Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)

电力和能源系统运行数字化 (DEEPS)

• 批准号: MR/W011360/2
• 负责人: Xin Zhang
• 金额: $ 178.07万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FW011360%2F2
• 关键词: Digitalisation; Electrical; Power; Energy; Systems

Electrical power and energy systems represent critical national infrastructure that interoperates with wider economic sectors including transport, communications, agriculture, manufacturing, construction and education. Reliable power system operation is the key in ensuring the electricity generated from various energy sources can travel in a secure way to meet the electrical loads of those sectors. Reliable power system operation will greatly impact the social comfort of people's lives as well as the healthy growth of the UK economy. Electrical power and energy systems will be key to meet legally binding 100% decarbonisation of overall energy usage in the UK. As a consequence, the large scale of low-carbon and renewable energy sources (RES) such as wind and solar, together with electric vehicles, energy storage and smart grids are integrated into the top and tail of future power systems. These new technologies are fundamentally changing the way power systems operate with complex infrastructure and highly dispersed RES. The increasing size and complexity of electrical power and energy systems require advanced monitoring, modelling and control techniques to handle major disturbances such as blackouts. In August 2019, around 1 million homes lost power due to a series of events on the GB power system with high penetration of RES under extreme weather impacts. The UK has rich RES and ambitious net zero targets, but its power systems are geographically islanded from the mainland with limited undersea cable connections, reduced system "strength" due to many small RES replacing large centrally controlled power plants, making the GB power systems more "brittle" and "volatile" under the major system events. The Fellow will take an industry focused approach to investigate the fundamental modelling methods and advanced simulation tools to address the challenges in real-time power system operation with up to 100% low-carbon and RES. A key novelty of this Fellowship is to understand the fundamental interdependency and interoperability of various energy systems and entities, and across transmission, distribution and renewable system operators. This will include novel development of whole system modelling approaches and applications of digital simulation techniques into the future power system operation. The Fellowship development will be based on the Fellow's highly relevant industry experience in Electricity National Control as well as research expertise in renewable power system operation. The Fellow will work with electricity system operators at the whole system level (transmission, distribution, renewables) and is supported by market-leading digital technology industry partners. Prototype applications will be demonstrated in power systems and computing facilities at Brunel University London, with further deployment to energy management systems at industrial scales. The investigation, development, demonstration and deployment of advanced power system models, tools and techniques will provide cost-effective and scalable simulation platforms to wider industry and academic communities. The research and innovation outcomes of the Fellowship will be expected to better monitoring and managing of power systems as well as maintaining the control and optimisation of power grid reliability. This will assist in achieving the UK net zero emissions target through the energy transition of digitalisation, decarbonisation and decentralisation.With support from UKRI and host institution the Fellow will develop into a Future Leader in the field of power and energy systems digitalisation, by working with eight industrial partners in power systems engineering and digital technologies, three internationally respected research and engineering societies, and accessing mentors from academia and industry. The Fellowship will plan intensive training activities across academia and industry, as well as building Fellow's research and innovation networks.

电力和能源系统是重要的国家基础设施，与运输、通信、农业、制造、建筑和教育等更广泛的经济部门互操作。电力系统的可靠运行是确保各种能源产生的电力能够安全输送以满足这些部门的电力负荷的关键。电力系统的可靠运行将极大地影响人们生活的社会舒适度以及英国经济的健康发展。电力和能源系统将是实现英国整体能源使用具有法律约束力的 100% 脱碳的关键。因此，风能、太阳能等大规模低碳和可再生能源（RES）与电动汽车、储能和智能电网一起被纳入未来电力系统的顶部和尾部。这些新技术正在从根本上改变电力系统在复杂基础设施和高度分散的可再生能源中的运行方式。电力和能源系统的规模和复杂性不断增加，需要先进的监测、建模和控制技术来处理停电等重大干扰。 2019 年 8 月，由于可再生能源渗透率高的英国电力系统在极端天气影响下发生一系列事件，约 100 万户家庭断电。英国拥有丰富的可再生能源和雄心勃勃的净零目标，但其电力系统在地理位置上与大陆隔绝，海底电缆连接有限，由于许多小型可再生能源取代大型中央控制发电厂，降低了系统“强度”，使得英国电力系统更加脆弱重大系统事件下的“脆弱”和“不稳定”。该研究员将采用以行业为中心的方法来研究基本建模方法和先进的仿真工具，以应对高达 100% 低碳和可再生能源的实时电力系统运行的挑战。该奖学金的一个主要新颖之处是了解各种能源系统和实体以及输电、配电和可再生能源系统运营商之间的基本相互依赖性和互操作性。这将包括整个系统建模方法的新颖开发以及数字仿真技术在未来电力系统运行中的应用。该奖学金的发展将基于该研究员在电力国家控制方面高度相关的行业经验以及可再生能源系统运营方面的研究专业知识。该研究员将与整个系统层面（输电、配电、可再生能源）的电力系统运营商合作，并得到市场领先的数字技术行业合作伙伴的支持。原型应用将在伦敦布鲁内尔大学的电力系统和计算设施中进行演示，并进一步部署到工业规模的能源管理系统中。先进电力系统模型、工具和技术的调查、开发、演示和部署将为更广泛的行业和学术界提供经济高效且可扩展的仿真平台。该奖学金的研究和创新成果将有望更好地监测和管理电力系统，以及维持电网可靠性的控制和优化。这将有助于通过数字化、脱碳和去中心化的能源转型实现英国净零排放目标。在 UKRI 和主办机构的支持下，该研究员将通过与以下机构合作，发展成为电力和能源系统数字化领域的未来领导者电力系统工程和数字技术领域的八个工业合作伙伴、三个国际知名的研究和工程协会，以及来自学术界和工业界的导师。该奖学金将计划跨学术界和工业界的强化培训活动，并建立奖学金的研究和创新网络。

项目成果

Virtual-physical power flow method for cyber-physical power system contingency and vulnerability assessment

信息物理电力系统应急与脆弱性评估的虚拟物理潮流方法

• DOI: http://dx.10.1049/stg2.12143
• 发表时间: 2023
• 期刊: IET Smart Grid
• 影响因子: 2.3
• 作者: Qiu D

Secure Particle Filtering With Paillier Encryption-Decryption Scheme: Application to Multi-Machine Power Grids

使用 Paillier 加密解密方案进行安全粒子过滤：在多机电网中的应用

• DOI: http://dx.10.1109/tsg.2023.3271949
• 发表时间: 2024
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Qu B

A Review on Defense Mechanism against the Denial of Service and False Data Injection in Cyber-Physical Power Systems

信息物理电力系统拒绝服务和虚假数据注入防御机制综述

• DOI: http://dx.10.1109/cieec58067.2023.10166959
• 发表时间: 2023
• 作者: Zhou Z