Multi-stage operation strategy of electric vehicle aggregator participating in energy and frequency regulation markets considering charging and discharging incentive mechanisms

被引：0

作者：

Ge L. ^{[1
]}

Wang Q. ^{[1
]}

Wang M. ^{[1
,2
]}

Cui L. ^{[1
]}

Jia P. ^{[1
]}

Chen X. ^{[3
]}

机构：

[1] School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing

[2] Electric Power Research Institute, State Grid Jiangsu Electric Power Co.，Ltd., Nanjing

[3] Nanjing Sifang Epower Automation Co.，Ltd., Nanjing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 06期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

aggregator; charging and discharging incentive mechanisms; electric vehicles; energy and frequency regulation markets; multi-stage operation;

D O I：

10.16081/j.epae.202312019

中图分类号：

学科分类号：

摘要：

Improving the incentive mechanism for electric vehicles（EVs）to actively participate in the charging and discharging two-way interactive frequency regulation，and comprehensively considering the multi-stage interaction effect of EVs’charging and discharging behaviors in the energy and frequency regulation markets，is conducive to accurately evaluate the benefits of aggregators participating in the electricity market. The multi-stage operation strategy of EV aggregator participating in multi-variety market is proposed to maximize the operating income of the aggregator. Based on the statistical data of charging behavior characteristics，the power and energy response boundary of a single EV is established. Considering the difference of users’ participation in charging control and discharge control，and combined with users’own preferences and battery loss，the charging and discharging incentive mechanism of EV cluster is proposed，based on which，the power and energy response boundary constraints of EV cluster are established. Based on the time-sequence of EV charging and discharging regulation control and the frequency regulation demand of multi-stage market，the operation benefit optimization model of multi-variety market considering multi-stage sequential interaction is established. Combined with the operation case of PJM market，the effectiveness of the proposed charging and discharging incentive mechanism and operation strategy is verified. The results show that the proposed strategy can effectively improve the benefit of aggregators participating in the energy and frequency regulation markets on the basis of ensuring the charging demand of users. © 2024 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：176 / 184

页数：8

共 19 条

[1]

WANG Mingshen, MU Yunfei, JIA Hongjie, Et al., Smoothing control strategy considering energy storage capability of electric vehicle aggregators and wind power integration［J］, Electric Power Automation Equipment, 38, 5, pp. 211-219, (2018)

[2]

LI Yonggang, SUN Haochao, ZHOU Yichen, Et al., Frequency regulation auxiliary service bidding strategy for aggregators considering charging and discharging interruption risk of newly added electric vehicles［J］, Electric Power Automation Equipment, 42, 10, pp. 3-12, (2022)

[3]

GAO S A, Et al., Combined provision of economic dispatch and frequency regulation by aggregated EVs considering electricity market interaction［J］, IEEE Transactions on Transportation Electrification, 9, 1, pp. 1723-1735, (2023)

[4]

LIU H, WANG J H, Et al., EV dispatch control for supplementary frequency regulation considering the expectation of EV owners［J］, IEEE Transactions on Smart Grid, 9, 4, pp. 3763-3772, (2018)

[5]

CHEN Wenzhe, SUN Haishun, XU Ruilin, Et al., Cloud-edge collaboration based hierarchical dispatch technology for EV participating in frequency regulation service［J］, Proceedings of the CSEE, 43, 3, pp. 914-927, (2023)

[6]

HOU Hui, TANG Junyi, WANG Yifan, Et al., Long-time-scale charging and discharging scheduling of electric vehicles under joint price and incentive demand response［J］, Automation of Electric Power Systems, 46, 15, pp. 46-55, (2022)

[7]

LI Jun, LIANG Jiacheng, LIU Ketian, Et al., Optimal scheduling strategy for electric vehicles charging and discharging considering user responsiveness［J］, Southern Power System Technology, 17, 8, pp. 123-132, (2023)

[8]

SONG M, AMELIN M., Purchase bidding strategy for a retailer with flexible demands in day-ahead electricity market［J］, IEEE Transactions on Power Systems, 33, 3, (2018)

[9]

ZHOU Xingyue, HUANG Xiangmin, ZHANG Yongjun, Et al., Real-time scheduling and optimization model of electric vehicles based on fuzzy evaluation of demand response potential ［J］, Electric Power Automation Equipment, 42, 10, pp. 30-37, (2022)

[10]

ZENG M, LENG S P，, MAHARJAN S，, Et al., An incentivized auction-based group-selling approach for demand response management in V2G systems［J］, IEEE Transactions on Industrial Informatics, 11, 6, pp. 1554-1563, (2015)

← 1 2 →