Distributed Model Predictive Control for Multi-port DC-DC Converter Wind-Solar Complementary System

Abstract

For the large-scale and geographically dispersed wind-solar complementary system, the information communication between each sub-system is lacking, and the problem of synchronous optimization is not far apart. The strategy of distributed model predictive control is proposed to optimize and adjust the system power balance and voltage stability throughout the entire wind-solar complementary system. Aiming at the problem of power flow of wind, photovoltaic, and battery sub-system through multiple single-port bidirectional DC-DC converters, it is proposed to apply the multi-port bidirectional DC-DC converter to the wind-solar complementary system, thereby reducing the number of DC-DC converters and the cost. The experimental research proves that the proposed distributed model predictive control strategy is applied to the multi-port DC-DC converter type wind-solar complementary system. Comparing with the traditional control method, its optimization rate is high and the safe and reliable operation of the system is guaranteed.