Multi-layer Real-time Control Strategy of Electric Vehicle Aggregators for Peak Regulation of Power Grid

HU Junjie; LU Jiayue; MA Wenshuai; LI Gengyin; WANG Wen; YANG Ye

doi:10.7500/AEPS20231215003

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Multi-layer Real-time Control Strategy of Electric Vehicle Aggregators for Peak Regulation of Power Grid

Basic Research | 更新时间：2025-06-16

- Multi-layer Real-time Control Strategy of Electric Vehicle Aggregators for Peak Regulation of Power Grid
- Automation of Electric Power Systems Vol. 48, Issue 22, Pages: 84-95(2024)
- 作者机构：
  
  1.新能源电力系统国家重点实验室（华北电力大学），北京市 102206
  2.国网智慧车联网技术有限公司，北京市 100052
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52177080)
- DOI：10.7500/AEPS20231215003
  CLC：
- Received：15 December 2023，
  
  Revised：2024-04-03，
  
  Published Online：21 June 2024，
  
  Published：25 November 2024
- 稿件说明：
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胡俊杰,陆家悦,马文帅等.面向电网调峰的电动汽车聚合商多层级实时控制策略[J].电力系统自动化,2024,48(22):84-95.

HU Junjie,LU Jiayue,MA Wenshuai,et al.Multi-layer Real-time Control Strategy of Electric Vehicle Aggregators for Peak Regulation of Power Grid[J].Automation of Electric Power Systems,2024,48(22):84-95.
胡俊杰,陆家悦,马文帅等.面向电网调峰的电动汽车聚合商多层级实时控制策略[J].电力系统自动化,2024,48(22):84-95. DOI： 10.7500/AEPS20231215003.

HU Junjie,LU Jiayue,MA Wenshuai,et al.Multi-layer Real-time Control Strategy of Electric Vehicle Aggregators for Peak Regulation of Power Grid[J].Automation of Electric Power Systems,2024,48(22):84-95. DOI： 10.7500/AEPS20231215003.

摘要

规模化电动汽车参与电网互动将为新型电力系统提供重要的灵活性资源，目前分散的电动汽车已通过聚合方式参与电网调峰等辅助服务。针对调峰控制策略精度低、策略求解时间长的问题，提出了面向电网调峰的大规模电动汽车多层级实时控制方法。首先，根据充电桩历史数据提取特征量进行聚类分析；其次，建立不同充电需求下电动汽车功率鲁棒上下边界模型；然后，基于模型预测控制算法，建立双层多时间尺度滚动优化控制模型，将总功率按集群-电动汽车层级进行分解和快速修正；最后，通过算例验证了所提控制算法的总控制精度能达到97%以上，全时段均满足市场考核需求，单时段计算时间小于5 s，符合实时性要求。

Abstract

The participation of large-scale electric vehicles (EVs) in grid interaction will provide important flexibility resources for new power systems

and currently dispersed EVs have participated in auxiliary services such as peak regulation of power grids through aggregation. Aiming at the problems of low precision and long solving time of the control strategy for peak regulation

a multi-layer real-time control method for large-scale EVs for the peak regulation of power grids is proposed. First

the characteristic quantities are extracted from the historical data of charging stations for cluster analysis. Secondly

the power robust upper and lower boundary model of EVs under different charging requirements is established. Then

based on the model predictive control algorithm

a dual-layer multi-timescale rolling optimization control model is established

and the total power is decomposed and quickly corrected according to the cluster-EV level. Finally

a case is given to verify that the total control accuracy of the proposed control algorithm can reach more than 97%

and the whole period can meet the market assessment demand

and the calculation time of a single period is less than 5 s

which meets the real-time requirement.

关键词

Keywords

references

全球能源互联网发展合作组织 . 中国2060年前碳中和研究报告［R］. 北京：全球能源互联网发展合作组织， 2021 .

Global Energy Interconnection Development and Cooperation Organization . China’s carbon neutrality research report before 2060 ［R］. Beijing ： Global Energy Interconnection Development and Cooperation Organization ， 2021 .

MWASILU F ， JUSTO J J ， KIM E K ， et al . Electric vehicles and smart grid interaction： a review on vehicle to grid and renewable energy sources integration ［J］. Renewable and Sustainable Energy Reviews ， 2014 ， 34 ： 501 - 516 .

