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/R001456/2
• 负责人: Jin Yang
• 金额: $ 3.33万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR001456%2F2
• 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.

我们的输配电基础设施正在经历重大转型，以促进实现低碳经济。一个重要方面是，在低压配电网中，安装和调试了越来越多的微型/小型分布式能源，如风力涡轮机和太阳能光伏板。由于需求侧管理或电气化运输，还迫切需要智能控制电器的新方法，电动汽车（EV）。公共电动汽车充电站正在英国各地安装。然而，就安装的数量和驾驶员之间充电的感知可用性而言，资源仍然非常有限。同时，分布式可再生能源产生波动的功率，这不适合EV充电的预期模式。例如，电动汽车车主可能更喜欢在晚上给他们的汽车充电，而他们的屋顶光伏电池板产生的电力只在白天提供电力。储能通常被视为解决方案，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，人们可以向电网出售光伏发电，然后在需要时购买电力。例如，上网电价鼓励分散的电力被反馈到电网中。这些选项可能导致可再生资源的浪费（取决于现场的能量存储设备和效率），配电网络中的物理应力和损耗（通过增加电流）的增加，并且由于价格差异而可能对客户不经济。据推测，如果所有房屋/车辆都可以用作电动汽车充电资源，除了网络公司拥有的充电点外，电力不平衡问题和电动汽车驾驶员难以找到工作充电点的挫折感可以得到解决。这项研究将调查这样一个系统的可行性，该系统将提供实时的电力可用性信息，以促进微型/小型分布式能源发电机（例如拥有光伏系统的家庭）和电动汽车所有者之间的点对点分散电力市场的发展。这开辟了使用电动汽车的移动性作为最终用户的能量存储和家庭产生的多余电力作为服务电动汽车所有者的能源需求的来源的可能性。建议的系统将提供一个公开的价格投标环境的基础上，实时电力可用性信息的剩余电力从分布式资源。为了实现这一点，需要实时运行后台程序，以对配电网络运营商（DNO）的低压配电网络进行建模。在该项目中，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建模（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。这个想法可以通过H2 V（房屋到车辆），W2 V（风到车辆）和V2 V（车辆到车辆）场景的选项提供更灵活的EV充电/放电实践。这样的系统可以带来一种更有效、更灵活的方式来利用分布式可再生能源，并改善电动汽车充电实践。从DNO的角度来看，这样的系统还可以更容易地管理分散的可再生能源发电，减轻网络压力并减少对网络加固的需求。

项目成果

Symmetrical Semidefinite Programming with Bifurcation Phase-Changing SOPs for Unbalanced Power Distribution Networks

不平衡配电网络的分叉相变 SOP 对称半定规划

• DOI: 10.1109/ei252483.2021.9713647
• 发表时间: 2021
• 作者: Lou C

Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks

• DOI: 10.1016/j.apenergy.2020.115723
• 发表时间: 2020-11
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: Pushpendra Singh;N. K. Meena;Jin Yang;E. Vega-Fuentes;S. K. Bishnoi

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