Sustainable urban power supply through intelligent control and enhanced restoration of AC/DC networks

通过智能控制和加强交直流网络恢复实现可持续城市供电

• 批准号: EP/T021985/1
• 负责人: Jun Liang
• 金额: $ 77.03万
• 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%2FT021985%2F1
• 关键词: Sustainable; urban; power; supply; through

China remains the world's largest electric car market, and the UK is leading deployment of electric vehicles (EVs) to meet the new net-zero 2050 emission target. Both nations will face challenges in connecting EVs in urban areas due to limited land space, constraints on carrying additional power over traditional transmission lines and challenges in providing reliable power to critical load centres. This proposal identifies areas of common technical challenges and lays out a joint programme to analyse the issues and assess possible solutions.Urban areas are the significant location of critical loads such as hospitals, airports, public transport network and data centres. Fully exploiting the potential transfer capacity and resilience of the urban electricity network with a minimum capital investment is important to citizens and governments as 60% of Chinese population and 83% of UK population live in urban areas. To release the capacity of existing AC lines and to increase the reliability, a combined AC/DC configuration is proposed, and contribution of power electronic materials and converters are considered. Coordinated control of EVs, hybrid AC/DC networks and dispersed generation are investigated to optimise transfer capacity and enhance fault-tolerant operation with the support of Internet-of-Things (IoT) tools to enable an efficient decision-making. Two specific aspects will be investigated: the ability of IoT based data-driven modelling method to enable response services by coordinating dispersed resources in an urban power network and the headroom provided by power converters to accommodate this service. The contribution of IoT in providing useful data that enable the efficient management of urban power network is an emerging paradigm for the realisation of smart cities. As an essential part of daily life, optimal utilisation and reliability of electric energy becomes paramount. However, blackouts affecting the security and stability of the power system is an important issue. EVs storage capacity and optimal scheduling through power converters will be explored and quantified to provide grid support services in the event of an emergency situation. Protection schemes that can achieve fast and reliable identification and isolation with the aids of IoT, EVs and power converters are analysed in detail and re-engineering solutions proposed. Technical challenges from widespread use of dispersed resources connected to urban energy networks will be studied. Data-driven modelling will be applied to urban power systems to characterise the capacity of EVs and distributed generations that will allow two-way communication that transforms conventional networks into more secure networks. Traditional network topologies with the inclusion of power converters will be reassessed to eliminate potentially wasteful energy conversion stages and support flexibility services. Coordinated control of converters and distributed resources with spatial-temporary coupling and edge-cloud collaboration will be developed to make cost-effective, sustainable, resilient and fault-tolerant urban power system operation.The key outputs will be the data-driven modelling and analysis methods that can assess the spatial-temporary relation between distributed resources and urban electricity network (useful to system operators and equipment vendors); engineering solutions to map the capability of vehicle to grid services; optimal scheduling using power converters in the event of an emergency situation (useful to system operators, equipment vendors and EV owners); and verification through real-time simulation and scaled laboratory test systems. The main work programme will be conducted through international partnership with 1 China research institute, 2 China universities and 2 UK universities. Researchers involved in the project will benefit from the unique international collaboration and training.

