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Distribution network electric vehicle hosting capacity enhancement using an optimal power flow formulation
Department of Electrical and Electronic Engineering, Los Andes University, Bogotá, Colombia.
Department of Electrical and Electronic Engineering, Los Andes University, Bogotá, Colombia.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4443-7653
2022 (English)In: Electrical engineering (Berlin. Print), ISSN 0948-7921, E-ISSN 1432-0487, Vol. 104, no 3, p. 1337-1348Article in journal (Refereed) Published
Abstract [en]

This paper presents a method based on an optimal power flow (OPF) procedure to determine the maximum Hosting Capacity (HC) of Electric Vehicles (EV) that can be supported by a distribution network. With a focus on the injection control of reactive power, it is possible to maximize the penetration of EV. The presented method is based on linearized power flow equations, allowing a significant reduction in the computational processing times. Two comparisons are presented. The first one is between a nonlinear and a linear OPF method. Second one, it is comparative analysis between legacy iterative (non-optimized) method of HC and the proposed method. The method is applied on the IEEE 13 node test feeder circuit showing its effectiveness and acceptable performance. Results demonstrate that the implemented method enhances the HC measured against a legacy HC method and decrease the computational time measures against nonlinear optimization methods. 

Place, publisher, year, edition, pages
Springer, 2022. Vol. 104, no 3, p. 1337-1348
Keywords [en]
Hosting capacity, Electric vehicle integration, Radial distribution network, Optimal power flow, Linear power flow, Overvoltage, Undervoltage
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-87203DOI: 10.1007/s00202-021-01374-7ISI: 000696487400001Scopus ID: 2-s2.0-85115055914OAI: oai:DiVA.org:ltu-87203DiVA, id: diva2:1597024
Note

Validerad;2022;Nivå 2;2022-05-31 (johcin)

Available from: 2021-09-24 Created: 2021-09-24 Last updated: 2023-09-05Bibliographically approved

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Alvarez, Manuel

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