Performance and energy efficiency of the analysis of the growing synchrophasor in a high-perfomance computing environment

Abstract

Synchronized phasor (synchrophasor) measurements for power systems are is very useful tool for engineers in analyzing dynamic events in the grid which is not possible with traditional SCADA measurements and was codified in IEEE C37.118 Synchrophasor for Power Systems and IEEE 60255-118-1-2018 Synchrophasor for power systems - Measurements standards. Online and retrospective processing of data collected from hundreds and thousands of sources of synchrophasor measurements is a complex computational task. A Python based framework for digital signal processing with its parallel implementation was developed to use it in analysis of growing synchrophasor measurements. An implementation shows satisfactory performance and parallel scaling. The energy-efficient regimes of its parallel execution were found. Ways of further optimization are identified. The results of numerical experiments are presented.