电力系统保护与控制2025，Vol.53Issue(3)：1-12,12.DOI:10.19783/j.cnki.pspc.240561
基于KDE传递熵因果分析的强迫功率振荡扰动源定位方法
A method for locating the disturbance source of forced power oscillation based on KDE transfer entropy causal analysis
摘要
Abstract
Accurate and fast location of the disturbance source of forced power oscillation is the key to suppressing such oscillations.In the process of forced power oscillation,the disturbance source generators continuously inject energy into the power grid,while the non-disturbance source generators continuously absorb energy.There is a causal relationship between the power oscillation response of the disturbance source generators and the non-disturbance source generators.In this paper,a method for fast locating the forced oscillation source in power systems using the kernel density estimation(KDE)transfer entropy(TE)causal analysis is proposed considering casual relationships.This method first uses wide-area measurement information of the power system to construct a KDE transfer entropy model between the active power pairs of each generator in the system.Then,a sliding window method is used to calculate the transfer entropy between each generator pair.By quantitatively comparing the statistical results of the transfer entropy calculated for different generator pairs,the causal transfer direction between the system's measurements is determined,thereby achieving rapid location of the disturbance source of forced power oscillation in the system.Finally,the feasibility and effectiveness of the proposed method are verified through simulation data from the IEEE 4-machine 2-area system and the IEEE 16-machine 5-area test system.关键词
电力系统/强迫功率振荡/KDE传递熵/因果关系/扰动源定位Key words
power system/forced power oscillations/KDE transfer entropy/causal relationship/disturbance source location引用本文复制引用
王丽馨,王思宇,杨德友,高晗,沙东鹤,蔡国伟..基于KDE传递熵因果分析的强迫功率振荡扰动源定位方法[J].电力系统保护与控制,2025,53(3):1-12,12.基金项目
This work is supported by the National Key Research and Development Program of China(No.2021YFB2400800). 国家重点研发计划项目资助"响应驱动的大电网稳定性智能增强分析与控制技术"(2021YFB2400800) （No.2021YFB2400800）
新能源电力系统全国重点实验室开放课题项目资助(LAPS24014) （LAPS24014）