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

KARFOPOULOS E L ， HATZIARGYRIOU N D . Distributed coordination of electric vehicles providing V2G services ［J］. IEEE Transactions on Power Systems ， 2016 ， 31 （ 1 ）： 329 - 338 .

胡俊杰，周华嫣然，李阳 . 集群电动汽车平抑光伏波动实时调度策略［J］. 电网技术， 2019 ， 43 （ 7 ）： 2552 - 2560 .

HU Junjie ， ZHOU Huayanran ， LI Yang . Real-time dispatching strategy for aggregated electric vehicles to smooth power fluctuation of photovoltaics ［J］. Power System Technology ， 2019 ， 43 （ 7 ）： 2552 - 2560 .

CUI Y ， HU Z C ， DUAN X Y . Optimal pricing of public electric vehicle charging stations considering operations of coupled transportation and power systems ［J］. IEEE Transactions on Smart Grid ， 2021 ， 12 （ 4 ）： 3278 - 3288 .

袁桂丽，苏伟芳 . 计及电动汽车不确定性的虚拟电厂参与AGC调频服务研究［J］. 电网技术， 2020 ， 44 （ 7 ）： 2538 - 2548 .

YUAN Guili ， SU Weifang . Virtual power plants providing AGC FM service considering uncertainty of electric vehicles ［J］. Power System Technology ， 2020 ， 44 （ 7 ）： 2538 - 2548 .

OURAMDANE O ， ELBOUCHIKHI E ， AMIRAT Y ， et al . Home energy management considering renewable resources， energy storage， and an electric vehicle as a backup ［J］. Energies ， 2022 ， 15 （ 8 ）： 2830 .

裴振坤，王学梅，康龙云 . 电动汽车参与电网辅助服务的控制策略综述［J］. 电力系统自动化， 2023 ， 47 （ 18 ）： 17 - 32 .

PEI Zhenkun ， WANG Xuemei ， KANG Longyun . Review on control strategies for electric vehicles participating in ancillary services of power grid ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 18 ）： 17 - 32 .

华北能源监管局 . 华北能源监管局关于继续开展第三方独立主体参与华北电力调峰辅助服务市场试点工作的通知［EB/OL］.［ 2023-11-10 ］. http：//hbj.nea.gov.cn/adminContent/init ViewContent.do？pk=000000007647226901764c4e28ae0011 http://hbj.nea.gov.cn/adminContent/initViewContent.do?pk=000000007647226901764c4e28ae0011 .

North China Energy Regulatory Bureau . Notice of the North China Energy Regulatory Bureau on continuing the pilot work of third-party independent entities to participate in the North China power peaking ancillary services market ［EB/OL］. ［ 2023-11-10 ］. http：//hbj.nea.gov.cn/adminContent/initViewContent.do？pk=000000007647226901764c4e28ae0011 http://hbj.nea.gov.cn/adminContent/initViewContent.do?pk=000000007647226901764c4e28ae0011 .

薛露露，刘坚，王颖，等 . 中国电动汽车与电网协同的路线图与政策建议［R］. 北京：世界资源研究所， 2021 .

XUE Lulu ， LIU Jian ， WANG Ying ， et al . Action plans and policy recommendations on vehicle grid integration in China ［R］. Beijing ： World Resources Institute ， 2021 .

王海鑫，袁佳慧，陈哲，等 . 智慧城市车-站-网一体化运行关键技术研究综述及展望［J］. 电工技术学报， 2022 ， 37 （ 1 ）： 112 - 132 .

WANG Haixin ， YUAN Jiahui ， CHEN Zhe ， et al . Review and prospect of key techniques for vehicle-station-network integrated operation in smart city ［J］. Transactions of China Electrotechnical Society ， 2022 ， 37 （ 1 ）： 112 - 132 .

宁剑，吴继平，江长明，等 . 考虑资源运行特性的可调节负荷调峰调频优化控制策略［J］. 电力系统自动化， 2022 ， 46 （ 15 ）： 11 - 19 .

NING Jian ， WU Jiping ， JIANG Changming ， et al . Optimal control strategy of peak and frequency regulation for adjustable loads considering operation characteristics of resources ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 15 ）： 11 - 19 .

MOEINI-AGHTAIE M ， ABBASPOUR A ， FOTUHI-FIRUZABAD M ， et al . Optimized probabilistic PHEVs demand management in the context of energy hubs ［J］. IEEE Transactions on Power Delivery ， 2015 ， 30 （ 2 ）： 996 - 1006 .

