Desarrollo de un módulo de gestión energética usando técnicas de inteligencia artificial para la alimentación continua de una aplicación de monitoreo ambiental a partir de paneles fotovoltaicos y baterías Li-ion.

Abstract

The current graduate research project was aimed to develop an energy management module using artificial intelligence techniques for the continuous feeding of an environmental monitoring application. The analysis of the state of the energy management systems that allows the recharging of batteries from photovoltaic panels was carried out; in addition, the necessary concepts for energy management were analyzed. For the electronic design of the management module, Matlab software was used, based on the consumption requirements of the environmental monitoring application developed for Agromakers, for which the photovoltaic panels, battery bank, DC-DC converter, and bidirectional DC-DC controller were sized. The artificial intelligence techniques allowed the implementation of a fuzzy logic control system for the management module. Through the input variables, it executes the decision-making to manage the energy of the battery bank and the energy generated from the photovoltaic panels. Through the Nowcasting technique, information on the power generated from the photovoltaic panel was acquired based on linear regression to estimate the energy generated in an immediate short term using the historical data of a displacement window. The current and estimated generation data were observed through an application generated in AppInventor with Bluetooth communication to the energy management module. The operation of the implemented system was evaluated through simulation and experimentation, both in the part of photovoltaic energy generation and the energy autonomy of the environmental monitoring application. The tests resulted in a relative error of 10% in the Projection of power generation with an autonomy of 5 days. It is recommended to consider the weather conditions and energy requirements to size the necessary equipment to implement.