IGDT-Based Epsilon-Constraint Multi-Objective Optimal Planning of Hybrid Ship Power System with Renewable Energy Resources and Energy Storage System

Articles in Press

Document Type : Special issue: Advanced Technologies for Resilient and Efficient Microgrid Management: Innovations in Energy Optimization, Security, and Integration

Authors

1 Faculty of Electrical and Computer Engineering, Imam Khomeini Naval University, Nowshahr, Iran.

2 Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran.

Abstract

The integration of solar generation and Energy Storage Systems (ESSs) into ship power systems has gained increasing attention. This trend is primarily driven by stringent Marine Pollution Protocol regulations and the increasing integration of Renewable Energy Sources (RESs). Integrating RESs and BESSs into ship power systems helps reduce pollutant emissions from fossil fuel generators. However, inadequate sizing of hybrid ship power systems may result in high investment costs and elevated greenhouse gas emissions. This article introduces a Mixed-Integer Linear Programming model for identifying the optimal configuration of RESs and BESSs. The model incorporates two objective functions, aiming to minimize both costs and pollutant emissions. In the proposed model, the possibility of using four different technologies -lead-acid, nickel-cadmium, lithium-ion, and sodium-sulfur- has been considered for BESSs. For optimal energy management of a hybrid ship power system under photovoltaic radiation uncertainty along the route, Information Gap Decision Theory has been utilized. Considering the two contradictory objective functions in the proposed model, the ε-constraint method has been used to determine Pareto optimal responses, and the fuzzy inference method has been used to determine the final optimal response. The proposed model has been evaluated through four distinct case studies. The analysis of the results shows that using the optimal sizing of RESs and BESSs can lead to a simultaneous reduction in costs and emissions.

Keywords

Main Subjects

References

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Journal of Operation and Automation in Power Engineering

Articles in Press, Corrected Proof
Available Online from 24 October 2025

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History

  • Receive Date: 04 February 2025
  • Revise Date: 06 April 2025
  • Accept Date: 04 June 2025
  • First Publish Date: 24 October 2025

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