Sustainable Grid With An Intelligent Local Hybrid Renewable Energy Control Using IoT

Abstract

Energy management, emission reductions, and sustainable development are directly linked. The use of renewable energy and intelligent control systems serves two goals: sustainable development and energy supply. In this project, we propose an improved intelligent hybrid renewable energy management system to utilize local renewable energy. The penetration of renewable energy in this study starts from 20 and 50% and reaches 100%. The innovation of this research is the use of a dynamic decision algorithm in an intelligent system microcontroller that can determine the maximum possibility of hybridization of local solar and wind energy sources and optimize the electricity demand of the residential unit. The results show that the proposed control strategy, with average daily fuel consumption of 1.11 L, the total energy produced by the hybrid renewable energy conversion system is equal to 1697 kWh/year. The intelligent power control system received the electricity generated by the renewable energy subsystems and provides the electricity needed by the green cottage based on the proposed decision algorithm.