Adaptive Maximum Power Control Based on Optimum Torque Method for Wind Turbine by Using Fuzzy-Logic Adaption Mechanisms during Partial Load Operation

Autor:	Mohammed Amine Benmahdjoub, Yahia Miloud, Abdelkader Mezouar, Youcef Saidi, Kamel Djamel Eddine Kerrouche, Brahim Brahmi
Rok vydání:	2020
Předmět:	Maximum power principle Computer Networks and Communications Computer science Control theory Signal Processing Control (management) Torque Electrical and Electronic Engineering Turbine Fuzzy logic Software Computer Science Applications Information Systems
Zdroj:	Periodica Polytechnica Electrical Engineering and Computer Science. 64:170-178
ISSN:	2064-5279 2064-5260
DOI:	10.3311/ppee.15155
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7168d5f043f4a4e33f2804166fa64d57 https://doi.org/10.3311/ppee.15155 Zobrazit plný text záznamu