Modeling Battery Energy Storage System operating in DC microgrid with DAB converter

This paper presents a computational model for studying the energy flow at the integration of a battery bank (BB) to a DC microgrid, through the use of the Dual Active Bridge (DAB) converter. The one time constant model was adopted for the battery, with its parameters obtained through exponential regression by the Least Squares method, through its hysteresis curve between terminal voltage and load level percentage. The curve was synthesized by data collected from a LiFeYPO4 reference battery. The DAB converter was controlled by the Phase-Shift modulation technique. The converter power management occurs through a state machine, which defines the conditions of energy flow between the microgrid and the energy storage system. This paper has educational aims for the study of energy flow at the integration of BB into DC microgrids.

[1]  Javier Sebastian,et al.  An overall study of a Dual Active Bridge for bidirectional DC/DC conversion , 2010, 2010 IEEE Energy Conversion Congress and Exposition.

[2]  Qi Li,et al.  An energy management system based on hierarchical control and state machine for the PEMFC-battery hybrid tramway , 2017, 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific).

[3]  Alex Q. Huang,et al.  Power Management for DC Microgrid Enabled by Solid-State Transformer , 2014, IEEE Transactions on Smart Grid.

[4]  Hui Li,et al.  Impedance modeling and verification of a dual active bridge (DAB) DC/DC converter enabled DC microgrid in FREEDM system , 2016, 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia).

[5]  Oriol Gomis-Bellmunt,et al.  Trends in Microgrid Control , 2014, IEEE Transactions on Smart Grid.

[6]  Gang Chen,et al.  A novel soft-switching and low-conduction-loss bidirectional DC-DC converter , 2000, Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435).

[7]  Florian Krismer,et al.  Modeling and optimization of bidirectional dual active bridge DC-DC converter topologies , 2010 .

[8]  Joachim N. Burghartz,et al.  Lithium-ion battery models: a comparative study and a model-based powerline communication , 2017 .

[9]  Ruituo Huai,et al.  State-of-Charge Estimation for Lithium-Ion Batteries Using a Kalman Filter Based on Local Linearization , 2015 .

[10]  R. T. Naayagi,et al.  High-Power Bidirectional DC–DC Converter for Aerospace Applications , 2012, IEEE Transactions on Power Electronics.

[11]  Ravindra M. Moharil,et al.  A Control and Protection Model for the Distributed Generation and Energy Storage Systems in Microgrids , 2016 .

[12]  Prabodh Bajpai,et al.  Solar PV fed standalone DC microgrid with hybrid energy storage system , 2017, 2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA).

[13]  Arun Kumar Verma,et al.  Grid to vehicle and vehicle to grid energy transfer using single-phase half bridge boost AC-DC converter and bidirectional DC - DC converter , 2012 .

[14]  Wina Crijns-Graus,et al.  Microgrids: experiences, barriers and success factors , 2014 .

[15]  Jih-Sheng Lai,et al.  A high-efficiency grid-tie battery energy storage system , 2011, IEEE Transactions on Power Electronics.

[16]  S. S. Bharatkar,et al.  Potential of MicroSources, Renewable Energy sources and Application of Microgrids in Rural areas of Maharashtra State India , 2012 .

[17]  Rodrigo Palma-Behnke,et al.  A Microgrid Energy Management System Based on the Rolling Horizon Strategy , 2013, IEEE Transactions on Smart Grid.

[18]  Athula D. Rajapakse,et al.  Voltage balancing and synchronization of microgrids with highly unbalanced loads , 2014 .