Probabilistic real-time contingency ranking method

被引：0
|
作者：
机构：
[1] Mijuskovic, N.A.
[2] Stojnic, D.
来源：
Mijuskovic, N.A. | 2000年 / Elsevier Science Ltd, Exeter, United Kingdom卷 / 22期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Contingency Visualization for Real-Time Decision Support in Grid Operation
    Huang, Zhenyu
    Chen, Yousu
    Greitzer, Frank L.
    Eubank, Robert
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [32] REAL-TIME EXTERNAL SYSTEM EQUIVALENT FOR ONLINE CONTINGENCY ANALYSIS
    DOPAZO, JF
    IRISARRI, G
    SASSON, AM
    IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1979, 98 (06): : 2153 - 2171
  • [33] Practical Implementation of Synchrophasor Based Real-Time Contingency Analysis
    Nayak, Neeraj
    Zhang, Lin
    Martin, Kenneth
    Dobson, Ian
    Bose, Anjan
    Sobajic, Dejan J.
    2018 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2018,
  • [34] Robust, real-time generic detector based on a multi-feature probabilistic method
    Doyen, Matthieu
    Ge, Di
    Beuchee, Alain
    Carrault, Guy
    Hernandez, Alfredo, I
    PLOS ONE, 2019, 14 (10):
  • [35] A real-time probabilistic risk assessment method for the petrochemical industry based on data monitoring
    He, Rui
    Zhu, Jingyu
    Chen, Guoming
    Tian, Zhigang
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 226
  • [36] A METHOD FOR REAL-TIME DECONVOLUTION
    ANAYA, JJ
    ULLATE, LG
    FRITSCH, C
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1992, 41 (03) : 413 - 419
  • [37] WCET analysis of probabilistic hard real-time systems
    Bernat, G
    Colin, A
    Petters, SM
    23RD IEEE REAL-TIME SYSTEMS SYMPOSIUM, PROCEEDINGS, 2002, : 279 - 288
  • [38] VERIFYING AUTOMATA SPECIFICATIONS OF PROBABILISTIC REAL-TIME SYSTEMS
    ALUR, R
    COURCOUBETIS, C
    DILL, D
    LECTURE NOTES IN COMPUTER SCIENCE, 1992, 600 : 28 - 44
  • [39] Neural Networks for Real-Time, Probabilistic Obstacle Detection
    Werner, Tobias
    Bloess, Josua
    Henrich, Dominik
    ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS, 2018, 49 : 306 - 313
  • [40] A sparse probabilistic learning algorithm for real-time tracking
    Williams, O
    Blake, A
    Cipolla, R
    NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, : 353 - 360
12345