TY - GEN
T1 - Efficient Onboard Energy Storage System Sizing for All-Electric Ship Microgrids via Optimized Navigation Routing
AU - Zhao, Tianyang
AU - Qiu, Jiayu
AU - Wen, Shuli
AU - Zhu, Miao
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Energy storage system (ESS) is a critical component in all-electric ships (AESs). However, an improper size and management of energy storage system will deteriorate the technical and economic performance of the shipboard microgrids. In this paper, a joint optimization scheme is developed for ESS sizing and optimal power management for the whole shipboard power system. Different from traditional ESS sizing methods, which solve a minimum cost problem, a novel coordinated framework is proposed to jointly optimize the ESS size and voyage route for an AES, considering the time-dependent electricity price of onshore power. The main goals of this method are to reduce the capital and operational cost, GHG emissions and navigation time. Furthermore, the dynamic electricity prices are adopted to assist ship operators to select the optimal voyage routine. Several cases are compared to verify the proposed algorithm and numeral simulation results clearly demonstrate the high efficiency of the proposed method and necessity of navigation route scheduling.
AB - Energy storage system (ESS) is a critical component in all-electric ships (AESs). However, an improper size and management of energy storage system will deteriorate the technical and economic performance of the shipboard microgrids. In this paper, a joint optimization scheme is developed for ESS sizing and optimal power management for the whole shipboard power system. Different from traditional ESS sizing methods, which solve a minimum cost problem, a novel coordinated framework is proposed to jointly optimize the ESS size and voyage route for an AES, considering the time-dependent electricity price of onshore power. The main goals of this method are to reduce the capital and operational cost, GHG emissions and navigation time. Furthermore, the dynamic electricity prices are adopted to assist ship operators to select the optimal voyage routine. Several cases are compared to verify the proposed algorithm and numeral simulation results clearly demonstrate the high efficiency of the proposed method and necessity of navigation route scheduling.
KW - All-electric ship
KW - Energy storage system
KW - Joint sizing and voyage routing optimization
KW - Time-dependent electricity price of onshore power
UR - https://www.scopus.com/pages/publications/85124690230
U2 - 10.1109/IAS48185.2021.9677116
DO - 10.1109/IAS48185.2021.9677116
M3 - 会议稿件
AN - SCOPUS:85124690230
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
BT - 2021 IEEE Industry Applications Society Annual Meeting, IAS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Industry Applications Society Annual Meeting, IAS 2021
Y2 - 10 October 2021 through 14 October 2021
ER -