电力系统的全局动量估计
Global Momentum Estimation of an Electric Power System
AI总结：
提出一种数据驱动的在线估计电力系统全局动量的技术，通过构网型变换器接口发电机注入探测音并利用虚拟转子速度外推主频率动态足迹，无需系统模型即可准确估计全局动量，并在IEEE 39-BUS和118-BUS系统上验证了有效性。
摘要：
本工作提出一种在线估计电力系统全局动量的技术。该技术利用了主频率系统动态的足迹。通过构网型变换器接口发电机注入探测音，并利用其虚拟转子的速度来外推该足迹。所提出的技术完全是数据驱动的，因此不需要电力系统的任何模型。我们表明，所提出的技术足以准确估计由同步机器贡献的以及由模拟同步机器行为的变换器接口发电机控制器提供的实际全局动量。该技术在修改版的IEEE 39-BUS系统和动态版的IEEE 118-BUS系统上进行了全面测试，这些系统包含构网型变换器接口发电机。
英文摘要：
This work presents a technique to estimate on-line the global momentum of an electric power system. It exploits the footprint of the principal frequency system dynamics. Probing tones are injected by a grid-forming converter-interfaced generator and the speed of its virtual rotor is exploited to extrapolate the footprint. The proposed technique is entirely data driven and thus it does not need any model of the power system. We show that the proposed technique is adequate to accurately estimate the actual global momentum contributed by synchronous machines and provided by the controllers of converter-interfaced generators that emulate the behavior of synchronous machines. The technique is comprehensively tested on a modified version of the IEEE 39-BUS system and a dynamic version of the IEEE 118-BUS system, containing grid forming converter interfaced generators.
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