课题基金 / 基金详情

Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)

Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)
电力和能源系统运行数字化 (DEEPS)
批准号:
MR/W011360/1
负责人:
Xin Zhang
金额:
$189.87万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

项目成果

Xin Zhang的其他基金

相似基金

相关文献

中文摘要
翻译
电力和能源系统是关键的国家基础设施,与交通、通信、农业、制造业、建筑和教育等更广泛的经济部门相互作用。电力系统的可靠运行是确保各种能源发电能够安全运行以满足各行业电力负荷的关键。电力系统的可靠运行将极大地影响人们的社会生活舒适度和英国经济的健康发展。在英国,电力和能源系统将是实现具有法律约束力的100%整体能源使用脱碳的关键。因此,大规模的低碳和可再生能源(RES),如风能和太阳能,以及电动汽车、储能和智能电网,将被整合到未来电力系统的顶端和尾部。这些新技术从根本上改变了电力系统在复杂基础设施和高度分散的res下的运行方式。电力和能源系统的规模和复杂性不断增加,需要先进的监测、建模和控制技术来处理停电等重大干扰。2019年8月,由于极端天气影响下可再生能源的高渗透率,英国电力系统发生了一系列事件,导致约100万户家庭断电。英国拥有丰富的可再生能源和雄心勃勃的净零目标,但其电力系统在地理上与大陆隔绝,海底电缆连接有限,由于许多小型可再生能源取代大型中央控制发电厂而降低了系统“强度”,使得英国电力系统在重大系统事件下更加“脆弱”和“不稳定”。该研究员将以行业为重点,研究基本建模方法和先进的仿真工具,以解决实时电力系统运行中的挑战,实现100%低碳和可再生能源。该研究员的一个关键新颖之处在于了解各种能源系统和实体以及输电、配电和可再生能源系统运营商之间的基本相互依赖性和互操作性。这将包括整个系统建模方法的新发展和数字仿真技术在未来电力系统运行中的应用。奖学金的发展将基于研究员在电力国家控制方面的高度相关行业经验以及可再生能源系统运行方面的研究专长。该研究员将在整个系统层面(输电、配电、可再生能源)与电力系统运营商合作,并得到市场领先的数字技术行业合作伙伴的支持。原型应用程序将在伦敦布鲁内尔大学的电力系统和计算设施中进行演示,并进一步部署到工业规模的能源管理系统中。先进电力系统模型、工具和技术的调查、开发、演示和部署将为更广泛的工业和学术界提供具有成本效益和可扩展的仿真平台。该奖学金的研究和创新成果将有望更好地监测和管理电力系统,以及保持对电网可靠性的控制和优化。这将有助于通过数字化、脱碳和去中心化的能源转型实现英国的净零排放目标。在UKRI和主办机构的支持下,该研究员将发展成为电力和能源系统数字化领域的未来领导者,通过与电力系统工程和数字技术的八个工业合作伙伴,三个国际知名的研究和工程学会合作,并获得学术界和工业界的导师。该奖学金将在学术界和工业界计划密集的培训活动,并建立研究员的研究和创新网络。
英文摘要
Electrical power and energy systems represent critical national infrastructure that interoperates with wider economic sectors including transport, communications, agriculture, manufacturing, construction and education. Reliable power system operation is the key in ensuring the electricity generated from various energy sources can travel in a secure way to meet the electrical loads of those sectors. Reliable power system operation will greatly impact the social comfort of people's lives as well as the healthy growth of the UK economy. Electrical power and energy systems will be key to meet legally binding 100% decarbonisation of overall energy usage in the UK. As a consequence, the large scale of low-carbon and renewable energy sources (RES) such as wind and solar, together with electric vehicles, energy storage and smart grids are integrated into the top and tail of future power systems. These new technologies are fundamentally changing the way power systems operate with complex infrastructure and highly dispersed RES. The increasing size and complexity of electrical power and energy systems require advanced monitoring, modelling and control techniques to handle major disturbances such as blackouts. In August 2019, around 1 million homes lost power due to a series of events on the GB power system with high penetration of RES under extreme weather impacts. The UK has rich RES and ambitious net zero targets, but its power systems are geographically islanded from the mainland with limited undersea cable connections, reduced system "strength" due to many small RES replacing large centrally controlled power plants, making the GB power systems more "brittle" and "volatile" under the major system events. The Fellow will take an industry focused approach to investigate the fundamental modelling methods and advanced simulation tools to address the challenges in real-time power system operation with up to 100% low-carbon and RES. A key novelty of this Fellowship is to understand the fundamental interdependency and interoperability of various energy systems and entities, and across transmission, distribution and renewable system operators. This will include novel development of whole system modelling approaches and applications of digital simulation techniques into the future power system operation. The Fellowship development will be based on the Fellow's highly relevant industry experience in Electricity National Control as well as research expertise in renewable power system operation. The Fellow will work with electricity system operators at the whole system level (transmission, distribution, renewables) and is supported by market-leading digital technology industry partners. Prototype applications will be demonstrated in power systems and computing facilities at Brunel University London, with further deployment to energy management systems at industrial scales. The investigation, development, demonstration and deployment of advanced power system models, tools and techniques will provide cost-effective and scalable simulation platforms to wider industry and academic communities. The research and innovation outcomes of the Fellowship will be expected to better monitoring and managing of power systems as well as maintaining the control and optimisation of power grid reliability. This will assist in achieving the UK net zero emissions target through the energy transition of digitalisation, decarbonisation and decentralisation.With support from UKRI and host institution the Fellow will develop into a Future Leader in the field of power and energy systems digitalisation, by working with eight industrial partners in power systems engineering and digital technologies, three internationally respected research and engineering societies, and accessing mentors from academia and industry. The Fellowship will plan intensive training activities across academia and industry, as well as building Fellow's research and innovation networks.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/upec55022.2022.9917963
发表时间: 2022-08
期刊: 2022 57th International Universities Power Engineering Conference (UPEC)
影响因子: --
作者: [A. H. Dabashi;D. Qiu;G. Taylor;Xin Zhang]
通讯作者: A. H. Dabashi;D. Qiu;G. Taylor;Xin Zhang
Conference: Theory and Foundations of Statistics in the Era of Big Data
  • 批准号:
    2403813
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.48万
  • 财政年份:
    2024
  • 负责人:
    Xin Zhang
  • 依托单位:
Global Centers Track 1: Global Nitrogen Innovation Center for Clean Energy and Environment (NICCEE)
Aviation-to-Grid: Grid flexibility through multiscale modelling and integration of power systems with electrified air transport
  • 批准号:
    EP/W028905/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $51.33万
  • 财政年份:
    2023
  • 负责人:
    Xin Zhang
  • 依托单位:
Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)
  • 批准号:
    MR/W011360/2
  • 项目类别:
    Fellowship
  • 资助金额:
    $178.07万
  • 财政年份:
    2023
  • 负责人:
    Xin Zhang
  • 依托单位:
海外基金