| Abstract [eng] |
In to currently used control and monitoring system SCADA, only the most important and most necessary information, coming from a variety of power system network devices and objects, is gathering and collecting for the purpose not to overload the system itself and professionals who are working with it. However in this way a lot of data is lost, which with properly processing could ensure more stable and reliable operation of the network. In this paper presented, possibly installed, and operating in parallel with SCADA system, the Cloud Computing advantages and disadvantages. This technology would enable to collect and transfer all available data, store it, make proper processes, create desired statistics, perform backup devices commands, make more detailed network monitoring and connect to the system via dedicated software, which have access to the internet. To process and visualize a large amount of data, with help of MatLab program package, two different visualization codes were written from the measurements of three obsolete transformers. The first visualization code were written using Sammon mapping principle, which nonlinear object parameters reflect as points in a two-dimensional plane. Received results allow us to indicate operating modes and upcoming faults of a device. In order to move to single parameter visualization were written the second code using normal (Gaussian) distribution principle, which from data makes probability distribution curve, calculate arithmetic mean and standard deviation. Given results determine analyzed parameter ranges of the all values in which the device works in a normal operation mode. |
