Hybrid Quantum-Classical Dispatching for High-Renewable Power Systems:A Noise-Resilient Variational Approach with Real-World Validation

TL;DR

This paper presents a hybrid quantum-classical dispatching method for renewable power systems that is noise-resilient and validated with real-world data, showing improved cost, reliability, and robustness.

Contribution

It introduces a novel variational quantum algorithm integrated with classical optimization tailored for realistic power system operations with high renewable energy.

Findings

Significant cost reductions achieved in simulations.

Enhanced dispatch reliability under hardware noise.

Validated effectiveness through real-world case study.

Abstract

This study introduces a hybrid quantum-classical dispatching framework designed for power systems with high renewable penetration. The proposed method integrates a variational quantum algorithm with classical optimization to provide noise-resilient performance under realistic hardware constraints. Extensive numerical tests and a real-world case study demonstrate significant improvements in cost reduction, dispatch reliability, and robustness to device noise. The approach highlights the potential of near-term quantum computing to address critical challenges in renewable energy integration. The results bridge the gap between quantum algorithms and practical energy system operations, offering a pathway for sustainable and efficient power system management.