数据压缩算法在储能电站中的应用研究

A Data Compression Algorithm for Energy Storage Power Station

针对储能系统中海量的存储数据,采用旋转门压缩算法,对数据进行处理和压缩,节省数据的存储空间,选取系统中某电池簇12小时的运行数据进行模拟仿真。实验结果表明,使用该方法可大大节约数据的存储空间,在满足系统精度的需求上能够最大化压缩数据,合理减少数据的存储量。

This paper uses swinging door transformation(SDT) to compress the massive storage data in the energy storage system.This paper selects the 12 hour operation data of a battery-cluster in the system for simulation.The experimental results show that the SDT can greatly save the storage space of data.This method can maximize the compression of data and reduce the storage of data with reasonably accuracy.