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Modeling and control of photovoltaic generating station.

机译：光伏发电站的建模和控制。

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摘要

This dissertation presents the study of modeling and control of a photovoltaic (PV) based distributed generation (DG) system. The PV based DG system consists of PV and associated power electronic converters necessary for the connection of the system with the grid and to control the power flow from the PV arrays to the grid.;To optimize the energy output from the PV source, maximum available energy from the sun must be trapped. In order to achieve that, the PVs should be installed at a particular angle with the earth’s surface called the tilt angle. An artificial neural network (ANN) is proposed to estimate the optimal tilt angle for the PV installation at the site along with the irradiation received. This data is used to estimate the power available from the PV station on a particular date and time.;Mathematical modeling of PV source is important for simulation study of PV system. First, the estimation of parameters of single diode PV model for a module is performed with the adjustment of the parameters with irradiance and temperature. Then the same model is extended for arrays. With the parameters estimated, a technique to estimate the maximum power point (MPP) is proposed. The single diode model has a voltage-current relationship which is transcendental in nature. To simplify the computation, the Thevenin's equivalent model of the PV is proposed.;For system planning and operation control, the amount of power available from PV station should be estimated for a date and time. In this dissertation, the power available from PV stations with and without boost converters using estimated irradiance is illustrated. It is demonstrated that by using power electronic converters of different voltage levels at different times of the day, the power available from the PV station is increased, therefore, power converters with different voltage levels for different irradiance is proposed to increase the available energy from PV station.;Once the PV is installed, it is desired that the PV operates at MPP. The control aimed to achieve that is called maximum power point tracking (MPPT). This control can be achieved with the help of two different converters: 1) the DC/DC boost converter which is used for boosting the PV voltage to a level acceptable to the inverter is used for MPPT, or, 2) the PV can be directly connected to the inverter when the voltage is sufficiently high, in this case, the inverter can be used for MPPT. In this dissertation, both of these schemes are studied and compared for dynamic response. The proposed DG system consists of the PV connected directly to the inverter or through a boost converter. The inverter is connected to the grid through an L-C filter and a transformer. State space models of the boost converter and inverter in combination with the filter and transformer has been developed for the purpose of studying dynamic behavior of the system.
机译：本文提出了基于光伏的分布式发电系统的建模与控制的研究。基于光伏的DG系统包括光伏和相关的电力电子转换器，这些电力转换器是系统与电网之间的连接以及控制从光伏阵列到电网的功率流所必需的;为了优化从光伏电源输出的能量，最大可用功率太阳的能量必须被捕获。为了实现这一点，应该将PV安装在与地球表面成特定角度的位置，称为倾斜角。提出了一个人工神经网络（ANN）来估计现场光伏装置的最佳倾斜角度以及所接收到的辐射。该数据用于估计特定日期和时间从光伏电站获得的功率。;光伏电源的数学建模对于光伏系统的仿真研究非常重要。首先，通过用辐照度和温度调整参数来执行模块的单个二极管PV模型的参数估计。然后，将同一模型扩展为数组。通过估计参数，提出了一种估计最大功率点（MPP）的技术。单二极管模型具有本质上超越的电压-电流关系。为了简化计算，提出了戴维南光伏的等效模型。为了进行系统规划和运行控制，应估算出光伏电站可用的日期和时间。本文阐述了使用估计辐照度的有无升压转换器的光伏电站的可用功率。结果表明，通过在一天的不同时间使用不同电压水平的电力电子转换器，可以增加光伏电站的可用功率，因此，建议针对不同辐照度使用不同电压水平的功率转换器来增加光伏的可用能量一旦安装了PV，则希望PV在MPP下运行。旨在实现这一目标的控制称为最大功率点跟踪（MPPT）。可以通过两个不同的转换器来实现此控制：1）用于将PV电压提升到逆变器可接受的水平的DC / DC升压转换器用于MPPT，或者2）PV可以直接使用当电压足够高时连接到逆变器，在这种情况下，逆变器可用于MPPT。本文对这两种方案进行了研究，并对其动态响应进行了比较。提议的DG系统由直接连接到逆变器或通过升压转换器的PV组成。逆变器通过L-C滤波器和变压器连接到电网。为了研究系统的动态行为，已经开发了升压转换器和逆变器以及滤波器和变压器的状态空间模型。

著录项

  • 作者

    Chatterjee, Abir.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 210 p.
  • 总页数 210
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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