Modeling and Simulation of Modified MPPT Techniques under Varying Operating Climatic Conditions

Doaa Khodair, Saad Motahhir, Hazem H. Mostafa, Ahmed Shaker, Hossam Abd El Munim, Mohamed Abouelatta and Ahmed Saeed
Additional contact information
Doaa Khodair: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Saad Motahhir: Engineering, Systems and Applications Laboratory, ENSA, SMBA University, Fez 30000, Morocco
Hazem H. Mostafa: Energy and Renewable Energy Department, Faculty of Engineering, Egyptian Chinese University, Cairo 11724, Egypt
Ahmed Shaker: Engineering Physics and Mathematics Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Hossam Abd El Munim: Computer and Systems Engineering Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Mohamed Abouelatta: Electronics and Electrical Communications Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Ahmed Saeed: Electrical Engineering Department, Future University in Egypt, Cairo 11835, Egypt

Energies, 2023, vol. 16, issue 1, 1-20

Abstract: Enhancing the performance of photovoltaic (PV) systems has recently become a key concern because of the market demand for green energy. To obtain the most possible power from the solar module, it is imperative to allow the PV system to operate at its maximum power point (MPP) regardless of the climatic conditions. In this study, a comparison of distinctive Maximum Power-Point Tracking (MPPT) techniques is provided, which are Perturb and Observe (P&O) and Modified Variable Step-Size P&O, as well as Incremental Conductance (INC) and Modified Variable Step-Size INC, using a boost converter for two types of solar panels. Using MATLAB software, simulations have been performed to assess the efficiency of the solar module under several environmental conditions, standard test conditions (STCs), and sudden and ramp variations in both solar irradiance and temperature. The output power efficiency, time response, and steady-state power oscillations have all been taken into account in this study. The simulation results of the improved algorithms demonstrate an enhancement in the PV module performance over conventional algorithms in many factors including steady-state conditions, tracking time, and converter efficiency. Furthermore, a boost in the dynamic response in monitoring the MPP is observed in a variety of climatical circumstances. Moreover, the proposed P&O MPPT algorithm is implemented in a hardware system and the experimental results verified the effectiveness, regarding both fast-tracking speed and lower oscillations, of the proposed Variable Step-Size P&O algorithm and its superiority over the conventional P&O technique.

Keywords: MPPT; perturbation and observation; incremental conductance; variable step size; MATLAB-Simulink (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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