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基于竞争图谱的电动物流汽车充电站需求响应策略
作者:
作者单位:

1.四川中电启明星信息技术有限公司,四川省成都市 610074;2.四川大学电气工程学院,四川省成都市 610065

摘要:

针对当前中国部分城市电动物流汽车充电站难以开展需求响应的情况,提出一种基于竞争图谱的电动物流汽车充电站需求响应策略。首先,构建电动物流汽车分类分级方法,按照电动物流汽车的充电时空特征、充电价格曲线等分析电动物流汽车用户的特性。在此基础上,基于竞争图谱构建电动物流汽车用户充电贵宾体系,形成电动物流汽车用户参与需求响应的激励机制。其次,计及电动物流汽车充电站内的储能、电价等因素,构建电动物流汽车充电站需求响应策略,从而减少电动物流汽车无序充电对充电站参与需求响应造成的影响。最后,通过实例分析比较了所提策略与蒙特卡洛需求响应策略的经济性,其结果验证了所提需求响应策略的有效性和实用性。

关键词:

基金项目:

四川省科技计划资助项目(2016GZ0143);已申请国家发明专利(申请号:202110586800.6)。

通信作者:

作者简介:

唐冬来(1980—),男,通信作者,高级工程师,主要研究方向:配电网量测、分析和信息化咨询等。E-mail:tangdonglai@sgitg.sgcc.com.cn
倪平波(1975—),男,硕士,高级工程师,主要研究方向:配电网运行、监控和企业经营等。
胡州明(1984—),男,硕士,高级工程师,主要研究方向:电力信息通信、电力营销和企业经营管理等。


Competition Map Based Demand Response Strategy of Charging Station for Electric Logistics Vehicles
Author:
Affiliation:

1.Aostar Information Technology Co., Ltd., Chengdu 610074, China;2.School of Electrical Engineering, Sichuan University, Chengdu 610065, China

Abstract:

In view of the current situation that charging stations for electric logistics vehicles (ELVs) in some cities of China have difficulties in carrying out demand response, a competition map based demand response strategy of charging stations for ELVs is proposed. Firstly, a classification method for ELVs is constructed, and the characteristics of ELV users are analyzed according to the charging temporal-spatial characteristics and charging price curve of ELVs, etc. On this basis, the charging very important person (VIP) system for ELV users is constructed based on the competition map, and the incentive mechanism for ELV users to participate in demand response is formed. Secondly, considering the energy storage, electricity price and other factors of the ELV charging station, the demand response strategy of the ELV charging station is constructed, so as to reduce the impact of disorderly charging of the ELVs on the charging station participating in demand response. Finally, the economy of the proposed strategy is compared with that of the Monte Carlo demand response strategy through an example analysis, and results verify the effectiveness and practicability of the proposed demand response strategy.

Keywords:

Foundation:
This work is supported by Science and Technology Project of Sichuan Province (No. 2016GZ0143).
引用本文
[1]唐冬来,倪平波,胡州明,等.基于竞争图谱的电动物流汽车充电站需求响应策略[J].电力系统自动化,2021,45(21):189-196. DOI:10.7500/AEPS20210420005.
TANG Donglai, NI Pingbo, HU Zhouming, et al. Competition Map Based Demand Response Strategy of Charging Station for Electric Logistics Vehicles[J]. Automation of Electric Power Systems, 2021, 45(21):189-196. DOI:10.7500/AEPS20210420005.
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  • 收稿日期:2021-04-20
  • 最后修改日期:2021-07-15
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  • 在线发布日期: 2021-11-03
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