This paper investigates the transition of traditional electricity transmission systems into modern, low-carbon network essential for mitigating climate change and ensuring energy sustainability. The electricity sector remains a major contributor to global greenhouse gas emissions, making transmission modernization critical for large-scale integration of renewable energy sources such as solar, wind, and hydro. This study proposes a comprehensive carbon-aware control framework that integrates smart grid technologies, energy storage systems, and dynamic optimization models to enhance grid efficiency, reliability, and emissions performance. Using Ghanas power system as a case study, the research develops a MATLAB-based simulation of a 10-bus transmission network incorporating real-world generation data, load forecasting, and geographical analysis of renewable potential. Results indicate that integrating renewable energy with energy storage can reduce COsub2/sub emissions by up to 50%, from 238,000 kg to 119,000 kg, though economic viability remains challenging without policy support, subsidies, or carbon credits. The simulation also highlights the role of energy storage in smoothing intermittent generation and maintaining system stability. Financial analysis and load growth projections reinforce the need for scalable investment models and regulatory reforms to support long-term de-carbonization. The proposed framework bridges the gap between emissions metrics and grid operations, offering a robust tool for policy makers, utilities, and researchers. The findings demonstrate that a low-carbon grid is both technically feasible and environmentally necessary for a sustainable energy future.
Owusu-Nyarko et al. (Mon,) studied this question.