Review of local network impedance estimation techniques
Kervyn de Meerendre, Mathieu and Prieto-Araujo, Eduardo and Ahmed, Khaled H. and Gomis-Bellmunt, Oriol and Xu, Lie and Egea-Àlvarez, Agusti (2020) Review of local network impedance estimation techniques. IEEE Access, 8. pp. 213647-213661. ISSN 2169-3536 (https://doi.org/10.1109/ACCESS.2020.3040099)
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Abstract
As a result of increasing variability of network impedance, interest in impedance estimation techniques is growing. This review contextualises local impedance estimation techniques by providing a historical prospective on the uses of these techniques, from the early implementations designed to monitor power quality to the latest techniques integrated into converters designed to update the controller with the most recent network information. This is followed by clear and consolidated descriptions, a complete classification and comparison tables of local estimation techniques intended to assist engineers and researchers choose an estimation technique that is suitable to their application. The discussed techniques are then ranked for a range of application priorities such as accuracy, least disruptive to the network, most suitable for wide frequency spectrum estimations and rapidity of estimation. Practical applications of impedance estimation are discussed, such as network characterisation, anti-islanding detection, filter resonance avoidance and controller tuning. To conclude the review, future trends are identified.
ORCID iDs
Kervyn de Meerendre, Mathieu, Prieto-Araujo, Eduardo, Ahmed, Khaled H., Gomis-Bellmunt, Oriol, Xu, Lie ORCID: https://orcid.org/0000-0001-5633-7866 and Egea-Àlvarez, Agusti ORCID: https://orcid.org/0000-0003-1286-6699;-
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Item type: Article ID code: 74723 Dates: DateEvent24 November 2020Published14 November 2020Accepted27 August 2020SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 26 Nov 2020 16:50 Last modified: 18 Dec 2024 15:22 URI: https://strathprints.strath.ac.uk/id/eprint/74723