Photovoltaic and Battery Systems Control and Monitoring for Energy Management using IoT

Abstract

With the massive integration of solar photovoltaic installations in distribution networks, thanks to their cost which has decreased on a global scale, great interest has been directed towards the implementation of sophisticated systems of monitoring, control and automation of these units remotely using the Internet of Things (IoT). The main objective of this work is to implement a low-cost, secure, interoperable and scalable system to monitor photovoltaic installations and battery energy storage systems, integrated into distribution networks, in real time and to control them remotely for an optimal management of energy. An architecture, based on IoT technology and the Message Queuing Telemetry Transport protocol (MQTT), has been proposed and tested on a simple photovoltaic system in order to transmit the monitored data over the Internet and display them on a graphical interface. These collected data will also be used to feed the optimization and energy management algorithm, which aims to choose the optimal combination of production units having a low energy cost. Orders can therefore be sent from the interface to these units in order to execute the optimal decision of the algorithm.