Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids

微电网二次控制系统中攻击检测和缓解的网络物理方法

基本信息

  • 批准号:
    RGPIN-2019-06312
  • 负责人:
  • 金额:
    $ 2.04万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

To facilitate the rapidly increasing penetration of renewable-based distributed generations in power distribution systems, microgrids which can operate independently or in conjunction with their main distribution grids have been implemented. A microgrid has a hierarchical control structure including primary control, secondary control and tertiary control. For the seamless re-connection and disconnection of a microgrid to the main grid, voltage and frequency deviations have to be removed by secondary control which can be designed in either centralized or distributed structure. Both the centralized and distributed secondary control in microgrids involve the exchange of measurements and control signals among controllers through open networks. While supporting the data transmission in microgrids, these open networks also expose microgrids' secondary control systems to cyber attacks. The consequences of malicious attacks on power systems could result in large-scale blackouts and seriously affect human beings and the environment. To secure control systems of smart grids from cyber attacks, technical challenges on developing defense-in-depth security approaches for smart grids are still wide open, such as a deep understanding the interaction of cyber-system events and power system dynamics, new intrusion detection mechanisms and advanced mitigation approaches. The proposed research is to develop new cyber-physical solutions to these cyber security challenges in microgrid secondary control systems. The cyber-physical solutions will leverage a deep understanding of the intertwining relationship of cyber-system actions and physical-system dynamics in microgrids. The proposed cyber-physical approaches for attack detection and mitigation will help to improve the resiliency of electrical power systems (specifically microgirds) to cyber attacks and thus ensure their safe operation. This research could also bring benefits to the cyber security industry of smart grids in Canada by commercializing the proposed attack detection and mitigation algorithms as innovative intrusion detection and mitigation systems. Highly qualified engineers and researchers with multidisciplinary knowledge including control engineering, information technology and power systems will be trained for building stronger smart grids for Canada throughout this program.
为了促进在电源分配系统中基于可再生的分布式世代快速增加的渗透,已经实施了可以独立运行或与其主要分布网格结合使用的微电网。微电网具有分层控制结构,包括主要控制,二级控制和第三级控制。为了使微电网与主网格的无缝重新连接和断开连接,必须通过二级控制去除电压和频率偏差,该次级控制可以在集中式或分布式结构中设计。微电网中的集中式二级控制均涉及通过开放网络之间控制器之间的测量和控制信号的交换。在支持微电网中的数据传输的同时,这些开放网络还将微电网的二级控制系统暴露于网络攻击中。恶意攻击对电力系统的后果可能导致大规模停电,并严重影响人类和环境。 为了保护智能电网的控制系统免于网络攻击,针对智能电网开发防御性安全方法的技术挑战仍然是广泛的,例如深入了解网络系统事件和电力系统动态的相互作用,新的入侵检测机制和高级缓解方法。拟议的研究是针对微电网二级控制系统中的这些网络安全挑战开发新的网络物理解决方案。网络物理解决方案将利用对微电网中网络系统作用和物理系统动态的相互交织关系的深入了解。 提出的用于攻击检测和缓解措施的网络物理方法将有助于提高电力系统(特别是微型鸟类)对网络攻击的弹性,从而确保其安全的操作。这项研究还可以通过将拟议的攻击检测和缓解算法作为创新的入侵检测和缓解系统商业化,从而为加拿大智能电网的网络安全行业带来好处。高素质的工程师和具有多学科知识的研究人员(包括控制工程,信息技术和电力系统)将在整个计划中为加拿大建立更强大的智能电网培训。

项目成果

期刊论文数量(0)
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Liu, Shichao其他文献

Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions
Do We Overestimate the Impact of Carbon Dioxide on Cognition and Decision-Making?: Preliminary Evidence
我们是否高估了二氧化碳对认知和决策的影响?:初步证据
Solidification microstructure evolution and its corresponding mechanism of metastable immiscible Cu80Fe20 alloy with different cooling conditions
不同冷却条件下亚稳态难混溶Cu80Fe20合金凝固组织演化及其相应机制
  • DOI:
    10.1016/j.jallcom.2018.01.306
  • 发表时间:
    2018-04-25
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Liu, Shichao;Jie, Jinchuan;Li, Tingju
  • 通讯作者:
    Li, Tingju
A multimodal deep learning framework for predicting drug-drug interaction events
用于预测药物相互作用事件的多模式深度学习框架。
  • DOI:
    10.1093/bioinformatics/btaa501
  • 发表时间:
    2020-08-01
  • 期刊:
  • 影响因子:
    5.8
  • 作者:
    Deng, Yifan;Xu, Xinran;Liu, Shichao
  • 通讯作者:
    Liu, Shichao
Efficient generation of mouse ESCs-like pig induced pluripotent stem cells.
  • DOI:
    10.1007/s13238-014-0043-2
  • 发表时间:
    2014-05
  • 期刊:
  • 影响因子:
    21.1
  • 作者:
    Gu, Qi;Hao, Jie;Hai, Tang;Wang, Jianyu;Jia, Yundan;Kong, Qingran;Wang, Juan;Feng, Chunjing;Xue, Binghua;Xie, Bingteng;Liu, Shichao;Li, Jinyu;He, Yilong;Sun, Jialu;Liu, Lei;Wang, Liu;Liu, Zhonghua;Zhou, Qi
  • 通讯作者:
    Zhou, Qi

Liu, Shichao的其他文献

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{{ truncateString('Liu, Shichao', 18)}}的其他基金

Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids
微电网二次控制系统中攻击检测和缓解的网络物理方法
  • 批准号:
    RGPIN-2019-06312
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids
微电网二次控制系统中攻击检测和缓解的网络物理方法
  • 批准号:
    RGPIN-2019-06312
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids
微电网二次控制系统中攻击检测和缓解的网络物理方法
  • 批准号:
    DGECR-2019-00262
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Launch Supplement
Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids
微电网二次控制系统中攻击检测和缓解的网络物理方法
  • 批准号:
    RGPIN-2019-06312
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual

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微电网二次控制系统中攻击检测和缓解的网络物理方法
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    RGPIN-2019-06312
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    Discovery Grants Program - Individual
Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids
微电网二次控制系统中攻击检测和缓解的网络物理方法
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    RGPIN-2019-06312
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微电网二次控制系统中攻击检测和缓解的网络物理方法
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