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作 者:刘傲阳 刘健辰[1] LIU Aoyang;LIU Jianchen(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao,Liaoning 125105)
机构地区:[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105
出 处:《电气技术》2024年第5期41-50,共10页Electrical Engineering
摘 要:作为降低化石燃料消耗、缓解环境危机的有效途径,采用电动汽车(EV)替代燃油汽车(GV)越来越受到人们的重视,这促进了EV的发展和普及,使城市交通网(UTN)和配电网(PDN)的运营紧密耦合。本文从充电网运营商(CNO)自身利益最大化的角度出发,解决电动汽车充电站(EVCS)最优充电定价问题。计及UTN和PDN的相互影响,并保护各个部门的隐私信息。综合考虑GV和EV的碳排放,通过充电价格调控EV充电行为,使充电负荷在不同PDN之间转移,促进电气化交通网的最优经济-低碳运行。数值算例验证了所提出模型和方法的有效性,以及CNO优化定价对电气化交通网的影响。As an effective way to reduce fossil fuel consumption and alleviate environmental crisis,the electric vehicles(EV)alternating gasoline vehicles(GV)has been paid more and more attention,which promotes the development and popularization of EVs.At the same time,the operation of urban transportation network(UTN)and power distribution network(PDN)are closely coupled.This paper aims to solve the problem of optimal charging pricing for electric vehicle charging stations(EVCS)from the point of view of maximizing the self-interest of charging network operators(CNO).The interaction between UTN and PDN is considered,and the privacy information among different departments is protected.Taking into account the carbon emissions of GVs and EVs comprehensively,the charging behavior of EVs is regulated by charging prices,so that the charging load can be transferred between different PDN to promote the optimal economic&low-carbon operation of electrical transportation network.Numerical examples verify the validity of the proposed model and method,and the effect of CNO optimal pricing on electrical transportation network.
关 键 词:电动汽车 电气化交通系统 充电网运营商 最优充电定价 碳排放
分 类 号:TM910.6[电气工程—电力电子与电力传动] U491.8[交通运输工程—交通运输规划与管理]
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