Voltage Source Operation of the Energy-Router Based on Model Predictive Control

The energy router (ER) is regarded as a key component of microgrids. It is a converter that interfaces the microgrid(s) with the utility grid. The energy router has a multiport structure and bidirectional energy flow control. The energy router concept can be implemented in nearly zero energy buildings (NZEB) to provide flexible energy management. We propose a concept where ER is working as a single grid-forming converter with a predefined voltage reference. The biggest challenge is to maintain regulated voltage and frequency inside the NZEB in the idle operation mode, where traditional regulators, e.g., proportional-resonant (PR), proportional-integral-derivative (PID), will not meet the control design requirements and could have unstable behavior. To gain the stability of the system, we propose model predictive control (MPC). The design of the MPC algorithm is explained. A simulation software for power electronics (PLECS) is used to simulate the proposed algorithm. Finally, the simulation results are verified on an experimental prototype.

[1]  Ritwik Majumder,et al.  A Hybrid Microgrid With DC Connection at Back to Back Converters , 2014, IEEE Transactions on Smart Grid.

[2]  Andrii Chub,et al.  Hysteresis current control with distributed shoot-through states for impedance source inverters , 2016, Int. J. Circuit Theory Appl..

[3]  Marco Rivera,et al.  Model Predictive Control for Power Converters and Drives: Advances and Trends , 2017, IEEE Transactions on Industrial Electronics.

[4]  Xiao Zhang,et al.  Direct grid-side current model predictive control for grid-connected inverter with LCL filter , 2018 .

[5]  A Q Huang,et al.  The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet , 2011, Proceedings of the IEEE.

[6]  Frede Blaabjerg,et al.  Overview of Control and Grid Synchronization for Distributed Power Generation Systems , 2006, IEEE Transactions on Industrial Electronics.

[7]  Zhe Chen,et al.  Model Predictive Direct Power Control Based on Improved T-Type Grid-Connected Inverter , 2019, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[8]  Marian P. Kazmierkowski,et al.  State of the Art of Finite Control Set Model Predictive Control in Power Electronics , 2013, IEEE Transactions on Industrial Informatics.

[9]  M. Liserre,et al.  Evaluation of Current Controllers for Distributed Power Generation Systems , 2009, IEEE Transactions on Power Electronics.

[10]  Dmitri Vinnikov,et al.  Optimization and Implementation of the Proportional-Resonant Controller for Grid-Connected Inverter With Significant Computation Delay , 2020, IEEE Transactions on Industrial Electronics.

[11]  Huan Yang,et al.  Topologies and control strategies of multi-functional grid-connected inverters for power quality enhancement: A comprehensive review , 2013 .

[12]  Marian P. Kazmierkowski,et al.  Robust Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems With Revised Predictions , 2018, IEEE Transactions on Power Electronics.

[13]  Jia He,et al.  Energy Routing Control Strategy for Integrated Microgrids Including Photovoltaic, Battery-Energy Storage and Electric Vehicles , 2019, Energies.

[14]  Jianxiao Zou,et al.  Elimination of zero sequence circulating currents in paralleled three‐level T‐type inverters with a model predictive control strategy , 2018, IET Power Electronics.

[15]  Sergio Alejandro Gonzalez,et al.  A Robust Predictive Current Control for Three-Phase Grid-Connected Inverters , 2009, IEEE Transactions on Industrial Electronics.