Energy saving control of air conditioning system based on an external reference optimization algorithm

Analyses the shortcomings of the current energy consumption optimization algorithm for air conditioning system, and proposes a multi-objective particle swarm optimization (PSO) algorithm according to the characteristics of non-linearity and time delay of air conditioning system. Divides the air conditioning system into three target solutions, and finds the multi-objective optimal Pareto frontiers. According to Pareto frontiers, obtains the optimal value of overall energy consumption of air conditioning system. Because the convergence of the ordinary multi-objective PSO algorithm is relatively poor and the simulation time is too long, proposes an external reference multi-objective PSO algorithm to improve the convergence and rapidity. The simulation experiment and energy consumption analysis show that compared with other algorithms, the optimization and energy saving effect of the improved algorithm is better.