Multi-energy Control of Cyber-Physical Urban Energy Systems (MC2)

信息物理城市能源系统的多能控制(MC2)

基本信息

  • 批准号:
    EP/T021969/1
  • 负责人:
  • 金额:
    $ 103.56万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    已结题

项目摘要

Urban energy systems play a crucial role in the economic, social and environmental performance of large towns and cities. There are many dense newly built urban areas in China, with limited space for renewables but resilience and clean energy with less air pollution are key issues. The UK has legacy urban energy infrastructure and decarbonisation has priority. All these challenges will place unprecedented requirements on the load demand and distributed generation of urban energy systems. Although the driving forces and the objectives of development of urban energy systems are different in the UK and China, sustainable, cost effective and reliable urban power supply is one of the key research topics in both countries.This project will focus on novel methods for sustainable power supply, and will address the following two key research challenges, each of which has associated objectives.(1) Conventional control approaches for urban power supply do not address the emerging opportunities offered by increased measurement and control of urban energy systems, do not consider the flexibility provided by other energy vectors, and do not proactively and self-adaptively deal with the inevitable uncertainties associated with the fast-evolving urban energy systems; and (2) current urban energy systems rely on external bulk power supply with low resilience, i.e. interruption of external power supply will have catastrophic consequences, and supply restoration from such abnormal events will be difficult and time consuming. Coupling of different energy vectors to maximise the benefits of system integration must be coordinated with decoupling of electricity networks (create islandable urban energy systems) during abnormal events to increase the system resilience by maintaining energy supply to un-faulted urban areas.The objectives of the project are to combine research strengths of the leading institutions in the UK and China to respond to the above challenges and: (1) investigate multi-zone and multi-energy evolving system and control architecture of urban energy systems. Digital twins will be used to model and analyse each multi-energy system that is connected to the urban electric power network. Their system coupling and system-integration potential will be identified and flexibility provision quantified; (2) develop a novel method for both current situational awareness and future situational forecasting of an urban energy system, based on the digital twin of each multi-energy system and network measurements; (3) investigate smart interconnection of different urban zones using Soft Open Points in medium voltage (MV) electricity networks for accurate, real-time and resilient power flow control, and smart interconnection of multiple players using distributed ledger technology (DLT) for fully decentralised trust-based control; (4) develop a multi-energy control strategy for an urban energy system, which employs situational awareness and smart interconnection methods to significantly improve performance and resilience of the urban energy system by setting up coordinated control and energy islanding capability; and (5) validate the effectiveness of the proposed multi-energy control using hardware-in-the-loop (HiL) test facilities and selected case studies, and provide cost and benefit analysis (CBA). The MC2 project will provide strategic direction for the future of sustainable urban power supply in the 2030-2050 time frame and deliver methodologies and technologies of alternative network control in order to facilitate a cost effective evolution to a resilient, affordable, low carbon and even net-zero future. The complementary, cross-country expertise will allow us to undertake the challenging research with substantially reduced cost, time and effort. The two-nation cross-fertilisation will make sure that the value of our research is for both developed and developing nations.
城市能源系统在大城镇和城市的经济,社会和环境表现中起着至关重要的作用。中国有许多密集的新建城市地区,可再生能源的空间有限,但是弹性和清洁能源和空气污染较少的清洁能力是关键问题。英国具有旧的城市能源基础设施,脱碳优先。所有这些挑战将对城市能源系统的负载需求和分布生成提出前所未有的要求。尽管英国和中国的城市能源系统的驱动力和发展目标是不同的,但可持续,具有成本效益和可靠的城市电力供应是两国的关键研究主题之一。该项目将重点介绍可持续电源供应的新方法,并将解决以下两个关键的研究挑战,每种挑战都不相关,而不是与乌尔班相关的供应机能。不要考虑其他能量媒介提供的灵活性,也不会主动和自治性地应对与快速发展的城市能源系统相关的不可避免的不确定性; (2)当前的城市能源系统依靠外部散装电源具有较低的弹性,即外部电源的中断将带来灾难性的后果,而这种异常事件的供应恢复将很困难且耗时。在异常事件期间,必须与电力网络(创建可岛化城市能源系统)的脱钩的不同能量矢量的耦合必须协调,以通过维持对未违反城市的城市的能源供应来提高系统的弹性。不断发展的系统和控制城市能源系统的体系结构。数字双胞胎将用于建模和分析连接到城市电力网络的每个多能系统。他们的系统耦合和系统整合电位将被识别,并量化灵活性。 (2)基于每个多能系统和网络测量值的数字双胞胎,开发了一种新的方法,用于当前情况意识和对城市能源系统的未来情况预测; (3)使用中型电压(MV)电网络中的软开放点调查不同城市区域的智能互连,以进行准确,实时和弹性的功率流控制,并使用分布式Ledger Technology(DLT)对多个玩家的智能互连,以完全分散的基于基于信任的控制; (4)为城市能源系统制定多能控制策略,该策略采用情境意识和智能互连方法,通过建立协调的控制和能源岛屿能力来显着提高城市能源系统的性能和弹性; (5)使用硬件(HIL)测试设施和选定的案例研究验证提出的多能控制的有效性,并提供成本和收益分析(CBA)。 MC2项目将在2030-2050时间范围内为可持续城市电源的未来提供战略方向,并提供替代网络控制的方法和技术,以促进具有成本效益的进化,以恢复弹性,负担得起,低碳甚至零零未来。互补的越野专业知识将使我们能够以大幅减少的成本,时间和精力进行挑战性的研究。两国的交叉施用将确保我们的研究价值对发展和发展中的国家。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Anomaly Detection, Classification and Identification Tool (ADCIT)
异常检测、分类和识别工具 (ADCIT)
  • DOI:
    10.1016/j.simpa.2023.100465
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Asefi S
  • 通讯作者:
    Asefi S
Modified unified power flow controller for medium voltage distribution networks
  • DOI:
    10.1049/gtd2.12567
  • 发表时间:
    2022-08
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mohamed A. Abdelrahman;Peng Yang;Wenlong Ming;Jianzhong Wu;N. Jenkins
  • 通讯作者:
    Mohamed A. Abdelrahman;Peng Yang;Wenlong Ming;Jianzhong Wu;N. Jenkins
Dynamic coupling real-time energy consumption modeling for data centers
数据中心动态耦合实时能耗建模
  • DOI:
    10.1016/j.egyr.2022.06.085
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    An H
  • 通讯作者:
    An H
Optimal Virtual Power Plant Management for Multiple Grid Support Services
多种电网支持服务的最佳虚拟电厂管理
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems
用于电力、热力和天然气组合网络系统多能源预测的深度学习模型
  • DOI:
    10.1109/ijcnn54540.2023.10191058
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Arsene C
  • 通讯作者:
    Arsene C
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Jianzhong Wu其他文献

