Open AccessResearch on robust adaptive cooperative stabilisation control for doubly‐fed induction generator unit
Author(s) -
Wu Zhongqiang,
Li Feng,
Zhang Wei,
Du Chunqi
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.1080
Subject(s) - control theory (sociology) , induction generator , controller (irrigation) , generator (circuit theory) , doubly fed electric machine , computer science , dissipative system , stability (learning theory) , adaptive control , wind power , control engineering , engineering , control (management) , ac power , physics , power (physics) , voltage , agronomy , quantum mechanics , artificial intelligence , machine learning , electrical engineering , biology
In this study, an H ∞ adaptive collaborative stabilisation problem of doubly‐fed induction generator (DFIG) units with both external disturbances and parameter uncertainty has been studied based on Hamilton function, and the closed‐loop global stability and output synchronisation of the multi‐machine system are realised. Firstly, the Hamilton model of DFIG is built, and expressed as dissipative Hamilton system by pre‐feedback. Then, external disturbances and parameter uncertainties are considered, and a synchronous controller, which includes output feedback and adaptive interference suppression is designed so that the wind generator units are kept running synchronously. The controller not only realises the adaptive stability control of the non‐linear wind generator units with parameter uncertainty but also has the ability to restrain the external disturbance. The effectiveness of the controller is tested by the simulation results of two wind generator units.