Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control

开发可扩展的智能电网基础设施以实现安全的传输系统控制

• 批准号: EP/K006487/1
• 负责人: Gareth Taylor
• 金额: $ 85.49万
• 依托单位: Brunel University London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK006487%2F1
• 关键词: Developing; Scalable; Smart; Grid; Infrastructure

In the UK, as the GB transmission operator, National Grid has established the 'Gone Green' scenario, which results in 35% of UK electricity being sourced from renewable energy sources by 2020, such as intermittent and highly variable wind power for example, compared with about 6-7% today. Therefore, in the UK National Grid will face significant operational challenges over the next decade and beyond. Similarly in the Guangzhou province of China there now already exists one of the most technologically advanced and operationally complex transmission systems in the world. From 2005 onwards China Southern Power Grid has already experienced operationally complex challenges due to the impact of large-scale renewable energy source deployment on the transmission system.It is clear that similar operational challenges, as faced in the UK by the GB transmission system operator, are also being faced by transmission network operators in China and also in other parts of the world. Decision making in transmission system control centres is becoming more complex and control room actions are required in reducing timescales and with greater reliance on more accurate risk assessment in the future in order to enable optimal operation of transmission systems.The proposed collaborative interdisciplinary smart grids research will investigate and develop scalable tools on secure high performance computing platforms that support large-scale, interoperable near to real-time data processing and data mining methods. Novel near to real-time simulation techniques and computational analysis will be investigated with regard to deployment and performance at high computational speeds, using novel scalable tools and infrastructure such as trusted cloud computing platforms or dedicated cluster computing platforms. Recent developments in secure cloud computing that exploit improved processor, chipset and platform-level security will be investigated and developed to provide protected computational environments such that critical applications cannot be compromised. The novel smart grid tools and techniques that will be developed in this project can provide and support much faster actions to securely control more complex transmission systems in shorter time scales and therefore accommodate greater renewable energy sources on an operational basis in such future transmission systems.Transmission system operators in the UK, China and other parts of the world will benefit considerably from the future availability of such scalable, high performance and secure tools when operating more complex future transmission systems that accommodate greater amounts of renewable energy resources in 2020 and beyond, as they will be able to securely accommodate larger amounts of intermittent renewable energy sources and thereby enable the decarbonisation of the electricity supply industry in line with 2020 targets.

在英国，作为英国的输电网运营商，国家电网已经确立了“走向绿色”的设想，到2020年，英国35%的电力将来自可再生能源，例如间歇性和高度多变的风力发电，而目前这一比例约为6%-7%。因此，在英国，国家电网在未来十年及以后将面临巨大的运营挑战。同样，在广州市中国，现在已经有了世界上技术最先进、操作最复杂的输电系统之一。从2005年起，由于可再生能源的大规模部署对输电系统的影响，中国南方电网已经经历了复杂的运营挑战。显然，与英国传输系统运营商所面临的类似运营挑战，中国和世界其他地区的传输网络运营商也面临着类似的挑战。输电系统控制中心的决策正变得越来越复杂，未来需要控制室采取行动来减少时间尺度，并更多地依赖更准确的风险评估，以实现输电系统的最佳运行。拟议的跨学科协作智能电网研究将在安全的高性能计算平台上调查和开发可扩展的工具，以支持大规模、可互操作的近实时数据处理和数据挖掘方法。将使用新的可扩展工具和基础设施，如可信云计算平台或专用集群计算平台，研究在高计算速度下的部署和性能方面的新的接近实时的模拟技术和计算分析。将调查和开发利用改进的处理器、芯片组和平台级安全性的安全云计算的最新发展，以提供受保护的计算环境，使关键应用程序不会受到攻击。该项目将开发的新型智能电网工具和技术可以提供和支持更快的行动，以在更短的时间尺度内安全地控制更复杂的输电系统，从而在未来的输电系统中容纳更多的可再生能源。英国、中国和世界其他地区的输电系统运营商在运行更复杂的未来输电系统时，将从这种可扩展、高性能和安全的工具的未来可获益匪浅，因为它们将能够安全地容纳更多的间歇性可再生能源，从而使电力供应行业能够按照2020年的目标实现脱碳。

项目成果

A critical evaluation of the application of HVDC supplementary control for system stability improvement

• DOI: 10.1109/powercon.2014.6994003
• 发表时间: 2014-10
• 期刊: 2014 International Conference on Power System Technology
• 作者: M. M. Alamuti-M.;R. Rabbani;S. K. Kerahroudi;G. Taylor;You-bo Liu;Junyong Liu

Power system reliability evaluation considering substation interior under protection failure impact

• DOI: 10.1109/powercon.2014.6993630
• 发表时间: 2014-12
• 期刊: 2014 International Conference on Power System Technology
• 作者: Chen Chen-Chen;Junyong Liu;G. Taylor;Mohsen Mohammadi;Chuang Deng

Transient event detection and analysis of the GB transmission system using synchrophasor measurements

使用同步相量测量对 GB 传输系统进行瞬态事件检测和分析

• DOI: 10.1109/upec.2013.6714934
• 发表时间: 2013
• 作者: Ashton P

System stability improvement through HVDC supplementary Model Predictive Control

通过 HVDC 补充模型预测控制提高系统稳定性

• DOI: 10.1109/upec.2014.6934683
• 发表时间: 2014
• 作者: Alamuti M

A novel VSC HVDC active power control strategy to improve AC system stability

一种提高交流系统稳定性的新型VSC HVDC有功功率控制策略

• DOI: 10.1109/pesgm.2014.6939222
• 发表时间: 2014
• 作者: Alamuti M