A New MIMO ORC Approach for Wide-Area Damping Control under Data Dropouts

Amirthagunaraj Yogarathinam; Nilanjan Ray Chaudhuri

doi:10.1109/PESGM.2018.8586349

A New MIMO ORC Approach for Wide-Area Damping Control under Data Dropouts

Amirthagunaraj Yogarathinam, Nilanjan Ray Chaudhuri

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

Abstract

A new multi-input multi-output (MIMO) Observer-driven Reduced Copy (ORC) i.e. MIMO-ORC architecture is proposed to deal with the data dropout issue in wide-area damping control with multiple feedback signals and actuators. The impact of cyber-physical self-coupling and cross-coupling on deterioration of closed-loop performance with data dropout is quantified through an analytical measure. Time-domain simulations show superiority of the proposed approach over single-input single-output (SISO) ORC.

Original language	English (US)
Title of host publication	2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538677032
DOIs	https://doi.org/10.1109/PESGM.2018.8586349
State	Published - Dec 21 2018
Event	2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States Duration: Aug 5 2018 → Aug 10 2018

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Country	United States
City	Portland
Period	8/5/18 → 8/10/18

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

Access to Document

10.1109/PESGM.2018.8586349

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Cite this

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title = "A New MIMO ORC Approach for Wide-Area Damping Control under Data Dropouts",

abstract = "A new multi-input multi-output (MIMO) Observer-driven Reduced Copy (ORC) i.e. MIMO-ORC architecture is proposed to deal with the data dropout issue in wide-area damping control with multiple feedback signals and actuators. The impact of cyber-physical self-coupling and cross-coupling on deterioration of closed-loop performance with data dropout is quantified through an analytical measure. Time-domain simulations show superiority of the proposed approach over single-input single-output (SISO) ORC.",

author = "Amirthagunaraj Yogarathinam and Chaudhuri, {Nilanjan Ray}",

year = "2018",

month = dec,

day = "21",

doi = "10.1109/PESGM.2018.8586349",

language = "English (US)",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2018 IEEE Power and Energy Society General Meeting, PESGM 2018",

address = "United States",

note = "2018 IEEE Power and Energy Society General Meeting, PESGM 2018 ; Conference date: 05-08-2018 Through 10-08-2018",

}

Yogarathinam, A & Chaudhuri, NR 2018, A New MIMO ORC Approach for Wide-Area Damping Control under Data Dropouts. in 2018 IEEE Power and Energy Society General Meeting, PESGM 2018., 8586349, IEEE Power and Energy Society General Meeting, vol. 2018-August, IEEE Computer Society, 2018 IEEE Power and Energy Society General Meeting, PESGM 2018, Portland, United States, 8/5/18. https://doi.org/10.1109/PESGM.2018.8586349

A New MIMO ORC Approach for Wide-Area Damping Control under Data Dropouts. / Yogarathinam, Amirthagunaraj; Chaudhuri, Nilanjan Ray.

2018 IEEE Power and Energy Society General Meeting, PESGM 2018. IEEE Computer Society, 2018. 8586349 (IEEE Power and Energy Society General Meeting; Vol. 2018-August).

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

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N2 - A new multi-input multi-output (MIMO) Observer-driven Reduced Copy (ORC) i.e. MIMO-ORC architecture is proposed to deal with the data dropout issue in wide-area damping control with multiple feedback signals and actuators. The impact of cyber-physical self-coupling and cross-coupling on deterioration of closed-loop performance with data dropout is quantified through an analytical measure. Time-domain simulations show superiority of the proposed approach over single-input single-output (SISO) ORC.

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