| 引用本文: | 肖勇,赵云,涂治东,钱斌,常润勉.基于改进的皮尔逊相关系数的低压配电网拓扑结构校验方法[J].电力系统保护与控制,2019,47(11):37-43.[点击复制] |
| XIAO Yong,ZHAO Yun,TU Zhidong,QIAN Bin,CHANG Runmian.Topology checking method for low voltage distribution network based on improved Pearson correlation coefficient[J].Power System Protection and Control,2019,47(11):37-43[点击复制] |
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| 摘要: |
| 针对低压配电网拓扑结构人工校验成本高、实时性不强的问题，提出了一种基于皮尔逊相关系数和KNN算法的低压配电网拓扑结构纯软件在线校验方法。首先用皮尔逊相关系数判断用户电压序列曲线的相似性，通过相关系数算法校验台区户变关系的正确性，找出户变关系不正确的用户，进行再校验。对于需再校验的用户，基于GIS系统的数据和《配电网规划设计技术导则》剪辑生成用户样本集，运用KNN算法分析剪辑生成用户样本集，然后找出校验用户所属的正确台区。最后根据人工现场校验结果，判断算法校验的正确性。 |
| 关键词: 低压拓扑校验 皮尔逊相关系数 电压曲线相似性 样本集 KNN算法 |
| DOI：10.7667/PSPC20191106 |
| 投稿时间：2018-07-20修订日期：2018-10-22 |
| 基金项目:国家自然科学基金面上项目资助(51277134);中国南方电网有限责任公司专项课题资助(ZBKJXM20170078) |
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| Topology checking method for low voltage distribution network based on improved Pearson correlation coefficient |
| XIAO Yong,ZHAO Yun,TU Zhidong,QIAN Bin,CHANG Runmian |
| (China Southern Power Grid Research Institute Co., Ltd., Guangzhou 510663, China;School of Electrical Engineering, Wuhan University, Wuhan 430072, China) |
| Abstract: |
| In view of the high cost and low real-time performance of the low voltage distribution network topology structure, a new online check method for low voltage distribution network topology based on Pearson correlation coefficient and KNN algorithm is proposed. First, the similarity of the user voltage sequence curve is judged by the correlation coefficient of Pearson. The correlation coefficient algorithm is used to verify the correctness of the relationship between the transformer and the user in the platform area, then find out the users with incorrect relationship and check again. For the users who need to be checked again, based on the data of GIS system and Technical Guidelines for Distribution Network Planning and Design, the user sample set is generated. The KNN algorithm is used to analyze the clips to generate the user sample set, and then the correct platform area is checked by the user. Finally, the correctness of the algorithm is judged according to the results of the artificial field check. This work is supported by National Natural Science Foundation of China (No. 51277134). |
| Key words: check of low voltage topology Pearson correlation coefficient similarity of voltage curves set of samples KNN algorithm |
