A linearized probabilistic load flow method to deal with uncertainties in transmission networks

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Increasing decentralized solar and wind power production, introduces uncertainty in the electricity network and especially at the interface between transmission and distribution network. Analytical probabilistic load flow methods provide a way to incorporate uncertainty in the load flow equation, retaining acceptable accuracy without requiring significant computational power. However, the assumption that is commonly adopted is that the uncertain variables are normally distributed. The integration of wind and solar power may lead to the deprecation of the normality assumption. By comparing different distributions describing nodal powers on a standard test network, this paper assesses the usability of first order Taylor approximation to incorporate uncertainty in load flow equations in comparison with a Monte-Carlo based probabilistic load flow.
Originele taal-2Engels
Titel2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie978-1-5386-3596-4
ISBN van geprinte versie9781538635964
DOI's
StatusGepubliceerd - 17 aug 2018
Evenement2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) - Boise, Verenigde Staten van Amerika
Duur: 24 jun 201828 jun 2018

Congres

Congres2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Verkorte titelPMAPS
LandVerenigde Staten van Amerika
StadBoise
Periode24/06/1828/06/18

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  • Citeer dit

    Reinders, J., Paterakis, N., Morren, J., & Slootweg, J. G. (2018). A linearized probabilistic load flow method to deal with uncertainties in transmission networks. In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) [8440326] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PMAPS.2018.8440326