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Low Voltage Ride-Through for Photovoltaic Systems Using Finite Control-Set Model Predictive Control

机译:使用有限控制集模型预测控制的光伏系统低压穿越

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摘要

Grid codes impose immunity requirements to the generation systems that are connected to the transmission lines. Immunity refers to the generator's capability to overcome grid abnormal conditions. One of the requirements is to remain connected during a certain time when a fault, like voltage sag, is presented. During the fault scenario, a generator unit should remain connected for a pre-determined amount of time, and also provide reactive power to support the grid voltage. This is called low-voltage ride through (LVRT). Initially, LVRT requirements were imposed for large generator units like wind farms connected to the transmission network; however, due to the increased penetration of distributed generation (DG) on the distribution system, new grid codes extend the mentioned capability to generator units connected to the distribution grid.;Due to matured photovoltaic (PV) technology and the decreased price of PV panels, PV grid tied installations are proliferating in the utility grids; this is creating new challenges related to voltage control. In the past, DG such as PV were allowed to trip from the grid when a fault or unbalance occurred and reconnect within several seconds (sometimes minutes) once the fault had been cleared. Nevertheless, thanks to high PV penetration nowadays, the same method cannot be used because it will further deteriorate the power quality and potentially end in a power blackout.;Different approaches have been considered to fulfill the LVRT requirement on PV systems. A large amount of literature focuses on the control of the grid side converter of the PV installation rather than the control of PV operation during the fault, and most control designs applied to the grid side follow classical control methods. Moreover, the effects of the grid fault on the generator side impose a challenge for controlling the PV systems since the quality of the synthesized converter voltages and currents depends on the dc link power/voltage control.;This document proposes a Model based Predictive Control (MPC) for controlling a two stage PV system to fulfill LVRT requirements. MPC offers important advantages over traditional linear control strategies since the MPC cost function can include constraints that are difficult to achieve in classical control. Special attention is given to implementation of the proposed control algorithms. Simplified MPC algorithms that do not compromise the converter performance and immunity requirement are discussed.
机译:电网代码对连接到传输线的发电系统提出了抗扰性要求。抗扰度是指发电机克服电网异常状况的能力。要求之一是在出现故障(例如电压骤降)时的一定时间内保持连接。在故障情况下,发电机组应保持连接一段预定的时间,并提供无功功率以支持电网电压。这称为低压穿越(LVRT)。最初,LVRT要求是针对大型发电机组(如连接到传输网络的风电场)提出的;但是,由于分布式发电(DG)在配电系统中的普及率不断提高,新的电网法规将上述功能扩展到了与配电网相连的发电机组。;由于光伏(PV)技术成熟并且光伏板价格下降,光伏并网装置在公用电网中激增;这给电压控制带来了新的挑战。过去,发生故障或不平衡时,允许PV等DG从电网跳闸,并在故障排除后几秒钟(有时是几分钟)内重新连接。然而,由于当今光伏的普及率很高,无法使用相同的方法,因为它会进一步降低电能质量并可能导致电源中断。;已经考虑了各种方法来满足PV系统对LVRT的要求。大量文献集中在光伏设备的电网侧变流器的控制上,而不是故障期间对光伏发电的控制,并且应用于电网侧的大多数控制设计都遵循经典的控制方法。此外,电网故障对发电机侧的影响对光伏系统的控制提出了挑战,因为合成的转换器电压和电流的质量取决于直流链路的功率/电压控制。;本文提出了基于模型的预测控制( MPC),用于控制两级光伏系统以满足LVRT要求。 MPC比传统的线性控制策略具有重要的优势,因为MPC成本函数可能包含传统控制中难以实现的约束。特别注意所提出的控制算法的实现。讨论了不影响转换器性能和抗扰度要求的简化MPC算法。

著录项

  • 作者

    Franco, Fernand Diaz.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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