【作者】 韩志国；

【导师】 马幼捷；

【作者基本信息】 天津理工大学 ， 电气工程， 2023， 硕士

【摘要】 随着全球工业化的发展,人类对能源的需求愈发庞大,传统化石能源也面临着资源枯竭的问题,而且化石能源推动人类社会发展的同时也带来一系列气候、环境等难题,这就促使人们思考发展可再生新能源。在众多可再生新能源种类中,太阳能无疑是最具发展前景的一种新能源,具有绿色、无污染、成本低廉且取之不尽用之不竭等优点,因而受到社会各界广泛的关注。如何提高太阳能光伏发电的效率,一直是各界学者研究的热点问题。本文主要围绕光伏发电系统最大功率点跟踪(Maximum Power Point Tracking,MPPT)控制算法进行研究,对提高光伏发电系统的效率具有重要研究意义。主要内容如下:1介绍光伏电池的原理,分析了光伏电池的工程数学模型,并通过仿真研究了外界光照和温度对光伏电池输出特性的影响。阐述了光伏最大功率点跟踪控制的基本原理,分析了常见的几种MPPT控制方法,选取Boost电路实现光伏最大功率跟踪控制,建立起等效MPPT数学模型。2针对光伏电池存在的强非线性、强耦合、强时变性的特性,结合线性自抗扰控制,本文提出基于鹈鹕-线性自抗扰控制的光伏MPPT算法,由鹈鹕优化算法给出最大功率点参考电压作为线性自抗扰控制的给定输入信号,通过加入总扰动延迟微分信号改进扩张状态观测器增强对扰动的观测能力,改善了系统的动态响应,最后在MATLAB/Simulink仿真平台中,搭建模型验证,仿真结果表明本文提出线性自抗扰MPPT控制算法的良好效果。3在复杂环境局部遮阴条件下,分析了光伏阵列输出特性呈多峰曲线特性,并介绍了鹈鹕算法的基本原理。针对传统MPPT控制算法难以跟踪最大功率点的问题,本文提出将改进鹈鹕优化算法应用到最大功率跟踪控制中,通过引入学习因子和莱维飞行,增强算法全局搜索能力,避免陷入到局部最优值,提高的算法的收敛速度和稳定性,选择四种通用测试函数进行验证,最后在MATLABMATLAB/Simulink仿真平台中,仿真验证本文提出算法的有效性和可行性,结果表明,改进鹈鹕算法在复杂遮阴条件下能有效跟踪最大功率点,且具有良好的动态跟踪性能。更多还原

【Abstract】 With the development of global industrialization,human needs for energy are increasing,and traditional fossil energy is also facing the problem of resource depletion.Moreover,while fossil energy promotes the development of human society,it also brings a series of problems such as climate and environment,which prompts people to Consider the development of renewable new energy.Among the many types of renewable new energy,solar energy is undoubtedly the most promising new energy.It has the advantages of green,pollution-free,low cost and inexhaustible,so it has attracted wide attention from all walks of life.How to improve the efficiency of solar photovoltaic power generation has always been a hot topic of research by scholars from all walks of life.This paper mainly focuses on the research on the Maximum Power Point Tracking(MPPT)control algorithm of photovoltaic power generation system,which has important research significance for improving the efficiency of photovoltaic power generation system.The main contents are as follows:1 Introduce the principle of photovoltaic cells,analyze the engineering mathematical model of photovoltaic cells,and study the influence of external light and temperature on the output characteristics of photovoltaic cells and by simulation.The basic principle of photovoltaic maximum power point tracking control is expounded,several common MPPT control methods are analyzed,the Boost circuit is selected to realize photovoltaic maximum power tracking control,and an equivalent MPPT mathematical model is established.2 In view of the strong nonlinearity,strong coupling,and strong time-varying characteristics of photovoltaic cells,combined with linear active disturbance rejection control,this paper proposes a photovoltaic MPPT algorithm based on Pelican-linear active disturbance rejection control,and the maximum power is given by the Pelican optimization algorithm The point reference voltage is used as the given input signal of the linear active disturbance rejection control,and the extended state observer is improved by adding the total disturbance delay differential signal to enhance the observation ability of the disturbance and improve the dynamic response of the system.Finally,in the MATLAB/Simulink simulation platform,The model is built for verification,and the simulation results show that the linear active disturbance rejection MPPT control algorithm proposed in this paper has a good effect.3 Under the condition of partial shading in a complex environment,the output characteristics of photovoltaic arrays are analyzed as multi-peak curve characteristics,and the basic principle of the Pelican algorithm is introduced.Aiming at the problem that the traditional MPPT control algorithm is difficult to track the maximum power point,this paper proposes to apply the improved Pelican optimization algorithm to the maximum power tracking control.By introducing the learning factor and Levi’s flight,the algorithm’s global search ability is enhanced to avoid falling into the local maximum.Merit value,improved convergence speed and stability of the algorithm,four general test functions are selected for verification,and finally in the MATLAB/Simulink simulation platform,the effectiveness and feasibility of the algorithm proposed in this paper are verified by simulation.The results show that the improved Pelican algorithm It can effectively track the maximum power point under complex shading conditions,and has good dynamic tracking performance.更多还原