Multi-objective Optimization Of CCHP System Based On Improved Quantum Genetic Algorithm

Combined Cooling,Heating and Power System as a typical distributed energy supply system has a high energy utilization rate and less pollution.However,with the increasing demand for social energy,many problems of the cogeneration system existed.In the traditional cogeneration system,the energy input t was single,and the flexibility in the operation strategy is poor.Therefore,this paper makes some improvements in the system structure and operation strategy.And then optimize the system capacity based on various evaluations by using the improved multi-objective optimization algorithm.The main research contents of this paper are as follows:(1)In terms of the structure of the cogeneration system,this paper builds the CCHP-ORC system by adding the organic Rankine cycle device and the solar energy supply system based on the traditional cogeneration system.The improved system is not only improved the diversity of system energy input,and the thermoelectric output of the system can be flexibly adjusted.The increase of equipment brings a new working mode to the system,which makes the energy utilization mode of the system more reasonable.(2)In terms of system operation strategy,this paper applies a system operation strategy based on thermoelectric ratio matching.The strategy is based on the structure of CCHP-ORC system.This chapter analyzes the specific operation mode under various conditions of the system in detail,and finally the superiority of the strategy is proved by the comparative simulation experiment with the traditional strategy in chapter 5.(3)In terms of multi-objective optimization algorithms.An improved multi-objective quantum genetic algorithm is proposed.On the basis of quantum genetic algorithm,the algorithm completes the evolutionary operation through the intersection and mutation of quantum.In the cross operation,the cellular mechanism is used to ensure the diversity of the population.Some multi-objective optimization strategies such as crowded distances,non-dominated sorting and elite strategy make the algorithm search process move closer to the pareto optimal front.(4)In terms of experiment,based on the proposed CCHP-ORC system structure,this paper sets a number of evaluation indicators with practical significance for the system.The equipment capacity was selected and simplified as the optimization variable.Finally,using the improved multi-objective optimization algorithm proposed in the paper,the multi-objective optimization of the system was carried out with the evaluation index.The thermoelectric ratio strategy was verified by comparative analysis of the optimization results under different operational strategies,and leads to the most reasonable equipment capacity configuration of the system.