A comparative study on wide-area damping controllers using multiple DFIG-based wind farms under intermittent observations

Amirthagunaraj Yogarathinam, Nilanjan Ray Chaudhuri

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

Abstract

In this paper specific attention is focused on wide-area oscillation damping control of a power grid with substantial penetration of large-scale inverter-interfaced wind energy resources using remote feedback signals. These signals sent through communication channels encounter data dropout, which is represented by the Gilbert-Elliott model. Performance of three different control techniques are compared: Conventional Feedback Control (CFC), an Observer-driven Reduced Copy (ORC) approach, and Modified Kalman Filtering (MKF). ORC uses the knowledge of the nominal system dynamics during data dropouts to improve the damping performance whereas MKF adapts the updation step according to data drop. An expression for the expectation of the bound on the error norm between the actual and the estimated states relating uncertainties in the cyber system due to data dropout and physical system due to change in operating conditions is also derived for ORC. Nonlinear timedomain simulations are carried out to compare the performance of CFC, MKF, and ORC under higher data drop scenarios.

Original languageEnglish (US)
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)9781538622124
DOIs
StatePublished - Jan 29 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: Jul 16 2017Jul 20 2017

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2018-January
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2017 IEEE Power and Energy Society General Meeting, PESGM 2017
CountryUnited States
CityChicago
Period7/16/177/20/17

Fingerprint

Farms
Feedback control
Damping
Controllers
Energy resources
Wind power
Dynamical systems
Feedback
Uncertainty

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Yogarathinam, A., & Chaudhuri, N. R. (2018). A comparative study on wide-area damping controllers using multiple DFIG-based wind farms under intermittent observations. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (pp. 1-5). (IEEE Power and Energy Society General Meeting; Vol. 2018-January). IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8274377
Yogarathinam, Amirthagunaraj ; Chaudhuri, Nilanjan Ray. / A comparative study on wide-area damping controllers using multiple DFIG-based wind farms under intermittent observations. 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Computer Society, 2018. pp. 1-5 (IEEE Power and Energy Society General Meeting).
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Yogarathinam, A & Chaudhuri, NR 2018, A comparative study on wide-area damping controllers using multiple DFIG-based wind farms under intermittent observations. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Power and Energy Society General Meeting, vol. 2018-January, IEEE Computer Society, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 7/16/17. https://doi.org/10.1109/PESGM.2017.8274377

A comparative study on wide-area damping controllers using multiple DFIG-based wind farms under intermittent observations. / Yogarathinam, Amirthagunaraj; Chaudhuri, Nilanjan Ray.

2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Computer Society, 2018. p. 1-5 (IEEE Power and Energy Society General Meeting; Vol. 2018-January).

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

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Yogarathinam A, Chaudhuri NR. A comparative study on wide-area damping controllers using multiple DFIG-based wind farms under intermittent observations. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Computer Society. 2018. p. 1-5. (IEEE Power and Energy Society General Meeting). https://doi.org/10.1109/PESGM.2017.8274377