Minimizing Variance in Variable Renewable Energy Generation in Northern Europe

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2018

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The growing installations of variable renewable energy (VRE) sources, which are driven by weather patterns, can cause challenges to the operation and planning of power systems. This paper minimizes the variance of aggregate VRE generation based on the amount of different VRE technology types installed in different countries over a large geographical area. A mixture of offshore and onshore wind, and solar photovoltaic generation is considered. In the presented case study in Northern Europe, the optimized scenario provides a doubling of the expected annual VRE energy with a much lower increase in the aggregate VRE generation variability compared to other scenarios. The optimized scenario shows clearly the benefit of having a mixture of different VRE technologies with geographically highly spread installations.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Number of pages6
PublisherIEEE
Publication date2018
Pages1-6
ISBN (Print)978-1-5386-3597-1
ISBN (Electronic)978-1-5386-3596-4
DOIs
StatePublished - 2018
EventIEEE International Conference on Probabilistic Methods Applied to Power Systems - Boise, United States
Duration: 24 Jun 201828 Jun 2018

Conference

ConferenceIEEE International Conference on Probabilistic Methods Applied to Power Systems
CountryUnited States
CityBoise
Period24/06/201828/06/2018
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Optimization, renewable energy, solar, variance, wind
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