Development of lossless compression algorithms for power system operational data

Abstract

Power system measurement is extremely crucial for the stable power system operation and results in the generation of bulk data. This enormous volume of data must be transferred from field devices to the control centre and must be preserved for future references. Analysis of practical generation scheduling and monitoring data indicates its repetitive and slow varying nature. A simple, low-computational compression algorithm, the differential binary encoded algorithm (DBEA), is developed for compressing such information and a high compression ratio is achieved for the majority of practical data sets. To overcome the constraints of the DBEA, extended version of DBEA (E-DBEA) is developed which increases the range of input at the expense of compression ratio. Resumable load data compression algorithm (RLDA) is a differential coding-based algorithm developed for compressing load profile data. Comparison of the performance obtained by the DBEA, E-DBEA and RLDA with practical data sets clearly indicates the effectiveness of the DBEA and E-DBEA. The online test bench of the DBEA and E-DBEA consists of two inter connected PCs, one working as virtual load despatch centre and other as virtual generating station or sub-station. Due to the simplicity of the proposed work, it can be useful for data storage and data transfer both at high-level PCs and low-level microcontrollers.