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多机电力网络系统振荡中心的存在机理及识别方法

李京 李振垚 甘德强 倪秋龙 周靖皓 曹建伟

电力系统及其自动化学报2025,Vol.37Issue(4):46-56,11.
电力系统及其自动化学报2025,Vol.37Issue(4):46-56,11.DOI:10.19635/j.cnki.csu-epsa.001472

多机电力网络系统振荡中心的存在机理及识别方法

Existence Mechanism of Oscillation Centers in Multi-machine Power System and Corresponding Identification Method

李京 1李振垚 1甘德强 1倪秋龙 2周靖皓 2曹建伟3

作者信息

  • 1. 浙江大学电气工程学院,杭州 310027
  • 2. 国网浙江省电力有限公司,杭州 310007
  • 3. 国网浙江省电力有限公司湖州供电公司,湖州 313000
  • 折叠

摘要

Abstract

With the increasing scale and complexity of power grid,the study of the existence mechanism of oscillation centers in a power grid under complex multi-machine scenarios and the corresponding identification method is of signifi-cance for ensuring the safe and stable operation of power grid.First,based on the network characteristics,the structur-al property of the source-load matrix FLG in which the sum of elements in the same row is equal to 1 is demonstrated,and the existence mechanism of oscillation centers in a multi-machine power system is clarified by combining the swing modes of power grid.Second,according to the characteristic that the node clustering is determined by the signs of eigen-vectors,the potential component of nodal voltage is decomposed according to the eigenvector.In addition,the evolution law of the potential component at the oscillation center in the transient process is analyzed,and an identification method for oscillation centers based on the distribution of elements in eigenvectors is proposed by combing the nodal domain theorem.Finally,an IEEE 3-machine 9-bus system,an IEEE 4-machine two-area system and an IEEE 10-machine 39-bus system are taken as numerical examples,and results further verify the theoretical analysis and the effectiveness of the proposed method.

关键词

振荡中心/矢量分解/特征向量/拉普拉斯矩阵/识别方法

Key words

oscillation center/vector decomposition/eigenvector/Laplacian matrix/identification method

分类

动力与电气工程

引用本文复制引用

李京,李振垚,甘德强,倪秋龙,周靖皓,曹建伟..多机电力网络系统振荡中心的存在机理及识别方法[J].电力系统及其自动化学报,2025,37(4):46-56,11.

基金项目

国家电网公司科学技术项目(5108-202218280A-2-437-XG). (5108-202218280A-2-437-XG)

电力系统及其自动化学报

OA北大核心

1003-8930

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