Optimization Method for the Operation of AC-DC Hybrid Microgrids Based on Hybrid Logic Dynamic Model

With the rapid development of renewable energy, AC-DC hybrid microgrids have become a crucial research focus in modern power systems due to their ability to efficiently integrate distributed energy sources and meet diverse load demands. However, the operation optimization of hybrid microgrids faces several challenges, including the coupling of continuous dynamics and discrete states, frequent switching of equipment modes, and voltage stability issues within the system. Traditional optimization methods often struggle to handle these complex characteristics simultaneously, leading to discrepancies between optimization results and actual operation. To address these challenges, this paper proposes an operation optimization strategy for hybrid DC microgrids based on the Hybrid Logic Dynamic (MLD) model. By unifying the system's continuous dynamics and discrete logic, and integrating the interaction mechanism of digital-physical hybrid simulations, the proposed strategy enables the pre-correction of microgrid operation schemes, thus enhancing the system's economic performance and stability.