Energy efficient hybrid graph neural predictive control and quantum-adaptive sliding mode regulation for LVRT enhancement in smart PV-integrated power grids
Puntos clave
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.
Control predictivo híbrido de grafos neurológicos eficiente en energía y regulación de modo deslizante cuántico-adaptativo para la mejora del LVRT en redes eléctricas inteligentes integradas con PV | Synapse