The research and application of global optimization algorithm plays a crucial role in energy management; however, the traditional ant colony algorithm has certain limitations in solving the global optimization problem, and its effect is not ideal Today, in the 21st century, with the increasing demand for energy and the improvement of environmental protection awareness, the traditional use of fossil fuel energy can no longer meet the requirements of sustainable development. Renewable energy, especially solar and wind, is an indispensable part of the energy mix of the future due to its clean, endless nature. However, the intermittent and unstable nature of renewable energy presents a range of technical challenges, especially in distributed generation systems. Therefore, it is particularly important to develop efficient global optimization algorithms for energy management to ensure the economy, reliability, and flexibility of distributed generation systems.