
Modified demagnetisation control strategy for low‐voltage ride‐through enhancement in DFIG‐based wind systems
Author(s) -
Senapati Manoj Kumar,
Pradhan Chittaranjan,
Nayak Paresh Kumar,
Padmanaban Sanjeevikumar,
Gjengedal Terje
Publication year - 2020
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.2019.1128
Subject(s) - low voltage ride through , stator , grid , control theory (sociology) , wind power , grid code , ac power , computer science , doubly fed electric machine , voltage , induction generator , matlab , grid connection , engineering , electrical engineering , control (management) , mathematics , geometry , artificial intelligence , operating system
The large‐scale wind energy conversion systems (WECSs) based on doubly‐fed induction generators (DFIGs) are very popular in recent years due to the numerous technical and economic benefits. With the increasing penetration level of wind energy, the latest grid codes require the DFIG‐based WECSs to remain connected to the grid under grid fault scenarios and deliver the required reactive power into the grid. However, the direct connection of the stator of the DFIG to the grid makes it prone to grid disturbances, especially to voltage sag. This study proposes a modified demagnetisation control strategy to enhance the low‐voltage ride‐through (LVRT) capability of the DFIG under grid faults. The proposed control strategy is implemented in a coordinated approach by using the existing demagnetisation control and the addition of an external resistance in the stator side of the DFIG. The demagnetisation control damps the direct current component of the stator flux and the external resistance accelerates the damping of the transient flux by decreasing the time constant and hence, enhancing the LVRT capability of DFIG. The effectiveness of the proposed control strategy is demonstrated under both symmetrical and asymmetrical grid faults simulated system through MATLAB/Simulink®. The comparative results justify the merits of the proposed methodology.