Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143254
Title: Hybrid energy storage system using bidirectional single-inductor multiple-port converter with model predictive control in DC microgrids
Authors: Wang, Benfei
Xian, Liang
Manandhar, Ujjal
Ye, Jian
Zhang, Xinan
Gooi, Hoay Beng
Ukil, Abhisek
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Wang, B., Xian, L., Manandhar, U., Ye, J., Zhang, X., Gooi, H. B., & Ukil, A. (2019). Hybrid energy storage system using bidirectional single-inductor multiple-port converter with model predictive control in DC microgrids. Electric Power Systems Research, 173, 38-47. doi:10.1016/j.epsr.2019.03.015
Journal: Electric Power Systems Research
Abstract: This paper presents a bidirectional single-inductor multiple-port (BSIMP) converter for integrating hybrid energy storage system (HESS) into DC microgrids, where the HESS is the combination of different types of energy storages (ESs). A control method based on model predictive control (MPC) is proposed to regulate the BSIMP converter for the HESS. With the MPC-based method, the ESs are controlled following their characteristics. Simultaneously, the DC microgrid bus voltage can be maintained against the fluctuations of the load consumption and renewable generation. Compared to conventional bidirectional single-input single-output converters, the proposed BSIMP converter significantly reduces the component count, system size and cost to integrate the HESS into DC microgrid. To verify the performance of the proposed BSIMP converter with MPC-based method, a series of hardware-in-loop (HIL) experimental cases are studied. Moreover, the comparison with previous works is conducted. The HIL experimental and comparison results demonstrate the successful regulation of HESS using the BSIMP converter in DC microgrid.
URI: https://hdl.handle.net/10356/143254
ISSN: 0378-7796
DOI: 10.1016/j.epsr.2019.03.015
Rights: © 2019 Duke University Press. All rights reserved. This paper was published by Elsevier B.V. in Electric Power Systems Research and is made available with permission of Duke University Press.
Fulltext Permission: embargo_20211231
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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