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System and method for determining harmonic contributions from nonlinear loads in power systems.

机译:用于确定电力系统非线性负载的谐波贡献的系统和方法。

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摘要

The objective of this research is to introduce a neural network based solution for the problem of measuring the actual amount of harmonic current injected into a power network by an individual nonlinear load.;In electrical networks, harmonic currents are injected into the network by nonlinear loads such as power electronic equipment, arc furnaces, saturating inductances, and so on. When such loads are supplied from a sinusoidal voltage, their injected harmonic currents are referred to as contributions from the customer. Harmonic currents which flow in any network, cause harmonic volt drops, so that the supply voltage at the customer is no longer sinusoidal. Any other customers, even with linear loads, connected to the terminals (called the Point of Common Coupling, or PCC) of the first customer, will have harmonic currents injected into them by the distorted network voltage at the PCC. Such currents are referred to as contributions from the power system, or supply harmonics. Currently no method exists which can reliably distinguish between load harmonics and supply harmonics. The proposed load modeling method addresses this issue. The theoretical aspect of load modeling is explained. The scheme is verified on a number of different power electronic circuits. It is shown that there is a difference in the current distortion of a load depending on whether the load is served by a clean voltage supply or a distorted voltage supply. To quantify this difference, a new parameter em is introduced. The utility is responsible for ensuring there are no resonance conditions created by their use of capacitors on the system. However, if a significant amount of voltage distortion exists on a circuit, customer loads can have an increased level of current harmonics as a result of the voltage distortion. So, it can be difficult to determine whether a customer is within IEEE519 compliance or not. The proposed load modeling concept is also able to identify the amount of customer injected harmonic current regardless of whether a resonant condition exists on the utility power system.;All loads supplied by the utility are designed and optimized to operate at the supply frequency (60 Hz or 50 Hz, depending on the geographical region of operation). However, the voltage at the PCC is rarely a pure sinusoid and hence loads do not get a clean 60 Hz supply. If several loads are connected to a PCC, another important parameter of interest is to monitor the change in the voltage distortion level at the PCC, if a nonlinear load were to filter out its harmonics. The proposed source modeling scheme addresses this issue. The scheme is verified in simulation as well as on actual field data. The source modeling scheme aids the implementation of IEEE 519 by predicting whether or not the voltage distortion limit at the PCC is restored if corrective action is taken by a nonlinear load in terms of reducing its current harmonics.;The intellectual property of this research is protected. This would help the commercialization of the proposed methods. The main advantages of the proposed schemes are that only waveforms of voltages and currents are required for their operation and they are applicable to both single and three phase systems. Both the schemes are designed as software tools and can be integrated into any existing power quality instrument. This could also be fabricated into a commercial standalone instrument that could be installed in substations of large customer loads, or used as a hand-held clip on instrument.
机译:这项研究的目的是介绍一种基于神经网络的解决方案,以解决单个非线性负载注入电网中谐波电流的实际量的问题。在电网中,谐波电流是由非线性负载注入电网中的例如电力电子设备,电弧炉,饱和电感等。当从正弦电压提供此类负载时,其注入的谐波电流称为客户的贡献。在任何网络中流动的谐波电流都会引起谐波电压降,从而使用户的电源电压不再是正弦波。任何其他客户,即使具有线性负载,也连接到第一个客户的终端(称为公共耦合点或PCC)时,都会由于PCC处的网络电压失真而向其中注入谐波电流。此类电流称为电源系统的贡献或电源谐波。目前,还没有一种方法能够可靠地区分负载谐波和电源谐波。提出的负载建模方法解决了这个问题。解释了负载建模的理论方面。该方案已在许多不同的电力电子电路上得到验证。可以看出,负载的电流畸变存在差异,这取决于负载是由纯净电压源供电还是由失真电压源供电。为了量化该差异,引入了新参数em。该实用程序负责确保在系统上使用电容器不会产生共振条件。但是,如果电路上存在大量的电压畸变,则由于电压畸变,客户负载的电流谐波水平可能会增加。因此,很难确定客户是否符合IEEE519标准。所提出的负载建模概念还能够识别用户注入的谐波电流量,而与公用事业电力系统上是否存在谐振条件无关;公用事业公司提供的所有负载都经过了设计和优化,可以在供电频率(60 Hz)下运行或50 Hz,具体取决于操作的地理区域)。但是,PCC上的电压很少是纯正弦波,因此负载无法获得干净的60 Hz电源。如果将多个负载连接到PCC,则另一个重要的参数是监视PCC上电压失真水平的变化,如果非线性负载要滤除其谐波。拟议的源建模方案解决了这个问题。该方案在仿真以及实际现场数据中得到了验证。源建模方案通过预测非线性负载在降低电流谐波方面采取的纠正措施是否可以恢复PCC处的电压畸变极限,从而有助于IEEE 519的实施;该研究的知识产权受到保护。这将有助于所提出方法的商业化。所提出的方案的主要优点在于,仅电压和电流的波形对于它们的操作是必需的,并且它们适用于单相和三相系统。两种方案均设计为软件工具,可以集成到任何现有的电能质量仪器中。也可以将其制成商用的独立仪器,该仪器可以安装在大客户负载的变电站中,或用作仪器上的手持式夹子。

著录项

  • 作者

    Mazumdar, Joy.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 236 p.
  • 总页数 236
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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