Research on Risk Warning System of Distribution Network

被引:0
|
作者
Zhang, Yu [1 ]
Zhang, Tianshu [1 ]
Song, Xiaohui [1 ]
Sheng, Wanxing [1 ]
Meng, Xiaoli [1 ]
机构
[1] China Elect Power Res Inst, Power Distribut Dept, Beijing 100192, Peoples R China
关键词
Risk identification; Risk assessment; Risk warning; Risk factor; Risk type;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
To improve the operation security and reliability of distribution network, correct, effective, reasonable risk analysis, assessment and warning will be used to provide reference. Firstly, considering the risk factor in distribution network, risk type in distribution network is concluded in this paper. Risk in distribution network is classified from different research content, different research purpose and different research time stage. Secondly, based on the risk mechanism, risk identification concept is proposed. Combine risk identification and risk assessment to build a multi-level, multi-objective risk warning system. Then, risk identification and risk assessment theory, implementation steps and indicators are analyzed in detail. Take overload risk identification as an example, multi-stage risk identification method proposed in the paper is verified by simulation. Finally, the difference between risk assessment and risk identification technology is summarized in the paper. Therefore, only combine risk identification technology and risk assessment technology, risk warning can be realized.
引用
收藏
页码:1509 / 1514
页数:6
相关论文
共 50 条
  • [1] Research on Risk Assessment and Early Warning in Active Distribution Network
    Li, Tianyou
    Huang, Chaoyi
    Zhao, Huiru
    [J]. 2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2016,
  • [2] Research of flood disaster risk analysis and warning system
    Liu Yongzhi
    Zhang Wenting
    Cui Xinmin
    Zhan Guodong
    Meng Bobo
    [J]. DISASTER ADVANCES, 2012, 5 (04): : 1068 - 1071
  • [3] Research on the early warning system of regional financial risk
    Lin, Xiaowei
    Peng, Yaqin
    [J]. International Journal of Industrial and Systems Engineering, 2022, 41 (03) : 404 - 415
  • [4] Research on Fault Early Warning method of Medium Voltage Distribution Network
    Xie, Xinlin
    Lu, Jue
    Xian, Pengfei
    Zhang, Haitao
    Lan, Wenjun
    Bu, Chenglang
    Sun, Yunlian
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 1, 2019, : 102 - 105
  • [5] Research and Design of Distribution Equipment Health Early Warning System
    Chen, Lei
    Yu, Huihua
    Tong, Li
    Jin, Peipei
    Zheng, Weiyan
    Huai, Xu
    Huang, Yu
    [J]. ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2020, PT I, 2020, 12452 : 579 - 590
  • [6] Research on the Safety Risk Structure and Early Warning System of Agriculture
    Xi, Weidong
    Sun, Yonghai
    Tian, Xiaona
    Wang, Hongying
    Jin, Qingfen
    [J]. INTERNATIONAL CONFERENCE ON AGRICULTURAL RISK AND FOOD SECURITY 2010, 2010, 1 : 462 - 468
  • [7] The financial risk index system and early-warning research
    Zhu Honghan
    Liu Xiangyun
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015), 2015, 15 : 443 - 447
  • [8] Research on early warning system for foreign capital utilization risk
    Lu, Yuduo
    Li, Dan
    Wang, Wenshi
    [J]. JOURNAL OF CHINESE ECONOMIC AND FOREIGN TRADE STUDIES, 2009, 2 (01) : 62 - 75
  • [9] An early warning monitoring system for quality control in a water distribution network
    Guercio, R.
    Di Ruzza, E.
    [J]. WATER RESOURCES MANAGEMENT IV, 2007, 103 : 143 - +
  • [10] Research on spectrum and early-warning parameters of urban water distribution network
    Sun, Li-Guo
    Zhou, Yu-Wen
    Xie, Wen-Feng
    [J]. Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology, 2010, 36 (10): : 1381 - 1388