• DocumentCode
    3666096
  • Title

    A hybrid framework for online dynamic security assessment combining high performance computing and synchrophasor measurements

  • Author

    Evangelos Farantatos;Alberto Del Rosso;Navin Bhatt;Kai Sun;Yilu Liu;Liang Min;Chaoyang Jing;Jiawei Ning;Manu Parashar

  • Author_Institution
    Electric Power Research Institute (EPRI), Palo Alto, CA, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A hybrid simulation/measurement-based framework for online dynamic security assessment (DSA) is proposed in this work. It combines the strengths and features of simulation-based and measurement-based approaches to develop a tool that integrates the results and provides real-time situational awareness on available operating margins against major stability problems. High performance computing capability is suggested and used in the simulation-based engine, while synchrophasor measurements are used as the input to the measurement-based stability assessment algorithms. The proposed framework is expected to provide solid foundation for new generation of real-time DSA tools that are needed for operators to assess in real-time the system´s dynamic performance and operational security risk.
  • Keywords
    "Power system stability","Real-time systems","Stability criteria","Computational modeling","Voltage measurement","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286581
  • Filename
    7286581