多机系统超低频振荡分析与等值方法

CHEN Lei

您当前的位置：

首页 >

文章列表页 >

多机系统超低频振荡分析与等值方法

更新时间：2025-08-13

- 多机系统超低频振荡分析与等值方法
- Automation of Electric Power Systems Vol. 41, Issue 22, Pages: 10-15(2017)
- 作者机构：
  
  清华大学电机工程与应用电子技术系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
CHEN Lei. [J]. Automation of electric power systems, 2017, 41(22): 10-15.
DOI：

CHEN Lei. [J]. Automation of electric power systems, 2017, 41(22): 10-15. DOI：

摘要

实际电力系统中多次发生的超低频频率振荡在振荡形式及机理上与低频振荡存在显著区别。在多机系统中对超低频频率振荡问题进行了分析。超低频频率振荡中，所有发电机转速同调变化，系统频率整体振荡。提出一种适用于超低频频率振荡分析的系统等值方法，将多机系统等值为单机单负荷系统进行分析，提高计算效率。各发电机原动系统的阻尼转矩相互解耦，和电磁功率中的阻尼转矩加和后共同影响系统阻尼比。研究结果可为实际系统超低频频率振荡的分析与控制提供指导。

Abstract

There are significant differences in the oscillation performance and the mechanism of the ultra-low-frequency frequency oscillations(ULFFO)from that of low frequency oscillations. The ULFFO problem is analyzed in the multi-machine system. In the ULFFO

all of generator speeds change coordinately. As a consequence

the system's frequency oscillates together. An equivalent method for ULFFO analysis is proposed to increase computation efficiency

in which the multi-machine system is equivalent to a single-machine system. Damping torques in the prime mover systems of the generator are decoupled. The sum of them and the damping torques in the electromagnetic power affect the damping ratio of the system. The results provide guidance for the analysis and control of ULFFO in the actual system.

关键词

Keywords

references

Views

3062

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

电力系统一次调频过程的超低频振荡分析

Adaptive Linear Quadratic Gaussian Primary Frequency Regulation Control Strategy for Doubly-fed Wind Turbines Considering Fatigue Loads

Hierarchical Cluster Cooperative Frequency Control Strategy for Wind Power Bases Considering Differential Frequency Regulation Dead Zones

Simplified Dynamic Model and Primary Frequency Regulation Capability Analysis of Concentrated Solar Power System

Related Author

LU Xiaomin

SUN Jian

LIAO Kai

HE Zhengyou

PENG Hexiang

ZHANG Huaiyuan

LIU Jun

QUAN Zhechen

Related Institution

School of Electrical Engineering, Southwest Jiaotong University

School of Automation and Information Engineering, Xi’an University of Technology

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)

College of Electrical Engineering, Sichuan University

Yunnan Electric Power Grid Co., Ltd.

⁰