Inertia Identification of Power System Based on ARMAX Model

Di Wu, Hui Liu, Wei-Hsin Peng, Longzhen Yu, Lin Shi, Yiping Yu
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Abstract

Under the background of double carbon strategy goal, the development prospect of wind power is very broad because of its advantages such as low cost and easy expansion. However, wind power output has strong random volatility, and large-scale wind turbine connected to the power grid through power electronic devices will not actively respond to changes in external frequency. The inertia stored in the rotor is difficult to provide inertia support for the system, resulting in a decline in the overall inertia level of the system, which further reduces the anti-disturbance ability and threatens the stability of the system frequency. In this paper, an online identification method of inertia of power system based on ARMAX model is proposed. The accuracy of this identification method is verified by comparing the inertia of motor and doubly-fed wind turbine under pulse disturbance and step disturbance. This method does not need to apply large disturbance and has higher security.
基于ARMAX模型的电力系统惯性辨识
在双碳战略目标背景下,风电因其成本低、易于扩容等优势,发展前景十分广阔。然而,风电输出具有较强的随机波动性,通过电力电子设备接入电网的大型风力发电机组不会主动响应外界频率的变化。转子中储存的惯性难以为系统提供惯性支撑,导致系统整体惯性水平下降,进一步降低了系统的抗干扰能力,威胁到系统频率的稳定性。提出了一种基于ARMAX模型的电力系统惯性在线辨识方法。通过对比电机和双馈风力机在脉冲扰动和阶跃扰动下的惯量,验证了该辨识方法的准确性。该方法不需要施加较大的干扰,具有较高的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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