Real-time Dispatching Operation Risk Assessment Based on Fault Tree Theory

被引:2
|
作者
Wang, En [1 ]
Wei, Wei [1 ]
Wang, Bingdong [1 ]
Liu, Zhe [1 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid Minist Educ, Tianjin 300072, Peoples R China
关键词
fault tree; dispatching operation; power system risk; device failure;
D O I
10.4028/www.scientific.net/AMR.732-733.909
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Reasonable dispatching strategies are important to guarantee secure and reliable operation of power system. Now the operators use real-time data and their experience to dispatch the system, but the huge data system brings much inconvenience to operators. In this paper, the risk theory is introduced into dispatching operation quantitative assessment, and a real-time dispatching operation risk analysis method is proposed. Fault tree is used to simulate dispatching operation process and comprehensively analyze the system risk in both under-successful and failure state of the operation. Risk indices are given to quantitatively reflect the risk level of each operation step based on local information, such as voltage out-of-limit risk, line overload risk, load curtailment risk, so that the operators can clearly recognize the risk and risk sources in each operation step and take corresponding pre-control measures. Finally, the effectiveness and practicability of proposed method is validated by an IEEE RTS test system.
引用
收藏
页码:909 / 914
页数:6
相关论文
共 50 条
  • [41] Real-time Security Assessment of Power Grid Operation Trends
    Wang Binqi
    Wang Haixia
    Li Weidong
    Xu Peng
    Wang Yong
    2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014,
  • [42] COMPUTER-AIDED FAULT TREE SYNTHESIS .3. REAL-TIME FAULT LOCATION
    BOSSCHE, A
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 1991, 33 (02) : 161 - 176
  • [43] Research of real-time information analysis and assessment system for power network dispatching automation
    Liu, Yang
    Lu, Jian-Gang
    Huang, Kai
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2010, 38 (08): : 38 - 42
  • [44] Risk Analysis for Real-Time Flood Control Operation of a Reservoir
    Chen, Juan
    Zhong, Ping-an
    Xu, Bin
    Zhao, Yun-fa
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2015, 141 (08)
  • [45] A theory-centric real-time assessment of programming
    Rao, Shilpi
    Kumar, Vive
    8TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS, 2008, : 139 - 143
  • [46] RFRTOS: A real-time operation system based on Linux
    Li, Xiao-Qun
    Zhao, Hui-Bin
    Ye, Yi-Min
    Sun, Yu-Fang
    Ruan Jian Xue Bao/Journal of Software, 2003, 14 (07): : 1203 - 1212
  • [47] Influence matrix based real-time fault diagnosis
    Poshtan, J
    Doraiswami, R
    Stevenson, M
    PROCEEDINGS OF THE 1996 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 1996, : 1000 - 1005
  • [48] Agent-based real-time fault diagnosis
    Luo, Jianhui
    Pattipati, Krishna R.
    Qiao, Liu
    Chigusa, Shunsuke
    2005 IEEE Aerospace Conference, Vols 1-4, 2005, : 3632 - 3640
  • [49] Real-time tree rendering
    Remolar, I
    Rebollo, C
    Chover, M
    Ribelles, J
    COMPUTATIONAL SCIENCE - ICCS 2004, PROCEEDINGS, 2004, 3039 : 173 - 180
  • [50] REAL-TIME FAULT DIAGNOSTICS
    PADALKAR, S
    KARSAI, G
    BIEGL, C
    SZTIPANOVITS, J
    OKUDA, K
    MIYASAKA, N
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1991, 6 (03): : 75 - 85