Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6860831 | International Journal of Electrical Power & Energy Systems | 2012 | 7 Pages |
Abstract
Introduction of processor based instruments in power systems is resulting in the rapid growth of the measured data volume. The present practice in most of the utilities is to store only some of the important data in a retrievable fashion for a limited period. Subsequently even this data is either deleted or stored in some back up devices. The investigations presented here explore the application of lossless data compression techniques for the purpose of archiving all the operational data - so that they can be put to more effective use. Four arithmetic coding methods suitably modified for handling power system steady state operational data are proposed here. The performance of the proposed methods are evaluated using actual data pertaining to the Southern Regional Grid of India.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sarasij Das, P.S. Nagendra Rao,