基于改进旋转门算法的变电站数据压缩存储方法

Substation Data Compression and Storage Method Based on Improved Revolving Door Algorithm

为解决变电站数据采集与监视控制(supervisory control and data acquisition,SCADA)系统接入海量数据引发的数据存储问题,提出一种基于改进旋转门算法的变电站数据压缩存储方法。首先介绍了旋转门有损压缩算法,针对存储频率固定、门限值固定、忽视异常点等缺点,分别提出自适应变频数据存储策略、动态调整门限值策略和异常点记录策略以提高算法精度。其次,针对变电站SCADA系统遥信、遥控、遥调数据采用变位存储方法,遥测数据采用改进旋转门算法。最后,通过算例验证了所提方法的有效性。

In order to solve the data storage problem caused by the access of the substation supervisory control and data acquisition(SCADA)system to the data storage problem,a substation data compression and storage method based on the improved revolving door algorithm is proposed.Firstly,the lossy compression algorithm of the revolving gate is introduced,and in view of the shortcomings of fixed storage frequency,fixed threshold value and ignored abnormal points,the adaptive frequency conversion data storage strategy,the dynamic adjustment threshold value strategy and the abnormal point recording strategy are proposed to improve the accuracy of the algorithm.Secondly,the variable position storage method is adopted for the remote message,remote control and remote adjustment data of the SCADA system of the substation,and the improved revolving door algorithm is adopted for the telemetry data.Finally,the effectiveness of the proposed method was verified through numerical examples.