Digital Twin Based Distributed Cooperative Frequency Control of Islanded Microgrids

Due to the intricate operational mechanisms of various renewable energy sources within existing microgrid systems, fluctuations in output or load power and frequency instability are prone to occur, this study proposes a collaborative frequency control strategy based on digital twin strategy with depth deterministic strategy gradient (DDPG). Firstly, the utilization of the DDPG algorithm in microgrid systems is analyzed, and the network parameters of the strategy are planned accordingly. Secondly, real-time data from the AC microgrid is collected through a sensor network. Finally, the DDPG algorithm model is trained to create a new intelligent algorithm engine for microgrid frequency control. Compared to simulations driven by the digital twin, the DDPG-based control strategy presented in this study enhances the control accuracy of the digital twin system for AC microgrids and accelerates convergence speed.