刘昱岗

教授

博士生导师

学历:博士研究生毕业

学位:工学博士学位

办公地点:四川省成都市郫都区犀安路 999 号

毕业院校:西南交通大学

所在单位:交通运输与物流学院

诚以待人,毅以处事

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论文成果

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Optimal of Siting and Pricing for Multi-Type Charging Facility Considering Electric Vehicle and Grid Bidirectional Power Transfer

所属单位:交通运输与物流学院
发表刊物:IEEE Transactions on Intelligent Transportation Systems
摘要:With the popularity of electric vehicles (EVs) and the gradual maturity of the technology of Bidirectional power transfer between EVs and the power grid, EVs as a mobile energy storage device to achieve peak shaving and valley filling of the power grid has become the focus of the next research. In this article, we are committed to exploring the use of EVs to achieve spatial and temporal energy supply redistribution in V2G and G2V modes. Hence, we propose a multi-type bidirectional power transfer network constructed and controlled by the government. Government agencies minimize the total cost of the system by determining reasonable facility siting and electricity pricing, which can be modeled as a bi-level optimization problem. In the Lower-level, a transportation and power coupling network is constructed considering the bidirectional interaction process between EV and grid. We propose a new user equilibrium, explain the equilibrium state under the bidirectional interaction process, and construct the optimal power flow model of the distribution network under the equilibrium state. We use variational inequality to solve the minimum coupled network travel cost and obtain the optimal locational marginal price of the distribution network by solving the Lagrange duality variable of the active power of the coupled network. In the Upper-level, based on the coupling network, we propose the government’s construction of multi-type charging facilities siting planning. The optimization objective is the total cost of the transportation system, and the construction and operation cost of the charging facilities. For numerical analysis, we consider a variety of interactive scenarios of EVs and power grids with battery capacity and power generation and use three types of comparative scenarios to verify the effectiveness of the model and algorithm proposed in this study. The numerical analysis results show that the coordinated operation of the transportation and power coupling network will effectively reduce the grid load and the total system cost. Notably, to provide more useful suggestions and inspiration for operation managers, we have made sensitivity analysis on the change of bidirectional transfer power and service price.
合写作者:Shuai Zheng,Yugang Liu,Kui Fu,Hanlin Xiao,Xinyu Lin
第一作者:Shuai Zheng
通讯作者:Yugang Liu
一级学科:交通运输工程
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