【作者】 李明；

【导师】 张美金；

【作者基本信息】 辽宁工程技术大学 ， 电气工程， 2015， 硕士

【摘要】 依据光电转换原理及等效电路,建立了光伏电池的数学模型,使用Matlab/Sim ulink软件对其建立了仿真模型并进行了仿真,分析研究其在不同光照、温度、遮阴以及串并联情况下的输出特性。在光伏电池输出特性的基础上,研究光伏发电系统的MPPT技术原理和应用。由MPPT技术原理的分析及仿真可知,在复杂环境中,传统MPPT技术存在易误判和陷入局部最优等情况。在寻优原理性分析的基础上,粒子群算法(PSO)以其简单易实现等优势而被广泛应用。为了改善基于PSO算法的MPPT方法的性能,将混沌变量引入PSO算法中,并对PSO算法中的惯性变量进行设置引导,改进PSO算法的性能。基于改进PSO算法的良好性能,将其应用于MPPT控制技术中,为实现在遮阴情况下的最大功率的准确跟踪进行了应用研究。最后验证上述方法的适用性和优越性,运用Simulink软件对基于改进PSO算法的MPPT方法和导纳增量法进行仿真。结果对比表明,基于改进PSO算法的MPPT控制方法有着很好的准确性和优越性。更多还原

【Abstract】 According to the photoelectric conversion principle, a mathematical model of photovoltaic cells is established, and a simulation model of photovoltaic cells is established and simulated by using the Matlab/Simulink software, for analyzing its output characteristics under different light, temperature, shade and series-parallel conditions.On the basis of the output characteristics of the photovoltaic cells power generation systems, this paper researches the principles and applications of MPPT technology. According to the analysis and simulation of the principle of MPPT technology, it shows that, in a complex environment, traditional MPPT technology is prone to have judges mistakes and falls into local optimum situation. Based on the principle analysis of optimization, the particle swarm optimization (PSO) is widely used for its simple and easy implementation. In order to improve the performance of the MPPT algorithm based on PSO algorithm, the chaos variable is introduced into PSO algorithm, and the inertia variables of PSO algorithm are lead to set and improve the performance of PSO algorithm. Based on the improved PSO algorithm with good performance, its application in MPPT control technology, to achieve accurate tracking the maximum power in the shade has conducted the thorough research.Finally, the applicability and advantages of the above methods are verified, and the simulation of MPPT method and admittance increment method based on the improved PSO algorithm is carried out by using Simulink software. The results show that the improved MPPT algorithm based on the PSO algorithm has good accuracy and superiority.更多还原