Data packet-drop-resilient wide-area damping control using DFIG-based wind farm

Amirthagunaraj Yogarathinam, Nilanjan Ray Chaudhuri

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

Abstract

In this paper a novel Observer-driven Reduced Copy (ORC) approach is proposed to deal with communication network data-dropouts in a smart power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources, which uses knowledge of the nominal system dynamics during data dropouts to improve the damping performance under large disturbances, where the conventional feedback would suffer. To that end a reduced order 16-machine 5-area dynamic equivalent model of the New England-New York power system with replacement of one existing synchronous generator and a power system stabilizer (PSS) by a DFIG-based wind farm (WF) is considered. The problem with electromechanical oscillation damping control through WFs using locally available signals is identified and a systematic approach for selection of control input and remote feedback signals through modal analysis is presented. The remote feedback signals sent through communication channels encounter data dropout which is represented by the Gilbert-Elliott model. Moreover, an expression for the bound on the error norm between the actual and the estimated states relating data dropout and model mismatch is also derived. Nonlinear time-domain simulations demonstrate that the ORC gives significantly better performance compared to the conventional feedback under higher data drop situations.

Original languageEnglish (US)
Title of host publicationNAPS 2016 - 48th North American Power Symposium, Proceedings
EditorsDavid Wenzhong Gao, Jun Zhang, Amin Khodaei, Eduard Muljadi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509032709
DOIs
StatePublished - Nov 17 2016
Event48th North American Power Symposium, NAPS 2016 - Denver, United States
Duration: Sep 18 2016Sep 20 2016

Publication series

NameNAPS 2016 - 48th North American Power Symposium, Proceedings

Other

Other48th North American Power Symposium, NAPS 2016
CountryUnited States
CityDenver
Period9/18/169/20/16

Fingerprint

Farms
Damping
Feedback
Smart power grids
Phasor measurement units
Synchronous generators
Energy resources
Modal analysis
Wind power
Telecommunication networks
Dynamical systems
Farm
Drop out
Power system
Observer

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Yogarathinam, A., & Chaudhuri, N. R. (2016). Data packet-drop-resilient wide-area damping control using DFIG-based wind farm. In D. W. Gao, J. Zhang, A. Khodaei, & E. Muljadi (Eds.), NAPS 2016 - 48th North American Power Symposium, Proceedings [7747880] (NAPS 2016 - 48th North American Power Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAPS.2016.7747880
Yogarathinam, Amirthagunaraj ; Chaudhuri, Nilanjan Ray. / Data packet-drop-resilient wide-area damping control using DFIG-based wind farm. NAPS 2016 - 48th North American Power Symposium, Proceedings. editor / David Wenzhong Gao ; Jun Zhang ; Amin Khodaei ; Eduard Muljadi. Institute of Electrical and Electronics Engineers Inc., 2016. (NAPS 2016 - 48th North American Power Symposium, Proceedings).
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abstract = "In this paper a novel Observer-driven Reduced Copy (ORC) approach is proposed to deal with communication network data-dropouts in a smart power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources, which uses knowledge of the nominal system dynamics during data dropouts to improve the damping performance under large disturbances, where the conventional feedback would suffer. To that end a reduced order 16-machine 5-area dynamic equivalent model of the New England-New York power system with replacement of one existing synchronous generator and a power system stabilizer (PSS) by a DFIG-based wind farm (WF) is considered. The problem with electromechanical oscillation damping control through WFs using locally available signals is identified and a systematic approach for selection of control input and remote feedback signals through modal analysis is presented. The remote feedback signals sent through communication channels encounter data dropout which is represented by the Gilbert-Elliott model. Moreover, an expression for the bound on the error norm between the actual and the estimated states relating data dropout and model mismatch is also derived. Nonlinear time-domain simulations demonstrate that the ORC gives significantly better performance compared to the conventional feedback under higher data drop situations.",
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Yogarathinam, A & Chaudhuri, NR 2016, Data packet-drop-resilient wide-area damping control using DFIG-based wind farm. in DW Gao, J Zhang, A Khodaei & E Muljadi (eds), NAPS 2016 - 48th North American Power Symposium, Proceedings., 7747880, NAPS 2016 - 48th North American Power Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., 48th North American Power Symposium, NAPS 2016, Denver, United States, 9/18/16. https://doi.org/10.1109/NAPS.2016.7747880

Data packet-drop-resilient wide-area damping control using DFIG-based wind farm. / Yogarathinam, Amirthagunaraj; Chaudhuri, Nilanjan Ray.

NAPS 2016 - 48th North American Power Symposium, Proceedings. ed. / David Wenzhong Gao; Jun Zhang; Amin Khodaei; Eduard Muljadi. Institute of Electrical and Electronics Engineers Inc., 2016. 7747880 (NAPS 2016 - 48th North American Power Symposium, Proceedings).

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

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N2 - In this paper a novel Observer-driven Reduced Copy (ORC) approach is proposed to deal with communication network data-dropouts in a smart power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources, which uses knowledge of the nominal system dynamics during data dropouts to improve the damping performance under large disturbances, where the conventional feedback would suffer. To that end a reduced order 16-machine 5-area dynamic equivalent model of the New England-New York power system with replacement of one existing synchronous generator and a power system stabilizer (PSS) by a DFIG-based wind farm (WF) is considered. The problem with electromechanical oscillation damping control through WFs using locally available signals is identified and a systematic approach for selection of control input and remote feedback signals through modal analysis is presented. The remote feedback signals sent through communication channels encounter data dropout which is represented by the Gilbert-Elliott model. Moreover, an expression for the bound on the error norm between the actual and the estimated states relating data dropout and model mismatch is also derived. Nonlinear time-domain simulations demonstrate that the ORC gives significantly better performance compared to the conventional feedback under higher data drop situations.

AB - In this paper a novel Observer-driven Reduced Copy (ORC) approach is proposed to deal with communication network data-dropouts in a smart power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources, which uses knowledge of the nominal system dynamics during data dropouts to improve the damping performance under large disturbances, where the conventional feedback would suffer. To that end a reduced order 16-machine 5-area dynamic equivalent model of the New England-New York power system with replacement of one existing synchronous generator and a power system stabilizer (PSS) by a DFIG-based wind farm (WF) is considered. The problem with electromechanical oscillation damping control through WFs using locally available signals is identified and a systematic approach for selection of control input and remote feedback signals through modal analysis is presented. The remote feedback signals sent through communication channels encounter data dropout which is represented by the Gilbert-Elliott model. Moreover, an expression for the bound on the error norm between the actual and the estimated states relating data dropout and model mismatch is also derived. Nonlinear time-domain simulations demonstrate that the ORC gives significantly better performance compared to the conventional feedback under higher data drop situations.

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Yogarathinam A, Chaudhuri NR. Data packet-drop-resilient wide-area damping control using DFIG-based wind farm. In Gao DW, Zhang J, Khodaei A, Muljadi E, editors, NAPS 2016 - 48th North American Power Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7747880. (NAPS 2016 - 48th North American Power Symposium, Proceedings). https://doi.org/10.1109/NAPS.2016.7747880