Inertia Estimation in Power Systems using Energy Storage and System Identification Techniques
Inertia Estimation in Power Systems using Energy Storage and System Identification Techniques
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DOI：
10.1109/speedam48782.2020.9161919
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发表时间：
2020-06
期刊：
影响因子：
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通讯作者：
Ujjwol Tamrakar;Nischal Guruwacharya;Niranjan Bhujel;F. Wilches-Bernal;T. Hansen;R. Tonkoski
中科院分区：
文献类型：
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作者：
Ujjwol Tamrakar;Nischal Guruwacharya;Niranjan Bhujel;F. Wilches-Bernal;T. Hansen;R. Tonkoski
在文献中已经提出了快速频率控制策略，以保持发电的惯性响应，并帮助系统的频率调节。然而，当系统的惯性常数未知且时变时，部署这样的策略是具有挑战性的。在本文中，我们提出了一个数据驱动的系统识别方法的能量存储系统（ESS）运营商识别系统的惯性响应（从而惯性常数）。该方法首先测试和验证与模拟发电机组模型使用系统负载的小变化作为激励信号，并测量相应的频率变化。验证的方法，然后使用实验识别的发电机组的惯性常数。的模拟发电机组模型的惯性常数估计误差小于5%，这提供了一个合理的估计ESS运营商，以适当地调整快速频率控制器的参数。
Fast-frequency control strategies have been proposed in the literature to maintain inertial response of electric generation and help with the frequency regulation of the system. However, it is challenging to deploy such strategies when the inertia constant of the system is unknown and time-varying. In this paper, we present a data-driven system identification approach for an energy storage system (ESS) operator to identify the inertial response of the system (and consequently the inertia constant). The method is first tested and validated with a simulated genset model using small changes in the system load as the excitation signal and measuring the corresponding change in frequency. The validated method is then used to experimentally identify the inertia constant of a genset. The inertia constant of the simulated genset model was estimated with an error of less than 5% which provides a reasonable estimate for the ESS operator to properly tune the parameters of a fast-frequency controller.