Operation Mechanism and Co-optimization for Electrified Transportation-Distribution Networks with Dynamic Wireless Charging

被引：0

作者：

Liu J. ^{[1
]}

Zhang H. ^{[1
]}

Liu A. ^{[1
]}

Cao S. ^{[1
]}

机构：

[1] Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Distribution network; Dynamic wireless charging; Electric vehicle; Transportation network;

D O I：

10.7500/AEPS20211122008

中图分类号：

学科分类号：

摘要：

With the improvement of the electric vehicle penetration, the spatio-temporal coupling between the electrified transportation network and the active distribution network is becoming stronger. With the technology of dynamic wireless charging, when the jam or congestion occurs in the transportation network or the distribution network, the interaction between the two networks may lead to cascading jam-congestion, which has an adverse impact on the security and economy of the system. Combining the dynamic traffic assignment model of the transportation network based on the differential variational inequality with the multi-period AC optimal power flow model of the the distribution network based on the mixed-integer second-order cone programming, the dynamic spatio-temporal coupling model of transportation-distribution networks is established to simulate the spatio-temporal distribution of electric vehicle charging load and congestion cost. Through the joint operation simulation of the transportation-distribution networks, the propagation mechanism of jam-congestion in the transportation-distribution networks is analyzed in depth. Then, the active-reactive power co-optimization scheme for the active distribution network is proposed, and the impact of the rational allocation of active/reactive power resources on the optimization effect is studied. © 2022 Automation of Electric Power Systems Press.

引用

页码：107 / 118

页数：11

共 39 条

[11]

YANG Lijun, ZHAO Yu, ZHAO You, Et al., Balanced fault recovery of active distribution network considering emergency power supply vehicle scheduling in traffic network, Automation of Electric Power Systems, 45, 21, pp. 170-180, (2021)

[12]

ZHANG Wenxin, LI Ran, ZANG Xiangdi, Et al., Real-time scheduling strategy optimization for electric vehicle battery swapping station based on reinforcement learning, Electric Power Automation Equipment, pp. 1-8

[13]

YAO Enjian, HE Yuanyuan, JIN Fanglei, Et al., A self-organized equilibrium-oriented relocation optimization method for electric vehicle sharing, Journal of Transportation Systems Engineering and Information Technology, 20, 5, pp. 135-141, (2020)

[14]

HE F, YIN Y F, WANG J H, Et al., Sustainability SI: optimal prices of electricity at public charging stations for plug-in electric vehicles, Networks and Spatial Economics, 16, 1, pp. 131-154, (2016)

[15]

DONG Yunchang, LIU Shimin, QU Zhaoyang, Et al., Charging and discharging pricing optimization of electric vehicles considering correlation of user response to electricity price and win-win results of multi-stakeholder, Electric Power Automation Equipment, pp. 1-9

[16]

WEI W, MEI S W, WU L, Et al., Optimal traffic-power flow in urban electrified transportation networks, IEEE Transactions on Smart Grid, 8, 1, pp. 84-95, (2017)

[17]

WEI W, WU L, WANG J H, Et al., Network equilibrium of coupled transportation and power distribution systems, IEEE Transactions on Smart Grid, 9, 6, pp. 6764-6779, (2018)

[18]

LI P C, DUAN X Y, YANG J, Et al., Coordinated EV charging and reactive power optimization for radial distribution network using mixed integer second-order cone programming, 2017 IEEE Transportation Electrification Conference and Expo, (2017)

[19]

NAKAYAMA S I, TAKAYAMA J I, NAKAI J Y, Et al., Semi-dynamic traffic assignment model with mode and route choices under stochastic travel times, Journal of Advanced Transportation, 46, 3, pp. 269-281, (2012)

[20]

LV S, WEI Z N, SUN G Q, Et al., Optimal power and semi-dynamic traffic flow in urban electrified transportation networks, IEEE Transactions on Smart Grid, 11, 3, pp. 1854-1865, (2020)

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