Accurate Power Sharing of Hybrid Energy Storage System in DC Shipboard Power System Based on Quadratic Programming Algorithm.pdf (1.15 MB)
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Accurate power sharing of hybrid energy storage system in DC shipboard power system based on quadratic programming algorithm

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conference contribution
posted on 07.09.2020, 08:38 authored by Tianling Shi, Heyu Liu, Fei Wang, Shengqi Zhang, Hui Guo, Zhengyu LinZhengyu Lin
The DC shipboard power system (DC-SPS) can be regarded as an island microgrid, supplying energy to propulsion systems, service devices and advanced equipment in future ships. Ensuring accurate power sharing among distributed power sources and maintaining the stability of DC bus voltage in DCSPS are prerequisites to run system in security and economy. Therefore, an accurate power sharing method based on the quadratic programming algorithm is proposed in this paper. That method aims at minimizing the cost of voltage regulation in the consideration of state of charge (SoC) of each energy storage device (ESD). In detail, the target power is determined by the DC bus voltage deviation, and further distributed among various energy storage by quadratic programming accurately. With the control method, the DC bus voltage is maintained within the desired voltage range. Moreover, the method can meet the plug-and-play requirements of distributed power. The effectiveness of the proposed control method is verified by real-time simulation.

Funding

National Key R&D Program of China (2017YFE0112400).

European Union’s Horizon 2020 research and innovation programme under grant agreement No.734796.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

Pages

1123 - 1128

Source

2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2020-07-30

Copyright date

2020

ISBN

9781728156354

eISSN

2163-5145

Language

en

Event dates

Delft, Netherlands [Online]

Depositor

Dr Zhengyu Lin. Deposit date: 2 September 2020