首页> 外文学位 >Robust Adaptive Nonlinear Control of Microgrid Frequency and Voltage in the Presence of Renewable Energy Sources =Contrôle robuste non linéaire adaptatif de la fréquence et la tension du microréseau en présence des sources d'énergie renouvelables
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Robust Adaptive Nonlinear Control of Microgrid Frequency and Voltage in the Presence of Renewable Energy Sources =Contrôle robuste non linéaire adaptatif de la fréquence et la tension du microréseau en présence des sources d'énergie renouvelables

机译:在存在可再生能源的情况下,微电网的频率和电压的鲁棒自适应非线性控制=在存在可再生能源的情况下,微电网的频率和电压的鲁棒自适应非线性控制

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摘要

Global warming of the planet and air pollution have prompted an increased use of renewable energy sources for power generation. These new sources of clean energy are now very much in demand for setting up microgrids that provide energy independence to communities far from major urban centers. These microgrids should be able to operate either in isolated mode or to be connected to the main power grid. These requirements pose significant challenges. Indeed, in isolated mode, small and medium power grids are very sensitive to fluctuations in consumer power use as well as changes in the power produced by generators. In grid-connected mode, renewable energy sources do not contribute to the grid's stability and robustness as well as conventional generators do.;Photovoltaic power plants pose some challenges when integrated with the power grid. The PV plants always focus on extracting the maximum power from the arrays. This makes the PV system unavailable for helping in regulating the grid frequency as compared to conventional generators. One of the main objectives of this research is to develop a robust adaptive nonlinear control technique which provides frequency regulation functionality to PV systems as well as voltage regulation.;A small-scale power microgrid incorporating photovoltaic generators, synchronous generator and load is considered in our study. Dynamic models of the proposed microgrid were determined. The final model highlights the interactions between the sources of renewable energy and the rest of the network. A new robust adaptive nonlinear (exact input-output feedback linearization) control strategy was developed in order to meet the requirement of frequency regulation as well as voltage regulation. The new control strategy allows the PV system to have a similar response to changes in microgrid frequency as that of a conventional generator. The controller is also self-adjusting (adaptive) as well as robust in order to compensate the perturbation due to the changes in users' power consumption, or any defects in the MG electrical network. The performance of the proposed solutions was evaluated in simulation using the Matlab/Simulink. For further verification, a small-scale laboratory experimental prototype of proposed microgrid was developed in laboratory to implement the proposed technique.;This research may be regarded as an important basis for the development of microgrid power station for remote communities isolated from the main power system or large-scale power network with higher penetration of renewable energy sources.
机译:地球的全球变暖和空气污染促使人们越来越多地使用可再生能源来发电。现在非常需要这些新的清洁能源,以建立微电网,为远离主要城市中心的社区提供能源独立性。这些微电网应该能够以隔离模式运行或连接到主电网。这些要求带来了巨大的挑战。实际上,在隔离模式下,中小型电网对用户用电的波动以及发电机产生的电力变化非常敏感。在并网模式下,可再生能源不像传统发电机那样对电网的稳定性和鲁棒性做出贡献。光伏电站与电网集成时会带来一些挑战。光伏电站始终专注于从阵列中提取最大功率。与传统发电机相比,这使得光伏系统无法用于帮助调节电网频率。这项研究的主要目的之一是开发一种鲁棒的自适应非线性控制技术,该技术可为光伏系统提供频率调节功能以及电压调节功能。;我们考虑了一个结合了光伏发电机,同步发电机和负载的小型功率微电网研究。确定了提出的微电网的动态模型。最终模型强调了可再生能源与网络其余部分之间的相互作用。为了满足频率调节和电压调节的要求,开发了一种新的鲁棒自适应非线性(精确的输入-输出反馈线性化)控制策略。新的控制策略使光伏系统对微电网频率的变化具有与常规发电机类似的响应。该控制器还具有自我调节功能(自适应),并且坚固耐用,可以补偿由于用户功耗变化或MG电网中的任何缺陷引起的干扰。使用Matlab / Simulink在仿真中评估了所提出解决方案的性能。为进一步验证,在实验室中开发了拟议微电网的小型实验室实验原型以实施所提出的技术。;该研究可视为开发与主电源系统隔离的偏远社区的微电网电站的重要基础或具有更高可再生能源渗透率的大型电网。

著录项

  • 作者

    Taheri Ledari, Hamed.;

  • 作者单位

    Ecole de Technologie Superieure (Canada).;

  • 授予单位 Ecole de Technologie Superieure (Canada).;
  • 学科 Electrical engineering.;Alternative Energy.
  • 学位 D.Eng.
  • 年度 2017
  • 页码 212 p.
  • 总页数 212
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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