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Optimal Sizing of Battery Energy Storage System in a Shipboard Power System with considering Energy Management Optimization
Author(s) -
Xianqiang Bao,
Xinghua Xu,
Yan Zhang,
Yiyong Xiong,
Chengya Shang
Publication year - 2021
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2021/9032206
Subject(s) - sizing , energy storage , computer science , renewable energy , electric power system , automotive engineering , integer programming , scheduling (production processes) , power (physics) , environmental science , mathematical optimization , engineering , electrical engineering , mathematics , art , physics , algorithm , quantum mechanics , visual arts
Due to the increasing concerns about the environmental and economic issues of traditional ships, all-electric ships with energy storage and renewable energy integration have become more and more appealing for the forthcoming future. In this paper, an optimal energy storage system (ESS) capacity determination method for a marine ferry ship is proposed; this ship has diesel generators and PV panels. ESSs sizing optimization and power system scheduling optimization are simultaneously conducted and it is converted to a mixed-integer quadratic programming (MIQP) model with special modeling techniques. The case study shows that the proposed method is flexible and effective, and the relationships between the ESSs size and the discharge rate, life cycle times, or initial investment cost are investigated.

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