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Electricity Satnav - Electricity Smart Availability Topology of Network for Abundant electric Vehicles

Electricity Satnav - Electricity Smart Availability Topology of Network for Abundant electric Vehicles
电力卫星导航 - 丰富的电动汽车网络的电力智能可用性拓扑
批准号:
EP/R001456/1
负责人:
Jin Yang
金额:
$25.64万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
The infrastructure of our electricity transmission and distribution is undergoing a substantial transformation to facilitate the realisation of a low-carbon economy. One important aspect is that, in low-voltage distribution networks, growing numbers of micro/small-scale distributed energy resources such as wind turbines and solar photovoltaic (PV) panels are being installed and commissioned. There are also pressing demands for new approaches to intelligently control appliances as a consequence of demand-side management or electrified transportation e.g., electric vehicles (EVs). Public EV charging points are being installed all over the UK. However, the resources are still very limited in terms of both the number installed and the perceived availability of charging amongst drivers. Meanwhile, distributed renewable sources generate fluctuating power which is not suited to expected patterns of EV charging. For instance, an EV owner may prefer to charge their car at night while the power generated from their rooftop PV panel only provides electricity during daytime. Energy storage is often viewed as the solution to this but it is difficult to justify its costs particularly in the context of domestic usage. Alternatively one can sell PV power to the grid and then purchase power when needed. For example, the feed-in-tariff encourages dispersed power being back-fed into the grid. These options can either cause waste of renewable resources (depending on the energy storage device on-site and efficiency), increase of physical stresses and losses (by increasing currents) in the distribution networks, and potentially be uneconomical for customers due to the price difference. Speculatively if all houses/vehicles can be used as EV charging resources, apart from charging points owned by network companies, the power imbalance issue and the frustration of EV drivers struggling to find a working charging point could be resolved. This research will investigate the feasibility of such a system which will provide real-time electricity availability information to foster the development of a peer-to-peer decentralised electricity market between micro/small-scale distributed energy generators (e.g. households with PV systems) and EV owners. This opens up the possibility of using the mobility of EV as energy storage for end users and excess electricity generated by households as a source to service the energy demand of EV owners. The proposed system will provide an open price bidding environment based on real-time electricity availability information of surplus power from distributed resources. To realise this a background programme needs to be running in real-time to model low-voltage electricity distribution networks from the distribution network operators (DNO). In this project, detailed network modelling (in both space and time domains) will be generated via graphical auto-identification techniques based on the existing DNO geographic information systems (GIS) and network design manuals. The social feasibility will also be assessed through qualitative and quantitative work to assess potential acceptability and behavioural responses. This idea can provide more flexible EV charging/discharging practices by options of H2V (House-to-Vehicle), W2V (Wind-to-Vehicle), and V2V (Vehicle-to-Vehicle) scenarios. Such a system could lead to a more efficient and flexible way of utilising distributed renewable energy sources and improving EV charging practices. From the DNO's point of view, such a system would also make it easier to manage dispersed renewable generation, mitigate network stresses and reduce the need for network reinforcement.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
An Improved Taguchi Approach with Heuristic Node Priority List for Optimal Integration of Mixed DGs in Low Carbon Distribution Networks
一种采用启发式节点优先级列表的改进田口方法,用于低碳配电网络中混合 DG 的优化集成
DOI: --
发表时间:
期刊:
影响因子: --
作者: [N Meena]
通讯作者: N Meena
DOI: 10.3390/en13184719
发表时间: 2020-09
期刊: Energies
影响因子: 3.2
作者: [P. Agrawal;N. Kanwar;N. Gupta;K. R. Niazi;A. Swarnkar;N. K. Meena;Jin Yang]
通讯作者: P. Agrawal;N. Kanwar;N. Gupta;K. R. Niazi;A. Swarnkar;N. K. Meena;Jin Yang
DOI: 10.1109/icps48983.2019.9067684
发表时间: 2019-12
期刊: 2019 8th International Conference on Power Systems (ICPS)
影响因子: --
作者: [Pushpendra Singh;S. K. Bishnoi;N. K. Meena;Jin Yang]
通讯作者: Pushpendra Singh;S. K. Bishnoi;N. K. Meena;Jin Yang
DOI: 10.1109/iicpe.2018.8709560
发表时间: 2018-12
期刊: 2018 8th IEEE India International Conference on Power Electronics (IICPE)
影响因子: --
作者: [N. K. Meena;Jin Yang;Pushpendra Singh]
通讯作者: N. K. Meena;Jin Yang;Pushpendra Singh
9
    Collaborative Research: Integrated Experiments and Modeling for Spatial, Finite, and Fast Rheometry of Graded Hydrogels using Inertial Cavitation
    • 批准号:
      2232428
    • 项目类别:
      Standard Grant
    • 资助金额:
      $19.48万
    • 财政年份:
      2023
    • 负责人:
      Jin Yang
    • 依托单位:
    Electricity Satnav - Electricity Smart Availability Topology of Network for Abundant electric Vehicles
    • 批准号:
      EP/R001456/2
    • 项目类别:
      Research Grant
    • 资助金额:
      $3.33万
    • 财政年份:
      2019
    • 负责人:
      Jin Yang
    • 依托单位:
    海外基金