HIGHLIGHTS
- who: Jiankai Gao et al. from the School of Electrical Engineering, Northeast Electric Power University, Jilin, China have published the Article: Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm, in the Journal: Energies 2023, 3248 of /2023/
- what: To address the above challenges, the authors propose a data-driven approach that leverages a deep reinforcement learning (DRL) algorithm to coordinate the energy management of MMG. To tackle the energy management problem of an MMG system, which consists of multiple renewable energy microgrids belonging to different operating entities, the authors . . .
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