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Singh, Ravi Shankar
Publications (2 of 2) Show all publications
Singh, R. S., Hooshyar, H. & Vanfretti, L. (2017). Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. In: : . Paper presented at 2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Experimental real-time testing of a decentralized PMU data-based power systems mode estimator
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-202357 (URN)10.1109/PESGM.2017.8274269 (DOI)000426921802007 ()228184 (PubMedID)2-s2.0-85046341859 (Scopus ID)9781538622124 (ISBN)
Conference
2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL
Funder
StandUp
Note

QC 20170519. QC 20191022

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2019-10-22Bibliographically approved
Vanfretti, L., Hooshyar, H., Singh, R. S., Bidadfar, A. & Mahmood, F. (2017). Synchrophasor Applications for Distribution Networks, Supporting The IDE4L Use Case. In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING: . Paper presented at 2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL. IEEE
Open this publication in new window or tab >>Synchrophasor Applications for Distribution Networks, Supporting The IDE4L Use Case
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2017 (English)In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Distribution grid dynamics are becoming increasingly complex to analyze due to their transition from passive to active networks. This transition requires to increase the observability and awareness of the interactions between Transmission and Distribution (T&D) grids, particularly to guarantee adequate operational security. As part of the work carried out in the EU-funded IDE4L project, 11 specific use case, containing PMU-based monitoring functions, has been defined to support the architecture design of a distribution grid automation system. As a result, the architecture can accommodate for key dynamic information extraction and exchange between Distribution System Operator (DSO) and Transmission System Operator (TSO). This paper presents the use case and focuses on the technical aspects related to the development and implementation of the PMU-based monitoring functionalities.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
Keywords
active distribution grid, Kalman filter, PMU, SGAM, use case
National Category
Embedded Systems
Identifiers
urn:nbn:se:kth:diva-228186 (URN)10.1109/PESGM.2017.8274494 (DOI)000426921802170 ()2-s2.0-85046349434 (Scopus ID)978-1-5386-2212-4 (ISBN)
Conference
2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL
Note

QC 20180521

Available from: 2018-05-21 Created: 2018-05-21 Last updated: 2018-11-19Bibliographically approved

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