Optimal Sizing of Battery Energy Storage System in a Shipboard Power System with considering Energy Management Optimization

Xianqiang Bao,Xinghua Xu,Yiyong Xiong,Yan Zhang,Chengya Shang,Shi Cheng

doi:10.1155/2021/9032206

Xianqiang Bao, Xinghua Xu + Show 4 more

Open Access

https://doi.org/10.1155/2021/9032206

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Abstract

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.

Highlights

The proposed method is applied to a ferry ship equipped with low-voltage integrated power system (IPS). is ferry ship has two electric propulsion motors and four diesel generators
It goes back and forth on the fixed shipping line every day. e sampled ship power data in one day is extracted from the onboard IAS and averaged and presented in Figure 3, which is used to represent the typical data in energy storage system (ESS) sizing optimization
An optimal energy management strategy based on ESS sizing selection for a shipboard power system has been presented. is method has been developed in a flexible and general way to apply it to different types of shipboard power systems and different energy storage technologies

Summary

Literature Review

To solve the ESS capacity optimization problem, some coevolutionary algorithms [19], deep learning algorithms [20], and meta-heuristic algorithms in land microgrids or large power system are used These algorithms have superior modeling construction and searching the optimal objectives, the computation burden of these algorithms will be very large if the ESS operation strategy is considered in the ESS sizing optimization problems and a long time will be used to obtain the final result. Is work is focused on proposing a new modeling approach to find the best ESS size of a ship power system with considering the optimal energy management strategy.

G Generator

Results and Discussion

Conclusions