Multi-energy flow coupling system can provide solutions to the problems of independent energy supply, low cascade utilization level, energy waste and environmental pollution in traditional energy systems. The operation optimization is a key step to ensure the reliability of energy supply. Therefore, under the current "double carbon" background, a multi-objective optimization model of multi-energy flow coupling system is established based on environmental protection and comprehensive consideration of system economy and energy efficiency. Then, three objectives are weighted by analytic hierarchy process-improved entropy weight method, which is transformed into a single objective optimization model, namely collaborative optimization model. Finally, a simplified primal dual interior point method is proposed to solve the model. The results of case study show that the multi-objective collaborative optimization can optimize the comprehensive satisfaction of the system. At the same time, the convergence and global optimization ability of the simplified primal dual interior point method show good characteristics when solving the model.

multi-energy flow coupling system;multi-objective collaborative optimization;simplified primal-dual interior point algorithm