On the Methods of Resonance Identification in Power Systems

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2019Researchpeer-review

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There are several methods for resonance identification in power systems each of which has its own advantages and disadvantages. In this paper, three methods for resonance identification are discussed; namely: Impedance Scan (ImS), Harmonic Resonance Modal Analysis (HRMA), and the method based on Determinant of the Transfer Function (DTF). Going to the mathematical concept behind each method, and giving the physical meaning of these concepts in power systems, the applicability of using these methods in power systems is investigated. In this way, it is concluded that ImS is suitable for graphical representation of the resonances, HRMA is good if more insight about the resonances is needed, while DTF, which has the advantage of representing the behavior of the system with a single number, can have some limitations that need to be taken into account when used in resonance studies.
Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE Milan PowerTech
Number of pages6
PublisherIEEE
Publication date2019
Pages1-6
ISBN (Print)978-1-5386-4723-3
ISBN (Electronic)978-1-5386-4722-6
DOIs
Publication statusPublished - 2019
Event13th IEEE PowerTech Milano 2019: Leading innovation for energy transition - Bovisa Campus of Politecnico di Milano, Milano, Italy
Duration: 23 Jun 201927 Jun 2019
Conference number: 13
http://ieee-powertech.org/

Conference

Conference13th IEEE PowerTech Milano 2019
Number13
LocationBovisa Campus of Politecnico di Milano
CountryItaly
CityMilano
Period23/06/201927/06/2019
OtherPowerTech is the anchor conference of the IEEE Power & Energy Society (PES) in Europe
Internet address
SeriesProceedings of the IEEE
ISSN0018-9219
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Admittance Matrix, Eigenvalues, Electrical Resonances, Impedance Matrix, Resonance Identification

ID: 191324296