JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v9i7.13635ArticleComprehensive Power Dispatching in Smart Micro- Grid: Collaborative Optimization of Technology and Managementhttps://artdesignp.com/journal/JERA/9/7/10.26689/jera.v9i7.13635WangJiayi2025972025-12-31For the multi-objective scheduling problem of smart microgrids, a collaborative optimization framework based on deep reinforcement learning (DRL) and digital twins is proposed to achieve synergistic optimization of economic efficiency (cost reduction of 18%), environmental protection (carbon emissions of 0.33 kgCO2kwh), and reliability (power supply reliability rate ≥ 99.99%). Through empirical validation with a 200 mw microgrid, the model increased renewable energy consumption by 12% and reduced frequency excursion events by 80%. The study reveals technical bottlenecks such as storage response time (200 ms) and prediction error (RMSE 12–15%) under high renewable energy integration, providing solutions for the implementation of the “Blue Book on the Development of New Power Systems” (2023).

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