Why do PV systems need a fault detection system?

They enhance fault diagnosis accuracy, operational efficiency, and scalability, contributing to maintaining PV systems reliability, reducing downtime, and optimizing maintenance schedules. The integration of our approach facilitates real-time fault detection and diagnosis, enabling prompt responses to system anomalies.

Why do PV panels need a fault diagnosis tool?

Continuous determination of faults must be carried out to protect the PV system from different losses, so a fault diagnosis tool is essential to the reliability and durability of the PV panels. Fault detection and diagnosis (FDD) methodologies include three main approaches as shown in Fig. 3.

Why is fault diagnosis important for photovoltaic systems?

The reliable performance and efficient fault diagnosis of photovoltaic (PV) systems are essential for optimizing energy generation, reducing downtime, and ensuring the longevity of PV installations.

Are faults a problem in solar PV systems?

PV faults in solar PV array results significant power loss, lower reliability, very fast panel degradation, and further risk of fire (Gokmen et al. 2013 ). This chapter presents a comprehensive literature review along with a critical analysis of fault diagnosis and condition monitoring for solar PV systems. Major contributions are:

Can a fault analysis tool be used for building integrated PV systems?

Hachana et al. developed a diagnosis tool for Building Integrated PV (BIPV) systems, based mainly on a look-up table. The designed tool can be used for detecting possible faults in PVA by analysing the I-V characteristics. Several fault scenarios have been carried out.

Are model-based fault detection methods effective in PV systems?

Additionally, the review emphasizes the significance of data acquisition and monitoring in PV systems for successful fault detection. The application of model-based fault detection methods in PV systems, while demonstrating efficacy, is not without its limitations.