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Performance and Energy Efficiency of Algorithms Used to Analyze Growing Synchrophasor Measurements

  • Aleksandr Popov
  • Kirill Butin
  • Andrey Rodionov
  • Vladimir BerezovskyEmail author
Conference paper
  • 274 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11657)

Abstract

The development of synchrophasor measurement technology opens new possibilities in solving the problems of ensuring the proper functioning of energy systems. The timely processing of large volumes of measurement data is required. One of the current applications of synchrophasor measurement technology is the analysis of the oscillatory stability of the power systems. Many signal processing procedures can be represented as a set of related typical subtasks. In this paper an approach to high-level description of signal processing schemes in the form of generalized graph structures with the possibility of varying the applied methods for solving subtasks is presented. The program implementation of this approach is presented. The ways to paralleling such schemes on the general level are reviewed and one of them is implemented and analysed in details from performance and energy efficiency points of view. The 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.

Keywords

High-performance computing Digital signal processing Synchrophasor measurements Energy efficient computing Green computing 

Notes

Acknowledgements

All computing experiments were performed using the HPC environment at NArFU [16].

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Northern (Arctic) Federal UniversityArkhangelskRussia
  2. 2.Engineering Center EnergoserviceArkhangelskRussia

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