Seismic Reliability Evaluation Strategy for Substation Systems Based on the Quasi-Monte Carlo Simulation Method and Triangle Algorithm

被引:0
|
作者
Liu, Xiaohang [1 ,2 ]
Zheng, Shansuo [2 ]
Qin, Qing [1 ]
Hou, Piji [1 ]
机构
[1] Xian Univ Architecture & Technol, Sch Architecture & Civil Engn, Xian 710055, Peoples R China
[2] Minist Educ XAUAT, Key Lab Struct Engn & Earthquake Resistance, Xian 710055, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 01期
基金
中国国家自然科学基金;
关键词
seismic reliability analysis process; quasi-Monte Carlo simulation; triangle algorithm; functional unit; substation system; EQUIPMENT; PERFORMANCE; RESILIENCE; NETWORKS; DAMAGE;
D O I
10.3390/app15010292
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Power systems are the backbone of modern society. As critical facilities for the transmission and conversion of electric power, substations are vital to the stable operation of power systems. Quantifying the residual seismic capacity of the substation system is an urgent issue to be addressed. Therefore, this study proposes a reliability assessment process based on network matrix algorithms and efficient simulation methods to evaluate substation systems. A typical 220 kV substation in China with 6 incoming lines and 10 outgoing lines was studied with this assessment process. The results of the case study showed that the redundancy of transformer units, due to their excessive fragility, does not effectively guarantee the complete function of the system after an earthquake. In this work, 220 kV circuit breakers, voltage transformers, and 110 kV disconnect switches were evaluated as the most vulnerable functional equipment in the substation system; improving their seismic performance can significantly improve the seismic reliability of the entire system. Furthermore, the evaluation process demonstrated that substations are more susceptible to earthquakes than individual pieces of equipment, indicating that the redundancy of existing substations is insufficient.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Research on a seismic connectivity reliability model of power systems based on the quasi-Monte Carlo method
    Liu, Xiaohang
    Zheng, Shansuo
    Wu, Xinxia
    Chen, Dianxin
    He, Jinchuan
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 215 (215)
  • [2] Research on seismic reliability of power system based on quasi-Monte Carlo method
    Liu X.
    He J.
    Zheng S.
    Wang J.
    1600, Huazhong University of Science and Technology (48): : 119 - 125
  • [3] Seismic reliability evaluation of spatially correlated pipeline networks by quasi-Monte Carlo simulation
    Hou, Benwei
    Xu, Qianyi
    Zhong, Zilan
    Han, Junyan
    Miao, Huiquan
    Du, Xiuli
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2024, 20 (04) : 498 - 513
  • [4] Quasi-Monte Carlo method for structural reliability analysis
    Dai, Hongzhe
    Wang, Wei
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2009, 30 (04): : 666 - 671
  • [5] Application and evaluation of quasi-Monte Carlo method in illumination optical systems
    Yoshida, Shuhei
    Horiuchi, Shuma
    Ushiyama, Zenta
    Yamamoto, Manabu
    OPTICS EXPRESS, 2012, 20 (09):
  • [6] Quasi-Monte Carlo Simulation-Based SFEM for Slope Reliability Analysis
    于玉贞
    谢立全
    张丙印
    Journal of Southwest Jiaotong University, 2005, (01) : 56 - 61
  • [7] Parallel study of seismic reliability analysis of water supply pipe network based on quasi-Monte Carlo method
    Long L.
    Zheng S.-S.
    Zhou Y.
    He J.-C.
    Meng H.-L.
    Cai Y.-L.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2020, 54 (02): : 241 - 247
  • [8] Reliability Evaluation of a Metro Traction Substation Based on the Monte Carlo Method
    Li, Kunpeng
    Yang, Qianqian
    Cui, Zhen
    Zhao, Yunyun
    Lin, Sheng
    IEEE ACCESS, 2019, 7 : 172974 - 172980
  • [9] A randomized quasi-Monte Carlo simulation method for Markov chains
    L'Ecuyer, Pierre
    Lecot, Christian
    Tuffin, Bruno
    OPERATIONS RESEARCH, 2008, 56 (04) : 958 - 975
  • [10] Efficient reliability assessment of structural dynamic systems with unequal weighted quasi-Monte Carlo Simulation
    Xu, Jun
    Zhang, Wangxi
    Sun, Rui
    COMPUTERS & STRUCTURES, 2016, 175 : 37 - 51