Optimal estimation of MC parameter in SAE J2601 hydrogen refuelling protocol based on modified formula and artificial neural networks

Luo, Hao; Xiao, Jinsheng; Bénard, Pierre; Zong, Yi; Chahine, Richard; Tong, Liang; Yuan, Chengqing; Yang, Tianqi; Yuan, Yupeng

doi:10.1016/j.fuel.2024.131315

Fuel

2024

DOI: 10.1016/j.fuel.2024.131315

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Optimal estimation of MC parameter in SAE J2601 hydrogen refuelling protocol based on modified formula and artificial neural networks

Hao Luo,

Jinsheng Xiao,

Pierre Bénard

et al.

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A Novel AI-driven Hybrid Method for Flicker Estimation in Power Systems

Enayati,

Asef,

Yousefi

et al. 2024

2024 International Conference on Smart Energy Systems and Technologies (SEST)

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This paper introduces a novel hybrid method using a combination of an H-infinity filter and artificial neural network (ANN) to estimate flicker components within power distribution system voltages. The H-infinity filter first extracts the estimated envelope of the applied voltage waveforms, incorporating a new voltage fluctuation model that realistically accounts for both harmonic and flicker components. Furthermore, an ADALINE (adaptive linear neuron) extracts the specific flicker components within the envelope. The hybrid process decouples prediction states, enhancing convergence behavior. Additionally, it showcases robust flicker component tracking even in the presence of power harmonics and noise, offering advantages over traditional signal processing methods. The algorithm's performance in flicker estimation is validated through statistical analysis using Monte Carlo (MC) simulations and real world data.

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A Novel AI-driven Hybrid Method for Flicker Estimation in Power Systems

Enayati,

Asef,

Yousefi

et al. 2024

2024 International Conference on Smart Energy Systems and Technologies (SEST)

View full text Add to dashboard Cite

show abstract

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Optimal estimation of MC parameter in SAE J2601 hydrogen refuelling protocol based on modified formula and artificial neural networks

Cited by 1 publication

References 28 publications

A Novel AI-driven Hybrid Method for Flicker Estimation in Power Systems

A Novel AI-driven Hybrid Method for Flicker Estimation in Power Systems

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