Operational reliability assessment of power systems considering condition-dependent failure rate

被引:68
|
作者
Sun, Y. [1 ]
Wang, P. [2 ]
Cheng, L. [1 ]
Liu, H. [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
关键词
RISK ASSESSMENT; MAINTENANCE; INSULATION;
D O I
10.1049/iet-gtd.2009.0006
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
Failure rate of a system component is usually assumed to be constant in conventional reliability evaluation of power systems. It has been realised from the real-time operation that a component will experience more failures during heavy loading condition than those during light loading condition, which means that the failure rate of a component in real-time operation is not constant and varies with loading condition. In order to evaluate system operational reliability related to load condition, the factors affected condition-dependent failure rate (CDFR) are investigated and a basic CDFR model is proposed in this study. In predictive operational reliability study, equipment loading condition for a given load period is determined using AC power flow based on the corresponding load level with considering load uncertainty. A four-state model has been proposed to represent a system component. The equations for determining the probability of each state for the four-state model have been derived. A technique based on these equations and models has been developed to evaluate operational and annual reliability indices of components, load points and system. The IEEE-RTS has been analysed to illustrate the proposed models and technique.
引用
收藏
页码:60 / 72
页数:13
相关论文
共 50 条
  • [1] Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices
    Li, Qi
    Wang, Lingfeng
    Hou, Shiying
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [2] Adequacy Assessment of Power Distribution Network With Large Fleets of PHEVs Considering Condition-Dependent Transformer Faults
    Tan, Jun
    Wang, Lingfeng
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) : 598 - 608
  • [3] Condition-Dependent Sex and the Rate of Adaption
    Hadany, Lilach
    Otto, Sarah P.
    AMERICAN NATURALIST, 2009, 174 : S71 - S78
  • [4] High-Voltage Circuit Breaker Condition-Dependent Failure Rate with Covariates
    Grant, Jordon A.
    Toftaker, Hakon
    Perkin, Samuel
    Sperstad, Iver Bakken
    Vadlamudi, Vijay Venu
    2024 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, RAMS, 2024,
  • [5] Reliability Assessment of Power Systems Considering Reactive Power Sources
    Wang, Peng
    Qin, Wenping
    Han, Xiaoqing
    Ding, Yi
    Du, Xinghui
    2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 3918 - 3925
  • [6] Optimal generation dispatch model based on condition-dependent operational risk
    Zhao Y.
    Qiu Y.
    Xiong Y.
    Ye M.
    Wu L.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2016, 36 (01): : 73 - 81
  • [7] Operational Reliability and Economics of Power Systems With Considering Frequency Control Processes
    Liang, Chen
    Wang, Peng
    Han, Xiaoqing
    Qin, Wenping
    Billinton, Roy
    Li, Wenyuan
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (04) : 2570 - 2580
  • [8] Operational reliability evaluation for power systems considering load redistribution attack
    Chen F.
    Zhang J.
    Zhao M.
    Liu H.
    Wang R.
    Wang Z.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (08): : 160 - 168
  • [9] Cascading failure probabilistic assessment of power systems based on operational reliability model for transmission lines
    Zou, Xin
    Cheng, Lin
    Sun, Yuanzhang
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2011, 35 (13): : 7 - 11
  • [10] Operational reliability assessment of power systems based on bus voltage
    Qin, Wenping
    Song, Jiancheng
    Han, Xiaoqing
    Wang, Peng
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (05) : 475 - 482