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Including Uncertainties from Customer Connections in Calculating Low-Voltage Harmonic Impedance
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4079-4776
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-9103-0226
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-4004-0352
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
2019 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 34, no 2, p. 606-615Article in journal (Refereed) Published
Abstract [en]

A method is proposed in this paper to determine the harmonic impedances in low-voltage networks in a stochastic way. The consequences of resonances for harmonic propagation and stability of power converters are summarized. By using Monte Carlo simulation, the method includes the uncertainties in customer impedances, specifically due to electronic loads and local generation. The uncertainty in customer impedance is included by considering probability distribution for the resistive, inductive and capacitive parts of the impedance. The concept of transfer impedance is used for phase-to-neutral connections. A method is developed and applied to two existing low-voltage networks in Sweden. Results show that, for these two networks, the resonant frequencies decrease around 28 % once PV panels are installed. The paper includes a discussion of some of the practical aspects of applying the proposed method.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 34, no 2, p. 606-615
Keywords [en]
Power Quality, power system harmonics, resonance, stochastic processes, Monte Carlo methods
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72659DOI: 10.1109/TPWRD.2018.2881222ISI: 000462414900022OAI: oai:DiVA.org:ltu-72659DiVA, id: diva2:1281873
Funder
Swedish Energy Agency
Note

Validerad;2019;Nivå 2;2019-04-11 (oliekm)

Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-04-24Bibliographically approved

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Publisher's full texthttps://ieeexplore.ieee.org/document/8534456

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Busatto, TatianoLarsson, AndersRönnberg, SarahBollen, Math

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