Multivariate cooperative power flow control strategy based on multiport converter

This paper proposes a multivariate cooperative power flow control strategy based on multi-port converter to address the power fluctuation problem of grid-connected renewable energy. By integrating the power interaction of grid sub-grids and port-level model predictive control through a hierarchical control architecture, we realize the cooperative optimal scheduling of distributed power sources, energy storage and loads, and design an adaptive smoothing mechanism that combines real-time data and dynamic optimization algorithms to regulate the power flow, effectively suppressing the fluctuations of renewable energy sources and the sudden changes of loads.