Open AccessSpeed recovery strategy for the inertia response control of DFIGs: extended state observer based approach
Author(s) -
Liu Zhangwei,
Shen Chen,
Liu Feng,
Mei Shengwei,
Yao Yaxin
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0355
Subject(s) - control theory (sociology) , inertia , turbine , wind power , induction generator , electric power system , robustness (evolution) , observer (physics) , rotor (electric) , control engineering , automatic frequency control , computer science , wind speed , engineering , power (physics) , control (management) , physics , mechanical engineering , telecommunications , biochemistry , chemistry , electrical engineering , classical mechanics , quantum mechanics , artificial intelligence , meteorology , gene
The inertia response control (IRC) of doubly‐fed induction generators is capable of providing the power system with controlled inertia by releasing mechanical power to or absorbing electrical power from the system when the system frequency experiences sudden changes. However, it will result in deviation of the rotor speed from the optimal working point and unexpectedly reduce the captured wind power. To restore the rotor speed as quickly after an IRC action as possible, in this study, the authors derive a novel rotor speed recovery strategy based on the extended state observer (ESO) technique. They first develop two ESOs to accurately estimate the captured wind power by the wind turbine and the system unbalance power, respectively. They then synthesise the rotor speed recovery strategy based on such estimates, including the optimal recovery timing and the control modes as well as the associated switching logics. Detailed simulations carried on PSCAD/EMTDC show that the authors’ controller outperforms the traditional proportional–integral controller in the aspects of dynamical performance, the robustness to varying working conditions and the capability to prevent the system frequency from a second drop.