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Analytical Estimation of Reactive Power Capability of a Radial Distribution System
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (Integration of Renewable Energy Sources (IRES))ORCID iD: 0000-0002-5263-1950
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (Integration of Renewable Energy Sources (IRES))ORCID iD: 0000-0002-8189-2420
2018 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679Article in journal (Refereed) Published
Abstract [en]

The control of reactive power exchange between grids of different voltage levels has always been a concern for system operators. With production moving from the transmission to the distribution level, its importance increases. This paper proposes a novel approach to estimate reactive power capability of the grid as a whole. A linearized analytical model for an estimation of available reactive power exchange at the interface between two grids has been developed. The maximum estimation error for the scenarios we tested was only 2%. The model gives the relation between important grid parameters and the supported reactive power. The conclusions drawn from the model are confirmed on typical Swedish distribution network with scattered wind power and small industry consumers. Common scenarios in development of distribution grids are applied to show relevant parameters influence. One studied scenario is replacement of overhead lines with cables. It is shown that this particular change enhances the reactive power capability of the grid which is directly seen from the analytical analysis without running any optimal power flow. The analytical model proposed in this paper gives fundamental understanding of the reactive power capability of radial distribution grids.

Place, publisher, year, edition, pages
2018.
Keywords [en]
distribution grid, reactive power capability, reactive power management, voltage control, wind power
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-231395OAI: oai:DiVA.org:kth-231395DiVA, id: diva2:1228005
Projects
Volatile
Note

QC 20180627

Available from: 2018-06-27 Created: 2018-06-27 Last updated: 2018-10-19Bibliographically approved

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