电力建设2026，Vol.47Issue(4)：152-162,11.DOI:10.12204/j.issn.1000-7229.2026.04.012
基于复合本征噪声辅助分解的新型电力系统宽频振荡源定位
Wideband Oscillation Source Localization of New Power System Based on Compound Intrinsic Noise-Assisted Decomposition
摘要
Abstract
[Objective]With the gradual evolution of power systems toward a trend of"high share of renewables and high penetration of power electronic equipment",system oscillations have become more frequent and exhibit wide-frequency characteristics,posing greater challenges to operational security.[Methods]First,a compound intrinsic noise-assisted decomposition(CIND)method is introduced to perform modal decomposition on the wide-frequency information of each generator.Then,a targeted selection method for key wideband oscillation modes is developed based on correlation coefficients and energy.Subsequently,the dissipation energy flow corresponding to each generator is calculated from the key components to locate the oscillation source.[Results]The proposed method is validated on the WECC 179-bus test system and the NE 39-bus system with integrated wind farms.The results show that the localization accuracy remains close to 100%under noise levels of 100,65,55,and 45 dB,with single-machine computation time reaching the millisecond level.[Conclusions]Experimental results demonstrate that the method can accurately and effectively localize wideband oscillation sources under various noise conditions,showing good robustness and adaptability.关键词
新型电力系统/宽频振荡/振荡源定位/复合本征噪声辅助分解(CIND)Key words
new power system/wideband oscillation/oscillation source localization/compound intrinsic noise-assisted decomposition(CIND)分类
信息技术与安全科学引用本文复制引用
张瑶,邱伟,杨秋爽,黄琴,姚文轩,蔡昕歆..基于复合本征噪声辅助分解的新型电力系统宽频振荡源定位[J].电力建设,2026,47(4):152-162,11.基金项目
This work is supported by National Natural Science Foundation of China Youth Project(No.52307093),Natural Science Foundation of Hunan Province of China(No.2025JJ40045),State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(No.LAPS23013)and Electrical Engineering Research Platform in Shandong University(No.SDUEE-2024-02). 国家自然科学基金青年项目(52307093) （No.52307093）
湖南省自然科学基金(2025JJ40045) （2025JJ40045）
新能源电力系统全国重点实验室开放课题(LAPS23013) （LAPS23013）
山东大学电气工程学科平台开放课题(SDUEE-2024-02) （SDUEE-2024-02）
