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

Jianchen LIU; Haoyuan ZHANG; Aoyang LIU; Shiqi CAO

doi:10.7500/AEPS20211122008

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

Special Topic on Key Technologies of Urban Power Grid and Transportation Integration for New Power Systems | 更新时间：2025-06-16

- Operation Mechanism and Co-optimization for Electrified Transportation-Distribution Networks with Dynamic Wireless Charging
- Automation of Electric Power Systems Vol. 46, Issue 12, Pages: 107-118(2022)
- 作者机构：
  
  辽宁工程技术大学电气与控制工程学院，辽宁省葫芦岛市 125105
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52177047)
- DOI：10.7500/AEPS20211122008
  CLC：
- Received：22 November 2021，
  
  Revised：2022-03-10，
  
  Published Online：26 April 2022，
  
  Published：25 June 2022
- 稿件说明：
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刘健辰,张淏源,刘傲阳等.动态无线充电下电气化交通网-配电网运行机理与协同优化[J].电力系统自动化,2022,46(12):107-118.

LIU Jianchen,ZHANG Haoyuan,LIU Aoyang,et al.Operation Mechanism and Co-optimization for Electrified Transportation-Distribution Networks with Dynamic Wireless Charging[J].Automation of Electric Power Systems,2022,46(12):107-118.
刘健辰,张淏源,刘傲阳等.动态无线充电下电气化交通网-配电网运行机理与协同优化[J].电力系统自动化,2022,46(12):107-118. DOI： 10.7500/AEPS20211122008.

LIU Jianchen,ZHANG Haoyuan,LIU Aoyang,et al.Operation Mechanism and Co-optimization for Electrified Transportation-Distribution Networks with Dynamic Wireless Charging[J].Automation of Electric Power Systems,2022,46(12):107-118. DOI： 10.7500/AEPS20211122008.

摘要

随着电动汽车渗透率的提高，电气化交通网和主动配电网之间的时空耦合越来越强。在动态无线充电技术下，当交通网和配电网中的一方发生拥堵或拥塞时，双网之间的交互影响可能引发连锁性拥堵-拥塞，对系统的安全性和经济性造成不利影响。结合基于微分变分不等式的交通网动态配流模型和基于混合整数二阶锥规划的配电网多时段交流最优潮流模型，建立交通网-配电网动态时空耦合模型，模拟电动汽车充电负荷和拥塞成本的时空分布。通过交通网-配电网联合运行仿真，深入分析拥堵-拥塞在交通网-配电网之间的传播机理，进而提出主动配电网有功-无功协同优化方案，并研究了有功/无功资源合理配置对优化效果的影响。

Abstract

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.

关键词

Keywords

references

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