A novel approach of synchronization of the sustainable grid with an intelligent local hybrid renewable energy control

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 paper, 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 in the first scenario, 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, and the NPV is $ 553.68 and the IRR is 49.9. 21% with a payback period of 15.71 years. In the second scenario, with average daily fuel consumption of 0.694 L, the energy production is equivalent to 1652 kWh/year. The NPV is equal to $ 341.47 and IRR is equal to 19.5% with a ROI of 17.61 years. In the third scenario, the energy production of the system was equal to 1933 kWh/year with NPV equal to − 372.9 dollars and IRR equal to 15.08%. 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.