Coordinated Dispatching of Electric Bus, Charging Station and Distribution Network Considering Bus Travelling Characteristics

XU Ran; XU Xiaoyuan; WANG Han; YAN Zheng

doi:10.7500/AEPS20211201007

您当前的位置：

首页 >

文章列表页 >

Coordinated Dispatching of Electric Bus, Charging Station and Distribution Network Considering Bus Travelling Characteristics

Basic Research | 更新时间：2025-06-16

- Coordinated Dispatching of Electric Bus, Charging Station and Distribution Network Considering Bus Travelling Characteristics
- Automation of Electric Power Systems Vol. 46, Issue 24, Pages: 36-44(2022)
- 作者机构：
  
  电力传输与功率变换控制教育部重点实验室（上海交通大学），上海市 200240
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52107116)
- DOI：10.7500/AEPS20211201007
  CLC：
- Received：01 December 2021，
  
  Revised：2022-03-18，
  
  Published Online：16 June 2022，
  
  Published：25 December 2022
- 稿件说明：
移动端阅览
徐冉,徐潇源,王晗等.考虑公交车移动特性的电动公交车-充电站-配电网联合调度[J].电力系统自动化,2022,46(24):36-44.

XU Ran,XU Xiaoyuan,WANG Han,et al.Coordinated Dispatching of Electric Bus, Charging Station and Distribution Network Considering Bus Travelling Characteristics[J].Automation of Electric Power Systems,2022,46(24):36-44.
徐冉,徐潇源,王晗等.考虑公交车移动特性的电动公交车-充电站-配电网联合调度[J].电力系统自动化,2022,46(24):36-44. DOI： 10.7500/AEPS20211201007.

XU Ran,XU Xiaoyuan,WANG Han,et al.Coordinated Dispatching of Electric Bus, Charging Station and Distribution Network Considering Bus Travelling Characteristics[J].Automation of Electric Power Systems,2022,46(24):36-44. DOI： 10.7500/AEPS20211201007.

摘要

城市电动公交车具有电池容量大、可移动等特性，但现有研究将其作为固定位置储能参与电网运行，未能充分挖掘其在不同站点间移动充放电的特性。文中研究城市电动公交车在非运行时段作为移动储能优化配电网运行效益的方法。首先，建立电动公交车在不同站点间移动的时-空网络模型；然后，以配电网运行效益最大为目标，考虑公交车电量约束以及配电网运行约束，构建电动公交车-充电站-配电网联合优化调度的混合整数二阶锥规划模型，采用惩罚交替方向算法提高优化问题的求解效率。算例结果表明，所构建的电动公交车充放电方式在满足自身充电需求的条件下，能够降低配电网运行成本，缓解弃新能源现象。

Abstract

Urban electric buses have the characteristics of large battery capacity and mobility. However

existing studies take them as the fixed-position energy storage to participate in power grid operation and fail to fully explore their mobile charging and discharging characteristics between different stations. This paper studies the method for regarding the urban electric bus as mobile energy storage to optimize the operation benefit of the distribution network during the non-operation period. Firstly

the spatio-temporal network model of the electric bus moving between different stations is established. Then

to maximize the operation benefit of the distribution network

this paper establishes a mixed-integer second-order cone programming model for the coordinated optimal dispatching of the electric bus

charging station and distribution network

considering the constraints of bus electricity quantity and distribution network operation. The penalty alternating direction method (PADM) is adopted to improve the solving efficiency of the optimization problem. Example results show that the proposed charging and discharging mode of the electric bus can reduce the operation cost of the distribution network and alleviate the phenomenon of abandoning renewable energy while meeting its own charging demand.

关键词

Keywords

references

YUNUS K ， DE LA PARRA H Z ， REZA M . Distribution grid impact of plug-in electric vehicles charging at fast charging stations using stochastic charging model ［C］// Proceedings of the 2011 14th European Conference on Power Electronics and Applications ， August 30-September 1 ， 2011 ， Birmingham， UK ： 1 - 11 .

王晗，严正，徐潇源，等 . 基于稀疏多项式混沌展开的孤岛微电网全局灵敏度分析［J］. 电力系统自动化， 2019 ， 43 （ 10 ）： 44 - 52 .

WANG Han ， YAN Zheng ， XU Xiaoyuan ， et al . Global sensitivity analysis for islanded microgrid based on sparse polynomial chaos expansion ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 10 ）： 44 - 52 .

CLEMENT-NYNS K ， HAESEN E ， DRIESEN J . The impact of charging plug-in hybrid electric vehicles on a residential distribution grid ［J］. IEEE Transactions on Power Systems ， 2010 ， 25 （ 1 ）： 371 - 380 .

郝丽丽，王国栋，王辉，等 . 考虑电动汽车入网辅助服务的配电网日前调度策略［J］. 电力系统自动化， 2020 ， 44 （ 14 ）： 35 - 43 .

