Identification and Analysis of Frequency Oscillation Mode of Power System Based on Damping Torque Analysis

被引:0
|
作者
Zhou T. [1 ]
Sun J. [1 ]
Xu Y. [2 ]
Ren B. [3 ]
Zhou Y. [4 ]
机构
[1] School of Automation, Nanjing University of Science and Technology, Nanjing
[2] Jiangsu Frontier Electric Technology Co., Ltd., Nanjing
[3] Jiangsu Electric Power Test Research Institute Co., Ltd., Nanjing
[4] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding
关键词
automatic generation control (AGC); damping torque analysis; frequency oscillation; mode identification; primary frequency regulation;
D O I
10.7500/AEPS20221206003
中图分类号
学科分类号
摘要
In recent years, frequency oscillations have taken place multiple times in actual power grids. Research shows that this phenomenon is closely related to the dynamic frequency regulation process of power systems, including the primary frequency regulation (PFR) mode and the automatic generation control (AGC) mode. In order to analyze the dynamic effects of different frequency regulation processes on the frequency oscillation and clarify the intrinsic differences between different oscillation modes and oscillation performance, the theory of damping torque analysis (DTA) is extended, and a DTA method suitable for frequency stability analysis of power systems is established, which can reveal the generation, distribution, and transmission mechanism of damping torque in the frequency regulation control process. Meanwhile, a method for identifying the frequency oscillation modes of power systems is proposed based on this method, and an index for identifying the damping torque modes is defined. The index can effectively reflect the damping contribution and influence of frequency regulation link to the oscillation mode, and accurately identify the frequency oscillation modes of the system. The effectiveness and feasibility of the proposed method are verified by the simulation examples, and the oscillation behavior and influence mechanism of different modes are analyzed. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码:123 / 131
页数:8
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