How to improve fault detection in PV systems?

Robust encryption, secure communication protocols, and anomaly detection for cybersecurity events should be integrated into fault detection frameworks. Finally, improving fault detection in PV systems through distributed or federated learning methods holds great promise for future research.

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:

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.

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.

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.

How to detect faults in PV array system?

Environment pollution and physical defect-based detection are equally important for the overall fault detection of PV array system. Further pollution detection techniques are suggested by authors for fault detection as given in Table 3.3. The values of current and voltages are gathered through sensors already mounted on PV modules.