1. 国网冀北清洁能源汽车服务(北京)有限公司
2. 智能电网教育部重点实验室(天津大学)
3. 华北电力大学电气与电子工程学院
纸质出版:2025
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刘汉民, 张旋, 付晓颜, 等. 考虑电动汽车的灵活性供需平衡及源网荷储充协同优化调度[J]. 供用电, 2025,42(6):3-12.
刘汉民, 张旋, 付晓颜, 等. 考虑电动汽车的灵活性供需平衡及源网荷储充协同优化调度[J]. 供用电, 2025,42(6):3-12. DOI: 10.19421/j.cnki.1006-6357.2025.06.001.
随着新能源并网与电动汽车大规模接入,电力系统运行调度复杂性显著增加,传统灵活性资源难以支撑新型电力系统的灵活性需求。针对此问题,为充分挖掘源、网、荷、储、充等灵活性资源的调节潜力,提出了一种计及电动汽车、储能、可再生能源、需求响应及电气热网络耦合互补的协同优化调度方法。首先,建立了各类灵活性资源的灵活性供需模型,并量化了电动汽车在多场景下的能量-功率调节潜力。其次,将电气热网络耦合互补纳入多元灵活性资源调度框架,并以最小化调度周期总运行成本为目标,构建了多元灵活性资源优化调度模型,通过协同优化策略解决传统单一资源调度的不足。最后,基于源网荷储充一体化测试系统的仿真验证,表明所提方法在高比例新能源接入场景下,显著提升了配电网的经济性、灵活性及新能源消纳能力。
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Tan Bifei,Chen Simin,Liang Zipeng,Zheng Xiaodong,Zhu Yanjin,Chen Haoyong.An iteration-free hierarchical method for the energy management of multiple-microgrid systems with renewable energy sources and electric vehicles[J].Applied Energy,2024.
Lei Xiang,Yu Hang,Yu Bingxuan,Shao Ziyun,Jian Linni.Bridging electricity market and carbon emission market through electric vehicles: Optimal bidding strategy for distribution system operators to explore economic feasibility in China's low-carbon transitions[J].Sustainable Cities and Society,2023.
Yang Jie,Liu Wei,Ma Kai,Yue Zhiyuan,Zhu Anhu,Guo Shiliang.An optimal battery allocation model for battery swapping station of electric vehicles[J].Energy,2023.
Wang Rui,Li Peng,Yu Hao,Ji Haoran,Xi Wei,Wang Chengshan.Identification of critical uncertain factors of distribution networks with high penetration of photovoltaics and electric vehicles[J].Applied Energy,2023.
Pirouzi Afshin,Aghaei Jamshid,Pirouzi Sasan,Vahidinasab Vahid,Jordehi Ahmad Rezaee.Exploring potential storage-based flexibility gains of electric vehicles in smart distribution grids[J].Journal of Energy Storage,2022.
Lotfi Mohamed,Almeida Tiago,Javadi Mohammad S.,Osório Gerardo J.,Monteiro Cláudio,Catalão João P.S..Coordinating energy management systems in smart cities with electric vehicles[J].Applied Energy,2022.
Liu Peng,Wang Chaoyu,Hu Jia,Fu Tingting,Cheng Nan,Zhang Ning,Shen Xuemin.Joint Route Selection and Charging Discharging Scheduling of EVs in V2G Energy Network[J].IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2020.
Science Policy Research Unit (SPRU), School of Business, Management, and Economics, University of Sussex, United Kingdom,Center for Energy Technologies, Department of Business Development and Technology, Aarhus University, Denmark,Center for Energy Technologies, Department of Business Development and Technology, Aarhus University, Denmark,Transport Studies Unit, School of Geography and the Environment, University of Oxford, United Kingdom,Center for Energy Technologies, Department of Business Development and Technology, Aarhus University, Denmark,Center for Energy Technologies, Department of Business Development and Technology, Aarhus University, Denmark.Actors, business models, and innovation activity systems for vehicle-to-grid (V2G) technology: A comprehensive review[J].Renewable and Sustainable Energy Reviews,2020.
Fazeli Seyed Sajjad,Venkatachalam Saravanan,Chinnam Ratna Babu,Murat Alper.Two-Stage Stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Communities[J].IEEE Transactions on Intelligent Transportation Systems,2020.
Ahmad Nikoobakht,Jamshid Aghaei,Roohallah Khatami,Esmaeel Mahboubi-Moghaddam,Masood Parvania.Stochastic flexible transmission operation for coordinated integration of plug-in electric vehicles and renewable energy sources[J].Applied Energy,2019.
Wenzel George,Negrete Pincetic Matias,Olivares Daniel E.,MacDonald Jason,Callaway Duncan S..Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services[J].IEEE Transactions on Smart Grid,2018.
Nathaniel S. Pearre,Lukas G. Swan.Electric vehicle charging to support renewable energy integration in a capacity constrained electricity grid[J].Energy Conversion and Management,2016.
曾珠梅,孙建梅.计及电-气-热需求响应的区域综合能源系统运行优化[J].电力工程技术,2024(05).
张浩,陆海,罗恩博,李远,陈淑敏,王达达.考虑资源灵活性的多区域综合能源系统协同调度[J].电网与清洁能源,2024(09).
李响,武海潮,王文雪,安全.考虑大规模新能源接入的电网性能评价指标体系[J].电力系统保护与控制,2024(15).
袁晓冬,曾飞,缪惠宇,侯永全,徐敦彬,张潇,梅霜.电热氢综合能源系统建模及容量规划研究[J].高压电器,2024(07).
朱天生,李大成,庞锋,项华伟,杨建赞,龚兰强.考虑源荷协同的水风光一体化多时间尺度优化调度研究[J].水电与抽水蓄能,2024(02).
苗福丰,吴豫.面向区域化综合能源调度的负荷预测算法设计[J].电子设计工程,2023(15).
丁浩然,张博,唐巍,张璐,范闻博.考虑源-网-荷-储协同的配电台区分布式光伏消纳能力评估[J].供用电,2023(03).
周任军,吴燕榕,潘轩,禹海峰,蒋诗谣,文汀.考虑电热需求响应的区域综合能源系统储能容量优化配置[J].电力科学与技术学报,2023(01).
赵鹏臻,谢宁,殷佳敏,王承民.适应新型电力系统发展趋势的配电网集中-分布式形态及其分层分区方法[J].智慧电力,2023(01).
陈忠华,陈致远,王梦涵,陈琳,尹建兵,王骏海,江全元.考虑电动汽车接入的配电网灵活性评估方法[J].现代电力,2022(06).
吉兴全,张旋,于一潇,张玉敏,杨明,刘健.考虑综合能源系统运行灵活性的输配协同优化调度[J].电力系统自动化,2022(23).
吉兴全,刘健,张玉敏,于一潇,韩学山,张旋.计及运行灵活性约束的综合能源系统优化调度[J].电力系统自动化,2022(16).
张旋,张玉敏,吉兴全,韩学山,杨明,徐波.计及电-气-热综合能源系统的输配协同优化调度[J].电网技术,2022(11).
王守相,陈建凯,王洪坤,武志伟.综合考虑电动汽车充电与储能及可中断负荷调度的配电网两阶段灵活性提升优化方法[J].电力自动化设备,2020(11).
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