Fuel Cell Power Management Using Genetic Expression Programming in All-Electric Ships

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Tashakori-Abkenar:2017:ieeeTenergyC,

• author = "Alireza {Tashakori Abkenar} and Ali Nazari and Shantha D. Gamini Jayasinghe and Ajay Kapoor and Michael Negnevitsky",
• journal = "IEEE Transactions on Energy Conversion",
• title = "Fuel Cell Power Management Using Genetic Expression Programming in All-Electric Ships",
• year = "2017",
• volume = "32",
• number = "2",
• pages = "779--787",
• abstract = "All-electric ships (AES) are considered as an effective solution for reducing greenhouse gas emissions as they provide a better platform to use alternative clean energy sources such as fuel cells (FC) in place of fossil fuel. Even though FCs are promising alternative, their response is not fast enough to meet load transients that can occur in ships at sea. Therefore, high-density rechargeable battery storage systems are required to achieve stable operation under such transients. Generally, in such hybrid systems, dc/dc converters are used to interface the FC and battery into the dc link. This paper presents an intelligent FC power management strategy to improve FC performance at various operating points without employing dc/dc interfacing converters. A hybrid AES drive line model using genetic programming is used using Simulink and GeneXProTools4 to formulate operating FC voltage based on the load current, FC air, and fuel flow rates. Genetic algorithm is used to adjust air and fuel flow rates to keep the FC within the safe operating range at different power demands. The proposed method maintains FC performance as well as reduces fuel consumption, and, thereby, ensures the optimal power sharing between the FC and the lithium-ion battery in AES application.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/TEC.2017.2693275",
• ISSN = "0885-8969",
• month = jun,
• notes = "Also known as \cite{7898826}",

}

Genetic Programming entries for Alireza Tashakori Abkenar Ali Nazari Shantha D Gamini Jayasinghe Ajay Kapoor Michael Negnevitsky

Citations