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Green shipping and electrification have been the main topics in the shipping industry. In this process, the pure battery-powered ship is developed, which is zero-emission and well-suited for inland shipping. Currently, battery swapping stations and ships are being explored since battery charging ships may not be feasible for inland long-distance trips. However, improper infrastructure planning for battery swapping stations and ships will increase costs and decrease operation efficiency. Therefore, a bilevel optimal infrastructure planning method is proposed in this paper for battery swapping stations and ships. First, the energy consumption model for the battery swapping ship is established considering the influence of the sailing environment. Second, a bilevel optimization model is proposed to minimize the total cost. Specifically, the battery swapping station (BSS) location problem is investigated at the upper level. The optimization of battery size in each battery swapping station and ship and battery swapping scheme are studied at the lower level based on speed and energy optimization. Finally, the bilevel self-adaptive differential evolution algorithm (BlSaDE) is proposed to solve this problem. The simulation results show that total cost could be reduced by 5.9% compared to the original results, and the effectiveness of the proposed method is confirmed.
A. Fan, J. Wang, Y. He, M. Perčić, N. Vladimir, and L. Yang, Decarbonising inland ship power system: Alternative solution and assessment method, Energy, vol. 226, pp. 120266, 2021.
P. Balcombe, J. Brierley, C. Lewis, L. Skatvedt, J. Speirs, A Hawkes, and I. Staffell, How to decarbonise international shipping: Options for fuels, technologies and policies, Energy Conversion and Management, vol. 182, pp. 72–88, 2019.
C. Nuchturee, T. Li, and H. Xia, Energy efficiency of integrated electric propulsion for ships – A review, Renewable and Sustainable Energy Reviews, vol. 134, pp. 110145, 2020.
O. Alnes, S. Eriksen, and B.-J. Vartdal, Battery-powered ships: A class society perspective, IEEE Electrification Magazine, vol. 5, no. 3, pp. 10–21, 2017.
A. Jeong, H. Jang, W. Lee, C. Park, S. Ha, D. K. Kim, and N.-K. Cho, Is electric battery propulsion for ships truly the lifecycle energy solution for marine environmental protection as a whole?, Journal of Cleaner Production, vol. 355, pp. 131756, 2022.
D. Villa, A. Montoya, and J. Ciro, The electric boat charging problem, Production, vol. 29, pp. e20190067,01–14, 2019.
H. Lan, S. Wen, Y.-Y. Hong, D. C. Yu, and L. Zhang, Optimal sizing of hybrid pv/diesel/battery in ship power system, Applied Energy, vol. 158, pp. 26–34, 2015.
A. Boveri, F. Silvestro, M. Molinas, and E. Skjong, Optimal sizing of energy storage systems for shipboard applications, IEEE Transactions on Energy Conversion, vol. 34, no. 2, pp. 801–811, 2019.
S. Wen, H. Lan, David. C. Yu, Q. Fu, Y.-Y. Hong, L. Yu, and R. Yang, Optimal sizing of hybrid energy storage sub- systems in pv/diesel ship power system using frequency analysis, Energy, vol. 140, pp. 198–208, 2017.
X. Wang, U. Shipurkar, A. Haseltalab, H. Polinder, F. Claeys, and R. R. Negenborn, Sizing and control of a hybrid ship propulsion system using multi-objective double-layer optimization, IEEE Access, vol. 9, pp. 72587–72601, 2021.
X. Bao, X. Xu, Y. Zhang, Y. Xiong, and C. Shang, Optimal sizing of battery energy storage system in a shipboard power system with considering energy management optimization, Discrete Dynamics in Nature and Society, vol. 2021, pp. 9032206, 2021.
G. Sulligoi, A. Vicenzutti, and R. Menis, All-electric ship design: From electrical propulsion to integrated electrical and electronic power systems, IEEE Transactions on Transportation Electrification, vol. 2, no. 4, pp. 507–521, 2016.
C. Shang, D. Srinivasan, and T. Reindl, Economic and environmental generation and voyage scheduling of all- electric ships, IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 4087–4096, 2016.
