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Harmonic Resonance Mode Analysis and Application for Offshore Wind Power Plants

机译:海上风电场谐波共振模式分析及应用

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摘要

This thesis is centred around a form of resonance analysis for power systems known as Harmonic Resonance Mode Analysis (HRMA). It is a form of eigenvalue analysis and has some parallels to the modal analysis commonly associated with small signal stability. Modes in small signal stability analysis characterise the transient response of the system to a small disturbance, and are identified from the state matrix of the linearised state space description. Modes in HRMA characterise the parallel resonances of a power system, and are identified from the admittance matrix. Participation factors, which are derived from eigenvectors of the admittance matrix at resonance frequencies, indicate the observability of modes in the impedance measured at individual buses. In addition, sensitivity indices quantify the change in amplitude and frequency of modes when parameters are adjusted in the admittance matrix. A part of this thesis is dedicated to replicating HRMA results found in published papers. By validating published results for two different test cases, the computer implementation for carrying out the analysis is verified. Obtained results are generally consistent with those in published papers. Some critical considerations in implementation of HRMA are identified and discussed, perhaps the most important of which is the issue of modal switching. HRMA is also used to investigate resonances in a system modelled on the real offshore wind power plant of Anholt in Denmark. HRMA is based on the nodal admittance matrix, and power system components are modelled as equivalent admittances. Non-linearities and frequency dependencies can be included more easily than in a state space representation. Examining the impact of non-linear components in the admittance matrix on HRMA results is a central contribution from this thesis. The sensitivity of results with respect to degree of aggregation of the wind power plant model is also investigated.Modern wind turbines are connected to power systems via full-scale frequency converters. Such converters can be modelled for harmonic analyses as equivalent impedances which are determined primarily from the converter current control loops. An equivalent impedance representing the grid-side converter of a wind turbine generator as seen from the grid is derived, and later such impedances are incorporated in the HRMA.The resonance modes in the investigated large offshore wind power plant are sensitive to modelling of wind turbine main circuit components such as shunt harmonic filters, step-up transformers and main reactors. Suitable modelling of these electrical components is therefore important for obtaining reliable result from HRMA. Moreover, the resonance modes are highly dependent on the number of turbines in operation.
机译:本文围绕一种称为谐波谐振模式分析(HRMA)的电力系统谐振分析形式展开。它是特征值分析的一种形式,与通常与小信号稳定性相关的模态分析有一些相似之处。小信号稳定性分析中的模式表征了系统对小扰动的瞬态响应,并从线性化状态空间描述的状态矩阵中识别出来。 HRMA中的模式表征了电力系统的并联谐振,并从导纳矩阵中识别出来。从谐振频率处的导纳矩阵的特征向量导出的参与因子表明在各个总线上测得的阻抗模式的可观察性。此外,当在导纳矩阵中调整参数时,灵敏度指标可以量化模式振幅和频率的变化。本文的一部分致力于复制已发表论文中的HRMA结果。通过验证两个不同测试用例的发布结果,可以验证用于执行分析的计算机实现。获得的结果通常与已发表论文一致。确定并讨论了实施HRMA的一些关键考虑因素,其中最重要的可能是模式切换问题。 HRMA还用于调查以丹麦Anholt的真实海上风力发电厂为模型的系统中的共振。 HRMA基于节点导纳矩阵,并且将电力系统组件建模为等效导纳。与状态空间表示相比,可以更轻松地包含非线性和频率依赖性。研究导纳矩阵中的非线性成分对HRMA结果的影响是本论文的主要贡献。还研究了结果对风电厂模型的聚集度的敏感性。现代风力涡轮机通过满量程变频器连接到电力系统。可以将此类转换器建模为等效分析的等效阻抗,该等效阻抗主要由转换器电流控制回路确定。推导了一个等效阻抗,该阻抗代表了从电网看的风力涡轮发电机的电网侧变流器,随后将这些阻抗合并到了HRMA中。研究的大型海上风力发电厂的共振模式对风力涡轮机的建模很敏感。主要电路组件,例如并联谐波滤波器,升压变压器和主电抗器。因此,对这些电气组件进行适当的建模对于从HRMA获得可靠的结果很重要。此外,共振模式高度依赖于运行中的涡轮机数量。

著录项

  • 作者

    Brantsæter Henrik Andreas;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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