'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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)

Samenvatting

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.

Originele taal-2Engels
Titel2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Plaats van productiePiscataway
UitgeverijIEEE Computer Society
Aantal pagina's5
ISBN van elektronische versie9781509041688
DOI's
StatusGepubliceerd - 10 nov 2016
Evenement2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, Verenigde Staten van Amerika
Duur: 17 jul 201621 jul 2016

Congres

Congres2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Land/RegioVerenigde Staten van Amerika
StadBoston
Periode17/07/1621/07/16

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