Remote Monitoring System for Solar Power Panels using Intelligent Sensors Network

Improving pre-installed monitoring system for a set of Photovoltaic (PV) panels, using wireless sensor network (WNS) with embedded fuzzy controller, is our contribution in this work in order to control and detect faults within solar panels that affect considerably the energy produced by the solar panels. The new solution is to integrate the detection and classification of faults within the sensors node. The proposed classifier based on Fuzzy logic controller is integrated within the Node. The WSN nodes are implemented with appropriate sensors for more often occurred faults on the solar power panels. A simulation has been done on nodes distribution and a study for the design of a node with appropriate sensors taking into account the priorities of the processing faults. The primary results of simulation are very encouraging in point of fast detection of faults with minimum computation and minimum data transmission.