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基于车辆行为模拟的加氢站氢负荷概率建模方法

卢纯颢 周春丽 林溪桥 陈志君

中国电力2024,Vol.57Issue(8):46-54,66,10.
中国电力2024,Vol.57Issue(8):46-54,66,10.DOI:10.11930/j.issn.1004-9649.202308106

基于车辆行为模拟的加氢站氢负荷概率建模方法

Probabilistic Modeling Method of Hydrogen Load of Hydrogen Refueling Station Based on Vehicle Behavior Simulation

卢纯颢 1周春丽 1林溪桥 1陈志君1

作者信息

  • 1. 广西电网有限责任公司电网规划研究中心,广西南宁 530023
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摘要

Abstract

The hydrogen load of hydrogen refueling station is affected by the travel behavior of hydrogen fuel cell vehicles,and its spatio-temporal distribution is highly uncertain.In order to study the distribution characteristics of hydrogen load of hydrogen refueling station and accurately describe the travel law of vehicle users,a probabilistic modeling method of hydrogen load of hydrogen refueling station based on vehicle behavior simulation is proposed in this paper.Firstly,the probability distribution of behavioral features(such as travel time,travel time,destination,travel distance,etc.)during vehicle travel is fitted based on the American household travel survey data set.Secondly,based on Monte Carlo simulation method,samples are extracted several times to form a travel chain composed of vehicle travel behavior.Finally,based on the type of travel destination,the hydrogen load characteristics of different regional hydrogen stations in one day were simulated.Through rational use of actual travel data and Monte Carlo simulation method,this paper can accurately describe the vehicle behavior law,and infer the hydrogen load characteristics of different regional hydrogen refueling stations according to the type of travel destination.

关键词

加氢站/不确定性/车辆行为模拟/氢负荷概率建模方法/蒙特卡洛模拟

Key words

hydrogen refueling station/uncertainty/vehicle behavior simulation/hydrogen load probability modeling method/Monte Carlo simulation

引用本文复制引用

卢纯颢,周春丽,林溪桥,陈志君..基于车辆行为模拟的加氢站氢负荷概率建模方法[J].中国电力,2024,57(8):46-54,66,10.

基金项目

广西电网公司科技项目(GXKJXM20222123).This work is supported by the Guangxi Power Grid Company Science and Technology Project Funding(No.GXKJXM20222123). (GXKJXM20222123)

中国电力

OA北大核心CSTPCD

1004-9649

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