Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)

电力和能源系统运行数字化 (DEEPS)

基本信息

  • 批准号:
    MR/W011360/2
  • 负责人:
  • 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
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

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.
电力和能源系统代表关键的国家基础设施,该基础设施与更广泛的经济部门互动,包括运输,通信,农业,制造,建筑和教育。可靠的电力系统操作是确保从各种能源产生的电力的关键,可以安全地运行以满足这些部门的电气负载。可靠的电力系统运营将极大地影响人们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英国总体能源使用的100%脱碳化的关键。结果,大规模的低碳和可再生能源(RES),例如风能和太阳能,以及电动汽车,储能和智能电网都集成到未来电力系统的顶部和尾部。这些新技术从根本上改变了电源系统通过复杂的基础架构和高度分散的RES的运行方式。电力和能源系统的规模和复杂性的增加需要高级监控,建模和控制技术,以处理诸如停电之类的重大干扰。 2019年8月,由于GB电源系统上的一系列事件,RES在极端天气的影响下,大约有100万户家庭失去了电力。英国具有丰富的RES和雄心勃勃的净零目标,但其电源系统在地理上是从大陆岛岛岛,具有有限的海底电缆连接,由于许多小型RES替换了大型中央控制的发电厂,因此降低了系统的“强度”,使GB电源系统在重大系统下更加“脆性”和“易变”。该研究员将采用一种以行业为中心的方法来研究基本的建模方法和高级模拟工具,以解决最多100%低碳和RES的实时电源系统操作中的挑战。该团契的一个主要新颖性是了解各种能源系统和实体的基本相互依存和互操作性,以及在传输,分配和可再生系统运营商之间。这将包括整个系统建模方法的新开发以及数字仿真技术在未来电力系统操作中的应用。奖学金发展将基于该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营方面的研究专业知识。该研究员将在整个系统级别(传输,分销,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展示,并在工业规模的能源管理系统中进一步部署。高级电力系统模型,工具和技术的调查,开发,演示和部署将为更广泛的行业和学术社区提供经济高效且可扩展的仿真平台。奖学金的研究和创新成果有望更好地监控和管理电力系统,并保持电网可靠性的控制和优化。这将有助于实现英国净零排放,通过数字化,脱碳和权力下放化的能源过渡。在乌克里和东道机构的支持下,该研究员将发展成为动力和能源系统数字化领域的未来领导者,通过与八个工业伙伴在电力系统工程和数字技术领域的工业伙伴和工程培训和机构培训社会中与八个工业伙伴合作,并获得了工程学的研究,并获得了工程学社会。奖学金将计划在学术界和行业中进行密集的培训活动,并建立研究和创新网络。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
  • 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:
    0
  • 作者:
    Zhou Z
  • 通讯作者:
    Zhou Z
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Xin Zhang其他文献

Experimental investigations on the effects of longitudinal groove fabric for drag reductions on a track cyclist
纵向沟槽织物对场地自行车减阻效果的实验研究
  • DOI:
    10.1016/j.expthermflusci.2024.111223
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Chuntai Zheng;Peng Zhou;Jiaqi Mao;Xin Zhang
  • 通讯作者:
    Xin Zhang
The top-100 most cited articles of biomarkers in congenital heart disease: a bibliometric analysis.
先天性心脏病生物标志物被引用最多的 100 篇文章:文献计量分析。
  • DOI:
    10.21037/apm-21-2422
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Yi;Jianguo Xu;Ke Yang;Xin Zhang;Long Ma;Tao You;Jinge Tian
  • 通讯作者:
    Jinge Tian
Synthesis, crystal structures and antibacterial activities of schiff base ligand and its cobalt(II) complex
希夫碱配体及其钴(II)配合物的合成、晶体结构及抗菌活性
Impedance Modeling and Small Signal Stability Analysis of the Cascaded AC/DC Converter
级联AC/DC转换器的阻抗建模和小信号稳定性分析
Bluetooth simulations for wireless sensor networks using GTNetS
使用 GTNetS 进行无线传感器网络的蓝牙仿真

Xin Zhang的其他文献

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{{ truncateString('Xin Zhang', 18)}}的其他基金

Conference: Theory and Foundations of Statistics in the Era of Big Data
会议:大数据时代的统计学理论与基础
  • 批准号:
    2403813
  • 财政年份:
    2024
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Standard Grant
Global Centers Track 1: Global Nitrogen Innovation Center for Clean Energy and Environment (NICCEE)
全球中心轨道 1:全球清洁能源与环境氮创新中心 (NICCEE)
  • 批准号:
    2330502
  • 财政年份:
    2023
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Standard Grant
Aviation-to-Grid: Grid flexibility through multiscale modelling and integration of power systems with electrified air transport
航空到电网:通过多尺度建模以及电力系统与电气化航空运输的集成实现电网灵活性
  • 批准号:
    EP/W028905/1
  • 财政年份:
    2023
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Research Grant
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
  • 财政年份:
    2022
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Fellowship
Belmont Forum Collaborative Research: Guiding the pursuit for sustainability by co-developing a Sustainable Agriculture Matrix (SAM)
贝尔蒙特论坛合作研究:通过共同开发可持续农业矩阵(SAM)来指导对可持续发展的追求
  • 批准号:
    2137033
  • 财政年份:
    2021
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Continuing Grant
CAREER: Sustainable Nitrogen Management across Spatial and System Scales
职业:跨空间和系统尺度的可持续氮管理
  • 批准号:
    2047165
  • 财政年份:
    2021
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Continuing Grant
INFEWS: U.S.-China: Managing agricultural nitrogen to achieve sustainable Food-Energy-Water Nexus in China and the U.S.
INFEWS:中美:管理农业氮以实现中国和美国可持续的食品-能源-水关系
  • 批准号:
    2025826
  • 财政年份:
    2021
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Standard Grant
Collaborative Research: New Regression Models and Methods for Studying Multiple Categorical Responses
合作研究:研究多重分类响应的新回归模型和方法
  • 批准号:
    2113590
  • 财政年份:
    2021
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Standard Grant
Tensor and Subspace Learning Methods with Applications to Medical Imaging
张量和子空间学习方法及其在医学成像中的应用
  • 批准号:
    2053697
  • 财政年份:
    2021
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Continuing Grant
CAREER: Quantification of Cellular Proteome Stress and Recovery Using Chemical Methods
职业:使用化学方法量化细胞蛋白质组压力和恢复
  • 批准号:
    1944973
  • 财政年份:
    2020
  • 资助金额:
    $ 178.07万
  • 项目类别:
    Standard Grant

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FABB-HVDC (Future Aerospace power conversion Building Blocks for High Voltage DC electrical power systems)
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  • 批准号:
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