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福州大学电气工程与自动化学院,福建省福州市 350108
谢龙韬(2000—),男,硕士研究生,主要研究方向:电力-交通融合系统。E-mail:220120068@fzu.edu.cn
谢仕炜(1993—),男,通信作者,博士,副研究员,主要研究方向:电力-交通融合系统。E-mail:shiwei_xie@126.com
陈铠悦(2003—),女,硕士研究生,主要研究方向:电力-交通融合系统。E-mail:ChenKaiyue_0522@foxmail.com
收稿:2023-06-28,
修回:2023-08-03,
网络出版:2024-01-04,
纸质出版:2024-04-10
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谢龙韬,谢仕炜,陈铠悦等.考虑用户出行成本预算的电力-交通耦合网络充电站定价策略[J].电力系统自动化,2024,48(7):201-209.
XIE Longtao,XIE Shiwei,CHEN Kaiyue,et al.Pricing Strategy of Charging Station in Power-Transportation Coupling Network Considering User Travel Cost Budget[J].Automation of Electric Power Systems,2024,48(7):201-209.
谢龙韬,谢仕炜,陈铠悦等.考虑用户出行成本预算的电力-交通耦合网络充电站定价策略[J].电力系统自动化,2024,48(7):201-209. DOI: 10.7500/AEPS20230628010.
XIE Longtao,XIE Shiwei,CHEN Kaiyue,et al.Pricing Strategy of Charging Station in Power-Transportation Coupling Network Considering User Travel Cost Budget[J].Automation of Electric Power Systems,2024,48(7):201-209. DOI: 10.7500/AEPS20230628010.
随着电动汽车的规模化发展,研究如何有效考虑用户的出行行为机理并制定合理的充电站充电价格,对电力-交通网络的协同优化调度具有重大意义。针对此问题,提出了考虑用户出行成本预算的电力-交通耦合网络充电站定价策略。首先,建立考虑出行成本预算的交通用户均衡模型,将均衡状态通过变分不等式进行等效描述,从而对电动汽车出行需求和充电行为进行刻画。其次,构建考虑功率削减的配电网二阶锥优化模型,将充电站定价问题转化为含有变分不等式约束的优化问题,并根据问题设计交替迭代算法和外梯度算法进行求解。最后,通过算例对所提模型和方法的有效性进行验证,结果表明了考虑出行成本预算对耦合网络充电定价的必要性。
With the large-scale development of electric vehicles
it is of great significance to study how to effectively consider the traveling behavior mechanism of users and formulate rational charging prices for charging stations for the collaborative optimization and scheduling of power-transportation coupling networks. To solve this problem
this paper proposes a pricing strategy for charging stations in the power-transportation coupling network considering the user travel cost budget. Firstly
a transportation user equilibrium model considering the travel cost budget is established
and the equilibrium state is equivalently described through variational inequalities
so as to characterize the traveling demands and charging behaviors of electric vehicles. Secondly
a second-order cone optimization model for distribution networks considering power reduction is constructed. The charging station pricing problem has been transformed into an optimization problem with variational inequality constraints
and an alternating iteration algorithm combined with an extra-gradient algorithm is designed to solve the problem. Finally
the effectiveness of the proposed model and methods is verified through a case
and the results show the necessity of considering the travel cost budget for charging pricing in coupling networks.
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