Using an improved joint normal transform method for modeling stochastic dependence in power system

被引：0
|
作者：
Le, Zhang [1 ]
Haihong, Bian [2 ]
Guohua, Chen [1 ]
机构：
[1] State Grid Nantong Power Supply Company, Nantong,Jiangsu,226006, China
[2] School of Power Engineering, Nanjing Institute of Technology, Nanjing,211167, China
来源：
Open Electrical and Electronic Engineering Journal | 2015年 / 9卷 / 01期
关键词：
21;
D O I：
10.2174/1874129001509010380
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：380 / 385
相关论文
共 50 条
  • [1] Stochastic power flow computation using improved joint normal transform method
    Cai, Jilin
    Xu, Qingshan
    Ding, Maosheng
    Wang, Xudong
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (23): : 104 - 110
  • [2] Using Copulas for Modeling Stochastic Dependence in Power System Uncertainty Analysis
    Papaefthymiou, George
    Kurowicka, Dorota
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (01) : 40 - 49
  • [3] Image alignment method using a joint transform correlator system
    Padilla-Vivanco, A
    Urcid-Serrano, GJ
    Báez-Rojas, JJ
    REVISTA MEXICANA DE FISICA, 2000, 46 (02) : 126 - 134
  • [4] An improved method for GPS stochastic modeling
    Xu, Rui
    Huang, Dingfa
    Zhou, Letao
    Li, Chenggang
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University, 2008, 33 (11): : 1110 - 1113
  • [5] MATHEMATICAL MODELING OF STOCHASTIC SYSTEMS USING THE GENERALIZED NORMAL SOLUTION METHOD
    Madera, Alexander
    Meladze, Hamlet
    Surguladze, Mindia
    Grebennikova, Ekaterina
    TRANSACTIONS OF A RAZMADZE MATHEMATICAL INSTITUTE, 2021, 175 (01) : 69 - 74
  • [6] The effect of improved system modeling in the continuation power flow method
    Lopez-Luis, E.
    Garcia-Dominguez, M. A.
    Ruiz-Vega, D.
    2007 IREP SYMPOSIUM- BULK POWER SYSTEM DYNAMICS AND CONTROL - VII REVITALIZING OPERATIONAL RELIABLITY, VOLS 1 AND 2, 2007, : 294 - 303
  • [7] A joint stochastic simulation method using the Bernstein copula as a flexible tool for modeling nonlinear dependence structures between petrophysical properties
    Hernandez-Maldonado, V.
    Diaz-Viera, M.
    Erdely, A.
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2012, 90-91 : 112 - 123
  • [8] Beyond Phasors: Modeling of Power System Signals Using the Hilbert Transform
    Derviskadic, Asja
    Frigo, Guglielmo
    Paolone, Mario
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (04) : 2971 - 2980
  • [9] Stochastic modeling of power system faults
    dos Santos, Andre
    Correia de Barros, M. T.
    ELECTRIC POWER SYSTEMS RESEARCH, 2015, 126 : 29 - 37
  • [10] An improved method for modeling the island photovoltaic power generation system with MPPT
    Wang, Qi
    Liu, Hongda
    Li, Yanan
    2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO), 2018,
12345