Performance analysis of resumable load data compression algorithm (RLDA) for power system operational data

Load despatch Centre (LDC) operating at different levels is responsible for monitoring of system parameters and scheduling of different generating stations within its control area. After application of Availability Based Tariff (ABT), there is a reduction in excessive power drawl by distribution companies and non-availability or frequent disruption of generating stations. Sudden variation of system parameters over a wide range is not a frequent problem now-a-days which in turn indicates the repetitive nature of data encountered. Resumable Load Data Compression Algorithm (RLDA), a lossless compression algorithm, was developed to compress load profile data. This algorithm compresses a data array to a bit string of much size. The achievable compression ratio is very high which encourages its implementation for power system data management. In this paper, RLDA was developed in MATLAB- environment and tested with various generation scheduling data to obtain the results. Although a high but varying compression ratio is achieved by this algorithm with power system operational data, higher computational burden and need of probability distribution information for decoding limits its implementation.