摘要
配电网运行数据种类繁多、数量巨大,导致配电网运行数据可视化监控性能较差,文中研究了基于八叉树结构的配电网运行数据可视化监控方法。利用统一的采集智能终端采集配电网运行数据,通过数据标准化及数据降维对数据进行预处理,通过BP神经网络算法挖掘配电网运行数据,结合八叉树结构,将配电网运行数据挖掘结果转换为三维可视化形式,使得监控结果更为直观地呈现出来。结果表明,在所研究监控方法的应用下,配电网运行数据可视化和监控性能均得到了很好的验证,证明了该方法的有效性。
The variety and huge amount of distribution network operation data result in poor performance of visual monitoring of distribution network operation data.Research on the visual monitoring method of distribution network operation data based on octree structure.Use a unified collection of intelligent terminals to collect distribution network operation data,preprocess the data through data standardization and data dimensionality reduction,use BP neural network algorithm to mine distribution network operation data,and combine the octree structure to combine the distribution network operation data The mining results are converted into a three⁃dimensional visualization form,which makes the monitoring results more intuitively presented.The results show that under the application of the researched monitoring method,the visualization and monitoring performance of the distribution network operation data have been well verified,which proves the effectiveness of the method.
作者
徐春华
张勇
王超
陈建钿
梁苑
杨叶昕
XU Chunhua;ZHANG Yong;WANG Chao;CHEN Jiantian;LIANG Yuan;YANG Yexin(Zhuhai Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Zhuhai 519000,China)
出处
《电子设计工程》
2023年第1期107-110,115,共5页
Electronic Design Engineering
基金
南方电网公司科技项目资助(030400KK52200006(GDKJXM20201748))。
关键词
八叉树结构
配电网
运行数据
可视化
octree structure
distribution network
operation data
visual