Open AccessAdaptive FOPI controller based on the fuzzy supervisory for wind power conversion system equipped by a doubly fed induction generator
Author(s) -
Kasbi Abdellatif,
Rahali Abderrafii
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12923
Subject(s) - control theory (sociology) , robustness (evolution) , induction generator , parametric statistics , fuzzy logic , supervisory control , control engineering , robust control , computer science , controller (irrigation) , electric power system , converters , matlab , control system , wind power , engineering , power (physics) , voltage , control (management) , mathematics , artificial intelligence , biology , quantum mechanics , agronomy , physics , electrical engineering , chemistry , operating system , biochemistry , statistics , gene
Summary Wind power systems have non‐linear dynamics and contain many uncertainties such as the parametric uncertainty and the unknown external disturbances. For these reasons, it is a crucial task to design the robust control systems to assure a robust response of wind systems during uncertainties without deteriorating the supplied power quality or stressing the static power converters. This paper designs an adaptive fractional‐order proportional‐integral (FOPI) control system for a wind power conversion system (WPCS) equipped by a doubly fed induction generator (DFIG) in the electric power grid (EPG) connected mode. The designed adaptive control system combines the robust and intelligent nature of the fuzzy supervisory system (FSS) and simple structure of FOPI controller, where the fuzzy rules are utilized to adjust the FOPI controller parameters based on the error and its rate, resulting in an adaptive fuzzy FOPI (AFFOPI) control system, which can keep the control action touch of the standard FOPI controller and, at the same time, provides the robustness during uncertainties without effect on the power quality supplied to the EPG. Pursuant to the vector control technology of the DFIG, the designed adaptive fuzzy FOPI controllers are applied in both the external loop of power control and in the internal loop of rotor current control, simultaneously. The feasibility of the presented adaptive FOPI control is validated through the numerical results obtained, under different running conditions, using the Matlab/Simulink software.