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

IET Cyber-Physical Systems

Zhao Yang Dong¹  Theis Bo Rasmussen²  Guangya Yang²  Arne Hejde Nielsen² 

[1] School of Electrical Engineering and Telecommunications, University of New South Wales;Technical University of Denmark;

关键词: wind turbines;    wind power plants;    power system measurement;    distributed power generation;    power system state estimation;    demand side management;    cyber-physical systems;    SE;    cyber-physical environment;    information communication systems;    power system modelling approaches;    wind turbine generator application;    functional model;    multilevel flow modelling approach;    wind power plant monitoring;    functional modelling application;    generic WTG monitoring;    distributed energy resource modelling;    state estimator;    data integrity;    active power curtailment;   

DOI  :  10.1049/iet-cps.2017.0109

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown