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Novel Nonlinear Control and Optimization Strategies for Hybrid Renewable Energy Conversion System
Author(s) -
Zakariae Jai Andaloussi,
Abdelhadi Raihani,
Abdelmounime El Magri,
Rachid Lajouad,
Abderrahim El Fadili
Publication year - 2021
Publication title -
modelling and simulation in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 20
eISSN - 1687-5591
pISSN - 1687-5605
DOI - 10.1155/2021/3519490
Subject(s) - control theory (sociology) , converters , photovoltaic system , maximum power point tracking , backstepping , renewable energy , robustness (evolution) , engineering , control engineering , sliding mode control , hybrid system , computer science , wind power , nonlinear system , inverter , voltage , control (management) , adaptive control , electrical engineering , biochemistry , chemistry , physics , artificial intelligence , quantum mechanics , machine learning , gene
This article deals with a hybrid renewable energy conversion system (HRECS) interconnected to the three-phase grid in association with their power conversion components, i.e., AC/DC rectifier and DC/AC inverter. The HRECS is built around a permanent magnet synchronous wind turbine generator and a photovoltaic energy conversion system. Comparing to traditional control methods, a new multiobjective control strategy is developed to enhance system performances. This makes it possible to account in addition to optimal turbine speed regulation and PV-MPPT and three other important control objectives such as DC-link voltage regulation and the injected reactive power in the grid. To achieve these objectives, a novel control strategy is developed, based on a nonlinear model of the whole “converters-generators” association. The robustness and the stability analysis of the system have been proved using the Lyapunov theory and precisely the backstepping control and the sliding mode control. The performances of the proposed controllers are formally analyzed with respect to standard control solutions illustrated through simulation.

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