电力系统保护与控制2026,Vol.54Issue(3):22-34,13.DOI:10.19783/j.cnki.pspc.250636
基于多模态分解信息的新能源场站送出线路纵联保护新判据
A new pilot protection criterion for renewable energy outgoing lines based on multimodal decomposition information
摘要
Abstract
To address the issue of performance degradation in traditional protection during faults on outgoing transmission lines from renewable energy plants caused by limited short-circuit current and frequency deviation,a new pilot protection criterion is proposed.The criterion is based on empirical mode decomposition(EMD)to extract multimodal components,i.e.,intrinsic mode functions(IMFs),and employs the Kendall's correlation coefficient for fault identification.First,the limitations of traditional protection and existing similarity algorithms are analyzed.On this basis,fault currents from line terminals are decomposed via EMD,and the similarity of the components is analyzed by using the Kendall coefficients to reveal fault characteristics.The differences in Kendall coefficients among IMFs of different orders during internal and external faults are examined to assess their fault representation capability.Finally,a comprehensive similarity-based protection criterion integrating current amplitude,phase,and polarity features is developed by adaptively weighting IMFs.Simulation results show that the proposed method is immune to the specific fault current characteristics of renewable energy sources and can accurately discriminate between internal and external short-circuit faults under various fault scenarios in renewable energy plants,featuring fast operation,high accuracy,and strong adaptability.关键词
新能源场站/送出线路/经验模态分解/Kendall相关系数/综合相似度值/纵联保护Key words
renewable energy plant/transmission line/empirical mode decomposition/Kendall correlation coefficient/comprehensive similarity index/pilot protection引用本文复制引用
李振兴,杨桄,王莉,胡聪,翁汉琍,李培阳..基于多模态分解信息的新能源场站送出线路纵联保护新判据[J].电力系统保护与控制,2026,54(3):22-34,13.基金项目
This work is supported by the National Natural Science Foundation of China(No.52077120). 国家自然科学基金项目资助(52077120) (No.52077120)