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Small-Signal Modeling of Digitally Controlled Grid-Connected Inverters With $LCL$ Filters

机译:具有 $ LCL $ 滤波器的数控并网逆变器的小信号建模

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摘要

When $LCL$ filters are applied to digitally controlled grid-connected inverters, the design of controllers is usually implemented using classic average models. The accuracy of these models in $s$-domain is only guaranteed in low-frequency range. In order to predict the dynamic behaviors, new small-signal $z$-domain models are deduced for digitally controlled grid-connected inverters with converter current control scheme and converter current plus grid current control scheme. The proposed methods model the inverters including different delay effects under most possible circumstances, which allows direct design for controllers in $z$-domain. The stability boundaries obtained from the root loci of the classic average models and the proposed $z$ -domain models and the discrete state-space models are compared to the simulation results, showing that the proposed $z$-domain models are more effective in predicting instabilities. Experimental results are presented and compared to the average models predictions and $z$-domain models predictions, which shows the proposed models are capable of predicting the values of control variables at the true sampling instants.
机译: $ LCL $ 滤波器应用于数字控制并网逆变器时,通常使用经典的平均模型来实现控制器的设计。 。仅在低频范围内才能保证这些模型在 $ s $ 域中的准确性。为了预测动态行为,推导了用于数字控制并网的新小信号 $ z $ 域模型具有变流器电流控制方案和变流器电流加电网电流控制方案的逆变器。所提出的方法在大多数可能的情况下对包括不同延迟影响的逆变器进行建模,从而可以直接设计 $ z $ -中的控制器域。从经典平均模型的根基因座和拟议的 $ z $ 域模型和离散状态获得的稳定性边界空间模型与仿真结果进行比较,表明所提出的 $ z $ 域模型在预测不稳定性方面更有效。给出了实验结果,并将其与平均模型预测和 $ z $ 域模型预测进行了比较,表明所提出的模型是能够在真实采样时刻预测控制变量的值。

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