IOT based Autonomous Demand Side Management of a Micro-Grid using Arduino and Multi Agent System

This paper aims to establish an Arduino and IOT based Multi Agent System (MAS) for progressive demand side response of a solar micro-grid. High penetration of renewable energy resources needs new coordination and control approaches to meet the stochastic nature of the environment and dynamic loadings. Here, a Multi Agent System is used for an improvised and strengthened, distributed, self-governing energy management of the micro-grid to dynamically and flexibly adapt to the changes in the environment. Our micro-grid contains two solar Photo Voltaic (PV) system, local consumer, and a battery. A simulation model is developed in Java Agent Development Environment (JADE) for dynamic and effective energy administration, which takes an informed decision and chooses the most feasible action to stabilize, sustain and enhance the solar micro-grid. Moreover, environment variables are sensed through Arduino microcon-troller and given to agents of MAS in an IOT environment. The resulting actions are reflected in the LED out puts which can be readily deployed in the actual field. This work basically presents an approach that makes it possible to integrate IoT devices to a MAS environment, for an upsurge in the level of integration and interoperability of a smart micro grid.