Application of a Mathematical Model on the Hybrid Optimized Green Energy Systems
Anjun Jerry Jin, Jian Tan · Journal of Energy Science and Technology · 2024
This article investigates a mathematical model for smart microgrids that integrate several energy resources. The model is ubiquitously applicable such that it enables users and prosumers to deliver an optimal trade-off among the following three key output functions. The solutions of smart grids deliver output power, an energy benefit or cost, and carbon emissions during operations. It is imperative for smart renewable energy systems to integrate both renewable energy and energy storage technologies so that the commonly discounted solar and/or wind power issues can be addressed. Energy storage technology can ensure the production of various smart grids with stable and safe operations to counter normal power fluctuations. The investigation conducted herein yields a predictive model with a mathematical power utility matrix that is specified by a 3X3 square matrix. As a result, carbon emissions can be effectively reduced; e.g., in one case, the achieved reduction is approximately 79.6% in real time. The standard carbon emissions reach a range of 0.425kg/kWh to 0.5537 kg/kWh at the carbon peak state and nearly zero at carbon neutrality. Finally, the optimal scheduling method results in minimized carbon emissions, thus greatly benefitting the existing carbon peak and carbon neutrality goals.