A load frequency coordinated control strategy for multimicrogrids with V2G based on improved MA-DDPG

The capacity of a single microgrid is limited, so the multimicrogrid system (MMS) has been widely used to improve the reliability and stability. And the mobile energy storage unit electric vehicles (EVs) with vehicle-to -grid (V2G) capability can improve the flexibility of the microgrid frequency control. Considering the complex structure of the MMS, a load frequency control (LFC) strategy for multimicrogrids with V2G based on improved multiagent deep deterministic policy gradient (MA-DDPG) is proposed in this paper. Firstly, a multimicrogrid LFC model including distributed power generation, micro gas turbine (MT), EVs which consider the random behavior of EV users and the mobility of EVs as dynamic limitations is constructed, the contact relationship between the submicrogrid controllers is added. Secondly, the MA-DDPG algorithm is improved to significantly reduce transmission cost and computational complexity. Additionally, the state, action space and reward func-tion of the multiagent controller is designed. Finally, the simulation results show that, compared with PID, Fuzzy and traditional MA-DDPG control, the improved MA-DDPG can ensure the overall stability of MMS through cooperative control in the face of various complex operating scenarios. And under the premise of ensuring the control effect, the loss caused by transmission is significantly reduced.

Automated summary

This paper proposes a load frequency control strategy for multimicrogrids with vehicle-to-grid (V2G) based on improved multiagent deep deterministic policy gradient (MA-DDPG). The strategy can consider the complex structure of the multimicrogrid system and ensure the overall stability of the system through cooperative control. Simulation results show that the improved MA-DDPG can guarantee the stability of the multimicrogrid system and significantly reduce transmission loss compared to other control methods.