L. Sun, Y. Zhang, F. Ma, F. Ji, and Y. Xiong, Energy and speed optimization of inland battery-powered ship with considering the dynamic electricity price and complex navigational environment, Energy Reports, vol. 9, pp. 293–304, 2023.
F. D. Kanellos, Optimal power management with ghg emissions limitation in all-electric ship power systems comprising energy storage systems, IEEE Transactions on Power Systems, vol. 29, no. 1, pp. 330–339, 2014.
S. Wen, T. Zhao, Y. Tang, Y. Xu, M. Zhu, and Y. Huang, A joint photovoltaic-dependent navigation routing and energy storage system sizing scheme for more efficient all-electric ships, IEEE Transactions on Transportation Electrification, vol. 6, no. 3, pp. 1279–1289, 2020.
Y. Zhang, L. Sun, F. Ma, Y. Wu, W. Jiang, and L. Fu, Collaborative optimization of the battery capacity and sailing speed considering multiple operation factors for a battery-powered ship, World Electric Vehicle Journal, vol. 13, no. 2, p. 5543, 2022.
S. Fang, Y. Xu, Z. Li, Z. Ding, L. Liu, and H. Wang, Optimal sizing of shipboard carbon capture system for maritime greenhouse emission control, IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 5543–5553, 2019.
T. Zhao, J. Qiu, S. Wen, and M. Zhu, Efficient onboard energy storage system sizing for all-electric ship microgrids via optimized navigation routing under onshore uncertainties, IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 1664–1674, 2022.
W. Zhang, X. P. Yan, and D. Zhang, Charging station location optimization of electric ship based on backup coverage model, TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, vol. 11, no. 2, pp. 323–327, 2017.
D. Villa, A. Montoya, and A. M. Herrera, The electric riverboat charging station location problem, Journal of Advanced Transportation, vol. 2020, p. 6527924, 2020.
C. Vélez and A. Montoya, The fluvial passenger transport design problem with an electric boat, Case Studies on Transport Policy, vol. 12, p. 100972, 2023.
X. Sun, X. Yan, B. Wu, and X. Song, Analysis of the operational energy efficiency for inland river ships, Transportation Research Part D: Transport and Environment, vol. 22, pp. 34–39, 2013.
A. Fan, X. Yan, Q. Yin, X. Sun, and D. Zhang, Clustering of the inland waterway navigational environment and its effects on ship energy consumption, Journal of Engineering for the Maritime Environment, vol. 231, no. 1, pp. 57–69, 2017.
J. Zhang, K.-J. Li, M. Wang, W.-J. Lee, H. Gao, C. Zhang, and K. Li, A bi-level program for the planning of an islanded microgrid including caes, IEEE Transactions on Industry Applications, vol. 52, no. 4, pp. 2768–2777, 2016.
A. Sinha, P. Malo, and K. Deb, A review on bilevel optimization: From classical to evolutionary approaches and applications, IEEE Transactions on Evolutionary Computation, vol. 22, no. 2, pp. 276–295, 2018.
R. Storn and K. Price, Differential evolution – A simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, vol. 11, pp. 341–359, 1997.
S. Das and P. N. Suganthan, Differential evolution: A survey of the state-of-the-art, IEEE Transactions on Evolutionary Computation, vol. 15, no. 1, pp. 4–31, 2011.
C. Dai, X. Sun, H. Hu, Y. Zhang, and D. Gong, A constraint adaptive multi-tasking differential evolution algorithm: designed for dispatch of integrated energy system in coal mine, Tsinghua Science and Technology, vol. 29, no. 2, pp. 368–385, 2024.
K. Qiao, J. Liang, B. Qu, K. Yu, C. Yue, and H. Song, Differential evolution with level-based learning mechanism, Complex System Modeling and Simulation, vol. 2, no. 1, pp. 35–58, 2022.
Z. Yan, W. Gong, and S. Li, Adaptive differential evolution with linear population reduction for parameter estimation of solar cell models, International Journal of Automation and Control, vol. 16, no. 6, pp. 716–739, 2022.
R. Mathieu, L. Pittard, and G. Anandalingam, Genetic algorithm based approach to bi-level linear programming, RAIRO - Operations Research - Recherche Oprationnelle, vol. 28, no. 1, pp. 1–21, 1994.
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