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首页> 外文期刊>Applied Energy >Internet of smart charging points with photovoltaic Integration: A high-efficiency scheme enabling optimal dispatching between electric vehicles and power grids
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Internet of smart charging points with photovoltaic Integration: A high-efficiency scheme enabling optimal dispatching between electric vehicles and power grids

机译：具有光伏集成的智能充电点互联网：一种高效方案，可实现电动车辆和电网之间的最佳派遣

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摘要

Plug-in electric vehicles (PEVs) and renewable energy sources (RESs) can relief the stress on air pollution. Particularly, using RES for PEV energy requirement can integrate more RESs on the grid. In this paper, a vehicleto-grid (V2G) scheme concerning on RES and edge computing, i.e. the internet of smart charging points with photovoltaics integration, is presented. Within the architecture of the scheme, each charging point equips computing and storage units, so as to store PEV sensitive information locally and conduct "burn after scheduling". Besides, this architecture can transform the traditional large-scale V2G problem into several subproblems, which are small enough to optimize. Based on the architecture of the scheme, an associated highefficiency algorithm is designed. Six typical scenarios of PEV charging are elaborated and two indexes are presented to facilitate 1) the self-consumption of photovoltaics energy by PEV charging and 2) the peak-shaving and valley-filling of net load. Additionally, voltage regulation and real-time control are applied to ensure the security of the distribution grid and mitigate the uncertain conditions. Finally, compared with uncoordinated charging, the short-time scale simulation realizes the peak-shaving and valley-filling by 17.54% and 12.42%, respectively; and the amount of self-consumption of photovoltaics energy increases by 258.74%. Furthermore, the long-time scale simulations also present a satisfying performance for the grid energy saving and the load factor. Particularly, the proposed scheme offers high computational efficiency compared with different architecture and algorithm, and the execution time for scheduling one PEV at one-time interval shows a microsecond basis.
机译：插入式电动汽车（PEVS）和可再生能源（RESS）可以缓解空气污染的压力。特别是，使用RES for PEV能量要求可以在网格上集成更多的ress。本文提出了一种关于REA和Edge Computing的车辆网格（V2G）方案，即，具有光伏集成的智能充电点互联网。在该方案的架构内，每个充电点都配备了计算和存储单元，以便本地存储PEV敏感信息并在调度后进行“燃烧”。此外，这种体系结构可以将传统的大规模V2G问题转换为几个子问题，这足以优化。基于该方案的架构，设计了一种相关的效率算法。阐述了六种典型的PEV充电场景，并提出了两种指标，以方便1）PEV充电的光伏能量的自我消耗和2）净负荷的峰值剃须和谷填充。另外，应用电压调节和实时控制以确保分配网格的安全性并减轻不确定的条件。最后，与不协调的充电相比，短时间尺度模拟分别实现了17.54％和12.42％的峰值剃须和山谷;光伏能量的自耗量增加258.74％。此外，长时间尺度模拟还为网格节能和负载因子提供了满足性能。特别地，所提出的方案与不同的架构和算法相比提供了高的计算效率，以及以一次性间隔以一次性间隔调度一个PEV的执行时间来显示微秒。

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  • 来源
    《Applied Energy》 |2020年第15期|115640.1-115640.16|共16页
  • 作者

    Shang Yitong; Liu Man; Shao Ziyun; Jian Linni;

  • 作者单位

    Southern Univ Sci & Technol Shenzhen Key Lab Elect Direct Dr Technol Dept Elect & Elect Engn Shenzhen 518055 Peoples R China|Southern Univ Sci & Technol Univ Key Lab Adv Wireless Commun Guangdong Prov Shenzhen 518055 Peoples R China;

    Southern Univ Sci & Technol Shenzhen Key Lab Elect Direct Dr Technol Dept Elect & Elect Engn Shenzhen 518055 Peoples R China|Southern Univ Sci & Technol Univ Key Lab Adv Wireless Commun Guangdong Prov Shenzhen 518055 Peoples R China;

    Guangzhou Univ Sch Mech & Elect Engn Guangzhou 510006 Peoples R China;

    Southern Univ Sci & Technol Shenzhen Key Lab Elect Direct Dr Technol Dept Elect & Elect Engn Shenzhen 518055 Peoples R China|Southern Univ Sci & Technol Univ Key Lab Adv Wireless Commun Guangdong Prov Shenzhen 518055 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Plug-in electric vehicle; Vehicle-to-grid; ISCP-PV; Edge computing; Peak-shaving and valley-filling; Self-consumption of the PV energy;

    机译：插入式电动车辆;车辆到网格;ISCP-PV;边缘计算;峰值剃须和谷填充;自我消耗的光伏能量;

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