Distributed MPC-Based Secondary Control for Energy Storage Systems in a DC Microgrid

In this paper, a novel distributed model predictive control (DMPC) strategy based on voltage observer for multiple energy storage systems (ESs) is firstly proposed to achieve a tradeoff between voltage regulation and power sharing. In order to reduce the impact of communication delay on voltage observer, an improved DMPC consensus algorithm is proposed. This scheme improves the robustness of the system to the delay. Besides, a small-signal dynamic model of a DC microgrid with the improved DMPC controllers is established to analyze its dynamic performance. The time-domain simulation results are presented to verify that, under the constraints of the DC bus voltage, a flexible trade-off between voltage regulation and power distribution can be achieved. Besides, the communication delay problems can be reduced.

Automated summary

A novel distributed model predictive control strategy based on voltage observer for multiple energy storage systems is proposed to balance voltage regulation and power sharing. An improved DMPC consensus algorithm is introduced to enhance the system's robustness to communication delay. Time-domain simulation results demonstrate a flexible trade-off between voltage regulation and power distribution can be achieved under DC bus voltage constraints, with reduced communication delay problems.