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作 者:卜龙敏 解玉满 陈红 陈建华 徐慧婷 陈浩 颜钟宗 BU Longmin;XIE Yuman;CHEN Hong;CHEN Jianhua;XU Huiting;CHEN Hao;YAN Zhongzong(State Grid Hunan Electric Power Company,Changsha 410000,China;Hunan Provincial Key Laboratory of Intelligent Electric Measurement and Application Technology,Changsha 410000,China;College of Electrical and Information Engineering,Hunan University,Changsha 410012,China)
机构地区:[1]国网湖南省电力有限公司,湖南长沙410000 [2]智能电气量测与应用技术湖南省重点实验室,湖南长沙410000 [3]湖南大学电气与信息工程学院,湖南长沙410012
出 处:《中国测试》2024年第S2期230-234,240,共6页China Measurement & Test
基 金:国家电网公司科技项目资助(5400-202323233A-1-1-ZN)
摘 要:随着电力系统的数字化和智能化发展,配电网中的台区线损计算成为电力公司重点关注的问题。然而,伴随着数据隐私问题的日益凸显,传统的线损计算方法面临用户数据泄露的风险。为此,该文研究了一种兼顾用户数据隐私保护的配电台区线损计算方法。该方法通过在XGBoost算法中引入多方秘密共享(Secret Sharing)技术,重构了切分点查找算法,并将模型叶子节点权重的计算过程进行分布式处理,从而实现了在多方参与计算时不泄露用户信息的目标。该文所研究的方法已在实际台区线损数据中进行了测试,结果表明,该算法不仅能够准确估计台区线损,还能有效保护用户隐私。As the digitization and intelligence of power systems continue to develop,the calculation of nontechnical losses in distribution networks has become a critical concern for power companies.However,with the increasing prominence of data privacy issues,traditional line loss calculation methods face the risk of user data leakage.Therefore,this paper explores a method for feeder line loss calculation in distribution networks that considers user data privacy protection.By introducing the multi-party secret sharing technique into the XGBoost algorithm,the splitting point search process within the XGBoost algorithm is reconstructed,and the calculation of the model’s leaf node weights is performed in a distributed manner.This ensures that user information is not leaked during multi-party computations.The proposed method was tested on actual feeder line loss data,and the results demonstrate that the algorithm can accurately estimate line losses while protecting privacy.
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