Feasibility study of applicability of recurrence quantification analysis for clustering of power system dynamic responses

Panagiotis N. Papadopoulos, Jovica V. Milanović, Pratyasa Bhui, Nilanjan Senroy

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

3 Citations (Scopus)
21 Downloads (Pure)

Abstract

A methodology based on Recurrence Quantification Analysis (RQA) for the clustering of generator dynamic behavior is presented. RQA is a nonlinear data analysis method, which is used in this paper to extract features from measured generator rotor angle responses that can be used to cluster generators in groups with similar oscillatory behavior. The possibility of extracting features relevant to damping and frequency of oscillations present in power systems is studied. The k-Means clustering algorithm is further used to cluster the generator responses in groups exhibiting well or poorly damped oscillations, based on the extracted features from RQA. The effectiveness of RQA is investigated using simulated responses from a modified version of the IEEE 68 bus network, including renewable energy resources.

Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies, Europe
Subtitle of host publicationOctober, 9-12, 2016, Ljubljana
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages6
ISBN (Electronic)9781509033584
DOIs
Publication statusPublished - 16 Feb 2017
Event2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016 - Ljubljana, Slovenia
Duration: 9 Oct 201612 Oct 2016

Conference

Conference2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
CountrySlovenia
CityLjubljana
Period9/10/1612/10/16

Keywords

  • clustering
  • k-means
  • recurrence quantification analysis
  • renewable energy resources

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    Papadopoulos, P. N., Milanović, J. V., Bhui, P., & Senroy, N. (2017). Feasibility study of applicability of recurrence quantification analysis for clustering of power system dynamic responses. In IEEE PES Innovative Smart Grid Technologies, Europe: October, 9-12, 2016, Ljubljana [7856236] IEEE. https://doi.org/10.1109/ISGTEurope.2016.7856236