Résumé: This paper describes a new maximum power point tracking (MPPT) based on a variable structure “Automatic Systems approach” in order to modify and improve the conventional method perturb and observe. Therefore, the main contribution of this work is related to the developments in advanced control and management system applied to hybrid wind turbines (WT). The objective is to strengthen the extraction capacity of wind power in order to obtain an extended operational range “operating areas II and III.” In other terms, the multi-objective optimization on hybrid WT based on sophisticate control system and robust management reliable to hybrid WTs is performed to design a perfect control system. This system requires a very complicated adaptation between the second-order sliding mode control (SOSMC)-based speed control, a novel MPPT technique modified enhanced perturb and observe “MEPO,” system limitation and system energy storage. In addition, to improve the quality of the electrical energy introduced into the grid, a new efficient and robust strategy control based on direct power control-space vector modulation (DPC-SVM-SOSMC) implemented in the network side of the converter is proposed. The feasibility and effectiveness of the proposed control system and the new switching algorithm that coordinates the control (the multi-objective optimization) are validated under entire operating range (II and III). The results have showed that, compared with the conventional control system, the proposed scheme provides higher power conversion efficiency, offers better grid power quality and has better dynamic performances as well as a very robust adaptation against the uncertainties of the parameters and external disturbances.

Résumé: In this paper, we present a new approach of comprehensive MATLAB/Simulink simulator for photovoltaic generator based on a three-diode equivalent circuit, taking in consideration seven parameters and it needs only the parameters presented in the data sheet by the manufacturer. For characterisation of any photovoltaic generator, the simulator supports a large array combination with high accuracy. The results obtained by the simulator are compared with previously published simulator and the experimental data. The proposed work can be very useful for photovoltaic (PV) professionals and developers that can be interfaced with different kind of maximum power point tracking (MPPT) algorithms and power electronic converters, and its present capability with partial shading conditions (PSC).

Résumé: This paper introduces a novel control concept for hybrid photovoltaic-thermal (PV/T) systems: the Maximum Exergy Point Tracker (MEPT). The MEPT optimizes the operational conditions of PV/T systems by evaluating their exergetic and energetic performance to determine the maximum photovoltaic cell temperature that ensures at least the same exergy output as standalone photovoltaic systems. This approach is critical for the efficient design and operation of cogeneration plants, particularly in applications such as cooling, desalination, and heating, where thermal energy utilization is essential. The study investigates two scenarios—operation without solar concentration and with low solar concentration—using numerical simulations to analyze the effects of reference efficiency, temperature coefficients, and solar irradiance on system performance. Results reveal that operation with concentration significantly enhances both energetic and exergetic efficiencies while increasing the maximum operating temperature of the photovoltaic cell. For applications like adsorption cooling or membrane distillation, optimal cell parameters are identified based on reference efficiency and temperature coefficients. The findings demonstrate that low-efficiency cells with minimal temperature sensitivity are better suited for hybrid systems operating within the 60–90°C range. Furthermore, high-concentration systems enable higher operating temperatures but require careful selection of cell characteristics to avoid performance degradation. This study provides actionable insights into selecting appropriate photovoltaic cells for specific applications, advancing the optimization of hybrid PV/T systems for sustainable energy solutions.

Résumé: Environmental conditions impacting solar energy input to photovoltaic (PV) systems can vary unpredictably, complicating Maximum Power Point Tracking (MPPT). The nonlinear performance curve of PV panels further complicates the control process. To address these challenges, various MPPT techniques have been developed, improving the efficiency of solar power conversion systems. However, rapid changes in load and/or weather conditions necessitate compromises between the tracking algorithm's speed and reliability. This paper introduces a sliding mode controller to enhance the Particle Swarm Optimization-based MPPT algorithm's transient tracking performance, particularly in terms of settling and rise time. This controller eliminates the need for a PWM stage, generating the necessary pulses directly. Notably, under partial shading conditions, the proposed MPPT controller excels by efficiently identifying the global maximum power point with superior transient behavior. Comparative analysis with conventional methods demonstrates the proposed approach's enhanced performance

Résumé: olar Air condition is one of attractive application solar energy systems; in this paper we present an approach of sizing, control and optimization of air conditioner fed by photovoltaic generator based on BLDC motor and rotary compressor, for optimization system operation MPPT (maximum power point tracking) control and speed control of BLDC motor is used, the simulation results under Matlab /Simulink show effectiveness of used method when variable speed (flow) is needed, This study make a path to improve operation of solar fed air condition system driven by electrical motor