The article discusses a study that employs the Chernobyl disaster optimizer (CDO) to optimize the parameters of solid oxide fuel cells (SOFCs). By utilizing the physical behavior of elaborated radiations from the Chernobyl disaster, the CDO accurately estimates the output voltages of SOFCs. The research focuses on enhancing the precision of defining SOFCs' parameters, crucial for their integration with energy storage systems and thermal management. The study showcases the effectiveness of the CDO in achieving precise estimations, outperforming other optimization algorithms. SOFCs are highlighted for their role in renewable energy integration, emphasizing their efficiency, low emissions, and adaptability to various fuels, including hydrogen. The article also underscores the importance of developing SOFCs for industrial applications, especially with the decline of traditional fossil fuels and the need for more environmentally friendly energy solutions. Researchers aim to improve SOFCs' performance, reduce costs, and address challenges such as high operating temperatures and complex modeling. The study evaluates the CDO's performance in microgrid applications, demonstrating its effectiveness in advancing renewable energy technologies. Overall, the research underscores the potential of SOFCs and optimization techniques like the CDO in contributing to a sustainable and efficient energy landscape.