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

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

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

3 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 of the 53rd International Universities Power Engineering Conference, UPEC 2018
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-5386-2910-9
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventInternational Universities Power Engineering Conference - Glasgow, United Kingdom
Duration: 4 Sep 20187 Sep 2018
Conference number: 53

Conference

ConferenceInternational Universities Power Engineering Conference
Abbreviated titleUPEC
Country/TerritoryUnited Kingdom
CityGlasgow
Period04/09/201807/09/2018

Keywords

  • stochastic programming
  • tidal power
  • large consumers
  • CVaR

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