keywords

  • CVaR
  • large consumers
  • stochastic programming
  • tidal power

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