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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/W011360/2
负责人:
Xin Zhang
金额:
$178.07万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

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中文摘要
翻译
电力和能源系统是与运输、通信、农业、制造、建筑和教育等更广泛的经济部门相互作用的关键国家基础设施。可靠的电力系统运行是确保各种能源产生的电力能够以安全的方式传输以满足这些部门的电力负荷的关键。可靠的电力系统运行将极大地影响人民生活的社会舒适度以及英国经济的健康增长。电力和能源系统将是满足英国具有法律约束力的100%总能源使用脱碳的关键。因此,大规模的低碳和可再生能源,如风能和太阳能,以及电动汽车、储能和智能电网被整合到未来电力系统的顶部和尾部。这些新技术正在从根本上改变电力系统的运行方式,拥有复杂的基础设施和高度分散的资源。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,约100万户家庭因极端天气影响下RE渗透率高的GB电力系统发生一系列事件而断电。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的发电厂,导致系统“强度”降低,使英国电力系统在重大系统事件下变得更加“脆弱”和“不稳定”。该研究员将以行业为重点,研究基本的建模方法和先进的仿真工具,以应对高达100%低碳和可再生能源的实时电力系统运行中的挑战。该奖学金的一个重要创新之处是了解各种能源系统和实体以及跨输电、配电和可再生系统运营商之间的根本相互依存和互操作性。这将包括全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。该奖学金的发展将基于该研究员在电力国家控制以及可再生能源系统运营方面的高度相关的行业经验和研究专业知识。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。先进的电力系统模型、工具和技术的研究、开发、演示和部署将为更广泛的工业界和学术界提供具有成本效益和可扩展的仿真平台。该研究金的研究和创新成果将有望更好地监测和管理电力系统,以及维持电网可靠性的控制和优化。这将有助于通过数字化、脱碳和分散化的能源转型实现英国净零排放目标。在英国能源研究所和主办机构的支持下,该研究员将通过与电力系统工程和数字技术领域的八个工业合作伙伴、三个国际知名的研究和工程学会以及学术界和工业界的导师合作,发展成为电力和能源系统数字化领域的未来领导者。该奖学金将计划学术界和工业界的强化培训活动,以及建立Fate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(3)
专著(0)
科研奖励(0)
会议论文
Virtual-physical power flow method for cyber-physical power system contingency and vulnerability assessment
信息物理电力系统应急与脆弱性评估的虚拟物理潮流方法
DOI: 10.1049/stg2.12143
发表时间: 2023
期刊: IET Smart Grid
影响因子: 2.3
作者: [Qiu D]
通讯作者: Qiu D
A Review on Defense Mechanism against the Denial of Service and False Data Injection in Cyber-Physical Power Systems
信息物理电力系统拒绝服务和虚假数据注入防御机制综述
DOI: 10.1109/cieec58067.2023.10166959
发表时间: 2023
期刊:
影响因子: --
作者: [Zhou Z]
通讯作者: Zhou Z
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/W011360/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $189.87万
  • 财政年份:
    2022
  • 负责人:
    Xin Zhang
  • 依托单位:
海外基金