基于伪随机摄动的单相逆变器宽带输出阻抗和控制参数在线估计

Ian Paul Gerber, Fredrick Mukundi Mwaniki, Hendrik Johannes Vermeulen
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引用次数: 0

摘要

随着住宅低压配电网中单相逆变器的日益普及,对系统稳定性和电能质量提出了新的挑战。准确的模拟模型对于分析这些影响和在不进行昂贵和耗时的物理测试的情况下进行情景评估至关重要。特别是宽带逆变器模型,对于捕获逆变器在宽频率范围内的动态行为至关重要。逆变器的输出阻抗配置文件在识别内部参数(如滤波器和控制设置)方面起着关键作用,通常不被制造商披露,并支持基于阻抗的稳定性分析。本文提出了一种在线估计逆变器宽带输出阻抗和内部控制参数的方法。在逆变器交流端注入伪随机脉冲序列,对系统进行扰动,估计输出阻抗。对提供2.6ARMS的独立单相逆变器的案例研究表明,实验推导的阻抗与其分析对应阻抗之间存在很强的相关性。进一步分析逆变器的阻抗频率响应和时域输出信号,采用基于粒子群优化的三步估计过程提取控制器参数。仿真和实验结果验证了该方法在参数识别方面的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online estimation of wideband output impedance and control parameters of single-phase inverters using pseudo-random perturbation
The growing deployment of single-phase inverters in residential low-voltage distribution networks poses new challenges to system stability and power quality. Accurate simulation models are essential for analysing these effects and enabling scenario assessment without costly and time-consuming physical testing. Wideband inverter models, in particular, are critical for capturing the inverter’s dynamic behaviour across a broad frequency range. The inverter’s output impedance profile plays a key role in identifying internal parameters, such as filter and control settings, typically not disclosed by manufacturers, and supports impedance-based stability analysis. This paper presents a methodology for online estimating an inverter’s wideband output impedance and internal control parameters. A pseudo-random impulse sequence is injected into the inverter AC terminals in situ to perturb the system, from which the output impedance is estimated. A case study on a standalone single-phase inverter supplying 2.6ARMS demonstrates a strong correlation between the experimentally derived impedance and its analytical counterpart. The inverter’s impedance frequency response and time-domain output signals are further analysed to extract controller parameters using a three-step estimation process based on particle swarm optimisation. The approach is validated through both simulation and experimental results, confirming its accuracy and effectiveness in parameter identification.
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