با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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An optimal configuration for a battery and PEM fuel cell-based hybrid energy system using developed Krill herd optimization algorithm for locomotive application
پیکربندی بهینه برای یک سیستم انرژی هیبریدی مبتنی بر سلول باتری و سوخت PEM با استفاده از الگوریتم بهینه سازی گله کریل توسعه یافته برای کاربرد لوکوموتیو-2020 A new methodology has been proposed for optimal size selection of a hybrid energy system (HES)
including lithium-ion battery and polymer electrolyte membrane (PEM) fuel cell to supply the driving
force of a locomotive. The main purpose is to minimize the total cost of HES with different constraints
including the capacity constraint of the battery and the fuel cell state-of-charge limit The optimization
problem has been solved based on a new improved model of the Krill Herd (KH) algorithm, converged
krill herd optimization algorithm (CKH). Simulation results are analyzed based on the average power
demand, speed demand of the locomotive, and the locomotive slope. The results of the presented CKH
algorithm have been compared with the standard KH and PSO algorithm and the results declared that
the total cost for HES based on CKH has the minimum value such that the value for the CKH for 0%,
1%, and 2% slope are 3.15 × 106, 3.56 × 106, and 3.93 × 106 toward KH with 3.47 × 106, 4.01 × 106,
and 4.56 × 106 and PSO with 3.74 × 106, 4.27 × 106, and 4.72 × 106 HES, respectively. Keywords: Hybrid energy system | Lithium-ion battery | Energy management optimization | Locomotive | Converged Krill herd optimization | algorithm | PEM fuel cell |
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