HAO Lili ， WANG Guodong ， WANG Hui ， et al . Day-ahead scheduling strategy of distribution network considering electric vehicle-to-grid auxiliary service ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 14 ）： 35 - 43 .

李航，李国杰，汪可友 . 基于深度强化学习的电动汽车实时调度策略［J］. 电力系统自动化， 2020 ， 44 （ 22 ）： 161 - 167 .

LI Hang ， LI Guojie ， WANG Keyou . Real-time dispatch strategy for electric vehicles based on deep reinforcement learning ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 22 ）： 161 - 167 .

丁明，史盛亮，潘浩，等 . 含电动汽车充电负荷的交直流混合微电网规划［J］. 电力系统自动化， 2018 ， 42 （ 1 ）： 32 - 38 .

DING Ming ， SHI Shengliang ， PAN Hao ， et al . Planning of AC/DC hybrid microgrid with integration of electric vehicles charging load ［J］. Automation of Electric Power Systems ， 2018 ， 42 （ 1 ）： 32 - 38 .

程亦直，张沛超 . 配电网中电动汽车的实时滚动交易式充电管理［J］. 中国电机工程学报， 2019 ， 39 （ 19 ）： 5703 - 5713 .

CHENG Yizhi ， ZHANG Peichao . Real-time rolling transactive charging management of electric vehicles in distribution network ［J］. Proceedings of the CSEE ， 2019 ， 39 （ 19 ）： 5703 - 5713 .

SZCZEŚNIAK J ， MASSIER T ， GALLET M ， et al . Optimal electric bus charging scheduling for local balancing of fluctuations in PV generation ［C］// 2019 IEEE Innovative Smart Grid Technologies-Asia ， May 21-24 ， 2019 ， Chengdu， China ： 2799 - 2804 .

ZHUANG P ， LIANG H . Stochastic energy management of electric bus charging stations with renewable energy integration and B2G capabilities ［J］. IEEE Transactions on Sustainable Energy ， 2021 ， 12 （ 2 ）： 1206 - 1216 .

WU X M ， FENG Q J ， BAI C C ， et al . A novel fast-charging stations locational planning model for electric bus transit system ［J］. Energy ， 2021 ， 224 ： 120106 .

程瑜，陶冀 . 快充模式下电动公交充电网络优化规划模型［J］. 电工技术学报， 2018 ， 33 （增刊2 ）： 586 - 595 .

CHENG Yu ， TAO Ji . Optimal planning model of electric bus charging network under fast charging mode ［J］. Transactions of China Electrotechnical Society ， 2018 ， 33 （ Supplement 2 ）： 586 - 595 .

CHENG Y ， WANG W ， DING Z H ， et al . Electric bus fast charging station resource planning considering load aggregation and renewable integration ［J］. IET Renewable Power Generation ， 2019 ， 13 （ 7 ）： 1132 - 1141 .

MOHAMED M ， FARAG H ， EL-TAWEEL N ， et al . Simulation of electric buses on a full transit network： operational feasibility and grid impact analysis ［J］. Electric Power Systems Research ， 2017 ， 142 ： 163 - 175 .

WU Z ， GUO F ， POLAK J ， et al . Evaluating grid-interactive electric bus operation and demand response with load management tariff ［J］. Applied Energy ， 2019 ， 255 ： 113798 .

AGRAWAL A ， KUMAR M ， PRAJAPATI D K ， et al . Smart public transit system using an energy storage system and its coordination with a distribution grid ［J］. IEEE Transactions on Intelligent Transportation Systems ， 2014 ， 15 （ 4 ）： 1622 - 1632 .

DING H J ， HU Z C ， SONG Y H . Value of the energy storage system in an electric bus fast charging station ［J］. Applied Energy ， 2015 ， 157 ： 630 - 639 .

UK Research and Innovation . Bus2Grid ［EB/OL］. ［ 2021-11-04 ］. https：//gtr.ukri.org/projects？ref=104230 https://gtr.ukri.org/projects?ref=104230 .

First Priority Greenfleet . Vehicle-to-grid ［EB/OL］. ［ 2021-11-04 ］. https：//www.1fpg.com/first-priority-greenfleet-vehicle-to-grid https://www.1fpg.com/first-priority-greenfleet-vehicle-to-grid .

RAAB A F ， LAUTH E ， STRUNZ K ， et al . Implementation schemes for electric bus fleets at depots with optimized energy procurements in virtual power plant operations ［J］. World Electric Vehicle Journal ， 2019 ， 10 （ 1 ）： 1 - 14 .

陈丽娟，秦萌，顾少平，等 . 计及电池损耗的电动公交车参与V2G的优化调度策略［J］. 电力系统自动化， 2020 ， 44 （ 11 ）： 52 - 60 .

