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

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

Abstract

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.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5386-3596-4
DOIs
Publication statusPublished - 2018
Event2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) - Boise, United States
Duration: 24 Jun 201828 Jun 2018

Conference

Conference2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Abbreviated titlePMAPS
CountryUnited States
CityBoise
Period24/06/1828/06/18

Fingerprint

Electric power transmission networks
Solar energy
Wind power
Electric power distribution
Electricity
Uncertainty

Cite this

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) [08440326] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PMAPS.2018.8440326
Reinders, J. ; Paterakis, N. ; Morren, J. ; Slootweg, J.G. / A linearized probabilistic load flow method to deal with uncertainties in transmission networks. 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway : Institute of Electrical and Electronics Engineers, 2018.
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abstract = "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.",
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Reinders, J, Paterakis, N, Morren, J & Slootweg, JG 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)., 08440326, Institute of Electrical and Electronics Engineers, Piscataway, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) , Boise, United States, 24/06/18. https://doi.org/10.1109/PMAPS.2018.8440326

A linearized probabilistic load flow method to deal with uncertainties in transmission networks. / Reinders, J.; Paterakis, N.; Morren, J.; Slootweg, J.G.

2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway : Institute of Electrical and Electronics Engineers, 2018. 08440326.

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

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Reinders J, Paterakis N, Morren J, Slootweg JG. 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). Piscataway: Institute of Electrical and Electronics Engineers. 2018. 08440326 https://doi.org/10.1109/PMAPS.2018.8440326