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作 者:汪光远 马啸 林湘宁[1] 李正天[1] 曹善康 叶雨晴 吴宇奇 WANG Guangyuan;MA Xiao;LIN Xiangning;LI Zhengtian;CAO Shankang;YE Yuqing;WU Yuqi(State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,Hubei Province,China)
机构地区:[1]强电磁工程与新技术国家重点实验室(华中科技大学),湖北省武汉市430074
出 处:《中国电机工程学报》2021年第24期8447-8462,共16页Proceedings of the CSEE
基 金:国家重点研发计划项目(2018YFB0904100);国家电网公司科技项目(SGHB0000KXJS1800685)。
摘 要:柔直电网的线路保护技术是保证柔直电网得以实现的关键技术之一。传统直流保护方案存在选择性与灵敏性矛盾的问题。为此,提出基于自适应增强(adaptive boosting,Adaboost)集成学习模型的柔直配电系统线路保护方案。首先,利用线路边界限流电抗器在故障时的电压波形差异和正负极电压变化率设计启动判据,确定模型开始进行数据采集的时间;然后,利用皮尔逊系数进行输入特征量预选,给出数据预处理规则;并设计完整的保护方案流程。利用仿真数据对Adaboost进行离线训练,根据模型输出进行故障识别。最后在PSCAD/EMTDC平台搭建了柔直配电系统仿真模型,通过大量仿真,验证所提策略的有效性以及应对高阻故障和抗噪声干扰的能力。The line protection technology is one of the key technologies to ensure the realization of the flexible DC distribution system.The traditional DC protection scheme has the problems of selectivity and sensitivity.For this reason,a line protection scheme for flexible DC distribution system based on adaptive boosting(Adaboost)ensemble learning model was proposed.First,the start-up criterion was designed according to the voltage waveform difference of the line boundary current limiting reactor and the positive and negative voltage change rate at the time of the fault;then the Pearson coefficient was used to calculate the correlation of the waveform of the time-domain electrical quantity under different faults,and the input feature quantity was screened.And the data preprocessing rules were given.Adaboost was trained offline using simulation data,and the model output were used to distinguish the faults.Finally,a flexible DC distribution system simulation model was built on the PSCAD/EMTDC platform.Through a large number of simulations,the effectiveness of the proposed strategy and the ability to deal with high resistance faults and anti-noise interference were verified.
分 类 号:TM77[电气工程—电力系统及自动化]
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