Open AccessAdaptive Maximum Power Control Based on Optimum Torque Method for Wind Turbine by Using Fuzzy-Logic Adaption Mechanisms during Partial Load Operation
Author(s) -
Youcef Saidi,
Abdelkader Mezouar,
Yahia Miloud,
Brahim Brahmi,
Kamel Djamel Eddine Kerrouche,
Mohammed Amine Benmahdjoub
Publication year - 2020
Publication title -
periodica polytechnica. electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.158
H-Index - 13
eISSN - 2064-5279
pISSN - 2064-5260
DOI - 10.3311/ppee.15155
Subject(s) - maximum power point tracking , control theory (sociology) , robustness (evolution) , maximum power principle , wind power , turbine , matlab , fuzzy logic , computer science , power optimizer , torque , power (physics) , engineering , photovoltaic system , control (management) , inverter , mechanical engineering , biochemistry , physics , chemistry , thermodynamics , quantum mechanics , artificial intelligence , electrical engineering , gene , operating system
This paper aims to increase the effectiveness of the Maximum Power Control (MPC) strategy by using a new Adaptive Maximum Power Control method (AMPC) for maximizing the power delivered by the Wind Turbine System (WTS) during partial load operation whatever the disturbances caused by variations in wind profile. The AMPC is applied to one of the frequently used Maximum Power Point Tracking (MPPT) methods called as Optimum Torque (OT) MPPT algorithm. Furthermore, the proposed AMPC strategy aims to optimize the wind energy captured by the WTS during partial load operation under rating wind speed, using Fuzzy-Logic as Adaption Mechanisms (AMPC- FLC). Additionally, the performances of the proposed improved OT-MPPT method based on AMPC-FLC are compared to the OT-MPPT method based on Conventional Maximum Power Control (CMPC-PI) under the same conditions. The robustness, dynamic performance, and fast approximation of the optimal value are proved with the numerical simulations under MATLAB/Simulink® software.