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Application of functional modelling for monitoring of WTG in a cyber‐physical environment
Author(s) -
Rasmussen Theis Bo,
Yang Guangya,
Nielsen Arne Hejde,
Dong Zhao Yang
Publication year - 2019
Publication title -
iet cyber‐physical systems: theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 7
ISSN - 2398-3396
DOI - 10.1049/iet-cps.2017.0109
Subject(s) - electric power system , computer science , steam turbine , reliability engineering , estimator , wind power , turbine , control engineering , power (physics) , engineering , mechanical engineering , statistics , physics , mathematics , electrical engineering , quantum mechanics
Decentralisation of generation and increasing utilisation of information communication systems bring challenges to present power system modelling approaches. This work applies functional modelling for monitoring and modelling of distributed energy resources, with wind turbine generator (WTG) application as a case study. First, the authors established a functional model of a generic WTG through the multilevel flow modelling 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.

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