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Multi-area generation adequacy and capacity credit in power system analysis
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (Integration of Renewable Energy Sources Group)
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (Integration of Renewable Energy Sources Group)ORCID iD: 0000-0002-8189-2420
2018 (English)In: 2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

A generator's contribution to the generation adequacy of a power system is more accurately captured by its capacity credit than by its installed capacity. The capacity credit takes into account factors such as forced outages and limited energy supply and the latter is especially important for volatile renewable sources that behave quite differently from dispatchable sources. Their installed capacity gives very limited information about their contribution to the generation system adequacy. Traditional approaches for calculating the capacity credit treat the power system as a single area and calculate an aggregate value for the whole system. In this paper, a multi-area approach is introduced which is able to quantify how the capacity credit is distributed between different power system areas. A combination of an iterative multi-variate Newton approach and a Monte Carlo simulation with an efficient sensitivity analysis allows this to be achieved in a computationally economical way.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1-6
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-238206DOI: 10.1109/ISGT-Asia.2017.8378349ISI: 000435854300036Scopus ID: 2-s2.0-85049948625ISBN: 9781538649503 (print)OAI: oai:DiVA.org:kth-238206DiVA, id: diva2:1264868
Conference
7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017, 4 December 2017 through 7 December 2017
Note

QC 20181121

Available from: 2018-11-21 Created: 2018-11-21 Last updated: 2018-11-21Bibliographically approved

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Tomasson, EgillSöder, Lennart

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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