Application of functional modelling for monitoring of WTG in a cyber-physical environment
| Autor: | Theis Bo Rasmussen, Guangya Yang, Arne Hejde Nielsen, Zhao Yang Dong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95 |
| Zdroj: | IET Cyber-Physical Systems (2019) |
| Druh dokumentu: | article |
| ISSN: | 2398-3396 |
| DOI: | 10.1049/iet-cps.2017.0109 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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