Accurate Power Sharing of Hybrid Energy Storage System in DC Shipboard Power System Based on Quadratic Programming Algorithm.pdf (1.15 MB)
Accurate power sharing of hybrid energy storage system in DC shipboard power system based on quadratic programming algorithm
conference contribution
posted on 2020-09-07, 08:38 authored by Tianling Shi, Heyu Liu, Fei Wang, Shengqi Zhang, Hui Guo, Zhengyu LinZhengyu LinThe 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 - 1128Source
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher 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
2020-07-30Copyright date
2020ISBN
9781728156354eISSN
2163-5145Publisher version
Language
- en