Experimental real-time testing of a decentralized PMU data-based power systems mode estimator

Ravi Shankar Singh, Hossein Hooshyar, Luigi Vanfretti

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents the results and testing of a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. This work is a continuation of that in [1], which described a decentralized mode estimation architecture that enables the application to better detect local modes whose observability is affected by other more observable modes. The tests in this paper were carried out using an active distribution network (ADN) comprised of a high voltage network connected to a distribution grid including renewable energy resources (RES). The developed application was run in a decentralized architecture where each PMU was associated with its own processing unit which was running the application to estimate modes from the time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with its centralized counterpart.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Place of PublicationPiscataway
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781538622124
DOIs
Publication statusPublished - 29 Jan 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, IL USA, Chicago, United States
Duration: 16 Jul 201720 Jul 2017
http://www.pes-gm.org/2017
http://www.pes-gm.org/2017/

Conference

Conference2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Abbreviated titlePESGM 2017
CountryUnited States
CityChicago
Period16/07/1720/07/17
Internet address

Fingerprint

Phasor measurement units
Testing
Renewable energy resources
Observability
Electric power distribution
Time series
Electric potential
Processing

Keywords

  • Decentralized Mode Estimation
  • Mode-meter
  • Oscillations
  • Phasor Measurement Unit (PMU)
  • Power System Monitoring

Cite this

Singh, R. S., Hooshyar, H., & Vanfretti, L. (2018). Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 [8274269] Piscataway: IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8274269
Singh, Ravi Shankar ; Hooshyar, Hossein ; Vanfretti, Luigi. / Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Piscataway : IEEE Computer Society, 2018.
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Singh, RS, Hooshyar, H & Vanfretti, L 2018, Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017., 8274269, IEEE Computer Society, Piscataway, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 16/07/17. https://doi.org/10.1109/PESGM.2017.8274269

Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. / Singh, Ravi Shankar; Hooshyar, Hossein; Vanfretti, Luigi.

2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Piscataway : IEEE Computer Society, 2018. 8274269.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Singh RS, Hooshyar H, Vanfretti L. Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Piscataway: IEEE Computer Society. 2018. 8274269 https://doi.org/10.1109/PESGM.2017.8274269