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
  • [21] Copula-based importance sampling method for efficient slope reliability analysis
    Zhou, Xinlong
    Xiao, Henglin
    Jiang, Dongzhu
    Yang, Jinhui
    Tian, Mi
    Yue, Xiao-Guang
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2023, 47 (10) : 1894 - 1910
  • [22] Evaluation of the probability of functional failure of a redundant system by importance sampling method
    Kuznetsov N.Yu.
    Homyak O.N.
    Cybernetics and Systems Analysis, 2014, 50 (4) : 538 - 547
  • [23] A sampling method based on URL clustering for fast web accessibility evaluation
    Zhang, Meng-ni
    Wang, Can
    Bu, Jia-jun
    Yu, Zhi
    Zhou, Yu
    Chen, Chun
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2015, 16 (06) : 449 - 456
  • [24] A sampling method based on URL clustering for fast web accessibility evaluation
    Meng-ni Zhang
    Can Wang
    Jia-jun Bu
    Zhi Yu
    Yu Zhou
    Chun Chen
    Frontiers of Information Technology & Electronic Engineering, 2015, 16 : 449 - 456
  • [25] DOMAIN DECOMPOSITION METHOD AND IMPORTANCE SAMPLING METHOD OF STRUCTURAL DYNAMIC RELIABILITY COMPUTATION
    Liu, P.
    Yao, Q. F.
    ENVIRONMENTAL VIBRATIONS: PREDICTION, MONITORING, MITIGATION AND EVALUATION, VOLS I AND II, 2009, : 957 - 962
  • [26] Reliability Evaluation of Power System Based on Isodisperse Important Sampling Method and Dynamic Parallel Calculation
    Li, Na
    Wang, Xiaoliang
    Zhu, Zhenhua
    Gu, Chao
    5TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS ENGINEERING (CPESE 2018), 2019, 156 : 343 - 348
  • [27] A composite generation-transmission system reliability assessment method based on clustering of optimal multiplier vector
    Zhang, Lizi
    Wang, Qian
    Shu, Jun
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2011, 35 (06): : 14 - 19
  • [28] AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis
    Zhang, Xufang
    Wang, Lei
    Sorensen, John Dalsgaard
    STRUCTURAL SAFETY, 2020, 82
  • [29] Quasi Monte Carlo method for reliability evaluation of power system based on Dimension Importance Sorting
    Hou, Yushen
    Wang, Xiuli
    Guo, Jingli
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2017, 27 (03):
  • [30] Reliability Evaluation for Rolling Bearings with Small Sampling Based on Bayes Method
    Lou, Hongliang
    Li, Xinglin
    Zhuo, Jizhi
    Zhang, Yangping
    Zhang, Yanliao
    Yu, Zhonghua
    Zheng, Qian
    PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT, 2009, : 1112 - +
12345