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RISS 인기검색어
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- 저자 : Fouad Giri (검색결과 2 건)
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Modeling and Adaptive Control and Power Sharing in Islanded AC Microgrids
Mohamed Ghazzali,Mohamed Haloua,Fouad Giri 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.5
This paper deals with the problem of control and power sharing for distributed generators in AC islanded microgrids. A one-layer adaptive control strategy based on two fixed-time adaptive control methods is designed to ensure voltage and frequency regulation and reference tracking and accurate active and reactive power sharing. The main advantage of the proposed approach is accurate power sharing and voltage and frequency reference restoration before the desired pre-fixed time despite the unknown disturbances and without requiring a secondary control loop. Compared to the existing microgrid adaptive controllers such as adaptive neural network-based controllers and adaptive fuzzy logic controllers among others, the design and tuning of the proposed techniques is simple and straightforward and does not require any knowledge of the microgrid parameters, lines impedance or load power demand. The developed adaptive control law has also a simple mathematically expression and thus it’seasily implemented and does not require a heavy computational performance. A comparative simulation study with conventional secondary control and power sharing is provided to highlight the effectiveness of the control strategy in term of reference tracking, robustness to load power variations and to distributed generators plug-and-play.
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Optimization Strategies and Nonlinear Control for Hybrid Renewable Energy Conversion System
Adil Mansouri,Abdelmounime El Magri,Rachid Lajouad,Aziz Watil,Fouad Giri 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.11
This paper focuses on controlling and optimizing a hybrid renewable energy system. The complex interactions and intermittent nature of renewable sources pose challenges to grid stability, necessitating sophisticated control strategies. The system includes a photovoltaic generator and a wind energy conversion system with a permanent magnet synchronous generator. Two key innovations are presented: i) connecting the photovoltaic generator to the grid in hybridization with the wind turbine without using a DC/DC converter, simplifying the structure, reducing losses, and ensuring grid stability and reliability; and ii) designing multi-objective controllers using the maximum power point tracking method based solely on electrical parameters, leading to fewer sensors and higher reliability compared to previous methods that required additional measurements like wind speed and irradiance. To address these challenges, a multiloop nonlinear controller is proposed, employing integral sliding mode and backstepping design techniques based on an accurate nonlinear system model. The stability of the multiloop control system is ensured using a suitable Lyapunov function.
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