Decentralized optimal control of inter-area oscillations in bulk power systems

Xiaofan Wu; Florian Dörfler; Mihailo R. Jovanović

doi:10.1109/CDC.2015.7403086

Decentralized optimal control of inter-area oscillations in bulk power systems

Xiaofan Wu, Florian Dörfler, Mihailo R. Jovanović

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and inter-area oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized controllers. In this paper, we depart from the modal perspective and employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our approach, we preserve rotational symmetry of the power network by allowing only relative angle measurements in the distributed controllers. We examine performance tradeoffs and robustness of sparse and block-sparse control architectures by studying the NETS-NYPS test system, and show that optimal retuning of fully-decentralized controllers can effectively guard against local and inter-area oscillations.

Original language	English (US)
Title of host publication	54rd IEEE Conference on Decision and Control,CDC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5532-5537
Number of pages	6
ISBN (Electronic)	9781479978861
DOIs	https://doi.org/10.1109/CDC.2015.7403086
State	Published - Feb 8 2015
Event	54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan Duration: Dec 15 2015 → Dec 18 2015

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Other

Other	54th IEEE Conference on Decision and Control, CDC 2015
Country/Territory	Japan
City	Osaka
Period	12/15/15 → 12/18/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Decentralized control
input-output analysis
inter-area oscillations
power systems
sparsity-promoting optimal control
synchronization
wide-area control

Publisher link

10.1109/CDC.2015.7403086

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Wu, X., Dörfler, F., & Jovanović, M. R. (2015). Decentralized optimal control of inter-area oscillations in bulk power systems. In 54rd IEEE Conference on Decision and Control,CDC 2015 (pp. 5532-5537). Article 7403086 (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7403086

Decentralized optimal control of inter-area oscillations in bulk power systems. / Wu, Xiaofan; Dörfler, Florian; Jovanović, Mihailo R.
54rd IEEE Conference on Decision and Control,CDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5532-5537 7403086 (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wu, X, Dörfler, F & Jovanović, MR 2015, Decentralized optimal control of inter-area oscillations in bulk power systems. in 54rd IEEE Conference on Decision and Control,CDC 2015., 7403086, Proceedings of the IEEE Conference on Decision and Control, vol. 54rd IEEE Conference on Decision and Control,CDC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 5532-5537, 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, 12/15/15. https://doi.org/10.1109/CDC.2015.7403086

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abstract = "In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and inter-area oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized controllers. In this paper, we depart from the modal perspective and employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our approach, we preserve rotational symmetry of the power network by allowing only relative angle measurements in the distributed controllers. We examine performance tradeoffs and robustness of sparse and block-sparse control architectures by studying the NETS-NYPS test system, and show that optimal retuning of fully-decentralized controllers can effectively guard against local and inter-area oscillations.",

keywords = "Decentralized control, input-output analysis, inter-area oscillations, power systems, sparsity-promoting optimal control, synchronization, wide-area control",

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N2 - In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and inter-area oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized controllers. In this paper, we depart from the modal perspective and employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our approach, we preserve rotational symmetry of the power network by allowing only relative angle measurements in the distributed controllers. We examine performance tradeoffs and robustness of sparse and block-sparse control architectures by studying the NETS-NYPS test system, and show that optimal retuning of fully-decentralized controllers can effectively guard against local and inter-area oscillations.

AB - In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and inter-area oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized controllers. In this paper, we depart from the modal perspective and employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our approach, we preserve rotational symmetry of the power network by allowing only relative angle measurements in the distributed controllers. We examine performance tradeoffs and robustness of sparse and block-sparse control architectures by studying the NETS-NYPS test system, and show that optimal retuning of fully-decentralized controllers can effectively guard against local and inter-area oscillations.

KW - Decentralized control

KW - input-output analysis

KW - inter-area oscillations

KW - power systems

KW - sparsity-promoting optimal control

KW - synchronization

KW - wide-area control

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BT - 54rd IEEE Conference on Decision and Control,CDC 2015

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ER -

Decentralized optimal control of inter-area oscillations in bulk power systems

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