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Feasibility study of a digital measurement control algorithm for maximum power point tracking of photovoltaic arrays.

机译:用于光伏阵列最大功率点跟踪的数字测量控制算法的可行性研究。

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摘要

Photovoltaic (PV) energy is a very important resource of energy because it is essentially maintenance-free, pollution-free, and will last almost forever. However, installation cost is still quite high, and an energy conversion mechanism is required in order to interface with a load. It becomes quite important to operate these energy conversion systems at maximum power. In order to extract the maximum possible power from the PV module, a maximum power point tracking (MPPT) system is often used. Many MPPT techniques are in use today. In this thesis we propose a digital measurement control algorithm for MPPT. The solar cell produces a nonlinear current-voltage (I-V) characteristic as output. As environmental conditions change (such as irradiance or temperature) the IN characteristic also changes. Each individual IN curve (corresponding to a specific set of environmental conditions) has a "maximum-power" point at the knee of the I-V curve. This is the point where maximum power can be drawn from the solar cell. Our MPPT technique combines two concepts - windowing and hill-climbing - to perform the algorithm. First, a window is formed around the instantaneous value of solar-cell output power. When environmental conditions change, the power vacates the window, and the system is notified of this. The circuit then begins tracking to maximum power by using a hill-climbing technique. In this manner, the maximum power point can once again be obtained. The system was analyzed in detail and then constructed. The feasibility of several different state machines (the digital "brains" behind the algorithm) were investigated. While maximum power point tracking was achieved, the algorithm did not work perfectly. One of the challenges revealed through the course of this study is that it is very important that the algorithm allow for the two concepts - windowing and hill-climbing - to work successfully together. Additionally, it was concluded that it would be necessary to develop a comprehensive, systematic testing procedure for the system, where "test points" are embedded within the state machine itself.
机译:光伏(PV)能源是非常重要的能源,因为它基本上免维护,无污染,并且几乎可以永久使用。但是,安装成本仍然很高,并且为了与负载对接需要能量转换机构。以最大功率运行这些能量转换系统变得非常重要。为了从PV模块中提取最大可能的功率,经常使用最大功率点跟踪(MPPT)系统。今天,许多MPPT技术正在使用中。本文提出了一种用于MPPT的数字测量控制算法。太阳能电池产生非线性电流-电压(I-V)特性作为输出。随着环境条件的变化(例如辐照度或温度),IN特性也会变化。每个单独的IN曲线(对应于一组特定的环境条件)在I-V曲线的拐点处都有一个“最大功率”点。这是可以从太阳能电池获取最大功率的点。我们的MPPT技术结合了两个概念-加窗和爬山-执行算法。首先,围绕太阳能电池输出功率的瞬时值形成一个窗口。当环境条件发生变化时,电源会腾出窗户,并通知系统。然后,电路开始使用爬山技术跟踪到最大功率。以这种方式,可以再次获得最大功率点。该系统进行了详细分析,然后构建。研究了几种不同状态机(算法后面的数字“大脑”)的可行性。虽然实现了最大功率点跟踪,但是该算法无法完美运行。在本研究过程中揭示的挑战之一是,该算法必须使开窗和爬山这两个概念成功协同工作,这一点非常重要。另外,得出的结论是,有必要为系统开发一个全面的系统测试程序,其中“测试点”嵌入状态机本身中。

著录项

  • 作者

    Riley, Lance.;

  • 作者单位

    University of Wyoming.;

  • 授予单位 University of Wyoming.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2003
  • 页码 163 p.
  • 总页数 163
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:45:45

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