Multiagent Distributed Secondary Control for Energy Storage Systems With Lossy Communication Networks in DC Microgrid

For the energy storage system (ESS) with lossy communication networks of packet loss in DC microgrid, the multiagent distributed secondary control strategy is proposed to manage the ESS. The multiagent dynamic-tracking consensus protocol (DCP) based on the random packet loss model is constructed to estimate the global information for the dynamic network with lossy communication. Then the adaptive current sharing algorithm (ACSA) is designed to balance the state of charge (SoC) for ESSs with different capacities. Furthermore, the data-driven model-free adaptive control (MFAC) scheme is proposed for the single-input multiple-output (SIMO) nonlinear ESS to provide accurate voltage tracking and current sharing. Finally, the real-time simulation tests of different case studies are carried out through the OPAL-RT platform to verify the effectiveness of the designed control strategy. Simulation results can prove that the favorable capabilities of current sharing and voltage regulation as well as robustness to communication packet loss and communication faults can be achieved.

Automated summary

A multiagent distributed secondary control strategy is proposed to manage the energy storage system (ESS) with lossy communication networks in a DC microgrid. This strategy includes the construction of a multiagent dynamic-tracking consensus protocol (DCP) based on a random packet loss model, the design of an adaptive current sharing algorithm (ACSA) to balance the state of charge (SoC), and the proposal of a data-driven model-free adaptive control (MFAC) scheme for accurate voltage tracking and current sharing. Real-time simulation tests are conducted to verify the effectiveness of the designed control strategy, showing favorable capabilities in current sharing, voltage regulation, and robustness to communication packet loss and faults.