Application of functional modelling for monitoring of WTG in a cyber‐physical environment

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) applica...

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Bibliographic Details
Published in:IET cyber-physical systems 2019-03, Vol.4 (1), p.79-87
Main Authors: Rasmussen, Theis Bo, Yang, Guangya, Nielsen, Arne Hejde, Dong, Zhao Yang
Format: Article
Language:English
Subjects:
Active control
active power curtailment
Alternative energy sources
Communications systems
cyber-physical environment
cyber-physical systems
Data integrity
Decentralization
demand side management
distributed energy resource modelling
Distributed generation
distributed power generation
Electricity distribution
Energy sources
Fault diagnosis
functional model
functional modelling application
generic WTG monitoring
information communication systems
Methods
Modelling
multilevel flow modelling approach
Neural networks
Nuclear power plants
Plant monitoring
Power plants
power system measurement
power system modelling approaches
power system state estimation
Process controls
Software
Software development
State estimation
state estimator
Turbogenerators
Wind farms
Wind power
wind power plant monitoring
wind power plants
wind turbine generator application
Wind turbines
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Description
Summary: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.
ISSN:2398-3396
2398-3396
DOI:10.1049/iet-cps.2017.0109