电动汽车充电集群的灵活性潜力量化

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-10-16 DOI:10.1016/j.segan.2024.101547
Simone Striani, Tim Unterluggauer, Peter Bach Andersen, Mattia Marinelli
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引用次数: 0

摘要

利用电动汽车(EV)提供灵活性服务的一个重大障碍,是充电集群作为灵活负载使用时的盈利能力和灵活性潜力的不确定性。目前,文献中缺乏全面且易于应用的灵活性量化方法。本文介绍了一种评估工具和一套灵活性指数,用于评估充电集群提供灵活性服务的能力。该方法旨在评估和量化充电集群在短期和长期电力调整以及充电调度方面的灵活性潜力。通过敏感性分析,我们研究了连接容量、电动汽车电池容量、供电能力和每日充电次数对充电集群灵活性潜力的影响。我们的研究结果表明,集群的电网连接能力与其执行短期功率调整的能力之间存在直接关系。此外,虽然大型电池往往会降低能量和时间的灵活性,但其存储能力的提高有助于管理和调度更大的能量。此外,在所分析的日子里,灵活性潜力对每日充电次数的敏感性极低。相反,所需的能源量和连接模式成为整体灵活性的关键决定因素。总之,这项研究为电动汽车充电集群的设计、监控和评估提供了有价值的见解,有助于评估其是否适合各种灵活性服务。
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Flexibility potential quantification of electric vehicle charging clusters
A significant obstacle to providing flexibility services with electric vehicles (EVs) is the uncertainty surrounding the profitability and flexibility potential of charging clusters when utilized as a flexible load. Currently, there is a lack of comprehensive and easily applicable methods for quantifying flexibility in the literature. This paper introduces an evaluation tool and a set of flexibility indexes to assess the capability of charging clusters to deliver flexibility services. The method is designed to evaluate and quantify the flexibility potential of charging clusters in terms of short-term and long-term power adjustments and charge scheduling. Through sensitivity analysis, we examine how connection capacity, EV battery capacities, power capabilities, and the number of daily charging sessions influence the flexibility potential of charging clusters. Our findings highlight a direct relationship between the grid connection capacity of clusters and their ability to perform short-term power adjustments. Moreover, while larger batteries tend to reduce energy and time flexibility, their increased storage capability facilitates managing and scheduling a larger energy volume. Furthermore, for the days analysed, the flexibility potential showed minimal sensitivity to the number of daily charging sessions. Instead, the amount of energy requested and connection patterns emerge as key determinants of overall flexibility. In summary, this research provides valuable insights that can inform the design, monitoring, and assessment of EV charging clusters when evaluating their suitability for various flexibility services.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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