Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS)

Amirthagunaraj Yogarathinam; Jagdeep Kaur; Nilanjan Ray Chaudhuri

doi:10.1109/PESGM.2016.7741931

Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS)

Amirthagunaraj Yogarathinam
, Jagdeep Kaur
, Nilanjan Ray Chaudhuri

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

4 Scopus citations

Abstract

Network delays and data-dropouts could have a significant impact on Cyber-Physical System (CPS). In this paper power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources is considered as an example of CPS. Modeling and simulation studies are done in a power system with 151 dynamic states for stabilizing electromechanical oscillations using remote PMU signals under different rates of data dropout, fault locations, and different degrees of nonlinearity. To that end a centralized state-feedback controller is designed to modulate the current references of Doubly Fed Induction Generator (DFIG)-based wind farm (WF). Modeling adequacy studies of a representative subtransient model of the grid and the averaged model of DFIG-based WF along with the representation of packet drop in the communication network by a Gilbert-Elliot model and Bernoulli model is performed.

Original language	English (US)
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741931
State	Published - Nov 10 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: Jul 17 2016 → Jul 21 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	7/17/16 → 7/21/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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.2016.7741931

Cite this

Yogarathinam, A., Kaur, J., & Chaudhuri, N. R. (2016). Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS). In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 Article 7741931 (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741931

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title = "Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS)",

abstract = "Network delays and data-dropouts could have a significant impact on Cyber-Physical System (CPS). In this paper power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources is considered as an example of CPS. Modeling and simulation studies are done in a power system with 151 dynamic states for stabilizing electromechanical oscillations using remote PMU signals under different rates of data dropout, fault locations, and different degrees of nonlinearity. To that end a centralized state-feedback controller is designed to modulate the current references of Doubly Fed Induction Generator (DFIG)-based wind farm (WF). Modeling adequacy studies of a representative subtransient model of the grid and the averaged model of DFIG-based WF along with the representation of packet drop in the communication network by a Gilbert-Elliot model and Bernoulli model is performed.",

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

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Yogarathinam, A, Kaur, J & Chaudhuri, NR 2016, Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS). in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741931, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 7/17/16. https://doi.org/10.1109/PESGM.2016.7741931

Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS). / Yogarathinam, Amirthagunaraj; Kaur, Jagdeep; Chaudhuri, Nilanjan Ray.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741931 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

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

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T1 - Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS)

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PY - 2016/11/10

Y1 - 2016/11/10

N2 - Network delays and data-dropouts could have a significant impact on Cyber-Physical System (CPS). In this paper power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources is considered as an example of CPS. Modeling and simulation studies are done in a power system with 151 dynamic states for stabilizing electromechanical oscillations using remote PMU signals under different rates of data dropout, fault locations, and different degrees of nonlinearity. To that end a centralized state-feedback controller is designed to modulate the current references of Doubly Fed Induction Generator (DFIG)-based wind farm (WF). Modeling adequacy studies of a representative subtransient model of the grid and the averaged model of DFIG-based WF along with the representation of packet drop in the communication network by a Gilbert-Elliot model and Bernoulli model is performed.

AB - Network delays and data-dropouts could have a significant impact on Cyber-Physical System (CPS). In this paper power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources is considered as an example of CPS. Modeling and simulation studies are done in a power system with 151 dynamic states for stabilizing electromechanical oscillations using remote PMU signals under different rates of data dropout, fault locations, and different degrees of nonlinearity. To that end a centralized state-feedback controller is designed to modulate the current references of Doubly Fed Induction Generator (DFIG)-based wind farm (WF). Modeling adequacy studies of a representative subtransient model of the grid and the averaged model of DFIG-based WF along with the representation of packet drop in the communication network by a Gilbert-Elliot model and Bernoulli model is performed.

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Modeling adequacy for studying power oscillation damping in grids with wind farms and networked control systems (NCS)

Abstract

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