Adaptive Coordinated Control of Microgrid under Communication Interruption Scenario

Aiming at the coordinated control problem of the microgrid under the communication interruption scenario, an adaptive coordinated control strategy is proposed. Establish an equivalent model through external system through local measurement and historical data, use particle filter algorithm combined with convolutional neural network to complete state estimation, and obtain equivalent parameter identification results through linear fitting. Each unit adaptively corrects the droop coefficient based on the parameter identification results to complete the optimal distribution of power and rapid recovery of voltage and frequency. The system model is built based on the MATLAB/Simulink simulation platform, and the effectiveness of the proposed control strategy is verified by comparing the simulation results.