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Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors

Author

Listed:
  • Gian Paramo

    (Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL 32608, USA)

  • Arturo Bretas

    (Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL 32608, USA
    Pacific Northwest National Laboratory, Richland, WA 99352, USA)

Abstract

The reactive nature of traditional under-frequency load shedding schemes can lead to delayed response and unnecessary loss of load. This work presents a proactive framework for power system frequency stability. Bayesian filters and synchrophasors are leveraged to produce predictions after disturbances are detected. By being able to estimate the future state of frequency corrective actions can be taken before the system reaches a critical condition. This proactive approach makes it possible to optimize the response to a disturbance, which results in a decrease in the amount of compensation utilized. The framework is tested via Matlab simulations based on Kundur’s Two-Area System, and the IEEE 14-Bus System. Performance metrics are provided and evaluated against other contemporary solutions found in literature. During testing this framework outperformed other solutions by drastically reducing the amount of load dropped during compensation.

Suggested Citation

  • Gian Paramo & Arturo Bretas, 2023. "Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors," Energies, MDPI, vol. 16(11), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4530-:d:1164368
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    References listed on IDEAS

    as
    1. Christodoulos Floudas & Xiaoxia Lin, 2005. "Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications," Annals of Operations Research, Springer, vol. 139(1), pages 131-162, October.
    2. Gian Paramo & Arturo Bretas & Sean Meyn, 2022. "Research Trends and Applications of PMUs," Energies, MDPI, vol. 15(15), pages 1-32, July.
    3. Antans Sauhats & Andrejs Utans & Jurijs Silinevics & Gatis Junghans & Dmitrijs Guzs, 2021. "Enhancing Power System Frequency with a Novel Load Shedding Method Including Monitoring of Synchronous Condensers’ Power Injections," Energies, MDPI, vol. 14(5), pages 1-21, March.
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