引用本文:王丽馨,沙东鹤,王思宇,蔡国伟,江守其,杨德友,高晗,夏世威.自然激励下基于子空间优化模式分解的小幅强迫振荡扰动源定位方法[J].电力自动化设备,2025,45(7):156-164
WANG Lixin,SHA Donghe,WANG Siyu,CAI Guowei,JIANG Shouqi,YANG Deyou,GAO Han,XIA Shiwei.Weak-amplitude forced oscillation disturbance source location method based on subspace optimal mode decomposition under ambient excitation[J].Electric Power Automation Equipment,2025,45(7):156-164
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自然激励下基于子空间优化模式分解的小幅强迫振荡扰动源定位方法
王丽馨1, 沙东鹤1, 王思宇1, 蔡国伟1, 江守其1, 杨德友2, 高晗2, 夏世威3
1.东北电力大学 电气工程学院,吉林 吉林 132012;2.哈尔滨理工大学 电气与电子工程学院,黑龙江 哈尔滨 150001;3.华北电力大学 新能源电力系统国家重点实验室,北京 102206
摘要:
为实现基于广域量测随机响应的小幅强迫功率振荡扰动源定位,提出了一种基于子空间优化模式分解(Sub_OMD)的电力系统强迫功率振荡扰动源定位方法。通过Sub_OMD方法对量测的多通道随机响应数据进行分解,进而重构系统各振荡模式时域分量;计算模式能量及其权重以甄别表征系统强迫功率振荡模式的关键性时域分量,再进一步计算各发电机组耗散能量流;在此基础上,利用所提强迫功率振荡源定位判据可实现电力系统小幅强迫功率振荡扰动源定位;最后,在IEEE 4机2区系统、IEEE 16机68节点系统以及美国New England系统中实现了小幅强迫功率振荡扰动源的精准定位。
关键词:  随机响应  子空间优化模式分解  强迫功率振荡  扰动源定位  耗散能量流
DOI:10.16081/j.epae.202503030
分类号:TM712
基金项目:国家重点研发计划项目(2021YFB2400800);新能源电力系统国家重点实验室开放课题资助项目(LAPS24014)
Weak-amplitude forced oscillation disturbance source location method based on subspace optimal mode decomposition under ambient excitation
WANG Lixin1, SHA Donghe1, WANG Siyu1, CAI Guowei1, JIANG Shouqi1, YANG Deyou2, GAO Han2, XIA Shiwei3
1.School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;2.School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Heilongjiang 150001, China;3.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Abstract:
To realize the localization of weak-amplitude forced power oscillation disturbance source based on the wide-area measurement of stochastic response, a method of locating the disturbance source of forced power oscillation in power system based on subspace optimal mode decomposition(Sub_OMD) is proposed. The measured multi-channel stochastic response data is decomposed by Sub_OMD method, and the time-domain components of each oscillation mode of the system are reconstructed. Then, the mode energy and its weight are calculated to identify the key time-domain components that characterize the forced power oscillation mode of the system, and the dissipated energy flow of each generator unit is further calculated. On this basis, the proposed forced power oscillation source location criterion can be used to locate the disturbance source of weak forced power oscillation in power system. Finally, the accurate localization of the weak forced power oscillation disturbance source is realized in the IEEE 4-machine 2-area system, the IEEE 16-machine 68-bus system and the America New England system.
Key words:  stochastic response  subspace optimal mode decomposition  forced power oscillation  disturbance source location  dissipation energy flow

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