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This article focuses on applying hybrid quantum workflows to solve complex optimization problems within power grids, a task where classical computing often hits scalability limits. By leveraging quantum algorithms for specific sub-problems while using classical systems for others, this approach aims to enhance grid stability and efficiency without requiring immediate full-scale quantum hardware deployment. The core technical contribution lies in the architectural integration of quantum processors into existing industrial control frameworks.