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Converged Approach towards Resilient Industrial control systems and Cyber Assurance (CAPRICA)

Converged Approach towards Resilient Industrial control systems and Cyber Assurance (CAPRICA)
弹性工业控制系统和网络保障的融合方法 (CAPRICA)
批准号:
EP/M002837/1
负责人:
Sakir Sezer
金额:
$50.24万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
Energy production and distribution is undergoing radical change driven by a "Green" agenda pushing for increased energy conservation, greater emphasis on renewable energy sources and more sophisticated demand side business models. The UK currently has 12% of its energy requirements met by wind farms. This percentage is set to grow as wind generated electricity is imported from neighbouring countries. For example Ireland (where already 50% of domestic energy requirements are met by wind farms) will become a net exporter of wind generated electricity in the near future. The significance of this market change cannot be underestimated and will lead to broad infrastructural change. Wind generated electricity is bursty in nature, largely unpredictable and seldom occurs when consumer demand is greatest. This is true of most renewable energy sources. Wind farms are typically sited in remote areas of low population density and collectively represent a highly distributed generation source. This is in stark contrast to the traditional grid which can be characterised as a strictly hierarchical, centrally managed network of carbon or nuclear energy fuelled generators which can accurately predict demand side requirements and vary their output accordingly.Grid infrastructure and methods of operation will change radically in order to accommodate new, distributed, renewable energy generation and a growing population of prosumers - retail customers who consume and produce energy in tandem. The technical challenges are manifold and many of the assumptions underpinning traditional grid operations are rapidly dissolving. Energy network operators urgently need new guidance and direction to meet the dual challenges of:1. Maintaining operational control over new, highly distributed generation facilities embedded in a prosumer driven, highly connected, ICT dependent, grid infrastructure.2. Implementing sufficient control measures to protect grid operations from Internet borne threats and attacks.Caprica meets these challenges head on and proposes to investigate the phenomena of synchronous islanding via experimentation on the only large scale synchrophasor network available in the UK. Islanding occurs when a geographic portion of the distribution network becomes electrically isolated from the rest of the grid. Reconnecting an island back onto the grid can be very dangerous if the two portions of the network are not properly synchronised. Phase drift is a likely scenario for a self-powered island driven by wind or other renewable generation sources. The QUB EPIC team have been working on this problem and can demonstrate solutions based on a distributed control architecture using synchrophasor measurement devices. The synchrophasors operate over a public telecoms network which immediately leads to cyber vulnerabilities in the grid control system. A cyber-attack which manipulates synchrophasor measurements could cause untold damage to grid infrastructure and consumer equipment on a national scale. To counter this risk the EPIC and CSIT research groups have come together to collaboratively investigate the control and cyber security elements of synchronous islanding. By providing an integrated view of grid status and cyber defences we will demonstrate improved operational decision making, improved grid resilience in the face of cyber attack, and lay the groundwork for a new distributed control architecture for the UK smartgrid.
期刊论文(10)
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会议论文
A laboratory experiment of single machine synchronous islanding using PMUs and Raspberry Pi - A platform for multi-machine islanding
使用PMU和Raspberry Pi进行单机同步孤岛的实验室实验 - 多机孤岛平台
DOI: 10.1109/pesgm.2016.7741761
发表时间: 2016
期刊:
影响因子: --
作者: [Jacobsen M]
通讯作者: Jacobsen M
A Heuristic, Self-Adjusting Flow Control Mechanism for Sensor Data in Real-Time Applications
实时应用中传感器数据的启发式自调节流量控制机制
DOI: --
发表时间: 2016
期刊:
影响因子: --
作者: [Hastings, JC]
通讯作者: Hastings, JC
DOI: 10.1109/isgteurope.2017.8260283
发表时间: 2017-09
期刊: 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
影响因子: --
作者: [Rafiullah Khan;K. Mclaughlin;D. Laverty;S. Sezer]
通讯作者: Rafiullah Khan;K. Mclaughlin;D. Laverty;S. Sezer
Technique for pre-compliance testing of phasor measurement units
相量测量单元预一致性测试技术
DOI: 10.1016/j.ijepes.2018.01.031
发表时间: 2018
期刊: International Journal of Electrical Power & Energy Systems
影响因子: 5.2
作者: [Brogan P]
通讯作者: Brogan P
10
    Network in Internet and Mobile Malicious Software (NIMBUS)
    • 批准号:
      EP/K003445/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $12.79万
    • 财政年份:
      2012
    • 负责人:
      Sakir Sezer
    • 依托单位:
    Accelerated Real-Time Information Extraction System (ARIES)
    • 批准号:
      EP/J020540/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $32.18万
    • 财政年份:
      2012
    • 负责人:
      Sakir Sezer
    • 依托单位:
    国内基金
    海外基金
    EnSite array指导下对Stepwise approach无效的慢性房颤机制及消融径线设计的实验研究
    • 批准号:
      81070152
    • 项目类别:
      面上项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2010
    • 负责人:
      唐恺
    • 依托单位: