The Reliability Evaluation Method of Generation System Based on the Importance Sampling Method and States Clustering

被引：13
|
作者：
Zhong, Sheng [1 ]
Yang, Tianmeng [2 ]
Wu, Yaowu [2 ]
Lou, Suhua [1 ]
Li, Taijun [1 ]
机构：
[1] Cent Southern China Elect Power Design Inst, Wuhan 430074, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China
来源：
2017 2ND INTERNATIONAL CONFERENCE ON ADVANCES ON CLEAN ENERGY RESEARCH (ICACER 2017) | 2017年 / 118卷
关键词：
Monte Carlo simulation; importance sampling method; reliability evaluation method; states clustering;
D O I：
10.1016/j.egypro.2017.07.031
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
To improve the reliability evaluation efficiency of large scale power system, an efficient reliability evaluation method of generation system is proposed in this paper. It can improve the calculation efficiency both in the sampling method and states evaluation. Firstly, the importance sampling method is used to replace the conventional Monte Carlo sampling method, which can accelerate the convergence speed of iteration calculation. Secondly, the states clustering method is proposed to get several typical generating states to replace all sampling states, which can improve the calculation speed. Finally, the simulations based on the IEEE RTS-79 generating system and the actual power system are carried out, and the efficiency and accuracy of this evaluation method in this paper are verified. (C) 2017 The Authors. Published by Elsevier Ltd
引用
下载
收藏
页码：128 / 135
页数：8
相关论文
共 50 条
  • [1] Dynamic reliability calculation based on importance sampling method
    Liu, Pei
    Yao, Qian-Feng
    Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 2009, 26 (06): : 851 - 855
  • [2] A self-adapting stratified and importance sampling method for power system reliability evaluation
    Wang, Xiaobin
    Guo, Ruipeng
    Cao, Yijia
    Yu, Xiuyue
    Yang, Guizhong
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2011, 35 (03): : 33 - 38
  • [3] Reliability Evaluation for Distributed generating system based on state duration sampling method
    Wang Haoming
    Tang Qinghua
    Qi Xiaohua
    Man Yuyan
    Li Wei
    2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2014,
  • [4] IMPROVING IMPORTANCE SAMPLING METHOD IN STRUCTURAL RELIABILITY
    JIN, WL
    LUZ, E
    NUCLEAR ENGINEERING AND DESIGN, 1994, 147 (03) : 393 - 401
  • [5] A new parallel adaptive structural reliability analysis method based on importance sampling and K-medoids clustering
    Chen, Zequan
    Li, Guofa
    He, Jialong
    Yang, Zhaojun
    Wang, Jili
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 218
  • [6] A SYSTEM STATE TRANSITION SAMPLING METHOD FOR COMPOSITE SYSTEM RELIABILITY EVALUATION
    BILLINTON, R
    LI, W
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1993, 8 (03) : 761 - 770
  • [7] An eccentric radial-based importance sampling method for reliability analysis
    Wei, Ning
    Lu, Zhenzhou
    Hu, Yingshi
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 219
  • [8] Adaptive radial-based importance sampling method for structural reliability
    Grooteman, Frank
    STRUCTURAL SAFETY, 2008, 30 (06) : 533 - 542
  • [9] Non-parametric Stratified Importance Sampling Method for Reliability Evaluation of Power System with Renewable Energy
    Cai J.
    Hao L.
    Zhang K.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (07): : 104 - 115
  • [10] Stratified uniform sampling method for power system reliability evaluation
    Huang, J. (huangjn1988@126.com), 1600, Automation of Electric Power Systems Press (36):
12345