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Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control

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:
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
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
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.
期刊论文(10)
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会议论文
DOI: 10.1109/powercon.2014.6994003
发表时间: 2014-10
期刊: 2014 International Conference on Power System Technology
影响因子: --
作者: [M. M. Alamuti-M.;R. Rabbani;S. K. Kerahroudi;G. Taylor;You-bo Liu;Junyong Liu]
通讯作者: M. M. Alamuti-M.;R. Rabbani;S. K. Kerahroudi;G. Taylor;You-bo Liu;Junyong Liu
DOI: 10.1109/powercon.2014.6993630
发表时间: 2014-12
期刊: 2014 International Conference on Power System Technology
影响因子: --
作者: [Chen Chen-Chen;Junyong Liu;G. Taylor;Mohsen Mohammadi;Chuang Deng]
通讯作者: 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
期刊:
影响因子: --
作者: [Ashton P]
通讯作者: 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
期刊:
影响因子: --
作者: [Alamuti M]
通讯作者: Alamuti M
10
    Advanced Dynamic Energy Pricing and Tariffs (ADEPT)
    • 批准号:
      EP/I000119/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $38.72万
    • 财政年份:
      2011
    • 负责人:
      Gareth Taylor
    • 依托单位:
    国内基金
    海外基金
    Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis