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

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)
批准号:
EP/T021969/1
负责人:
Jianzhong Wu
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
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
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.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
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: Software Impacts
影响因子: --
作者: [Asefi S]
通讯作者: Asefi S
DOI: 10.1049/gtd2.12567
发表时间: 2022-08
期刊: IET Generation, Transmission & Distribution
影响因子: --
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
DOI: 10.1016/j.egyr.2022.06.085
发表时间: 2022
期刊: Energy Reports
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
DOI: 10.1109/tec.2020.3044421
发表时间: 2021
期刊: IEEE Transactions on Energy Conversion
影响因子: 4.9
作者: [Bolzoni A]
通讯作者: Bolzoni A
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