Reliability evaluation of distribution network based on improved non sequential Monte Carlo method

被引：0
|
作者：
Zhu, Jie [1 ]
Li, Chao [1 ]
Tang, Aihong [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Hubei, Peoples R China
来源：
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015) | 2015年 / 15卷
关键词：
Reliability evaluation; Non sequential Monte Carlo sampling; Stratified sampling; Power system; Distribution network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper the idea of stratification is utilized to form a homogeneous-stratified sampling method, which can increase the efficient of power system random fault state evaluation. Applying this method for reliability evaluation only generates a small number of independent random numbers, it decrease the amount of calculation and increase the efficient. The improved non sequential Monte Carlo method is then demonstrated and implemented in the reliability evaluation of RBTS-BUS5 system case, illustrating this algorithm can be used in reliability evaluation of distribution network.
引用
收藏
页码：535 / 540
页数：6
相关论文
共 50 条
  • [1] Reliability Evaluation of Distribution Network Based on Sequential Monte Carlo Simulation
    Lu, Qi
    Hua, Yujie
    Shen, Ye
    Kang, Qi
    Zhang, Rong
    [J]. 2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 1170 - 1174
  • [2] Reliability Evaluation of Distribution Network Power Supply Based on Improved Sampling Monte Carlo Method
    Liu, Jun
    Shen, Hao
    Yang, Fan
    [J]. 2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 1725 - 1729
  • [3] Reliability Evaluation of Distribution Network with Electric Vehicles and Distributed Generations Based on Network Equivalence and Sequential Monte Carlo Method
    Wang, Haipeng
    Li, Kaiwen
    Liu, Zixuan
    He, Yuling
    Wang, Xiaolong
    Sun, Kai
    Yang, Peng
    [J]. JOURNAL OF ENERGY ENGINEERING, 2024, 150 (04)
  • [4] Reliability Assessment of AC/DC Hybrid Distribution Network Based on Sequential Monte Carlo Method
    Wu, Liping
    Geng, Bin
    Liu, Hongyu
    Piao, Zheyong
    Wang, Hanyu
    Lin, Zijian
    [J]. 2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 1096 - 1100
  • [5] Reliability Assessment of AC/DC Hybrid Distribution Network Based on Sequential Monte Carlo Method
    Wang Ziyi
    Yang Xiaomin
    Xiao Huixu
    Chen Hongtao
    [J]. 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT ENERGY AND POWER SYSTEMS (IEPS 2017), 2017, : 14 - 19
  • [6] Study on Reliability Evaluation Method Based on Improved Monte Carlo Method
    Liu Jun
    Yang Fan
    Ren Lijia
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2018, 64
  • [7] Distribution system reliability assessment based on the improved monte carlo method
    Electrical Engineering & Renewable Energy School, China Three Gorges University, Yichang
    443002, China
    [J]. Lect. Notes Electr. Eng., (271-278):
  • [8] An Improved Monte Carlo Reliability Analysis Method Based on Neural Network
    Chen, Songkun
    Wang, Deyu
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2018, 52 (06): : 687 - 692
  • [9] Reliability Evaluation of Standalone Microgrid Based on Sequential Monte Carlo Simulation Method
    Weng, Zhipeng
    Zhou, Jinghua
    Zhan, Zhengdong
    [J]. ENERGIES, 2022, 15 (18)
  • [10] A New Method based on Monte Carlo simulation for Reliability Evaluation of Distribution Network Considering the Influence of Typhoon
    Zhang Shengqiang
    He Yifeng
    Cai Jianlong
    Wang Junwu
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 3341 - 3346
12345