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Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review
- Source :
- Xie, P, Guerrero, J M, Tan, S, Bazmohammadi, N, Vasquez, J C, Mehrzadi, M & Al-Turki, Y 2022, ' Optimization-Based Power and Energy Management System in Shipboard Microgrid : A Review ', IEEE Systems Journal, vol. 16, no. 1, pp. 578-590 . https://doi.org/10.1109/JSYST.2020.3047673
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- The increasing demands for reducing greenhouse emissions and improving fuel efficiency of marine transportation have presented opportunities for electric ships. Due to the complexity of multiple power resources coordination, varied propulsion loads, changeable economical, and environmental requirements, power/energy management system (PMS/EMS) becomes essential in both designing and operational processes. The existing literature on PMS/EMS can be categorized into rule-based and optimization-based approaches. Compared to the rule-based PMS/EMS, which relies heavily on human expertise, as well as predefined strategies and priorities, the optimization-based approaches can offer more efficient solutions and are more widely used nowadays. This article provides a comprehensive review of the marine optimization-based power/energy management system and discusses the future trends of PMS/EMS in ship power systems.
- Subjects :
- Optimization
Power management
Computer Networks and Communications
Energy management
Computer science
review
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Fuels
Propulsion
shipboard power system
Automotive engineering
Electric power system
Marine vehicles
SDG 7 - Affordable and Clean Energy
Electrical and Electronic Engineering
Fuel cells
Generators
Computer Science Applications
Energy management system
Electricity generation
Control and Systems Engineering
Fuel efficiency
power management
Microgrid
Switches
Power generation
Information Systems
Subjects
Details
- ISSN :
- 23737816 and 19328184
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- IEEE Systems Journal
- Accession number :
- edsair.doi.dedup.....48db9245f8811d0991aa0c840d4f6b22
- Full Text :
- https://doi.org/10.1109/jsyst.2020.3047673