@inproceedings{ae80e940c1b04b87a4cb975d9ca73788,
title = "Model Predictive Control for Hybrid Energy StorageSystem using Single-InductorDual-Input Single-Output Converter",
abstract = "This paper proposes a single-inductor dual-input single-output (SI-DISO) converter for the hybrid energy storage system (HESS) which consists of two energy storages with different characteristics. A model predictive control (MPC) based controller is developed to distribute the variable load power demand and renewable power generation efficiently to the two energy storages based on their characteristics. Ultimately, the DC bus voltage of the DC microgrid is maintained at a constant voltage value, without being affected much by the fluctuation of renewable power generation and the variable load power demand. By sharing a single-inductor converter for the energy storages, the number of circuit components, topology complexity and cost can be reduced. The workability and effectiveness of the proposed method is validated by conducting hardware in-loop (HIL) experiments, and the HIL experimental results are analyzed in details. {\textcopyright} 2018 IEEE.",
author = "S.M. Tan and B. Wang and U. Manandhar and K. Chaudhari and A. Paudel and H.B. Gooi",
year = "2018",
month = sep,
day = "20",
doi = "10.1109/ISGT-Asia.2018.8467942",
language = "English",
isbn = "978-1-5386-4290-0",
series = "International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "97--102",
editor = "Quan Hao and Anurag Sharma",
booktitle = "International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018",
address = "United States",
note = "2018 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia ; Conference date: 22-05-2018 Through 25-05-2018",
}