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动态路-电耦合网络下电动出租车快速充电引导及其定价策略
引用本文:傅质馨,朱韦翰,朱俊澎,袁越. 动态路-电耦合网络下电动出租车快速充电引导及其定价策略[J]. 电力自动化设备, 2022, 42(4): 9-17. DOI: 10.16081/j.epae.202201013
作者姓名:傅质馨  朱韦翰  朱俊澎  袁越
作者单位:河海大学能源与电气学院,江苏南京211100;河海大学可再生能源发电技术教育部工程研究中心,江苏 南京211100
基金项目:国家自然科学基金青年基金资助项目(51807051);江苏省自然科学基金青年基金资助项目(BK20180507)
摘    要:电动出租车作为快速充电及路-电耦合网络的主要参与者,其连续行驶-充电行为严重影响了路-电耦合网络的运行状态,为此提出了基于路-电耦合网络的电动出租车快速充电引导及其定价策略.首先,提出了电动出租车在路-电耦合网络下交通流-能量流-信息流的交互框架;然后,提出了交通网的信息动态更新策略,建立了单辆电动出租车模型用于模拟电...

关 键 词:路-电耦合网络  电动出租车  快速充电  动态导航  虚拟负荷  定价决策

Fast charging guidance and pricing strategy for electric taxis based on dynamic traffic-grid coupling network
FU Zhixin,ZHU Weihan,ZHU Junpeng,YUAN Yue. Fast charging guidance and pricing strategy for electric taxis based on dynamic traffic-grid coupling network[J]. Electric Power Automation Equipment, 2022, 42(4): 9-17. DOI: 10.16081/j.epae.202201013
Authors:FU Zhixin  ZHU Weihan  ZHU Junpeng  YUAN Yue
Affiliation:School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China; Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China
Abstract:As the main participants of fast charging and traffic-grid coupling network, the continuous driving-charging behavior of electric taxis seriously affects the operation state of traffic-grid coupling network. Therefore, the fast charging guidance and pricing strategy of electric taxis based on dynamic traffic-gird coupling network are proposed. Firstly, an interactive framework of traffic flow-energy flow-information flow for electric taxis in traffic-grid coupling network is proposed. Then, the dynamic updating strategy of traffic network information is proposed, and the model of a single electric taxi is built to simulate the continuous driving-charging state switching behavior of electric taxis. On this basis, the dynamic navigation of route planning and traffic network information updating in the same cycle and the station selection decision method considering the next passenger seeking point are proposed. Finally, the virtual load is predicted according to the station load and station selection load, and the pricing strategy of charging station based on virtual load and utilization ratio balance is proposed. The simulative results show that the proposed method can balance the load of charging station, alleviate traffic congestion and increase the operation income of electric taxis.
Keywords:traffic-grid coupling network   electric taxis   fast charging   dynamic navigation   virtual load   pricing decision
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