Abstract
This paper reviews various faults that exist in large solar Photovoltaic (PV) systems. The faults are reviewed in their various classes based on the location and structure. Conventional solutions for fault detection and various research work in PV system monitoring and fault detection are reviewed. It is obvious that PV module level monitoring exhibit advantages over array or string monitoring. Therefore, the paper proposes the use of Long Range (LoRa) Wireless Sensor Networks (WSN) for PV module level monitoring and fault diagnosis. LoRa was proposed for this application due to the advantages it has over other wireless technologies which include long range of data transfer, low cost, low power consumption and multi sensor connection capabilities.
Highlights
This paper reviews various faults that exist in large solar Photovoltaic (PV) systems
This paper proposes to apply the Long Range (LoRa) Wireless Sensor Networks (WSN) for this purpose
LoRa Wireless Sensor Network was proposed as an effective solution for the development of a low-cost PV module level monitoring and fault diagnosis
Summary
Energy demand is constantly on the rise due to increase in industrial activities, socio-economic activities, and lifestyles This has made research into green energy a necessity. Solar energy no doubt is a very important source of renewable energy Since they are installed in outdoor environment, with exposure to harsh climatic and environmental conditions, the optimal performance of the solar system may be reduced. In [1], it was reported that an annual power loss due to fault is about 18.9% To address these faults, a complete knowledge of meteorological data is essential, constant monitoring of solar modules is crucial. In [3], the authors mentioned that diagnosis method can be based on characteristics curve deviation analysis This involves a comparison between the experimental measurements and model-based data of the PV system
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More From: European Journal of Electrical Engineering and Computer Science
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