
Low voltage ride through capability enhancement in a grid‐connected wind/fuel cell hybrid system via combined feed‐forward and fuzzy logic control
Author(s) -
Roy Amit Kumar,
Basak Prasenjit,
Biswal Gyan Ranjan
Publication year - 2019
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.2019.0021
Subject(s) - low voltage ride through , grid , inverter , grid code , fuzzy logic , computer science , control theory (sociology) , wind power , matlab , fuzzy control system , engineering , fault (geology) , voltage , control engineering , ac power , control (management) , electrical engineering , geometry , mathematics , artificial intelligence , seismology , geology , operating system
Fault ride through (FRT) capability is an essential practice as per the present grid code demands for grid‐connected renewable energy‐based distributed energy resources. Studies on FRT capability for grid‐connected hybrid systems are rarely found. This study considers a wind energy conversion system and a fuel cell system interconnected at a common dc bus. It proposes a new feed‐forward‐based FRT control scheme for the inverter control where new current references in dq ‐axis frame are derived by tracking the positive sequence power. The newly derived references are fed forward to the input of the current regulator of the voltage source inverter. Second, fuzzy logic‐based current controllers are suggested to improve the tracking capability of the current references in the inverter control scheme so as to enhance the FRT capability of the hybrid system as a whole. The proposed feed‐forward‐fuzzy control scheme for achieving an enhanced FRT capability is compared with the conventional dq current control and feed‐forward FRT control for various grid voltage sag tests, where the performance of the combined feed‐forward‐fuzzy control is found better. The validation of the proposed FRT control scheme is performed in MATLAB‐Simulink environment.