Desenvolvimento de monitoração na geração fotovoltaica em comunidades isoladas

Abstract

Nowadays, photovoltaic solar energy represents a significant portion of all electricity consumed in the world. It is crucial to develop tools for monitoring the solar system that aim to maintain generation productivity and mitigate security risks. This work presents a proposal for a development platform for monitoring photovoltaic generation for isolated communities, consisting of generation simulation, data transmission, database and supervisory system. The mathematical model used in the simulation is based on a system being implemented by the Automation Technology Group (GTA) at the Electrical Engineering Laboratory of the UFPA University Campus in Belém. Data are obtained by simulation and are transmitted to the cloud through a NodeMCU ESP8266 microcontroller. The computer, in addition to performing the simulation to obtain photovoltaic generation data, also accesses the clouds, acquiring data for the supervisory. The supervisory system is developed on the Internet of Things (IoT) platforms Thingspeak and Cloud Database, allowing the detection and diagnosis of failures. Measures such as solar radiation intensity, temperature, humidity, electric voltage and electric current are analyzed in order to diagnose faults. Through cloud computing, data is stored and made available in real time, with ample capacity and mobility, allowing remote monitoring of the system. Database tools with dedicated interfaces are used, as well as platforms focused on the internet of things. The photovoltaic generation is being implemented in an experimental bench, and the parameters of the simulated model have the same amplitudes as the real model, which has 1 solar panel with a maximum power of 130W, a maximum voltage of 17.6V and a maximum current of 7.39A. The perspective of this work is to improve the supply of electricity to isolated communities through remote monitoring of the generation system, with social and economic impact.