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作 者:冯志远 李佳蔚 郑晨 李琼林 蒋建东[1] FENG Zhiyuan;LI Jiawei;ZHENG Chen;LI Qionglin;JIANG Jiandong(School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China;School of Electronic Science and Engineering,Xiamen University,Xiamen 361005,China;Electric Power Research Institute,State Grid Henan Electric Power Company,Zhengzhou 450052,China)
机构地区:[1]郑州大学电气工程学院,河南郑州450001 [2]厦门大学电子科学与技术学院,福建厦门361005 [3]国网河南省电力公司电力科学研究院,河南郑州450052
出 处:《武汉大学学报(工学版)》2023年第1期36-43,共8页Engineering Journal of Wuhan University
基 金:国家电网公司总部科技项目(编号:5400-202124153A-0-0-00)。
摘 要:提出了一种基于数字镜像技术的配电网电压暂降源定位方法。首先根据配电网中大量的监测点信息以及网架结构参数构建配电网数字镜像模型,然后采用人工神经网络对数字镜像模型的历史数据进行学习训练,得到反映节点电压与电压暂降发生位置之间映射关系的神经网络模型。通过该模型可以根据电压暂降后各节点电压数据得到反映各节点故障特征的信息,进而实现对电压暂降源的定位。以河南某县30节点的配电网为例对所提方法的有效性进行验证,结果表明该方法能够实现对电压暂降源的准确定位。The paper proposes a voltage sag source locating method for distribution network based on digital mirror technology. Firstly, a digital mirror model of the distribution network is constructed according to a large number of monitoring point information in the distribution network and the structural parameters of the distributed grid. Then, the artificial neural network is used to learn and train the historical data of the digital mirror model, and a neural network model that reflects the mapping relationship between the node voltage and the sag occurrence position is obtained. Through this model, the information reflecting the fault characteristics of each node can be obtained according to the voltage data of each node after the voltage sag, and then the location of the sag source can be realized. The effectiveness of the proposed method is verified by taking a 30-node distribution network in a county of Henan Province as an example. The results show that the method can accurately locate the voltage sag source.
分 类 号:TM769[电气工程—电力系统及自动化]
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