Expansion Planning of Urban Electrified Transportation Networks: A Mixed-Integer Convex Programming Approach
Expansion Planning of Urban Electrified Transportation Networks: A Mixed-Integer Convex Programming Approach
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DOI：
10.1109/tte.2017.2651071
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发表时间：
2017-01
影响因子：
7
通讯作者：
Wei Wei-Wei;Lei Wu;Jianhui Wang;S. Mei
中科院分区：
文献类型：
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作者：
Wei Wei-Wei;Lei Wu;Jianhui Wang;S. Mei
电动汽车（EV）被广泛认为是缓解现代大都市化石燃料短缺和环境压力的一种有效解决方案。为了促进电动汽车的大规模集成，交通电气化正在成为一种新兴趋势。本文提出了城市电气化交通网络（ETN）扩展规划的综合模型，同时确定了TN和配电网络（PDN）的最佳投资策略，包括新车道、充电设施、配电线路和本地发电机的站点和规模。 TN 中流量的稳态分布由 Nesterov 用户均衡 (NUE) 来表征。 PDN 的工作条件由线性支路潮流方程描述。为了考虑电动汽车充电行为所产生的 TN 和 PDN 之间的相互依赖性，假设道路充电设施的电力需求与其承载的交通流量成正比。扩张规划模型被制定为具有 NUE 约束的混合整数非线性程序。为了检索全局最优解，通过对偶理论和整数代数技术将其进一步转化为等效的混合整数凸规划；不涉及近似误差。测试 ETN 的案例研究证实了所提出的模型和方法。
Electric vehicles (EVs) have been widely acknowledged as one effective solution to alleviate the fossil fuel shortage and environmental pressure in modern metropolises. To foster the large-scale integration of EVs, transportation electrification is becoming an emerging trend. This paper proposes a comprehensive model for the expansion planning of urban electrified transportation networks (ETNs), which determines the best investment strategies for the TN and the power distribution network (PDN) simultaneously, including the sites and sizes of new lanes, charging facilities, distribution lines, and local generators. The steady-state distribution of traffic flow in the TN is characterized by the Nesterov user equilibrium (NUE). The operating condition of the PDN is described by linearized branch power flow equations. To consider the interdependency between the TN and PDN created by the charging behavior of EVs, the power demand of on-road charging facility is assumed to be proportional to the traffic flow it carries. The expansion planning model is formulated as a mixed-integer nonlinear program with NUE constraints. In order to retrieve a global optimal solution, it is further transformed into an equivalent mixed-integer convex program through duality theory and techniques of integer algebra; no approximation error is involved. Case studies on a test ETN corroborate the proposed model and method.