计荣荣,盛海华,史建立,李海,张小荣
JI Rongrong,SHENG Haihua,SHI Jianli,LI Hai,ZHANG Xiaorong

• 1:国网浙江省电力有限公司超高压分公司
• 2:国网浙江省电力有限公司
• 3:武汉凯默电气有限公司

摘要(Abstract)：

在智能变电站远方遥控操作中，常由于装置、网络故障或者信息不统一等原因导致遥控失败，进而影响运维效率。为此，在充分利用变电站三遥信息的基础上提出一种基于DBN（深度置信网络）的智能变电站遥控障碍定位方法。首先，对智能变电站遥控的全过程进行分解，将遥控障碍归为三大类；然后，引入DBN与Softmax分类器分别实现特征量提取与分类训练，构建遥控障碍定位模型；最后，结合障碍类型与遥信信息实现障碍点精准定位。工程实例验证了方法的有效性，该方法具有计算时间短，定位精度高的优点。
In the remote operation of intelligent substations, failures often occur due to device or network malfunctions, or inconsistencies in information, consequently hampering operation and maintenance efficiency. To address this, the paper proposes a remote barrier localization method for intelligent substations using deep belief networks(DBNs). Firstly, the whole process of remote control in an intelligent substation is decomposed to categorize the failures into three main types. Then, DBN-Softmax classifiers are introduced to extract features and train the classification model respectively, building a remote barrier localization model. Finally, failure types and telemetry information are used to precisely locate the faults. Engineering examples have shown effective validation of the method, including its merits of short computation time and high localization accuracy.

关键词(KeyWords)： 智能变电站;通信链路;深度置信网络;遥控障碍定位
intelligent substation;communication link;DBN;remote barrier localization

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司科技项目（5108-202419055A-1-1-ZN）

作者(Author): 计荣荣,盛海华,史建立,李海,张小荣
JI Rongrong,SHENG Haihua,SHI Jianli,LI Hai,ZHANG Xiaorong

DOI: 10.19585/j.zjdl.202410005

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