DE HOOG J ， ALPCAN T ， BRAZIL M ， et al . Optimal charging of electric vehicles taking distribution network constraints into account ［J］. IEEE Transactions on Power Systems ， 2015 ， 30 （ 1 ）： 365 - 375 .

梁栋，邱馨洁，刘琪，等 . 电动汽车与直流配电网协同的分布式自适应滚动预测调度［J］. 电力系统自动化， 2023 ， 47 （ 24 ）： 90 - 99 .

LIANG Dong ， QIU Xinjie ， LIU Qi ， et al . Distributed adaptive rolling predictive scheduling based on coordination of electric vehicles and DC distribution networks ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 24 ）： 90 - 99 .

NIMALSIRI N I ， MEDIWATHTHE C P ， RATNAM E L ， et al . A survey of algorithms for distributed charging control of electric vehicles in smart grid ［J］. IEEE Transactions on Intelligent Transportation Systems ， 2020 ， 21 （ 11 ）： 4497 - 4515 .

LOUKARAKIS E ， DENT C J ， BIALEK J W . Decentralized multi-period economic dispatch for real-time flexible demand management ［J］. IEEE Transactions on Power Systems ， 2016 ， 31 （ 1 ）： 672 - 684 .

潘振宁，余涛，王克英 . 考虑多方主体利益的大规模电动汽车分布式实时协同优化［J］. 中国电机工程学报， 2019 ， 39 （ 12 ）： 3528 - 3541 .

PAN Zhenning ， YU Tao ， WANG Keying . Decentralized coordinated dispatch for real-time optimization of massive electric vehicles considering various interests ［J］. Proceedings of the CSEE ， 2019 ， 39 （ 12 ）： 3528 - 3541 .

HASHEMIPOUR N ， CRESPO DEL GRANADO P ， AGHAEI J . Dynamic allocation of peer-to-peer clusters in virtual local electricity markets： a marketplace for EV flexibility ［J］. Energy ， 2021 ， 236 ： 121428 .

JAHANGIR H ， GOUGHERI S S ， VATANDOUST B ， et al . Plug-in electric vehicle behavior modeling in energy market： a novel deep learning-based approach with clustering technique ［J］. IEEE Transactions on Smart Grid ， 2020 ， 11 （ 6 ）： 4738 - 4748 .

徐俊俊，程奕凌，张腾飞，等 . 计及充电行为特征与可调性的电动汽车集群优化调度［J］. 电力系统自动化， 2023 ， 47 （ 23 ）： 23 - 32 .

XU Junjun ， CHENG Yiling ， ZHANG Tengfei ， et al . Optimal scheduling of electric vehicle clusters considering characteristics and adjustability of charging behavior ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 23 ）： 23 - 32 .

ZHOU Q ， DU C Q . A quantitative analysis of model predictive control as energy management strategy for hybrid electric vehicles： a review ［J］. Energy Reports ， 2021 ， 7 ： 6733 - 6755 .

深圳市市场监督管理局 . 关于公开征求《电动汽车充换电设施有序充电和V2G双向能量互动技术规范》等3项地方标准意见的通告［EB/OL］.［ 2023-11-07 ］. http：//amr.sz.gov.cn/xxgk/qt/tzgg/content/post_10531618.html http://amr.sz.gov.cn/xxgk/qt/tzgg/content/post_10531618.html .

Shenzhen Municipal Administration for Market Regulation . Notice on publicly soliciting opinions on three local standards including the “technical specifications for orderly charging of electric vehicle charging and swapping facilities and V2G two-way energy interaction ”［EB/OL］. ［ 2023-11-07 ］. http：//amr.sz.gov.cn/xxgk/qt/tzgg/content/post_10531618.html http://amr.sz.gov.cn/xxgk/qt/tzgg/content/post_10531618.html .

王玉元，廖杰，杨红本，等 . 非车载充电机运行效率的测试及研究［J］. 中国测试， 2021 ， 47 （ 2 ）： 164 - 169 .

WANG Yuyuan ， LIAO Jie ， YANG Hongben ， et al . Measuring and research for the operational efficiency of off-board charger ［J］. China Measurement & Test ， 2021 ， 47 （ 2 ）： 164 - 169 .

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