Parameter Optimization And Performance Research Of Dish Stirling Solar Thermal Power Generation System Based On Improved Fast Non-dominated Sorting Genetic Algorithm

With environmental pollution and energy shortage becoming increasingly prominent,solar thermal power generation technology has gradually become an effective way to solve the energy crisis because it can convert solar thermal energy into electrical energy for the power industry.The dish-Stirling photothermal power generation system has high efficiency of photoelectric conversion,and is the most potential new energy power generation mode at present.As the dish-Stirling photothermal power generation technology is a multi-objective and multi constraint optimization problem in practical engineering application,this paper optimizes the parameters and performance of the dish-Stirling photothermal power generation system by improved non-dominated sorting genetic algorithm ?(INSGA-?).Firstly,the composition and working principle of the dish-Stirling photothermal power generation system are introduced.When solving multi-objective optimization problems,in order to ensure the diversity of population,avoid premature convergence and accelerate the convergence speed,an improved selection operator and an improved elitist retention strategy are proposed to improve the non-dominated sorting genetic algorithm ?(NSGA-?).The INSGA-? algorithm is tested by the test function,and the convergence and diversity indexes of INSGA-? and NSGA-? are compared.Secondly,considering the irreversible problems of heat leakage,heat recovery loss and various mechanical friction loss between the cold and heat sources in the cycle of Stirling system,the thermodynamic model of Stirling system is established.The output power,efficiency and pressure drop of Stirling system are optimized by using INSGA-? algorithm,and the optimal solution is selected from the optimal solution set of Pareto boundary by using TOPSIS decision-making method,and the results of multi-objective optimization and single objective optimization are compared,and the distribution of 11 decision variables in the optimization process is analyzed.Finally,the maximum output power and efficiency of Stirling engine at the optimal speed are calculated,and the thermodynamic model of dish solar power generation system including dish concentrator,receiver and Stirling engine is established.The influences of structural parameters such as engine speed,piston stroke,regenerator efficiency,volume ratio and heat source temperature on the maximum output power and efficiency of Stirling engine are analyzed.The influence of solar radiation intensity on the performance of power generation system under different wind speeds and the daily dynamic change of power generation system performance under different wind speeds are also analyzed.The results show that using INSGA-? algorithm to optimize the dish-Stirling photothermal power generation system can get more reasonable parameters,which can provide a reference for the application of dish-Stirling photothermal power generation technology in the new energy power generation industry.