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文章摘要
计及风险扩散的智能变电站二次系统风险评估模型
Risk assessment model for secondary systems of smart substation considering risk diffusion
Received:November 07, 2019  Revised:November 07, 2019
DOI:10.19753/j.issn1001-1390.2020.24.009
中文关键词: 智能变电站  继电保护系统  风险评估  风险扩散  复杂网络  信息流  相依网络
英文关键词: smart  substation, protection  system, risk  assessment, risk  diffusion, complex  network, information  flow, dependent  network
基金项目:国家自然科学基金(51877084);国家重点研发计划专项课题(2016YFB0900203);河北省自然科学基金项目(E2018502063)
Author NameAffiliationE-mail
DAI Zhihui* Hebei Key Laboratory of Distributed Energy Storage and Microgrid,North China Electric Power University zhdai@ncepu.edu.cn 
HAN Jianshuo Hebei Key Laboratory of Distributed Energy Storage and Microgrid,North China Electric Power University 20170631@163.com 
QIU Xiaoqiang Hebei Key Laboratory of Distributed Energy Storage and Microgrid,North China Electric Power University protecter.hapy@163.com 
GENG Hongxian Hebei Key Laboratory of Distributed Energy Storage and Microgrid,North China Electric Power University dianli_wo123@163.com 
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中文摘要:
      智能变电站中引进智能电子设备和虚端子连接,促使在二次系统风险评估时需对智能电子设备间交互关系和智能站二次系统风险扩散过程进行深入研究。基于此,结合二次系统信息流和继电保护逻辑,建立基于功能关联的装置间依赖网络模型,以及保护进程-装置依赖网络模型;并根据部分装置发生故障风险后引发的风险扩散过程,建立二次系统风险扩散模型。最后基于保护系统算例,运用MATLAB仿真分析得到二次系统风险扩散的特征,并从保护系统规模、风险恢复参数和误操作角度对二次系统进行了风险评估,验证了文中所提模型与方法的有效性。
英文摘要:
      The introduction of intelligent electronic equipment and virtual terminal connections in smart substations makes it necessary to conduct in-depth research on information interaction of intelligent electronic equipment and risk diffusion process of secondary systems of smart substation during the secondary system risk assessment. Based on this, combined with secondary-system information flow and protection logic, the network models reflecting the dependence between devices, as well as between the protection process and protective devices were established based on function correlation. Subsequently, a secondary-system risk diffusion model is established according to the risk diffusion process caused by the failure of certain devices. Finally, based on a case study of the protective system, the risk diffusion characteristics were obtained via MATLAB simulations, and the risk assessment is carried out considering system scale, risk recovery parameters and misoperations. The results verify the proposed method.
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