Intelligent Grid Interfaced Vehicle Eco-charging (iGIVE)

智能电网接口车辆生态充电 (iGIVE)

• 批准号: EP/L001063/1
• 负责人: Kang Li
• 金额: $ 108.96万
• 依托单位: Queen's University Belfast
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL001063%2F1
• 关键词: Intelligent; Grid; Interfaced; Vehicle; Eco

The UK government is determined to address the challenges of tackling climate change and maintaining energy security in a way that minimises costs and maximises benefits to the economy. Among all sources of CO2 emissions in the UK, the energy supply accounts for about 40%, followed by the transport for over 25%. To meet the target of cutting greenhouse gas emissions by 80% by 2050, large proportion of electricity generated from low carbon sources integrated with mass adoption of electric vehicles (EV) offer a great potential. Likewise, the Chinese 12th National Economic and Social Development Five-Year Plan has set the target of 3.5% reduction per unit of GDP in both energy use and carbon dioxide emissions, and identified new energy and clean energy vehicles among the seven priority industries in the next five years from 2012. It is clear that both countries are fully committed to a planned 'decarbonisation' of their respective energy systems. However, both face the challenges of planning and building the suitable infrastructure, and of managing the resources to ensure future power systems operate more reliably, more flexibly, and more economically, by integrating and coordinating the actions of all actors. It has been widely recognized that electric vehicles could both benefit from and help to drive forward the development of smart grids where renewable resources are widely and substantially employed. However, a number of technical challenges are still open for further exploitation. The proposed collaborative interdisciplinary research will investigate and develop an intelligent grid interfaced vehicle eco-charging (iGIVE) system for more reliable, more flexible and efficient, and more environmental friendly smart gird solutions for seamless integration of distributed low-carbon intermittent power generation and large number of EVs. To achieve this, a multilayer hierarchical power and information flow framework for monitoring and optimal control of the EV charging while minimising the volume of information passed to the utility control centers will be investigated first. Within this framework, a variable rate bi-directional high performance EV battery charging unit based on a patented technology will be developed, and battery management and optimal EV charging and discharging dispatching strategies will be investigated. Other issues associated to the charging stations, such as electromagnetic interference and harmonics generation and their impact on environment and electricity grid will also be studied. Finally, simulation platform will be built to investigate the interactions of EV-related different participants and their impact on the grid operations. A test bed to verify the design will be developed and a joint UK-China joint laboratory on smart grid and EV integration will be established, bringing together key academic and industry partners in smart grid and EV from UK and China.Both system operators and EV industry in the UK, China and other parts of the world will benefit considerably from the development of intelligent EV eco-charging systems when a large number of EVs are adopted by the public and greater amounts of renewable power are utilized, as they provide an adaptive and intelligent framework and EV charging systems to economically, efficiently and environment-friendly accommodate charging requirements as well as providing ancillary service to the grid integrated with larger amounts of intermittent renewable energy sources and thereby enable the decarbonisation of the electricity supply industry and the transport sector.

英国政府决心以最小化成本和最大化经济利益的方式应对应对气候变化和维护能源安全的挑战。在英国所有二氧化碳排放源中，能源供应约占40%，其次是交通运输，占比超过25%。为了实现到 2050 年将温室气体排放量减少 80% 的目标，大量低碳能源发电与电动汽车 (EV) 的大规模采用相结合，具有巨大的潜力。同样，中国国民经济和社会发展第十二个五年规划纲要提出单位国内生产总值能源消耗和二氧化碳排放下降3.5%的目标，并将新能源和清洁能源汽车列为国民经济七大优先发展产业之一。从 2012 年起的下一个五年。很明显，两国都完全致力于各自能源系统的计划“脱碳”。然而，两者都面临着规划和建设合适的基础设施以及管理资源的挑战，以确保未来电力系统通过整合和协调所有参与者的行动更可靠、更灵活、更经济地运行。人们普遍认识到，电动汽车既可以受益于智能电网的发展，也有助于推动智能电网的发展，而智能电网可再生资源得到广泛而大量的利用。然而，许多技术挑战仍然有待进一步开发。拟议的跨学科合作研究将研究和开发智能电网接口车辆生态充电（iGIVE）系统，以提供更可靠、更灵活、更高效、更环保的智能电网解决方案，实现分布式低碳间歇发电和大容量发电的无缝集成。电动汽车的数量。为了实现这一目标，首先将研究用于监测和优化控制电动汽车充电的多层分层电力和信息流框架，同时最大限度地减少传递到公用事业控制中心的信息量。在此框架内，将开发基于专利技术的可变速率双向高性能电动汽车电池充电装置，并研究电池管理和最佳电动汽车充放电调度策略。与充电站相关的其他问题，例如电磁干扰和谐波产生及其对环境和电网的影响也将得到研究。最后，将建立仿真平台来研究电动汽车相关不同参与者的相互作用及其对电网运行的影响。将开发验证设计的测试平台，并建立中英智能电网和电动汽车集成联合实验室，汇集英国和中国智能电网和电动汽车领域的主要学术和行业合作伙伴。系统运营商和电动汽车当公众大量采用电动汽车并利用更多可再生能源时，英国、中国和世界其他地区的行业将大大受益于智能电动汽车生态充电系统的发展，因为它们提供了自适应充电系统。智能架构和电动汽车充电系统，经济、高效、环保，满足充电需求，并为电网提供辅助服务，与大量间歇性可再生能源相结合，从而实现电力供应行业和交通运输部门的脱碳。

项目成果

Future Energy Markets - An Examination of Thermal Generation in an ideally Interconnected Europe in 2050

未来能源市场 - 2050 年理想互联欧洲的火力发电考察

• 发表时间: 2017
• 作者: A. Foley

Impact of unit commitment on the optimal operation of hybrid microgrids

机组组合对混合微电网优化运行的影响

• 发表时间: 2016
• 作者: []

An Open Source Analogue to Digital Converter for Power System Measurements with Time Synchronisation

用于具有时间同步功能的电力系统测量的开源模数转换器

• 发表时间: 2017
• 作者: David M. Laverty

Procedural simulation method for aggregating charging load model of private electric vehicle cluster

私人电动汽车集群聚合充电负荷模型的程序仿真方法

• DOI: 10.1007/s40565-015-0125-z
• 发表时间: 2015
• 期刊: Journal of Modern Power Systems and Clean Energy
• 影响因子: 6.3
• 作者: BAN M

Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model

• DOI: 10.1109/tsg.2020.2986333
• 发表时间: 2020-04
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Jun Cao;Daniel J. B. Harrold;Zhong Fan;Thomas Morstyn;David Healey;Kang Li