基于振荡特征提取的同步发电机机电参数估计

Zhiwei Wang, Xiangyu Lyu, Dexin Li, Shishuai Zhu, Changhong Fu, Bo Wang
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引用次数: 0

摘要

准确估计同步发电机的惯性可以为电力系统的安全稳定运行提供可靠的依据。提出了一种基于机电振荡特征信息提取的发电机惯性估计方法。在摆振方程的基础上,建立了惯性与动力特性(特征值和特征向量)之间的数学解析关系。因此,将惯性估计问题等效地转化为机电振荡特征提取问题。利用动态模态分解(DMD)提取振动特性。建立了基于振动特性的发电机惯性估计框架。通过ieee4机电源系统的仿真验证了该方法的有效性。结果表明,该方法具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electromechanical Parameters Estimation of a Synchronous Generator Based on the Oscillation Characteristic Extraction
Accurate estimation of the synchronous generator inertia can provide a reliable basis for the safe and stable operation of the power system. This paper proposes a generator inertia estimation method based on the extraction of electromechanical oscillation characteristic information. The mathematical analytical relationship between inertia and the dynamic characteristics (eigenvalues and eigenvectors) is constructed based on the swing equation. Therefore, the inertia estimation problem is equivalently transformed into an electromechanical oscillation characteristic extraction problem. The oscillation characteristic is extracted by using Dynamic Mode Decomposition (DMD). The framework for estimating generator inertia based on oscillation characteristic is established. The proposed method is simulated and verified by the IEEE4-machine power system. The results show that the proposed method is with high accuracy.
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