'In silico' testing of a decentralized PMU data-based power systems mode estimator

Ravi Shankar Singh, Maxime Baudette, Hossein Hooshyar, Luigi Vanfretti, M. Shoaib Almas, Stig Løvlund

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

5 Citations (Scopus)

Abstract

This paper presents the software implementation of a Phasor Measurement Unit (PMU) data-based mode estimation application in a decentralized mode estimation architecture. This work builds from previous efforts in the development of a mode estimator implemented using a centralized architecture, meaning a set of modes were estimated for the whole system in a single processing location. One drawback of mode estimators that use centralized mode architecture is that the observability and therefore estimation of important low-damped local electromechanical modes can be affected by the higher observability of other dominant modes of the systems (e.g inter-area modes). This work proposes, implements and tests a decentralized architecture in order to increase the observation capability to provide better estimates of local low damped oscillations. In this architecture, the data from a single PMU or a group of local PMUs could be processed by a processor to estimate the modal parameters observed at a specific part of the grid or observed by specific group of PMUs. The decentralized architecture and results of tests are presented in this paper together with comparison with a centralized architecture.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Place of PublicationPiscataway
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781509041688
DOIs
Publication statusPublished - 10 Nov 2016
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: 17 Jul 201621 Jul 2016

Conference

Conference2016 IEEE Power and Energy Society General Meeting, PESGM 2016
CountryUnited States
CityBoston
Period17/07/1621/07/16

Keywords

  • Decentrlized Mode Estimation
  • Inter-area Oscillations
  • Mode Estimation
  • Phasor Measurement Unit (PMU)

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    Singh, R. S., Baudette, M., Hooshyar, H., Vanfretti, L., Almas, M. S., & Løvlund, S. (2016). 'In silico' testing of a decentralized PMU data-based power systems mode estimator. In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 [7741392] IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741392