Challenges of model reduction in modern power grid with wind generation

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

1 Citation (Scopus)

Abstract

This paper presents the challenges of model order reduction of modern power grids with inverter-interfaced wind generation. To that end, a widely used model reduction technique called Balanced Truncation (BT) is compared with a relatively new moment matching approach known as the Iterative Rational Krylov Algorithm (IRKA). It is demonstrated that both BT and IRKA can produce an acceptable accuracy during model reduction for power grids with synchronous generators whereas IRKA produces better accuracy when Doubly Fed Induction Generator (DFIG)-based wind generation is considered.

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

Asynchronous generators
Synchronous generators
Grid
Generator
Induction

All Science Journal Classification (ASJC) codes

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

Cite this

Kaur, J., & Chaudhuri, N. R. (2016). Challenges of model reduction in modern power grid with wind generation. In D. W. Gao, J. Zhang, A. Khodaei, & E. Muljadi (Eds.), NAPS 2016 - 48th North American Power Symposium, Proceedings [7747981] (NAPS 2016 - 48th North American Power Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAPS.2016.7747981
Kaur, Jagdeep ; Chaudhuri, Nilanjan Ray. / Challenges of model reduction in modern power grid with wind generation. 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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Kaur, J & Chaudhuri, NR 2016, Challenges of model reduction in modern power grid with wind generation. in DW Gao, J Zhang, A Khodaei & E Muljadi (eds), NAPS 2016 - 48th North American Power Symposium, Proceedings., 7747981, 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.2016.7747981

Challenges of model reduction in modern power grid with wind generation. / Kaur, Jagdeep; 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. 7747981 (NAPS 2016 - 48th North American Power Symposium, Proceedings).

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

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N2 - This paper presents the challenges of model order reduction of modern power grids with inverter-interfaced wind generation. To that end, a widely used model reduction technique called Balanced Truncation (BT) is compared with a relatively new moment matching approach known as the Iterative Rational Krylov Algorithm (IRKA). It is demonstrated that both BT and IRKA can produce an acceptable accuracy during model reduction for power grids with synchronous generators whereas IRKA produces better accuracy when Doubly Fed Induction Generator (DFIG)-based wind generation is considered.

AB - This paper presents the challenges of model order reduction of modern power grids with inverter-interfaced wind generation. To that end, a widely used model reduction technique called Balanced Truncation (BT) is compared with a relatively new moment matching approach known as the Iterative Rational Krylov Algorithm (IRKA). It is demonstrated that both BT and IRKA can produce an acceptable accuracy during model reduction for power grids with synchronous generators whereas IRKA produces better accuracy when Doubly Fed Induction Generator (DFIG)-based wind generation is considered.

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M3 - Conference contribution

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Kaur J, Chaudhuri NR. Challenges of model reduction in modern power grid with wind generation. 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. 7747981. (NAPS 2016 - 48th North American Power Symposium, Proceedings). https://doi.org/10.1109/NAPS.2016.7747981