Model predictive control of three level buck/boost converter for bipolar DC microgrid applications
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Date
2019
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Emergence of bipolar dc microgrids calls for the need of bipolar converter configurations for the integration of battery energy storage system (BESS), electric vehicle dc fast charging stations (EVCS) etc. This paper proposes model predictive control of a bipolar bidirectional buck/boost converter derived from three level converter (TLC) configuration in a bipolar dc microgrid. Bipolar dc microgrid is fed by power from solar PV systems and BESS. State space analysis is done and discrete model is developed. Simulation of the proposed system with model predictive control (MPC) is done in Simulink MATLAB and analysed for the voltage unbalance issues of bipolar dc microgrid under varying conditions of photovoltaic generations and load disturbance. From the simulation results, proposed converter with model predictive control technique gives faster response in mitigating the voltage unbalance and grid voltage regulation issues arising in bipolar dc microgrid. © 2019 IEEE.
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Keywords
BESS, Bidirectional power flow, Bipolar buck boost converter, Bipolar dc micro grid, Capacitance voltage balancing, EV charging, Model predictive control, TLC converter
Citation
2019 IEEE 16th India Council International Conference, INDICON 2019 - Symposium Proceedings, 2019, Vol., , p. -