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: CARDIFF UNIVERSITY
• 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
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT021969%2F1
• 关键词: Multi; energy; Control; Cyber; Physical

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的经济、社会和环境绩效方面发挥着至关重要的作用。中国有许多密集的新建城市地区，可再生能源的空间有限，但恢复力和清洁能源以及更少的空气污染是关键问题。英国拥有传统的城市能源基础设施，脱碳是优先事项。所有这些挑战将对城市能源系统的负荷需求和分布式发电提出前所未有的要求。尽管英国和中国城市能源系统发展的驱动力和目标不同，但可持续、经济和可靠的城市电力供应是两国的主要研究课题之一。本项目将重点关注可持续电力供应的新方法，并将解决以下两个关键研究挑战，每个挑战都有相关的目标。(1)传统的城市供电控制方法没有解决城市能源系统的测量和控制增加所带来的新机会，没有考虑其他能源矢量提供的灵活性，也没有主动和自适应地处理与快速发展的城市能源系统相关的不可避免的不确定性;以及（2）当前的城市能源系统依赖于具有低弹性的外部大容量电力供应，即，外部电力供应中断将具有灾难性后果，并且从这种异常事件恢复供应将是困难且耗时的。不同能量矢量的耦合以最大化系统集成的益处必须与电力网络的解耦相协调（创建可孤岛化的城市能源系统），以通过维持对未发生故障的城市地区的能源供应来提高系统的弹性。该项目的目标是联合收割机结合英国和中国领先机构的研究优势，以应对上述挑战，并：（1）研究城市能源系统的多区域、多能源演化系统和控制体系。数字孪生模型将被用于建模和分析连接到城市电网的每个多能源系统。它们的系统耦合和系统集成潜力将被识别，灵活性供应将被量化;（2）基于每个多能源系统和网络测量的数字孪生，开发一种新的方法，用于城市能源系统的当前态势感知和未来态势预测;（3）研究在中压（MV）电网中使用软开放点的不同城市区域的智能互联，实时和弹性的电力流控制，以及使用分布式账本技术（DLT）实现完全分散的基于信任的控制的多个参与者的智能互联;（4）制定城市能源系统多能源控制策略，它采用态势感知和智能互联方法，通过建立协调控制和能源孤岛，显着提高城市能源系统的性能和弹性能力;以及（5）使用硬件在环（HiL）测试设备和选定的案例研究来验证所提出的多能量控制的有效性，并提供成本效益分析（CBA）。MC2项目将为2030 - 2050年的可持续城市电力供应的未来提供战略方向，并提供替代网络控制的方法和技术，以促进经济高效地向弹性，负担得起，低碳甚至净零的未来发展。互补的跨国专业知识将使我们能够以大幅降低的成本，时间和精力进行具有挑战性的研究。两国的相互促进将确保我们的研究对发达国家和发展中国家都有价值。

项目成果

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
• 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: IET Generation, Transmission & Distribution
• 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: Energy Reports
• 影响因子: 5.2
• 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

Fine-grained Dynamics Representation and Stability Analysis for MMC-based Hybrid AC/DC Power Systems

• 发表时间: 2022-09
• 期刊: 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe)
• 作者: J. Cao;C. Dong;Qian Xiao;Marui Li;Xiaodan Yu;H. Jia