Sizing and Siting of Distributed Cloud Energy Storage Systems for a Shipboard Power System

被引:27
作者
Lai, Kexing [1 ]
Illindala, Mahesh S. [2 ]
机构
[1] Kansas State Univ, Dept Elect & Comp Engn, Manhattan, KS 66506 USA
[2] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
关键词
Generators; Resilience; Microgrids; Energy storage; Planning; Power systems; Fuels; Energy storage system; microgrid planning; resilience; shipbuilding industry; stochastic programming; MANAGEMENT; STRATEGY; DESIGN;
D O I
10.1109/TIA.2021.3057305
中图分类号
T [工业技术];
学科分类号
120111 [工业工程];
摘要
The research on ship electrification is gaining renewed interest to take advantage of the numerous benefits offered by microgrids in the development of an all-electric ship (AES). A key aspect of the AES is in planning of cost effective and resilient shipboard power system (SPS). The integration of energy storage system (ESS) in SPS is found to help achieve this goal. An ESS can improve the fuel economy of diesel generators by regulating their load demand and provide emergency power promptly whenever necessary. This article proposes a planning strategy for sizing and siting of a special ESS integration configuration, distributed cloud ESS (DCESS), in the SPS. While the aim of DCESS sizing is minimizing the total cost of SPS, the objective of DCESS siting is to enhance the resilience of SPS. By stochastic programming, the optimal solution with respect to representative operating conditions and fault scenarios is obtained. The proposed DCESS configuration would facilitate easy power exchange among the electrical zones. A comparison with the conventional ESS configuration is presented and the benefit of DCESS configuration on resilience enhancement is demonstrated.
引用
收藏
页码:1935 / 1944
页数:10
相关论文
共 39 条
[1]
All-Electric Ship Energy System Design Using Classifier-Guided Sampling [J].
Backlund, Peter B. ;
Seepersad, Carolyn Conner ;
Kiehne, Thomas M. .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2015, 1 (01) :77-85
[2]
Power Flow Approach for Modeling Shipboard Power System in Presence of Energy Storage and Energy Management Systems [J].
Balsamo, Flavio ;
De Falco, Pasquale ;
Mottola, Fabio ;
Pagano, Mario .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2020, 35 (04) :1944-1953
[3]
Optimal Sizing of Energy Storage Systems for Shipboard Applications [J].
Boveri, Alessandro ;
Silvestro, Federico ;
Molinas, Marta ;
Skjong, Espen .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (02) :801-811
[4]
Zonal ship design [J].
Doerry, N .
NAVAL ENGINEERS JOURNAL, 2006, 118 (01) :39-53
[5]
Elsayed AT, 2016, IEEE IND APPLIC SOC
[6]
Decentralized Control Algorithm for the Hybrid Energy Storage of Shipboard Power System [J].
Faddel, Samy ;
Saad, Ahmed A. ;
Youssef, Tarek ;
Mohammed, Osama .
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2020, 8 (01) :720-731
[7]
Optimal Hierarchical Management of Shipboard Multibattery Energy Storage System Using a Data-Driven Degradation Model [J].
Fang, Sidun ;
Gou, Bin ;
Wang, Yu ;
Xu, Yan ;
Shang, Ce ;
Wang, Hongdong .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2019, 5 (04) :1306-1318
[8]
Reliable Power Scheduling of an Emission-Free Ship: Multiobjective Deep Reinforcement Learning [J].
Hasanvand, Saeed ;
Rafiei, Mehdi ;
Gheisarnejad, Meysam ;
Khooban, Mohammad-Hassan .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2020, 6 (02) :832-843
[9]
A Flexible Power Control Strategy for Hybrid AC/DC Zones of Shipboard Power System With Distributed Energy Storages [J].
He, Li ;
Li, Yong ;
Shuai, Zhikang ;
Guerrero, Josep M. ;
Cao, Yijia ;
Wen, Ming ;
Wang, Weiyu ;
Shi, Jingrong .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (12) :5496-5508
[10]
Joint voyage scheduling and economic dispatch for all-electric ships with virtual energy storage systems [J].
Huang, Yuqing ;
Hai Lan ;
Hong, Ying-Yi ;
Wen, Shuli ;
Fang, Sidun .
ENERGY, 2020, 190