An optimal configuration for a battery and PEM fuel cell-based hybrid energy system using developed Krill herd optimization algorithm for locomotive application

Guo, Yingying; Dai, Xiangdong; Jermsittiparsert, Kittisak; Razmjooy, Navid

doi:10.1016/j.egyr.2020.04.012

Cited by 116 publications

(38 citation statements)

References 43 publications

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“…A methodology is presented in [54] for optimally sizing a hybrid energy system (HES) including LIB and PEMFC and minimising the total cost of HES with the constraints of the battery capacity and the FC limit, based on a modified model of the Krill Herd (KH) algorithm. An optimisation method for component sizing of a PEMFC-battery HES for passenger trains was presented in [83], in which the objective function is the minimisation of the cost of HES, subject to the constraints of the battery S c limit, PEMFC capacity, and instantaneous power balance.…”

Section: Methods Of Optimisationmentioning

confidence: 99%

A review of hydrogen technologies and engineering solutions for railway vehicle design and operations

et al. 2021

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Interest in hydrogen-powered rail vehicles has gradually increased worldwide over recent decades due to the global pressure on reduction in greenhouse gas emissions, technology availability, and multiple options of power supply. In the past, research and development have been primarily focusing on light rail and regional trains, but the interest in hydrogen-powered freight and heavy haul trains is also growing. The review shows that some technical feasibility has been demonstrated from the research and experiments on proof-of-concept designs. Several rail vehicles powered by hydrogen either are currently operating or are the subject of experimental programmes. The paper identifies that fuel cell technology is well developed and has obvious application in providing electrical traction power, while hydrogen combustion in traditional IC engines and gas turbines is not yet well developed. The need for on-board energy storage is discussed along with the benefits of energy management and control systems.

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Section: Methods Of Optimisationmentioning

confidence: 99%

A review of hydrogen technologies and engineering solutions for railway vehicle design and operations

et al. 2021

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“…Metaheuristic algorithms are the best candidates of approximate algorithms [ 16 ]. Metaheuristic algorithms define a kind of random algorithm that is employed to provide the optimal solution [ 17 , 18 ]. Numerous metaheuristic algorithms have been presented in the last decade, e.g., World Cup Optimization (WCO) algorithm [ 19 ], Arithmetic Optimization Algorithm (AOA) [ 20 ], Ant Lion Optimizer (ALO) algorithm [ 21 ], and equilibrium optimizer [ 22 ].…”

Section: Marine Predator Optimization Algorithmmentioning

confidence: 99%

COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm

Jia

Zhao

Arshaghi

2021

BioMed Research International

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In recent years, almost every country in the world has struggled against the spread of Coronavirus Disease 2019. If governments and public health systems do not take action against the spread of the disease, it will have a severe impact on human life. A noteworthy technique to stop this pandemic is diagnosing COVID-19 infected patients and isolating them instantly. The present study proposes a method for the diagnosis of COVID-19 from CT images. The method is a hybrid method based on convolutional neural network which is optimized by a newly introduced metaheuristic, called marine predator optimization algorithm. This optimization method is performed to improve the system accuracy. The method is then implemented on the chest CT scans with the COVID-19-related findings (MosMedData) dataset, and the results are compared with three other methods from the literature to indicate the method’s performance. The final results indicate that the proposed method with 98.11% accuracy, 98.13% precision, 98.66% sensitivity, and 97.26% F 1 score has the highest performance in all indicators than the compared methods which shows its higher accuracy and reliability.

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“…where σ and η bat are the self-discharge rate and efficiency, P b (t) is the difference between total generation power P gen and the demand power P l considering the efficiency factor [50], given by:…”

Section: Battery Storage Modelmentioning

confidence: 99%

Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

et al. 2020

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The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

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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

Cited by 116 publications

References 43 publications

A review of hydrogen technologies and engineering solutions for railway vehicle design and operations

A review of hydrogen technologies and engineering solutions for railway vehicle design and operations

COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm

Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

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