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Local voltage control in distribution networks using PI control of active and reactive power
Lund University, Sweden.
Lund University, Sweden.
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0001-7286-3962
2022 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 212, article id 108475Article in journal (Refereed) Published
Abstract [en]

Overvoltage is becoming increasingly prevalent in distribution networks with high penetration of renewable distributed energy sources (DERs). Local control of converter-based resources is a flexible and scalable method to prevent this growing issue. Reactive power is used for voltage control in many local control schemes. However, the typical range of R/X ratios for distribution power lines indicates that mitigation of overvoltage often requires excessive amounts of reactive power. Complete reliance on reactive power thus limits the effectiveness of local control strategies. In this work we instead propose a method that combines enhanced power factor voltage control with upper voltage limit tracking using PI control. We develop a modelling framework and demonstrate the stability of the proposed method. We then simulate the nonlinear operation of two parallel PI controllers in a medium voltage test system. © 2022 The Authors

Place, publisher, year, edition, pages
Elsevier Ltd , 2022. Vol. 212, article id 108475
Keywords [en]
Control algorithms, Distribution networks, Local voltage control, Stability analysis, Electrolysis, Power control, Scalability, Two term control systems, Voltage control, Control of active and reactive power, Control schemes, Distributed energy sources, Local control, Over-voltages, PI control, Power lines, Scalable methods, Stability analyze, Reactive power
National Category
Atom and Molecular Physics and Optics
Identifiers
URN: urn:nbn:se:ri:diva-59892DOI: 10.1016/j.epsr.2022.108475Scopus ID: 2-s2.0-85134749806OAI: oai:DiVA.org:ri-59892DiVA, id: diva2:1686818
Note

Funding details: Horizon 2020 Framework Programme, H2020, 775970; Funding text 1: This work has been carried out within the framework of the ANM4L project Hillberg et al. (2020), which is supported by EU H2020 grant agreement No 775970 through the ERA-Net SES initiative.

Available from: 2022-08-11 Created: 2022-08-11 Last updated: 2023-05-16Bibliographically approved

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