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

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.