基于最小二乘法的变电站监控信号压缩与优化策略

Compression and Optimization Strategy for Substation Monitoring Signal Based on Least Square Algorithm

在国家电网大运行模式实施以后,海量的监控信号的关键信息提取和优化分析工作已提上日程。为了方便目前调度控制中心接收和处理变电站监控信号工作,本文将针对监控信号本身,借助最小二乘数学模型将同一类数据进行权重分配处理,实现设备源端监控信号压缩上传的过程;同时按照信号紧急程度在最小二乘数学模型的基础上设立有限加窗过滤的方式,将监控信号实现既定优先级下的优化上报。通过采用以上策略,达到了压缩海量监控信号并同时优化优先级上报数据的效果。

After the implementation of national power grid operation mode,the extraction and optimization of critical information from massive monitoring signals has been put onto the agenda. In order to facilitate the receiving and processing of substation monitoring signals at the dispatch control center,weight distribution in least squares is used to compress the uploaded data from source device. Meanwhile,the technology of limited windowing filtration mode is adopted to upload and optimize the priority data according to urgency levels. By using the above strategy,the massive data of substation monitoring signals can be compressed and uploaded,and the priority data can be optimized.