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Performance improvement of DFIG‐based wind farms using NARMA‐L2 controlled bridge‐type flux coupling non‐superconducting fault current limiter
Author(s) -
Islam Md. Rashidul,
Hasan Jakir,
Hasan Md. Mahmudul,
Huda Md. Najmul,
Hossain Sadi Mohammad Ashraf,
AbuHussein Ahmed
Publication year - 2020
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.2019.1917
Subject(s) - fault current limiter , controller (irrigation) , fault (geology) , control theory (sociology) , engineering , pid controller , matlab , electrical engineering , computer science , control engineering , power (physics) , electric power system , physics , control (management) , quantum mechanics , artificial intelligence , seismology , geology , temperature control , agronomy , biology , operating system
Doubly‐fed induction generators (DFIGs) have drawn prominent interest in the field of wind power generation, but they are vulnerable to grid faults. Grid codes mandate DFIGs to employ a sort of fault ride‐through (FRT) technique during faults. Fault current limiters (FCLs) always help to augment the FRT capability of DFIGs and a non‐linear controller boosts their performances. In this study, a non‐linear auto‐regressive moving average‐L2 (NARMA‐L2) controller‐based bridge‐type flux coupling non‐superconducting FCL (BFC‐NSFCL) is proposed to enhance the FRT capability of the wind farm. The authors analysed the performance of the proposed NARMA‐L2‐based BFC‐NSFCL (NL2‐BFC‐NSFCL) against that of the conventionally used series dynamic braking resistor (SDBR), bridge‐type FCL (BFCL), and proportional–integral (PI) controller‐based BFC‐NSFCL (PI‐BFC‐NSFCL). They tested the performance of the NL2‐BFC‐NSFCL through multiple temporary and permanent fault scenarios and carried out the mathematical and graphical analysis in MATLAB/Simulink platform. They found that the proposed NL2‐BFC‐NSFCL's performance surpasses the performances of the SDBR, the BFCL, and the PI‐BFC‐NSFCL. Moreover, the NL2‐BFC‐NSFCL has faster system recovery capability after the occurrence of any fault than other competitors.