中国仍然是世界上最大的电动汽车市场，英国正在领导电动汽车（EVS）的部署，以实现新的零2050净排放目标。由于土地空间有限，在为传统传输线携带额外权力的限制以及为关键负载中心提供可靠的权力时，两国将面临在城市地区连接电动汽车的挑战。该提案确定了常见的技术挑战领域，并制定了一个联合计划来分析问题并评估可能的解决方案。城市地区是关键负荷的重要位置，例如医院，机场，公共交通网络和数据中心。完全利用最低资本投资的城市电力网络的潜在转移能力和弹性对公民和政府来说很重要，因为中国人口的60％，英国83％的人口居住在城市地区。为了释放现有交流线的容量并提高可靠性，提出了联合的AC/DC配置，并考虑了电力电子材料和转换器的贡献。研究了对电动汽车，混合AC/DC网络和分散生成的协调控制，以优化转移能力并通过支持工​​具（IoT）工具来优化转移能力并增强耐断层的操作，以实现有效的决策。将研究两个具体方面：基于IoT的数据驱动建模方法的能力通过协调城市电力网络中的分散资源以及Power Converters提供的净空来实现响应服务的能力。物联网在提供有用的数据以有效管理城市电力网络方面的贡献是实现智能城市的新兴范式。作为日常生活的重要组成部分，电能的最佳利用率和可靠性变得至关重要。但是，停电影响电源系统的安全性和稳定性是一个重要问题。将探索和量化通过电力转换器的EV存储容量和最佳计划，以便在紧急情况下提供网格支持服务。提出了详细分析和重新设计解决方案，可以通过物联网，电动汽车和电力转换器的辅助工具实现快速可靠的识别和隔离的保护方案。将研究广泛使用与城市能源网络连接的分散资源所面临的技术挑战。数据驱动的建模将应用于城市电力系统，以表征电动汽车和分布式世代的能力，这将允许将传统网络转换为更安全的网络的双向通信。传统的网络拓扑以及包括电源转换器的包含的传统网络拓扑将被重新评估，以消除潜在的浪费能量转换阶段并支持灵活性服务。将开发对使用空间 - 周期耦合和边缘云协作的转换器和分配资源的协调控制，以使成本效益，可持续性，耐受性和耐受性的城市电力系统运行能够进行成本效益，可持续性，韧性和耐受性的城市电力系统操作。关键输出将是数据驱动的建模和分析方法，这些模型和分析方法可以评估空间关系的资源和典型的运营商（有用的设备）（有用的系统）;工程解决方案以绘制车辆到电网服务的能力；在紧急情况下使用电源转换器的最佳调度（对系统操作员，设备供应商和电动汽车所有者有用）；并通过实时模拟和规模的实验室测试系统进行验证。主要工作计划将通过与1所中国研究所，2所中国大学和2所英国大学的国际合作伙伴关系进行。参与该项目的研究人员将受益于独特的国际合作和培训。

项目成果

Analytical Model for Availability Assessment of Large-Scale Offshore Wind Farms Including Their Collector System

• DOI: 10.1109/tste.2021.3075182
• 发表时间: 2021-04
• 期刊: IEEE Transactions on Sustainable Energy
• 影响因子: 8.8
• 作者: Gayan Abeynayake;T. Van Acker;D. Hertem;Jun Liang

Reliability and Cost-Oriented Analysis, Comparison and Selection of Multi-Level MVdc Converters

• DOI: 10.1109/tpwrd.2021.3051531
• 发表时间: 2021-01
• 期刊: IEEE Transactions on Power Delivery
• 影响因子: 4.4
• 作者: Gayan Abeynayake;Gen Li;T. Joseph;Jun Liang;Wenlong Ming

Power Control Strategy for Cascaded 3L-NPC Converters Considering Thermal Conditions

• DOI: 10.1109/ieses53571.2023.10253741
• 发表时间: 2023-07
• 期刊: 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)
• 作者: Jinlei Chen;Wenlong Ming;Sheng Wang;Jun Liang;I. Lüdtke

IoTSim-Osmosis: A framework for modeling and simulating IoT applications over an edge-cloud continuum

• DOI: 10.1016/j.sysarc.2020.101956
• 发表时间: 2021-05-14
• 期刊: JOURNAL OF SYSTEMS ARCHITECTURE
• 影响因子: 4.5
• 作者: Alwasel, Khaled;Jha, Devki Nandan;Ranjan, Rajiv
• 通讯作者: Ranjan, Rajiv

A nonunit two-stage protection scheme for DC transmission lines in high-voltage DC grids

• DOI: 10.1016/j.ijepes.2022.108742
• 发表时间: 2023
• 期刊: International Journal of Electrical Power & Energy Systems
• 作者: Yanxun Guo;Zhuang Xu;Yaoqiang Wang;Xiaomei Yao;Jun Liang