Dynamic equivalencing supported by load disaggregation via harmonic current analysis

Georgios A. Barzegkar-Ntovom, Theofilos A. Papadopoulos, Asthansios S. Pavlakis, Eleftherios O. Kontis, Mazheruddin H. Syed, Efren Guillo-Sansano, Graeme M. Burt

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

The time-varying composition of power system loads influences the robustness of measurement-based dynamic equivalent models, constituting them valid only for specific operating conditions. To overcome this issue, in this paper, a new generic dynamic equivalencing method, utilizing load disaggregation, is proposed. Load disaggregation by analyzing the aggregated harmonic current content is used to estimate the load composition of a distribution network, providing higher visibility and information regarding its operational condition. In this sense, representative sets of dynamic load model parameters are obtained for different loading conditions using a clustering algorithm. The accuracy and robustness of the proposed method is assessed using laboratory measurements.
Original languageEnglish
Title of host publication2021 IEEE Madrid PowerTech
Place of PublicationNew York
PublisherIEEE
Number of pages6
ISBN (Electronic)9781665435970
ISBN (Print)9781665411738
DOIs
Publication statusPublished - 29 Jul 2021
EventPowerTech 2021: Power for the Sustainable Development Goals - Virtual, Madrid, Spain
Duration: 28 Jun 20212 Jul 2021
https://www.powertech2021.com/

Conference

ConferencePowerTech 2021
Country/TerritorySpain
CityMadrid
Period28/06/212/07/21
Internet address

Keywords

  • clustering
  • dynamic modelling
  • harmonic analysis
  • load disaggregation
  • measurement-based approach

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