| 田 峰,黄 莉,李 磊.农网台区线路异常的自适应DBSCAN-PNN诊断方法[J].电力需求侧管理,2024,26(5):15-20 |
| 农网台区线路异常的自适应DBSCAN-PNN诊断方法 |
| Adaptive DBSCAN-PNN diagnosis method for line anomalies in the station area of rural power grid |
| 投稿时间：2024-05-08 修订日期：2024-07-15 |
| DOI：10. 3969 / j. issn. 1009-1831. 2024. 05. 003 |
| 中文关键词: 农村电网 低压台区 线路异常诊断 回路阻抗 概率神经网络 |
| 英文关键词: rural power grid low-voltage station area line anomaly diagnosis loop impedance probabilistic neural network |
| 基金项目:国家电网有限公司科技项目（5400-202323233A-1-1-ZN） |
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| 摘要点击次数: 3 |
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| 中文摘要: |
| 新型电力系统建设背景下,线路异常诊断对于实现农网台区的线损管理和线路健康状态评价意义更为显著。针对当前农网台区缺少数字化线路异常诊断手段的问题,提出了一种基于自适应DBSCAN-PNN的农网台区线路异常诊断方法。首先,获取异常用户的虚拟回路阻抗计算结果；其次,采用K近邻方法自适应选取DBSCAN参数,并结合各类阻抗异常形成的专家先验知识规律,构建典型农网台区线路异常样本数据集；进一步将样本数据集按照一定的比例拆分为训练集和测试集,送入PNN分类模型中进行训练与测试,输出典型异常分类结果。最后,以某地区4类典型异常案例为基础进行案例分析,结果证明该方法异常诊断准确率能够快速实现典型农网台区线路异常诊断的快速精准识别,辅助支撑农网台区线损的精益化运维管理。 |
| 英文摘要: |
| Under the background of new power system construction, line anomaly diagnosis is more significant for realizing evaluation of line health status and line loss management in rural power stations. In order to solve the problem of the lack of digital line anomaly diagnosis method in the current rural network station area, a line anomaly diagnosis method adaptive based on DBSCAN-PNN is proposed. Firstly, the calculation results of the virtual loop impedance of the abnormal user are obtained. Secondly, the k-nearest neighbor method is used to adaptively select DBSCAN parameters, and combined with the expert prior knowledge rules formed by various impedance anomalies, the sample data set of typical rural power station line anomalies is constructed. Further, the sample data set is divided into training set and test set according to a certain proportion, which is sent into the PNN classification model for training and testing, and the typical anomaly classification results are output. Finally, a case analysis is carried out based on four typical abnormal cases in a certain area, and the results showe that this method can realize the rapid and accurate identification of typical line anomalies diagnosis in the rural power grid low-voltage station area, and assisted in supporting lean operation and maintenance management of line loss. |
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