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Resilience Neural-Network-Based Methodology Applied on Optimized Transmission Systems Restoration

Author

Listed:
  • Josip Tosic

    (Toska Ltd., 10000 Zagreb, Croatia)

  • Srdjan Skok

    (Department of Electrical Engineering, Algebra University College, 10000 Zagreb, Croatia)

  • Ljupko Teklic

    (Croatian Transmission System Operator, 10000 Zagreb, Croatia)

  • Mislav Balkovic

    (Department of Electrical Engineering, Algebra University College, 10000 Zagreb, Croatia)

Abstract

This paper presents an advanced methodology for restoration of the electric power transmission system after its partial or complete failure. This load-optimized restoration is dependent on sectioning of the transmission system based on artificial neural networks. The proposed methodology and the underlying algorithm consider the transmission system operation state just before the fallout and, based on this state, calculate the power grid parameters and suggest the methodology for system restoration for each individual interconnection area. The novel methodology proposes an optimization objective function as a maximum load recovery under a set of constraints. The grid is analyzed using a large amount of data, which results in an adequate number of training data for artificial neural networks. Once the artificial neural network is trained, it provides an almost instantaneous network recovery plan scheme by defining the direct switching order.

Suggested Citation

  • Josip Tosic & Srdjan Skok & Ljupko Teklic & Mislav Balkovic, 2022. "Resilience Neural-Network-Based Methodology Applied on Optimized Transmission Systems Restoration," Energies, MDPI, vol. 15(13), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4694-:d:848452
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    References listed on IDEAS

    as
    1. Mariano G. Ippolito & Rossano Musca & Gaetano Zizzo, 2021. "Analysis and Simulations of the Primary Frequency Control during a System Split in Continental Europe Power System," Energies, MDPI, vol. 14(5), pages 1-22, March.
    2. Dian Najihah Abu Talib & Hazlie Mokhlis & Mohamad Sofian Abu Talip & Kanendra Naidu & Hadi Suyono, 2018. "Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands," Energies, MDPI, vol. 11(5), pages 1-17, May.
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