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Towards Joint Power-Communication System Modelling and Optimisation for Smart Grid Application: Virtual Power Plant (TOPMOST)

Towards Joint Power-Communication System Modelling and Optimisation for Smart Grid Application: Virtual Power Plant (TOPMOST)
面向智能电网应用的联合电力通信系统建模和优化:虚拟电厂(TOPMOST)
批准号:
EP/P005950/1
负责人:
Hongjian SUN
金额:
$12.88万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

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中文摘要
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英文摘要
The UK's electricity networks are serving millions of people everyday but now are facing a challenging future, with ageing infrastructure but increasing penetration of Renewable Energy Sources (RESs). As such, the Office of Gas and Electricity Markets (Ofgem) has approved plans to spend £17bn for upgrading the UK's electricity networks till 2023 by using smarter technologies. As one of the most promising solutions, smart grid has attracted much attention, since it is capable of enabling bidirectional flows of energy and communications in the power grid infrastructure, that is crucial in improving the reliability, security, and efficiency of the electric systems and keeping the lights on at minimum cost to consumers. The proposed research is concerned with one key smart grid application, i.e., Virtual Power Plant (VPP) which is designed to aggregate the capacity of many diverse distributed energy resources (DERs) and flexible demands to create a single operating profile as one "virtual power plant" that helps balance supply and demand in real time. To facilitate VPP, both optimisation algorithms and communication technologies play a significant role, but the full potential of VPP has been hampered by the lack of joint power-communication system models and the thorough analysis of the impact of communication system imperfections to optimisation algorithms. If successful, this research will provide better understandings of these two systems operating with close interactions in VPP, develop more advanced methods in the design of VPP, and implement a hardware testbed of VPP with two-way real-time communication capability in Durham Smart Grid Laboratory. These could potentially lead to more efficient management of RESs and flexible demands, ultimately to improved operational efficiency of power grids for system operators and to reduced cost for consumers. Perhaps most importantly, however, is that this research will enable us to begin asking how we shall optimise the performance of smart grid technologies, considering not only power systems but also realistic communication systems, thus encouraging multidisciplinary research and cross-fertilising both fields.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/access.2017.2740219
发表时间: 2017-01-01
期刊: IEEE ACCESS
影响因子: 3.9
作者: [Alnasser, Aljawharah, Sun, Hongjian]
通讯作者: Sun, Hongjian
Dynamic charging of electric vehicles integrating renewable energy: a multi-objective optimisation problem
集成可再生能源的电动汽车动态充电:多目标优化问题
DOI: 10.1049/iet-stg.2018.0066
发表时间: 2019
期刊: IET Smart Grid
影响因子: 2.3
作者: [Humfrey H]
通讯作者: Humfrey H
Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay
机会节能协作继电器的动态时间和功率分配
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者: [Heron J.]
通讯作者: Heron J.
DOI: 10.1109/tii.2018.2816580
发表时间: 2018-03
期刊: IEEE Transactions on Industrial Informatics
影响因子: 12.3
作者: [Ellen Hill;Hongjian Sun]
通讯作者: Ellen Hill;Hongjian Sun
7
    Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation (VPP-WARD)
    • 批准号:
      EP/Y005376/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $235.13万
    • 财政年份:
      2023
    • 负责人:
      Hongjian SUN
    • 依托单位:
    国内基金
    海外基金
    基于双稳健共享参数Joint模型的脑卒中早期关键风险因素推断研究
    • 批准号:
      81803337
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      21.0万元
    • 批准年份:
      2018
    • 负责人:
      石福艳
    • 依托单位: