Comprehensive Energy System Optimization Based on CIPSO Algorithm

With the proposal of the “dual carbon” policy, the importance of concepts such as energy conservation and environmental protection has been increased. In order to reduce the operating cost of the system and reduce the emission of wind and light, and carbon dioxide emissions, a comprehensive energy system containing P2G equipment and carbon capture equipment was constructed. Taking the improved integrated energy system as an example, the improved particle swarm algorithm (CIPSO) is used to solve the integrated energy system model, and the impact of P2G equipment and carbon capture equipment participating in the integrated energy system on the total system cost, carbon transaction cost and gas purchase cost are analyzed, and the results prove the rapidity and accuracy of the improved algorithm for solving the objective function.