CHEN Lijuan ， QIN Meng ， GU Shaoping ， et al . Optimal dispatching strategy of electric bus participating in vehicle-to-grid considering battery loss ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 11 ）： 52 - 60 .

LIU Y ， LIANG H . A ROOT approach for stochastic energy management in electric bus transit center with PV and ESS ［C］// 2019 IEEE Global Communications Conference ， December 9-13 ， 2019 ， Waikoloa， USA ： 1 - 6 .

BAGHERINEZHAD A ， PALOMINO A D ， LI B S ， et al . Spatio-temporal electric bus charging optimization with transit network constraints ［J］. IEEE Transactions on Industry Applications ， 2020 ， 56 （ 5 ）： 5741 - 5749 .

潘振宁，张孝顺，余涛，等 . 大规模电动汽车集群分层实时优化调度［J］. 电力系统自动化， 2017 ， 41 （ 16 ）： 96 - 104 .

PAN Zhenning ， ZHANG Xiaoshun ， YU Tao ， et al . Hierarchical real-time optimized dispatching for large-scale clusters of electric vehicles ［J］. Automation of Electric Power Systems ， 2017 ， 41 （ 16 ）： 96 - 104 .

陈中，刘艺，陈轩，等 . 考虑移动储能特性的电动汽车充放电调度策略［J］. 电力系统自动化， 2020 ， 44 （ 2 ）： 77 - 85 .

CHEN Zhong ， LIU Yi ， CHEN Xuan ， et al . Charging and discharging dispatching strategy for electric vehicles considering characteristics of mobile energy storage ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 2 ）： 77 - 85 .

SUN Y Y ， LI Z Y ， SHAHIDEHPOUR M ， et al . Battery-based energy storage transportation for enhancing power system economics and security ［J］. IEEE Transactions on Smart Grid ， 2015 ， 6 （ 5 ）： 2395 - 2402 .

YAO S H ， WANG P ， ZHAO T Y . Transportable energy storage for more resilient distribution systems with multiple microgrids ［J］. IEEE Transactions on Smart Grid ， 2019 ， 10 （ 3 ）： 3331 - 3341 .

CHEN Z B ， YIN Y F ， SONG Z Q . A cost-competitiveness analysis of charging infrastructure for electric bus operations ［J］. Transportation Research Part C： Emerging Technologies ， 2018 ， 93 ： 351 - 366 .

GALLET M ， MASSIER T ， HAMACHER T . Estimation of the energy demand of electric buses based on real-world data for large-scale public transport networks ［J］. Applied Energy ， 2018 ， 230 ： 344 - 356 .

KE B R ， CHUNG C Y ， CHEN Y C . Minimizing the costs of constructing an all plug-in electric bus transportation system： a case study in Penghu ［J］. Applied Energy ， 2016 ， 177 ： 649 - 660 .

DE FILIPPO G ， MARANO V ， SIOSHANSI R . Simulation of an electric transportation system at The Ohio State University ［J］. Applied Energy ， 2014 ， 113 ： 1686 - 1691 .

VEPSÄLÄINEN J ， KIVEKÄS K ， OTTO K ， et al . Development and validation of energy demand uncertainty model for electric city buses ［J］. Transportation Research Part D： Transport and Environment ， 2018 ， 63 ： 347 - 361 .

钱斌，石东源，谢平平，等 . 电动公交车换电站—电池充电站优化规划［J］. 电力系统自动化， 2014 ， 38 （ 2 ）： 64 - 69 .

QIAN Bin ， SHI Dongyuan ， XIE Pingping ， et al . Optimal planning of battery charging and exchange stations for electric vehicles ［J］. Automation of Electric Power Systems ， 2014 ， 38 （ 2 ）： 64 - 69 .

GEIßLER B ， MORSI A ， SCHEWE L ， et al . Penalty alternating direction methods for mixed-integer optimization： a new view on feasibility pumps ［J］. SIAM Journal on Optimization ， 2017 ， 27 （ 3 ）： 1611 - 1636 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic Reconfiguration Method for Distribution Network Based on Decision-oriented Period Division

Joint Planning of Soft Open Point and Energy Storage in Distribution Networks with Source-Load Imbalance Characteristics

Cooperative Optimal Scheduling Strategy for Distribution Network with Electric Buses Considering Carbon Quota

Siting and Sizing Method for Energy Storage Based on Dispatchable Potential of 5G Base Station and Cluster Partition of Distribution Network

Related Author

Ran XU

Xiaoyuan XU

Han WANG

Zheng YAN

ZHOU Guoxun

YU Tao

LIU Qianjin

WU Yufeng

Related Institution

School of Electric Power, South China University of Technology

School of Electrical Engineering, Beijing Jiaotong University

Key Laboratory of Ministry of Education on Smart Power Grids (Tianjin University)

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education, Northeast Electric Power University

Hangzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd.

⁰