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拓扑与电路 ★ 5.0

一种用于量化变流器接口发电下电力系统小信号变化性的模态贡献指标

A Modal Contribution Metric for Quantifying Small-Signal Variability in Power Systems With Converter-Interfaced Generation

作者 Luke Benedetti · Panagiotis N. Papadopoulos · Agustí Egea-Àlvarez
期刊 IEEE Transactions on Power Systems
出版日期 2024年11月
技术分类 拓扑与电路
相关度评分 ★★★★★ 5.0 / 5.0
关键词 电力系统动态行为 模态叠加 电网强度指标 电压频率变化 双区域四机系统
语言:

中文摘要

随着同步发电设备的解列以及基于变流器接入的设备连接数量的增加,电力系统的动态行为正在发生巨大变化,而传统的静态电网强度指标未必能捕捉到这些变化。本文运用模态叠加概念来推导与位置变异性相关的指标和信息,该位置变异性是根据系统变量在不同网络位置的最大偏差来定义的。与典型的电网强度指标不同,该分析分别考虑了电压幅值和频率的变异性,反映了向以电力电子控制为主导的电力系统动态转变所带来的复杂性。该方法的另一个优点是通过各模态对响应的贡献,推导出输出变量的变异性与特定模态相互作用之间的明确关系。本文采用了昆杜尔两区域四机系统,并在接入跟网型和构网型变流器的情况下进行了研究,以与标准同步发电机的情况进行对比。该方法和所提出的指标反映了网络中不同扰动位置和观测位置下电压和频率独立的变异性趋势。此外,还展示了如何运用所提出的方法来关注不同时间尺度下变异性的特征和成因。

English Abstract

Power system dynamic behaviour is changing drastically with the disconnection of synchronous generation and increasing connection of converter-interfaced units, which is not necessarily captured by traditional static grid strength metrics. This paper uses the modal superposition concept to derive metrics and information with respect to locational variability, defined in terms of the maximum deviation of system variables in different network locations. Going beyond typical grid strength metrics, the analysis considers voltage magnitude and frequency variability separately, reflecting the complexities arising from the transition to power electronic control dominated power system dynamics. A further benefit of the approach is the derivation of a clear relationship between the variability of output variables and specific modal interactions via their contribution to the response. The Kundur two-area, four-generator system is utilised and investigations are performed with the integration of grid-following and grid-forming converters to compare with the standard synchronous generator case. The methodology and suggested metric reflects the independent voltage and frequency variability trends across different locations of disturbance and observation across the network. Also exhibited is the use of the proposed method to focus on the characteristics and causes of variability at different timescales.
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SunView 深度解读

该模态贡献度量化方法对阳光电源储能与光伏并网系统具有重要应用价值。在PowerTitan大型储能系统和SG系列光伏逆变器的并网场景中,可精准识别各变流器单元对系统振荡模式的贡献度,指导GFM/GFL控制策略的参数优化。特别是在弱电网环境下,该指标能量化评估不同控制模式(如VSG虚拟同步机)对系统小信号稳定性的影响,为ST系列储能变流器的多机协调控制提供理论依据。结合iSolarCloud平台的实时监测数据,可实现动态稳定性预警,提升大规模新能源电站的并网适应性与安全运行能力,支撑阳光电源在高比例电力电子化电网中的技术领先地位。