基于遗传算法的风光互补功率控制方法的研究

发布时间：2018-02-24 23:26

本文关键词： 最大功率跟踪遗传算法风光互补发电风光互补控制器　出处：《哈尔滨理工大学》2016年硕士论文　论文类型：学位论文

【摘要】：本课题来源于黑龙江省自然科学基金项目。清洁能源的利用仍然是当今社会最为关注的问题,当下雾霾天气的日趋严重以及随着大家对PM2.5的深入了解,使得广大人民迫切希望我们的居住环境得以改善,而空气污染的最重要的原因之一就是我国在工业化进程中对传统能源的过量消耗。安全、可靠、可循环利用的能源当数风能和太阳能,而在我国,太阳能和风能这两种资源十分富裕。由于太阳能和风能天然的此消彼长的互补性,所以将两者结合起来进行发电的优势要明显大于单一能源发电。目前风光互补发电系统的转换效率还比较低,利用最大功率跟踪技术提高太阳能和风能的利用效率,是推动风光互补发电产业降低成本和大面积应用的有效途径。本文深入分析了风能和太阳能发电系统最大功率跟踪的原理和方法,根据课题中搭建的风光互补发电控制系统的实测参数,建立了光伏电池板以及风力发电机的输出功率数学模型。本文针对现在发电站几种常用的最大功率跟踪方法的震荡问题和实时性差的问题,基于改进的遗传算法研究了一种风光互补发电系统最大功率实时跟踪的有效方法,跟踪速度快,求解精度高,实时性强,并对该算法的相关数据及其适应性进行了分析。本文对课题中设计的风光互补控制器的相关电路也做了较为详细的介绍。
[Abstract]:This subject comes from the Natural Science Foundation of Heilongjiang Province. The utilization of clean energy is still the most concerned problem in the society. The weather of haze is becoming more and more serious, and with the deep understanding of PM2.5, And one of the most important reasons for air pollution is the excessive consumption of traditional energy in our country in the course of industrialization. The renewable energy is wind energy and solar energy, and in our country, solar and wind energy are very rich. Therefore, the advantages of combining the two to generate electricity are obviously greater than that of single energy generation. At present, the conversion efficiency of the wind-to-wind complementary power generation system is still relatively low, and the maximum power tracking technology is used to improve the utilization efficiency of solar and wind energy. This paper analyzes the principle and method of maximum power tracking in wind and solar power generation systems. According to the measured parameters of the wind-wind complementary power generation control system, A mathematical model of output power of photovoltaic panels and wind turbines is established. Based on the improved genetic algorithm, an effective method of maximum power real-time tracking for wind-wind complementary generation system is studied. The tracking speed is high, the solution accuracy is high, and the real-time performance is strong. The related data of the algorithm and its adaptability are analyzed, and the related circuits of the wind complementary controller designed in this paper are also introduced in detail.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM61;TP18

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