Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)
Digitalisation of Electrical Power and Energy Systems Operation (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 --
中文摘要
点击翻译按钮获取中文摘要
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
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批准号:2403813
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项目类别:Standard Grant
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资助金额:$1.48万
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财政年份:2024
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负责人:Xin Zhang
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依托单位:
Global Centers Track 1: Global Nitrogen Innovation Center for Clean Energy and Environment (NICCEE)
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批准号:2330502
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项目类别:Standard Grant
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资助金额:$500.0万
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财政年份:2023
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负责人:Xin Zhang
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Aviation-to-Grid: Grid flexibility through multiscale modelling and integration of power systems with electrified air transport
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批准号:EP/W028905/1
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项目类别:Research Grant
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资助金额:$51.33万
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财政年份:2023
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负责人:Xin Zhang
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依托单位:
Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)
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批准号:MR/W011360/2
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项目类别:Fellowship
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资助金额:$178.07万
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财政年份:2023
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负责人:Xin Zhang
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依托单位:
Belmont Forum Collaborative Research: Guiding the pursuit for sustainability by co-developing a Sustainable Agriculture Matrix (SAM)
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批准号:2137033
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项目类别:Continuing Grant
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资助金额:$7.0万
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财政年份:2021
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负责人:Xin Zhang
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依托单位:
CAREER: Sustainable Nitrogen Management across Spatial and System Scales
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批准号:2047165
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项目类别:Continuing Grant
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资助金额:$51.0万
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财政年份:2021
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负责人:Xin Zhang
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依托单位:
INFEWS: U.S.-China: Managing agricultural nitrogen to achieve sustainable Food-Energy-Water Nexus in China and the U.S.
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批准号:2025826
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2021
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负责人:Xin Zhang
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依托单位:
Collaborative Research: New Regression Models and Methods for Studying Multiple Categorical Responses
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批准号:2113590
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2021
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负责人:Xin Zhang
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依托单位:
Tensor and Subspace Learning Methods with Applications to Medical Imaging
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批准号:2053697
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项目类别:Continuing Grant
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资助金额:$18.0万
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财政年份:2021
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负责人:Xin Zhang
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依托单位:
CAREER: Quantification of Cellular Proteome Stress and Recovery Using Chemical Methods
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批准号:1944973
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项目类别:Standard Grant
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资助金额:$74.0万
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财政年份:2020
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负责人:Xin Zhang
-
依托单位:
A study on traffic signal phasing schemes considering crossing pedestrian maneuvers at signalized intersections
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批准号:19K15111
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项目类别:Grant-in-Aid for Early-Career Scientists
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资助金额:$2.33万
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财政年份:2019
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负责人:Xin Zhang
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依托单位:
REU Site: Integrated Nanomanufacturing
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批准号:1852255
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项目类别:Standard Grant
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资助金额:$39.74万
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财政年份:2019
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负责人:Xin Zhang
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依托单位:
Diatom-Enabled Scalable Nanomanufacturing for Photonic Devices
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批准号:1762739
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项目类别:Standard Grant
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资助金额:$35.81万
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财政年份:2018
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负责人:Xin Zhang
-
依托单位:
Collaborative Research: Impedance-Enabled Microfluidic Renal Proximal Tubule Biochip Platform
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批准号:1804787
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项目类别:Standard Grant
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资助金额:$35.75万
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财政年份:2018
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负责人:Xin Zhang
-
依托单位:
OP: MEMS-driven photonic metamaterials: dynamic wavefront tailoring with reconfigurable metasurfaces
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批准号:1810252
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项目类别:Standard Grant
-
资助金额:$36.21万
-
财政年份:2018
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负责人:Xin Zhang
-
依托单位:
RET Site: Integrated Nanomanufacturing
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批准号:1801626
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项目类别:Standard Grant
-
资助金额:$50.06万
-
财政年份:2018
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负责人:Xin Zhang
-
依托单位:
INFEWS/T2: Sustainable Agriculture in the Nexus of Food, Energy, Water and Nutrient on National and Global Scales
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批准号:1739823
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项目类别:Standard Grant
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资助金额:$125.25万
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财政年份:2017
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负责人:Xin Zhang
-
依托单位:
Collaborative Research: Tensor Envelope Model - A New Approach for Regressions with Tensor Data
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批准号:1613154
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项目类别:Standard Grant
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资助金额:$10.29万
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财政年份:2016
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负责人:Xin Zhang
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依托单位:
CIF: Small: Efficient Discriminant Analysis Through Parsimonious Probabilistic Models
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批准号:1617691
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项目类别:Standard Grant
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资助金额:$41.42万
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财政年份:2016
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负责人:Xin Zhang
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依托单位:
REU Site: Integrated Nanomanufacturing
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批准号:1461152
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项目类别:Standard Grant
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资助金额:$36.08万
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财政年份:2015
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负责人:Xin Zhang
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依托单位:
海外基金