Modeling, Control, Optimization, and Diagnostics of Photovoltaic Systems

Deadline for manuscript submissions: 30 June 2024.

Topic Editor (1)

Luigi  Costanzo
Dr. Luigi Costanzo 
Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli, Aversa, CE, Italy
Interests: Vibration Energy Harvesting; Photovoltaic Systems; Maximum Power Point Tracking; Power Electronics; Renewable Energy Sources

Topic Collection Information

In the last years, photovoltaic systems are receiving a growing research attention due to their fundamental role in energy efficiency worldwide. The last research activities on photovoltaic systems are mainly focused on modeling, sizing and control of stand-alone and grid-connected photovoltaic systems, on centralized Maximum Power Point Tracking (MPPT) and distributed MPPT, on photovoltaic arrays reconfiguration, on storage sizing and control optimization, on detection of mismatching operating conditions, fault diagnosis and maintenance programming, on prediction and modeling of solar radiation, and output power plants forecast. On the basis of these considerations, the goal of this topic collection is to focus on the latest theoretical studies, numerical algorithms, scientific results and applications of photovoltaic systems. This topic collection has the objective of bringing together scientists adopting several approaches and working on the above topics and of promoting and sharing as much as possible top-level research in the field of photovoltaic systems. 

•    Maximum power point tracking techniques;
•    Power electronics in photovoltaic systems;
•    Sizing and optimization of photovoltaic components and systems;
•    Photovoltaic modelling;
•    Forecasting techniques;
•    Reconfiguration algorithms;
•    Faults diagnosis;
•    Mismatching detection;
•    Decision processes for grid operators.

Published Papers (1 papers)


19 September 2023

Advancing Green Hydrogen Production in Saudi Arabia: Harnessing Solar Energy and Seawater Electrolysis

The transition to clean and sustainable energy sources is crucial for combating the challenges posed by climate change. Green hydrogen, produced through renewable energy-driven electrolysis, holds significant promise as a viable clean energy carrier. The study introduces a system that leverages abundant solar energy and utilizes seawater as the feedstock for electrolysis, potentially offering a cost-effective solution. A comprehensive mathematical model, implemented in MATLAB, is employed to simulate the design and operational efficiency of the proposed green hydrogen production system. The system’s core components include solar panels as a clean energy source, an advanced MPPT charge controller ensuring optimal power delivery to the electrolyzer, and a seawater tank serving as the electrolyte source. The model combines these elements, allowing for continuous operation and efficient hydrogen production, addressing concerns about energy losses and cost-effectiveness. Results demonstrate the influence of solar irradiance on the system’s performance, revealing the need to account for seasonal variations when designing green hydrogen production facilities. Theoretical experiments are conducted to evaluate the behavior of a lithium battery, essential for stabilizing the system’s output and ensuring continuous operation during periods of low solar radiation. 

Hossam  S. AbdelMeguid *
Hossam  F. Al-johani
Zakariya F.Saleh
Abdulmalk  AAlmalki
Abdulaziz  MAlmalki
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