In view of the complex distributed energy systems, a multi-energy multi-objective joint optimization model covering economy, environmental protection, and output constraints (including ramp rates) is constructed; Firstly, decomposing the overall model into independent subsystems based on coordination optimization theory; and then using improved multi-objective algorithms to solve each subsystem to obtain Pareto optimal solution sets; Finally, integrating them into a global scheme. This method significantly improves system optimization efficiency, provides scientific support for decision-making, and promotes sustainable energy development.

Technology provider:Nanjing University of Posts and Telecommunications