中国电力2025，Vol.58Issue(9)：23-32,10.DOI:10.11930/j.issn.1004-9649.202501003
基于CEEMDAN与NRBO-XGBoost的含光伏配电网漏电故障辨识
Leakage Fault Identification of PV-Integrated Distribution Networks Based on CEEMDAN and NRBO-XGBoost
摘要
Abstract
To address the problem that existing residual current protection devices are difficult to accurately identify leakage faults in the PV-integrated distribution networks,a leakage fault identification model for photovoltaic-integrated distribution networks based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)and Newton-Raphson-based optimizer-eXtreme Gradient Boosting(NRBO-XGBoost)is presented.Firstly,the CEEMDAN is used to decompose different leakage signals of the PV-integrated distribution networks.Then,the energy entropy of each decomposed modal component is extracted to construct the leakage fault feature set.Finally,the energy entropy features are input into the NRBO-XGBoost model to achieve the recognition of different leakage states of PV-integrated distribution networks.The effectiveness of the proposed method is verified by the simulation data.The results show that compared with other models,the proposed method has the highest recognition accuracy.关键词
光伏电源/配电网/牛顿拉夫逊法/梯度提升决策树/漏电故障识别Key words
photovoltaic power supply/distribution network/Newton-Raphson-based optimizer/extreme gradient boosting/leakage fault identification引用本文复制引用
刘晗,刘金东,李贺,李彦立,于起媛,赵远,耿亚男..基于CEEMDAN与NRBO-XGBoost的含光伏配电网漏电故障辨识[J].中国电力,2025,58(9):23-32,10.基金项目
国网北京市电力公司科技项目(低压交直流混合配电网漏电故障机理研究与保护装置开发,520213240001). This work is supported by State Grid Beijing Electric Power Company Technology Project(Research on Leakage Fault Mechanism and Protection Device Development of Low Voltage AC/DC Hybrid Distribution Network,No.520213240001). （低压交直流混合配电网漏电故障机理研究与保护装置开发,520213240001）
