Bayesian spatial reliability model for power transmission network lines

被引:14
|
作者
Iesmantas, Tomas [1 ,2 ]
Alzbutas, Robertas [1 ,2 ]
机构
[1] Kaunas Univ Technol, Kaunas, Lithuania
[2] Lithuanian Energy Inst, Kaunas, Lithuania
关键词
Power grid; Reliability; Correlation; Outages; Bayesian; INFRASTRUCTURE;
D O I
10.1016/j.epsr.2019.04.014
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper is devoted for the problem of assessment of the dependence of power transmission lines outages on the geographical position in the network. Authors present the model based on Poisson-gamma random field for the purpose of capturing the information about the strength of correlation between the power transmission network outages and geographical positions. The model presentation is followed by the analysis of the model and application to the North American power grid. The main finding is that outages of the power grid are geographically correlated and this effect should be incorporated into the overall reliability assessment of the grid to obtain more accurate estimates. It is proved in this paper, that taking into account dependency of line outages on the geographical location, enables to obtain more accurate results as compared to classical Poisson and to hierarchical Poisson-Bayesian models.
引用
收藏
页码:214 / 219
页数:6
相关论文
共 50 条
  • [21] Reliability analysis of transmission lines protection systems of the SONELGAZ power system
    Boussaadia, Fethi
    PROCEEDINGS OF 2019 ALGERIAN LARGE ELECTRICAL NETWORK CONFERENCE (CAGRE), 2019, : 110 - 114
  • [22] A Bayesian network model for dependence assessment in human reliability analysis
    Baraldi, P.
    Conti, M.
    Librizzi, M.
    Zio, E.
    Podofillini, L.
    Dang, V. N.
    RELIABILITY, RISK AND SAFETY: THEORY AND APPLICATIONS VOLS 1-3, 2010, : 223 - 230
  • [23] Grey Bayesian Network Model for Reliability Analysis of Complex System
    Cao, Yingsai
    Liu, Sifeng
    Fang, Zhigeng
    Dong, Wenjie
    PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2017, : 289 - 294
  • [24] A Hybrid Bayesian Network Based Method to Assess and Predict Electrical Power Network Reliability
    Lakehal, Abdelaziz
    Chelli, Zoubir
    Djeghader, Yacine
    PROCEEDINGS OF 2019 IEEE 4TH WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS' 19), 2019, : 384 - 389
  • [25] A BIRTH AND DEATH MODEL FOR COMPUTING THE RELIABILITY OF A TRANSMISSION NETWORK
    ALIDRISI, MM
    MICROELECTRONICS AND RELIABILITY, 1987, 27 (04): : 653 - 659
  • [26] Bayesian Networks for Fault Diagnosis of a Large Power Station and its Transmission Lines
    Mansour, M. M.
    Wahab, Mohamed A. A.
    Soliman, Wael M.
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2012, 40 (08) : 845 - 863
  • [27] Analysis of the Reliability of Electrical Power Generation-Transmission Network
    Bousshoua, Bouziane
    Elmaouhab, Ali
    Chehri, Amine
    PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 982 - 986
  • [28] A study of correlated failures on the network reliability of power transmission systems
    Lin, Yi-Kuei
    Chang, Ping-Chen
    Fiondella, Lance
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) : 954 - 960
  • [29] The Role of Transmission Network Maintenance in Achieving Power System Reliability
    Mesic, M.
    Toljan, I.
    Tesnjak, S.
    2008 IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1 AND 2, 2008, : 667 - +
  • [30] Monitoring power transmission lines using a wireless sensor network
    Lin, Junru
    Zhu, Baohui
    Zeng, Peng
    Liang, Wei
    Yu, Haibin
    Xiao, Yang
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2015, 15 (14): : 1799 - 1821