A Stochastic Resource-Sharing Network for Electric Vehicle Charging

被引:10
|
作者
Aveklouris, Angelos [1 ]
Vlasiou, Maria [1 ]
Zwart, Bert [2 ,3 ]
机构
[1] Eindhoven Univ Technol, Eindhoven, Netherlands
[2] Ctr Wiskunde Informat, Amsterdam, Netherlands
[3] Eindhoven Univ Technol, Dept Math & Comp Sci, Eindhoven, Netherlands
来源
关键词
AC power flow model; distribution network; electric vehicle charging; fluid approximation; linearized Distflow; queueing theory; stochastic processes; FLUID LIMITS; DEMAND; PERFORMANCE;
D O I
10.1109/TCNS.2019.2915651
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider a distribution grid used to charge electric vehicles (EVs) such that voltage drops stay bounded. We model this as a class of resource-sharing networks, known as bandwidth-sharing networks in the communication network literature. We focus on resource-sharing networks that are driven by a class of greedy control rules that can be implemented in a decentralized fashion. For a large number of such control rules, we can characterize the performance of the system by a fluid approximation. This leads to a set of dynamic equations that take into account the stochastic behavior of EVs. We show that the invariant point of these equations is unique and can be computed by solving a specific AC optimal-power-flow problem (ACOPF), which admits an exact convex relaxation. We illustrate our findings with a case study using the SCE 47-bus network and several special cases that allow for explicit computations.
引用
收藏
页码:1050 / 1061
页数:12
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