Abstract
The world’s energy consumption is outpacing supply due to population growth and technological advancements. For future energy demands, it is critical to progress toward a dependable, cost-effective, and sustainable renewable energy source. Solar energy, along with all other alternative energy sources, is a potential renewable resource to manage these enduring challenges in the energy crisis. Solar power generation is expanding globally as a result of growing energy demands and depleting fossil fuel reserves, which are presently the primary sources of power generation. In the realm of solar power generation, photovoltaic (PV) panels are used to convert solar radiation into energy. They are subjected to the constantly changing state of the environment, resulting in a wide range of defects. These defects should be discovered and remedied as soon as possible so that PV panels efficiency, endurance, and durability are not compromised. This paper focuses on five aspects, namely, (i) the various possible faults that occur in PV panels, (ii) the online/remote supervision of PV panels, (iii) the role of machine learning techniques in the fault diagnosis of PV panels, (iv) the various sensors used for different fault detections in PV panels, and (v) the benefits of fault identification in PV panels. Based on the investigated studies, recommendations for future research directions are suggested.
Highlights
Reliability analysis has been carried out in the field of solar energy, after taking into consideration the variation in operational and environmental conditions
Several articles have been gathered and reviewed concerning the recent advancement and research on five aspects: (i) various possible faults that occur in PV panel, (ii) online/remote supervision of PV panels, (iii) role of machine learning techniques in fault diagnosis of PV panels, (iv) various sensors used for different fault detections in PV
The various online techniques that are meant to monitor the errors occurring in PV panels based on the type of sensor used and the monitoring of the PV panels were discussed in this paper
Summary
Reliability analysis has been carried out in the field of solar energy, after taking into consideration the variation in operational and environmental conditions. The algorithm used for fault detection of a PV system can provide detailed information of current generation during the normal operating condition and, by way of corrective action, improves the performance of the solar power system through eliminating faults, thereby reducing power losses [3]. When one can find the minimum and maximum threshold for a particular fault; this method enables the prompt monitoring of the solar system [5] Another milestone in the realm of alternative energy resources was the application of infrared thermography (IRT) technology, which is a reliable, non-destructive, rapid, and cost-effective approach for determining the nature of defects in electrical installations. Coşgun et al discussed the involvement of robot vehicles in fault detection In this process, they implemented the thermal energy monitoring by using a wireless robot car equipped with an RF and thermal camera, motor, and X-bee modules for assigning commands. Future directions to improve power efficiency in PV panel by identifying the faults is provided in Section 6 followed by the conclusion and future directions regarding the monitoring of PV panels
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
