Operation Optimization Scheduling of Multi-energy System Based on Combined Power Supply of Cold, Heat and Electricity

In order to solve the situation of synergistic optimization of different energy forms, this paper researches and analyzes the combined cooling, heating and power system with the objective of system economy and environmental friendliness. The optimization model of combined cooling, heating and power system with gas turbine, gas boiler and electric chiller units is constructed, and an optimization model with the lowest sum of system operation cost and carbon dioxide treatment cost as the objective function is built, and multiple constraints are considered, and the simulated annealing method is incorporated into the particle swarm algorithm to solve the model. The results show that the improved particle swarm algorithm can simultaneously take into account the economy and environmental protection of the system, which makes the system operation more optimized and provides a preliminary basis for the subsequent planning of the energy supply system.