Reliability Estimation and Optimization of a Smart Meter Architecture Using a Monte Carlo Simulation

被引:0
|
作者
Altenburg T. [1 ]
Staegemann D. [1 ]
Volk M. [1 ]
Turowski K. [1 ]
机构
[1] Very Large Business Applications Lab, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg
关键词
Monte Carlo simulation; Reliability analysis; Reliability block diagram; Reliability optimization; Smart meter architecture;
D O I
10.1007/s42979-023-01917-8
中图分类号
学科分类号
摘要
The technological evolution is dominating the social change. There is a constant increase in the number of networked devices and the use of smart meters has become more relevant. A required feature of smart meter architectures is reliability, which ensures the continuous provision of the services of the system. In this article, the research question “How can a low-fault smart metering architecture be achieved based on constructive methods?” is answered with the objective of designing a low-fault smart meter architecture. By implementing optimization methods, an improvement in reliability can be achieved. A structured approach to reliability optimization using topological modifications to the architecture is described, along with evaluation of the improved reliability. For this purpose, reliability block diagrams are combined with Monte Carlo simulation to calculate the most realistic approximation of system reliability. Finally, the results of the individual reliability analyses are summarized and compared to show the optimization potential. © 2023, The Author(s).
引用
收藏
相关论文
共 50 条
  • [21] A Study of EV and PV Effects in Residential Distribution Networks using Monte Carlo Simulation and Smart Meter Dataset
    Vorapojpisut, Supachai
    Makumpon, Nithipat
    Srirattanatapee, Chanatip
    2023 18TH INTERNATIONAL JOINT SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING, ISAI-NLP, 2023,
  • [22] THE MAXIMUM ENTROPY ESTIMATION OF STRUCTURAL RELIABILITY BASED ON MONTE CARLO SIMULATION
    Huang, Wenbo
    Mao, Jiangang
    Zhang, Zhiyong
    33RD INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2014, VOL 4B, 2014,
  • [23] A Monte Carlo Simulation for Reliability Estimation of Logistics and Supply Chain Networks
    Ozkan, O.
    Kilic, S.
    IFAC PAPERSONLINE, 2019, 52 (13): : 2080 - 2085
  • [24] Reliability Evaluation in Smart Grids via Modified Monte Carlo Simulation Method
    Wadi, Mohammed
    Baysal, Mustafa
    Shobole, Abdulfetah
    Tur, Mehmet Rida
    2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2018, : 841 - 845
  • [25] Ballistic trajectory estimation using Monte Carlo simulation
    Karaivanova, A.
    Semerdjiev, T.
    1994,
  • [26] Value at Risk estimation using a Monte Carlo simulation
    Gogola, Jan
    EUROPEAN FINANCIAL SYSTEMS 2013: PROCEEDINGS OF THE 10TH INTERNATIONAL SCIENTIFIC CONFERENCE, 2013, : 107 - 113
  • [27] A study using Monte Carlo Simulation for failure probability calculation in Reliability-Based Optimization
    Dhanesh Padmanabhan
    Harish Agarwal
    John E. Renaud
    Stephen M. Batill
    Optimization and Engineering, 2006, 7 : 297 - 316
  • [28] A reliability-based optimization method using sequential surrogate model and Monte Carlo simulation
    Li, Xu
    Gong, Chunlin
    Gu, Liangxian
    Jing, Zhao
    Fang, Hai
    Gao, Ruichao
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2019, 59 (02) : 439 - 460
  • [29] A study using Monte Carlo simulation for failure probability calculation in Reliability-Based Optimization
    Dhanesh, Padmanabhan
    Harish, Agarwal
    John, E. Renaud
    Batill, Stephen M.
    OPTIMIZATION AND ENGINEERING, 2006, 7 (03) : 297 - 316
  • [30] A reliability-based optimization method using sequential surrogate model and Monte Carlo simulation
    Xu Li
    Chunlin Gong
    Liangxian Gu
    Zhao Jing
    Hai Fang
    Ruichao Gao
    Structural and Multidisciplinary Optimization, 2019, 59 : 439 - 460