| 基于激光点云的中压配电网日同期线损检测系统设计 |
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| 引用本文：陈海涛1,周鑫1,雷才嘉2.基于激光点云的中压配电网日同期线损检测系统设计[J].电网与清洁能源,2019,35(10):28~33 |
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| 基金项目:国家青年科学基金项目（51677073） |
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| 中文摘要:当前配电网线损检测的线路线损特征质量低，且电力设备采集到的数据不同期，导致配电网线损检测精度偏低、误检率较高。设计了基于激光点云的中压配电网同日期线损的检测系统。系统硬件部分由激光探测传感器、信号放大器、数据存储、处理单元和后台监控中心构成；软件设计部分采用主成分分析法（PCA）提取预测电力系统线损参数，利用激光探测传感装置提取点云特征，选定线损数据样本集，构建样本点的特征向量，求解SVM的判别函数，最终实现对中压配电网同日期线损的精确检测。仿真实验结果验证了所设计系统在中压配电网日同期线损检测上的可靠性，线损检测结果与实际拟合度高，并具有更低误检率。 |
| 中文关键词:激光点云 中压配电网 同日期线损 线损检测 系统设计 |
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| Design of the Same Day Line Loss Detection System Based on Laser Point Cloud for Medium Voltage Distribution Network |
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| Abstract:At present， the characteristic quality of the line loss detection in the distribution network is low， and the data collected by the power equipment are not of the same period， which leads to the low accuracy and high error detection rate of the line loss detection in the distribution network. Based on the laser point cloud， the detection system of the same date line loss of the medium voltage distribution network is designed. The hardware part of the system consists of laser detection sensor， signal amplifier， data storage， processing unit and background monitoring center； In the software design， principal component analysis （PCA） is adopted to extract and predict the parameters of the power system line loss， and point cloud features are extracted by means of laser detection sensor device. Sample sets of the line loss data are selected， feature vectors of sample points are constructed， and discriminate functions of SVM are solved， so as to realize the accurate detection of the line loss of the medium-voltage distribution network of the same date. The simulation results have verified the reliability of the designed system in the detection of line loss in the medium voltage distribution network during the same period of the day. |
| keywords:laser point cloud medium voltage distribution network same date line loss line loss detection the system design |
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