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Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning

Author

Listed:
  • Emanuele Ciapessoni

    (Ricerca sul Sistema Energetico—RSE S.p.A., Milan 20134, Italy)

  • Diego Cirio

    (Ricerca sul Sistema Energetico—RSE S.p.A., Milan 20134, Italy)

  • Stefano Massucco

    (Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, DITEN, University of Genova, Genoa 16145, Italy)

  • Andrea Morini

    (Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, DITEN, University of Genova, Genoa 16145, Italy)

  • Andrea Pitto

    (Ricerca sul Sistema Energetico—RSE S.p.A., Milan 20134, Italy)

  • Federico Silvestro

    (Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, DITEN, University of Genova, Genoa 16145, Italy)

Abstract

Assessment of dynamic stability in a modern power system (PS) is becoming a stringent requirement both in operational planning and in on-line operation, due to the increasingly complex dynamics of a PS. Further, growing uncertainties in forecast state and in the response to disturbances suggests the adoption of risk-based approaches in Dynamic Security Assessment (DSA). The present paper describes a probabilistic risk-based DSA, which provides instability risk indicators by combining an innovative probabilistic hazard/vulnerability analysis with the assessment of contingency impacts via time domain simulation. The tool implementing the method can be applied to both current and forecast PS states, the latter characterized in terms of renewable and load forecast uncertainties, providing valuable results for operation and operational planning contexts. Some results from a real PS model are discussed.

Suggested Citation

  • Emanuele Ciapessoni & Diego Cirio & Stefano Massucco & Andrea Morini & Andrea Pitto & Federico Silvestro, 2017. "Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning," Energies, MDPI, vol. 10(4), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:475-:d:94759
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    Citations

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    Cited by:

    1. Piotr Piechocki & Ryszard Frackowiak & Grzegorz Dombek & Irena Chmielewska, 2020. "Estimation of Short Circuit Duration for the Assessment of Dynamic Effects in Distribution Substations with Flexible Conductors," Energies, MDPI, vol. 13(4), pages 1-17, February.
    2. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    3. Emanuele Ciapessoni & Diego Cirio & Francesco Conte & Andrea Pitto & Stefano Massucco & Matteo Saviozzi, 2023. "Probabilistic Security-Constrained Preventive Control under Forecast Uncertainties Including Volt/Var Constraints," Energies, MDPI, vol. 16(4), pages 1-26, February.
    4. Mohammad Bagher Abolhasani Jabali & Mohammad Hosein Kazemi, 2017. "Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach," Energies, MDPI, vol. 10(8), pages 1-14, July.

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