光伏发电防逆流装置的研究与设计

发布时间：2018-03-28 01:14

本文选题：光伏防逆流装置　切入点：交流采样　出处：《广西大学》2014年硕士论文

【摘要】：随着光伏发电技术的不断发展,太阳能光伏发电系统的应用环境越来越复杂。由于当光伏发电系统(特别是无逆流型光伏并网发电系统)所产生的电能进入公共电网时,容易对公共电网造成冲击,甚至会导致公共电网电能质量严重下降。所以根据国家标准Q/GDW480-2010《光伏电站接入电网技术规定》,这类光伏发电系统必须配套加装防逆流设施,用来防止“逆流”进入公共电网的发生。因此,光伏防逆流装置的使用与智能化设计变得更为重要。本文在分析无逆流型光伏并网发电系统特性的基础上,分析比较了多种交流采样算法的特点,综合智能光伏防逆流装置的各种需求,选择了快速傅里叶算法作为采样环节的算法。控制器的主控芯片为ARM单片机LPC1768,防逆流装置主要包括电流电压采样电路,模块电源电路,遥信输入电路,控制输出电路、时钟调电路,按键与显示电路等部分。本装置实现了对光伏发电系统逆功率现象的监控、保护作用。本文对交流采样算法的对比分析及光伏防逆流装置的硬件设计做了重点阐述,最后通过针对性的实验,验证了该装置的可行性。
[Abstract]:With the development of photovoltaic technology, the application environment of solar photovoltaic system is more and more complicated. This kind of photovoltaic power generation system must be equipped with anti-current facilities according to the national standard Q/GDW480-2010, "Technical regulations for photovoltaic power station access to the power grid," which can easily impact the public power grid, and even lead to a serious decline in the power quality of the public power grid. Therefore, the use and intelligent design of photovoltaic anti-current device become more important. Based on the analysis of the characteristics of no-countercurrent photovoltaic grid-connected generation system, The characteristics of various AC sampling algorithms are analyzed and compared, and various requirements of intelligent photovoltaic anti-current device are analyzed and compared. The main control chip of the controller is ARM single chip microcomputer LPC1768. The anti-current device mainly includes current and voltage sampling circuit, module power supply circuit, remote signal input circuit, control and output circuit. The device realizes the monitoring of the inverse power phenomenon of photovoltaic power generation system, such as clock adjusting circuit, keystroke and display circuit, etc. In this paper, the comparative analysis of AC sampling algorithm and the hardware design of photovoltaic anti-current device are emphasized. Finally, the feasibility of the device is verified through targeted experiments.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM615

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