风光互补发电系统控制策略与储能容量优化的研究

发布时间：2018-06-22 18:55

本文选题：风力发电 + 光伏发电　；参考：《山西大学》2014年硕士论文

【摘要】：随着经济社会的发展,科学技术在不断进步,全球资源和环境暴露出越来越多的问题。从我国能源分布情况和用电负荷地域的角度分析,国家提出要对可再生能源的高效利用。研究风能和太阳能的高效利用,自然也成为了重点。单独工作的风力发电或者光伏发电都会因为周围环境的波动,输出功率发生极大的变化,而将二者合为一个系统,即风光互补发电系统,能使两种资源合理充分利用。如何在最大程度上充分发挥二者的协调控制,是判断系统优越的重要指标。在提高系统性能的同时,系统的成本问题也是必须考虑的。本文对风光互补发电系统的控制策略和储能容量优化进行了分析和研究。首先,对风光互补发电系统的组成部件进行了理论研究。其中风力发电部分包括风速、风力机模型和风力发电量的计算；光伏发电部分包括光伏发电原理和光伏发电量的计算；储能部分包括常用储能元件原理,并对比了它们的特点。其次,通过研究太阳能光伏发电和风力发电最大功率的常用算法,根据它们的优缺点,提出一种变步长调整占空比的控制方法；分析了超级电容器与蓄电池混合使用,结果表明比单独使用蓄电池储能输出性能强。最后,以系统能量损失率LPPP和能量缺失率LPSP作为可靠性指标,提出风光互补储能系统容量优化模型,分析了系统能量损失率LPPP和能量缺失率LPSP的计算过程,给出目标函数约束条件,并通过一种改进遗传算法对目标函数求解。最后结合算例,按给定方法求解,得出本文所提出的控制方法能实现储能容量优化。
[Abstract]:With the development of economic society and the continuous progress of science and technology, more and more problems are exposed in the global resources and environment. From the point of view of the distribution of energy and the area of electricity load in China, the state proposes to use the renewable energy efficiently. The study of the efficient utilization of wind and solar energy has become a key point. The wind power generation or photovoltaic power generation will change the output power greatly because of the fluctuation of the surrounding environment, and combining the two people into a system, that is, the wind and scenery complementary power generation system, can make the two resources fully utilized. How to maximize the coordination control of the two, is an important index to judge the superiority of the system. At the same time, the cost problem of the system must be considered. In this paper, the control strategy and energy storage capacity optimization of the wind and solar power generation system are analyzed and studied. First, the component parts of the wind and wind complementary power generation system are theoretically studied. The photovoltaic generation part includes the principle of photovoltaic power generation and the calculation of the photovoltaic power generation; the energy storage part includes the principle of common energy storage components, and compares their characteristics. Secondly, by studying the common algorithms of solar photovoltaic power generation and the maximum power of the wind power generation, according to their advantages and disadvantages, a variable step length adjustment is put forward. The control method of air ratio is analyzed, and the combination of supercapacitor and battery is analyzed. The results show that the energy storage and output performance of the battery is stronger than that of the single battery. Finally, the system energy loss rate LPPP and the energy loss rate LPSP are used as the reliability index, and the capacity optimization model of the wind and solar energy storage system is put forward, and the energy loss rate LPPP and energy of the system are analyzed. The calculation process of the loss rate LPSP gives the constraint conditions of the objective function, and solves the target function by an improved genetic algorithm. Finally, a given method is solved by a given example, and the control method proposed in this paper can achieve the energy storage capacity optimization.
【学位授予单位】：山西大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM61

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