Experimental validation of a novel angular estimator for synthetic inertia support under disturbed network conditions
Experimental validation of a novel angular estimator for synthetic inertia support under disturbed network conditions
复制标题
受干扰网络条件下用于合成惯性支持的新型角度估计器的实验验证
DOI：
10.23919/epe.2019.8914942
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
R. Perini
中科院分区：
文献类型：
--
作者：
A. Bolzoni;R. Perini
本文提出了一种新的估计方案，在扰动网络条件下的角量提取网络角频率及其导数的鲁棒识别是至关重要的合成惯性提供并网转换器。新提出的架构是来自二阶/二阶广义积分器计划（SO-SOGI），一种算法，利用相电压测量提取的基波分量，引入了一个额外的解耦反馈负序补偿。所提出的技术的有效性和鲁棒性进行了比较，分析和实验，与其他计划已经在文献中。
This paper proposes a novel estimation scheme for angular quantities extraction under disturbed network conditions; a robust identification of the network angular frequency and of its derivative are crucial for the synthetic inertia provision from grid-connected converters. The newly proposed architecture is derived from the Second Order / Second Order Generalized Integrator scheme (SO-SOGI), an algorithm exploited to extract the fundamental harmonic component from phase voltages measurements, with the introduction of an additional decoupling feedback for negative sequence compensation. The effectiveness and robustness of the proposed technique are compared, both analytically and experimentally, with other schemes already available in literature.