Electrostatic regulation of genome packaging in human hepatitis B virus.
人类乙型肝炎病毒基因组包装的静电调节。
  • DOI:
    10.1016/j.bpj.2009.01.009
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    T. Jiang;Zhen‐Gang Wang;Jianzhong Wu
  • 通讯作者:
    Jianzhong Wu
Influence of anisotropic ion shape on structure and capacitance of an electric double layer: a Monte Carlo and density functional study.
各向异性离子形状对双电层结构和电容的影响:蒙特卡罗和密度泛函研究。
  • DOI:
    10.1063/1.4817325
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    S. Lamperski;M. Kaja;L. B. Bhuiyan;Jianzhong Wu;D. Henderson
  • 通讯作者:
    D. Henderson
A modular approach to integrated energy distribution system analysis
综合能源分配系统分析的模块化方法
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Rees;Jianzhong Wu;Bieshoy Awad;J. Ekanayake;N. Jenkins
  • 通讯作者:
    N. Jenkins
Band Anticrossing and Related Electronic Structure in III–N-V Alloys
III-N-V 合金中的能带反交叉及相关电子结构
  • DOI:
    10.1016/b978-008044502-1/50010-x
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    W. Walukiewicz;W. Shan;Jianzhong Wu;K. Yu;J. Ager
  • 通讯作者:
    J. Ager
Optimal Planning for Partially Self-Sufficient Microgrid With Limited Annual Electricity Exchange With Distribution Grid
与配电网年换电量有限的部分自给微电网优化规划
  • DOI:
    10.1109/access.2019.2936762
  • 发表时间:
    2019-08
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Qifang Chen;Mingchao Xia;Yue Zhou;Hanmin Cai;Jianzhong Wu;Haibo Zhao
  • 通讯作者:
    Haibo Zhao

Jianzhong Wu的其他文献

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{{ truncateString('Jianzhong Wu', 18)}}的其他基金

NSF-DFG Confine: MolPEC – Molecular Theory of Weak Polyelectrolytes in Confined Space
NSF-DFG Confine:MolPEC — 密闭空间弱聚电解质的分子理论
  • 批准号:
    2234013
  • 财政年份:
    2022
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant
Collaborative Research: Integrating Physics and Generative Machine Learning Models for Inverse Materials Design
合作研究:将物理与生成机器学习模型相结合进行逆向材料设计
  • 批准号:
    1940118
  • 财政年份:
    2019
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Continuing Grant
NSF Workshop: New Vistas in Molecular Thermodynamics: Experimentation, Modeling and Inverse Design
NSF 研讨会:分子热力学新前景:实验、建模和逆向设计
  • 批准号:
    1807368
  • 财政年份:
    2018
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant
Theory and Application of Polyelectrolyte Complexation
聚电解质络合理论与应用
  • 批准号:
    1404046
  • 财政年份:
    2014
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant
Increasing the Observability of Electrical Distribution Systems using Smart Meters (IOSM)
使用智能电表 (IOSM) 提高配电系统的可观测性
  • 批准号:
    EP/J00944X/1
  • 财政年份:
    2012
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Research Grant
EAGER: Design and synthesis of metal-organic frameworks for efficient hydrogen storage
EAGER:设计和合成用于高效储氢的金属有机框架
  • 批准号:
    1111731
  • 财政年份:
    2011
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant
Collaborative Research: Condensation and Icing at Superhydrophobic Surfaces
合作研究:超疏水表面的凝结和结冰
  • 批准号:
    1000597
  • 财政年份:
    2010
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant
Workshop: Molecular Models for Carbon-Neutral Industrialization : March 25-27, 2010, Palm Springs, CA
研讨会:碳中和工业化的分子模型:2010 年 3 月 25 日至 27 日,加利福尼亚州棕榈泉
  • 批准号:
    0938198
  • 财政年份:
    2010
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant
Theory and application of polyelectrolyte complexation
聚电解质络合理论与应用
  • 批准号:
    0852353
  • 财政年份:
    2009
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Continuing Grant
Thermodynamics for Molecular Engineering
分子工程热力学
  • 批准号:
    0651983
  • 财政年份:
    2007
  • 资助金额:
    $ 103.56万
  • 项目类别:
    Standard Grant

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城市公共空间活力的度量体系与关键性导控元素研究- - 以杭州为例
  • 批准号:
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