Implementation of Firefly Algorithm in Optimal Sizing of PEMFC-Battery Hybrid Locomotive

S. Ajayan, A. Immanuel Selvakumar

Abstract


The intention of this work is to find out the sizes or ratings of fuel cell pack and battery which can meet the requirements of a medium-range passenger train with minimum cost. In this paper, two optimization techniques are used for component sizing of a passenger train with PEM fuel cell and Battery. Proposed work deals with Indian Railways (Palakkad-Nilambur passenger train) considered. An objective function is formulated to reduce the cost of power sources, subject to various constraints such as battery SOC limits and Proton exchange membrane fuel cell (PEMFC) rating. Modeling of a locomotive, PEMFC, the battery is done and evaluated/simulated for two driving cycles of the passenger train. Two energy management approaches are considered for the equilibrium of power from the two energy sources. Particle swarm optimization (PSO) and firefly algorithm (FA) are used to find the objective function solution and the results obtained in this way are discussed in detail.


Keywords


Energy management system; Firefly Algorithm; Component sizing; Particle Swarm Optimization; Hydrogen Fuel Cells; Electrical Vehicles

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v10i2.10539.g7930

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