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March 3, 2026Sustainable Computing Informatics and Systems0 citations

Energy efficient hybrid graph neural predictive control and quantum-adaptive sliding mode regulation for LVRT enhancement in smart PV-integrated power grids

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PKP. KathirvelPSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCHMKM KALIAMOORTYASA College

Key Points

  • Enhancement of low voltage ride through showed a significant increase with the proposed predictive control strategy.
  • Efficiency metrics improved by 25% over traditional methods when applied to PV-integrated power systems.
  • Assessment using a hybrid graph neural network approach demonstrated improved stability in the control mechanisms.
  • This approach highlights the potential of quantum-adaptive techniques in enhancing power system resilience, necessitating further testing.
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Cite This Study

Kathirvel et al. (2026) studied this question.

synapsesocial.com/papers/69a767febadf0bb9e87e32e4https://doi.org/10.1016/j.suscom.2026.101317
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