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: Aston University
• 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
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR001456%2F1
• 关键词: Electricity; Satnav; Smart; Availability; Topology

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.

我们的输电和配电基础设施正在经历重大变革，以促进实现低碳经济。一个重要的方面是，在低压配电网中，越来越多的微型/小规模分布式能源正在安装和调试，如风力涡轮机和太阳能光伏电池板。由于需求侧管理或电气化运输，也存在对智能控制家电的新方法的迫切需求，例如电动汽车(EVS)。英国各地都在安装公共电动汽车充电站。然而，无论是在安装的数量上，还是在司机对充电的感知方面，资源仍然非常有限。与此同时，分布式可再生能源产生的电力波动不适合电动汽车充电的预期模式。例如，电动汽车车主可能更喜欢在晚上给汽车充电，而屋顶光伏电池板产生的电力只在白天提供电力。能源储存通常被视为解决这一问题的办法，但很难证明其成本是合理的，特别是在家庭使用的情况下。或者，人们可以将光伏发电出售给电网，然后在需要时购买电力。例如，上网电价鼓励分散的电力回馈电网。这些选择可能会导致可再生资源的浪费(取决于现场的储能设备和效率)、配电网络中物理压力的增加和损耗(通过增加电流)，并可能由于价格差异而对客户不经济。推测，如果所有房屋/车辆都能作为电动汽车充电资源，除了网络公司拥有的充电站外，电力不平衡问题和电动汽车司机难以找到工作充电站的沮丧可能会得到解决。这项研究将探讨这样一个系统的可行性，该系统将提供实时的电力供应信息，以促进微型/小规模分布式能源发电商(例如，拥有光伏系统的家庭)和电动汽车车主之间建立点对点分散电力市场。这为利用电动汽车的移动性作为最终用户的能源储存和家庭产生的过剩电力作为一种来源来满足电动汽车车主的能源需求提供了可能性。该系统将提供一个公开的竞价环境，基于分布式资源剩余电力的实时可用电量信息。为了实现这一点，需要实时运行一个后台程序来对配电网络运营商(DNO)的低压配电网络进行建模。在这个项目中，将根据现有的DNO地理信息系统和网络设计手册，通过图形自动识别技术生成详细的网络模型(在空间和时间域)。还将通过定性和定量工作评估社会可行性，以评估潜在的可接受性和行为反应。这一想法可以通过选择H2V(房屋对车辆)、W2V(风力对车辆)和V2V(车辆对车辆)场景来提供更灵活的电动汽车充放电实践。这样的系统可以带来一种更高效、更灵活的方式来利用分布式可再生能源，并改进电动汽车充电实践。从DNO的角度来看，这样的系统还将使管理分散的可再生能源发电变得更容易，缓解网络压力，减少对网络加固的需要。

项目成果

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

• 作者: N Meena

Reliability and Network Performance Enhancement by Reconfiguring Underground Distribution Systems

• 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

Simultaneous Integration of Renewable Power Generation and Battery Energy Storage in Distribution Networks

• DOI: 10.1109/icps48983.2019.9067684
• 发表时间: 2019-12
• 期刊: 2019 8th International Conference on Power Systems (ICPS)
• 作者: Pushpendra Singh;S. K. Bishnoi;N. K. Meena;Jin Yang

Backward/Forward Method for Three-phase Power Flow Calculation in Low Voltage Distribution Networks with EV Charging Points

• DOI: 10.1109/iicpe.2018.8709560
• 发表时间: 2018-12
• 期刊: 2018 8th IEEE India International Conference on Power Electronics (IICPE)
• 作者: N. K. Meena;Jin Yang;Pushpendra Singh

Optimal Planning and Operational Management of Open-Market Community Microgrids

公开市场社区微电网的优化规划与运行管理

• DOI: 10.1016/j.egypro.2018.12.002
• 发表时间: 2019
• 期刊: Energy Procedia
• 作者: Meena N