Real Time Detection of Partial Shading in the Photovoltaic Systems Using New Fuzzy Logic Technique

Photovoltaic (PV) modules may not experience uniform solar irradiation due to partial shading caused by the shadows of trees, passing clouds, or nearby buildings, resulting in a loss of energy. A robust real-time monitoring system and fault detection technique are highly critical to increasing the r...

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Bibliographic Details
Published in:Applied solar energy 2022-10, Vol.58 (5), p.631-642
Main Authors: Rafique, Arslan, Ulasyar, Abasin, Zad, Haris Sheh, Khattak, Abraiz
Format: Article
Language:English
Subjects:
Circuits
Electrical Machines and Networks
Engineering
Fault detection
Fuzzy logic
Fuzzy systems
Irradiation
Photovoltaic cells
Photovoltaics
Power Electronics
Radiation
Real time
Shading
Solar energy
Solar Installations and Their Application
Solar radiation
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Summary:Photovoltaic (PV) modules may not experience uniform solar irradiation due to partial shading caused by the shadows of trees, passing clouds, or nearby buildings, resulting in a loss of energy. A robust real-time monitoring system and fault detection technique are highly critical to increasing the reliability of the PV system. This research focuses on developing real-time fault and partial shading detection techniques using Mamdani fuzzy logic for PV systems. The method has a minimal level of complexity and a high rate of fault identification. Multiple shading scenarios and open circuit fault were analyzed. Several rules have been developed in Mamdani fuzzy logic, which distinguishes between different cases. All case studies were verified through simulations and validated by establishing an experimental setup. From the simulation and experimental results, it has been demonstrated that the proposed technique has an excellent performance in detecting partial shading and fault.
ISSN:0003-701X
1934-9424
DOI:10.3103/S0003701X22600862