A probabilistic approach to assess wind generation penetration and market prices

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

1 Scopus citations

Abstract

Increasing interest in integrating wind energy, as one of the promising renewable sources, has led to an increase in the uncertainty of power system operation. Probabilistic models are thus necessary to assess the performance of power systems with considerable amounts of wind generation. This paper presents a probabilistic technique for assessing the impact of wind farm location on the penetration level of the wind generation and real-time electricity market prices.

Original languageBritish English
Title of host publicationCanadian Conference on Electrical and Computer Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479930999
DOIs
StatePublished - 17 Sep 2014
Event2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 - Toronto, Canada
Duration: 4 May 20147 May 2014

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Print)0840-7789

Conference

Conference2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014
Country/TerritoryCanada
CityToronto
Period4/05/147/05/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • electricity market prices
  • penetration level
  • probabilistic models
  • wind energy

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