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Coordinated Demand Response of Rail Transit Load and Energy Storage System Considering driving comfort

CSEE Journal of Power and Energy Systems 2020年第4期6卷 749-759页

作者： Hongming Yang Wangda Shen Qian Yu Junpeng Liu Yizhe Jiang Emmanuel Ackom Zhao Yang Dong Hunan Provincial Engineering Research Center for Electric Transportation and Smart Distribution Network International Joint Laboratory of Ministry of Education for Operation and Planning of Energy Internet based on Distributed Photovoltaic-Storage EnergySchool of Electrical and Information EngineeringChangsha University of Science&TechnologyChangsha 410114China School of Economics and Management Changsha University of Science&TechnologyChangsha 410114China UNEP DTU Partnership Technical University of Denmark2100 CopenhagenDenmark School of Electrical and Engineering and Telecommunications University of New South WalesSydneyNSW2052Australia

Electric trains typically travel across the railway networks in an inter-provincial,inter-city and intra-city *** electric train generally serves as a load/source in tractive/brake mode,through which power networks and railway networks are closely coupled and mutually *** on the operational mode of rail trains and the characteristics of their load power,this paper proposes a coordinated optimal decisionmaking method of demand response for controllable load of rail trains and energy storage ***,a coordinated approach of dynamically adjusting the load of the controllable rail train in considering the driving comfort and energy storage battery is ***,under the time conditions that satisfy the train’s operational diagram,the functional relationship between the train speed and the load power is *** on this,in considering the constraints of the train’s arrival time,driving speed,motor power,and driving comfort,the capacity of energy storage batteries and other constraints,an optimization model for demand response in managing the traction power supply system under a two-part price and time-of-use(TOU)price is *** objective is to minimize the energy consumption costs of rail transit trains,and optimize the speed trajectory of rail trains,the load power of traction system,and the output of energy storage batteries.

关键词： Controllable traction load demand response driving comfort energy storage battery rail train speed trajectory

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Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle

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Journal of Intelligent and Connected Vehicles 2022年第1期5卷 36-45页

作者： Lishengsa Yue Mohamed Abdel-Aty Zijin Wang Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFloridaUSA

Purpose–This study aims to evaluate the influence of connected and autonomous vehicle(CAV)merging algorithms on the driver behavior of human-driven vehicles on the ***/methodology/approach–Previous studies designed their merging algorithms mostly based on either the simulation or the restricted field testing,which lacks consideration of realistic driving behaviors in the merging *** study developed a multi-driver simulator system to embed realistic driving behavior in the validation of merging ***–Four types of CAV merging algorithms were evaluated regarding their influences on driving safety and driving comfort of the mainline vehicle *** results revealed significant variation of the algorithm ***,the results show that the reference-trajectory-based merging algorithm may outperform the social-psychology-based merging algorithm which only considers the ramp ***/value–To the best of the authors’knowledge,this is the first time to evaluate a CAV control algorithm considering realistic driver interactions rather than by the *** achieve the research purpose,a novel multi-driver driving simulator was developed,which enables multi-drivers to simultaneously interact with each other during a virtual driving *** results are expected to have practical implications for further improvement of the CAV merging algorithm.

关键词： driving simulator Connected and autonomous vehicle Merging algorithm Merging behavior Safety and comfort driving safety driving comfort

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