Conceptual framework for assessing reliability of subtransmission systems based on severity indices

被引:0
|
作者
Resende, Leonidas C. [1 ]
Assis, Fernando A. [1 ]
Santos, Thiago O. [1 ]
Leite da Silva, Armando M. [2 ]
Manso, Luiz A.F. [1 ]
Nascimento, Luiz C. [1 ]
Sacramento, Cleber E. [3 ]
机构
[1] Federal University of São João del-Rei, Department of Elect. Engineering, Brazil
[2] Pontifical Catholic Univ. of Rio de Janeiro, Department of Elect. Engineering, Brazil
[3] Minas Gerais Energy Company, CEMIG, Belo Horizonte, Brazil
关键词
D O I
10.1016/j.epsr.2024.111254
中图分类号
学科分类号
摘要
This paper proposes a comprehensive framework for defining operational classification criteria to evaluate the performance of electric power subtransmission systems. Based on the reliability indices estimated for a system taken as a reference and least squares regression analysis, an efficient way of classifying the adequacy of subtransmission networks is established. Using the proposed method, a judgmental scale for measuring the degree of severity index is obtained, which allows a quick check of the network's operational performance, something that does not currently exist for subtransmission networks. The severity index is expressed in system minutes, i.e., the ratio between the expected unsupplied energy and the annual system peak load. The definition of an appropriate classification criterion represents an important support for decision making processes in the context of network planning and operation. Four real subtransmission systems, operated under a concession regulation by the same Brazilian public utility, are used to illustrate and analyze the use of the proposed method, and the obtained results are discussed. © 2024 Elsevier B.V.
引用
收藏
相关论文
共 50 条
  • [31] Adaptive Supply Chain Systems - IoT Based Conceptual Framework
    Ramakrishnan, Parthasarathi
    Ma, Yongsheng
    2018 INTERNATIONAL CONFERENCE ON E-BUSINESS AND APPLICATIONS (ICEBA 2018), 2018, : 62 - 68
  • [33] Towards a conceptual framework-based architecture for unmanned systems
    Oswald, Norbert
    Informatics in Control, Automation and Robotics I, 2006, : 167 - 177
  • [34] A PoF based Reliability Assessment Framework for Complex Systems
    Li, Qian
    Li, Yaqiu
    Pan, Guangze
    Zhu, Jiawei
    Lei, Baimao
    Li, Xiaobing
    12TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY, AND SAFETY (ICRMS 2018), 2018, : 413 - 418
  • [35] ANALYZING DATA FOR DETERMINING RELIABILITY PARAMETERS OF COMPONENTS OF ELECTRICAL POWER SUBTRANSMISSION AND DISTRIBUTION SYSTEMS
    AURIEMMA, L
    CARRA, D
    MASSA, F
    FERMO, R
    ELETTROTECNICA, 1972, 59 (07): : 795 - &
  • [36] Modelling Reliability Indices of Hierarchical Systems
    Sydor, Andriy
    Teslyuk, Vasyl
    2016 13TH INTERNATIONAL CONFERENCE ON MODERN PROBLEMS OF RADIO ENGINEERING, TELECOMMUNICATIONS AND COMPUTER SCIENCE (TCSET), 2016, : 111 - 113
  • [37] AN EXERGY-BASED FRAMEWORK FOR ASSESSING SUSTAINABILITY OF IT SYSTEMS
    Shah, Amip J.
    Meckler, Milton
    ES2009: PROCEEDINGS OF THE ASME 3RD INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, VOL 1, 2009, : 823 - 832
  • [38] DETERMINATION OF RELIABILITY INDICES OF SYSTEMS WITH REPAIR
    KOZLOV, BA
    ENGINEERING CYBERNETICS, 1966, (04): : 87 - &
  • [39] Assessing the reliability of distribution systems
    Brown, RE
    Hanson, AP
    Willis, HL
    Luedtke, FA
    Born, MF
    IEEE COMPUTER APPLICATIONS IN POWER, 2001, 14 (01): : 44 - 49
  • [40] Assessing uncertainty in reliability of component-based software systems
    Goseva-Popstojanova, K
    Kamavaram, S
    ISSRE 2003: 14TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING, PROCEEDINGS, 2003, : 307 - 320