基于双层优化模型的船舶混合动力系统最优能量调度

IF 3.3 Q3 ENERGY & FUELS MRS Energy & Sustainability Pub Date : 2023-09-19 DOI:10.1557/s43581-023-00068-w
Xinyu Wang, Zibin Li, Xiaoyuan Luo, Shaoping Chang, Hongyu Zhu, Xinping Guan, Shuzheng Wang
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A novel bi-level optimization model-based optimal energy scheduling for hybrid ship power system
With the rapid growth of energy consumption and greenhouse gas emissions, the application of traditional ships brings more and more serious pollution problems to the marine environment. For this reason, this paper aims at developing a novel optimal energy scheduling for hybrid ship power system based on bi-level optimization model to reduce fossil fuel consumption and protect the environment. Firstly, a hybrid ship power system model including the diesel generator system, energy storage system, propulsion system, service load system, and photovoltaic generation system is established. Taking the nonlinear and non-convex constraints in solving power generation scheduling and speed scheduling problems into account, an improved genetic algorithm-based bi-level energy optimization strategy is developed. Considering the mileage constraints in coupling constraints, an upper level model for ship energy scheduling is established with the objective of reducing fuel consumption; a lower level optimization model with the goal of minimizing mileage deviation is established through constraint decomposition and fed back to the upper level optimization model. Considering the normal and fault navigation conditions, simulation results verify that the proposed method can significantly minimize operating costs and greenhouse gas emissions by 5.33% and 2.46%, respectively.
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来源期刊
MRS Energy & Sustainability
MRS Energy & Sustainability ENERGY & FUELS-
CiteScore
6.40
自引率
2.30%
发文量
36
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