Monitoring and detecting faults on a set of Solar panels, using a wireless sensor network (WNS) is our contribution in this project. We have described an effective implementation of an intelligent remote monitoring system for solar Photovoltaic (PV) and wind turbine Power Conditioning Unit (PCU) which is used in a greenhouse environment. Today, with the advancements in sensor technology it is a very viable option to connect the solar energy and wind turbine systems to the cloud (internet) with the help of Internet of Things. With the softwaretechnology monitoring of vast solar panels are made easy and accurate. In existing system the data are monitored manually and noted down in notebooks and excel file. Also physical damage are monitored manually which involves more manpower cost and money. Our proposed system invokes automatic monitoring and detection of output produced and fault detection. The sensors like thermocouple, voltage and current sensors are fixed on the solar panels and the current / voltage produced are been transmitted monitored in base station (system) using Java (Netbeans). From the base station the data are updated in the public cloud after encrypting the obtained data. Finally data processing to identify the abnormal values indicating any fault can be observed using R Programming. Thus if there is any damage in the panels or wind turbine, we can perform early fault detection and measure. The result of our demonstration shows that the system can monitor store and manipulate data from solar PV PCU and also for wind turbine.
Volume 11 | 04-Special Issue
Pages: 935-939