Application of functional modeling for monitoring of WTG in a cyber-physical environment

Theis Bo Rasmussen, Guangya Yang*, Arne Hejde Nielsen, Zhao Yang Dong

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Decentralization of generation and increasing utilization of information communication systems bring challenges to present power system modeling approaches. This work applies functional modeling for monitoring and modeling of distributed energy resources, with wind turbine generator (WTG) application as a case study.
First, we established a functional model of a generic WTG through the multilevel flow modeling approach. The model acts as basis of a state estimator (SE) for monitoring the WTG. Afterwards, the application of the SE is extended for wind power plant monitoring and control. The case study results show that the SE can efficiently limit the impact of information errors from different data integrity attacks during active power curtailment.
Original languageEnglish
JournalIET Cyber-Physical Systems: Theory and Applications
Volume4
Issue number1
Pages (from-to)79-87
ISSN2398-3396
DOIs
Publication statusPublished - 2018

Cite this

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title = "Application of functional modeling for monitoring of WTG in a cyber-physical environment",
abstract = "Decentralization of generation and increasing utilization of information communication systems bring challenges to present power system modeling approaches. This work applies functional modeling for monitoring and modeling of distributed energy resources, with wind turbine generator (WTG) application as a case study.First, we established a functional model of a generic WTG through the multilevel flow modeling approach. The model acts as basis of a state estimator (SE) for monitoring the WTG. Afterwards, the application of the SE is extended for wind power plant monitoring and control. The case study results show that the SE can efficiently limit the impact of information errors from different data integrity attacks during active power curtailment.",
author = "Rasmussen, {Theis Bo} and Guangya Yang and Nielsen, {Arne Hejde} and Dong, {Zhao Yang}",
year = "2018",
doi = "10.1049/iet-cps.2017.0109",
language = "English",
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pages = "79--87",
journal = "IET Cyber-Physical Systems: Theory and Applications",
issn = "2398-3396",
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Application of functional modeling for monitoring of WTG in a cyber-physical environment. / Rasmussen, Theis Bo; Yang, Guangya; Nielsen, Arne Hejde; Dong, Zhao Yang.

In: IET Cyber-Physical Systems: Theory and Applications, Vol. 4, No. 1, 2018, p. 79-87.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Application of functional modeling for monitoring of WTG in a cyber-physical environment

AU - Rasmussen, Theis Bo

AU - Yang, Guangya

AU - Nielsen, Arne Hejde

AU - Dong, Zhao Yang

PY - 2018

Y1 - 2018

N2 - Decentralization of generation and increasing utilization of information communication systems bring challenges to present power system modeling approaches. This work applies functional modeling for monitoring and modeling of distributed energy resources, with wind turbine generator (WTG) application as a case study.First, we established a functional model of a generic WTG through the multilevel flow modeling approach. The model acts as basis of a state estimator (SE) for monitoring the WTG. Afterwards, the application of the SE is extended for wind power plant monitoring and control. The case study results show that the SE can efficiently limit the impact of information errors from different data integrity attacks during active power curtailment.

AB - Decentralization of generation and increasing utilization of information communication systems bring challenges to present power system modeling approaches. This work applies functional modeling for monitoring and modeling of distributed energy resources, with wind turbine generator (WTG) application as a case study.First, we established a functional model of a generic WTG through the multilevel flow modeling approach. The model acts as basis of a state estimator (SE) for monitoring the WTG. Afterwards, the application of the SE is extended for wind power plant monitoring and control. The case study results show that the SE can efficiently limit the impact of information errors from different data integrity attacks during active power curtailment.

U2 - 10.1049/iet-cps.2017.0109

DO - 10.1049/iet-cps.2017.0109

M3 - Journal article

VL - 4

SP - 79

EP - 87

JO - IET Cyber-Physical Systems: Theory and Applications

JF - IET Cyber-Physical Systems: Theory and Applications

SN - 2398-3396

IS - 1

ER -