Power transformer overload risk evaluation based on temperature rise simulation and fuzzy analytic hierarchy process

被引:2
|
作者
Zhang, Lei [1 ]
Li, Dajian [1 ]
Chen, Liangyuan [1 ]
Ma, Yuan [1 ]
机构
[1] Elect Power Res Inst Guangxi Power Grid Co Ltd, Guangxi Key Lab Intelligent Control & Maintenance, Nanning, Guangxi, Peoples R China
来源
INTERNATIONAL CONFERENCE ON SMART ENERGY, ICSNRG 2022 | 2023年 / 2422卷
关键词
fuzzy analytic hierarchy process; transformer overload risk; temperature rise simulation calculation; evaluation;
D O I
10.1088/1742-6596/2422/1/012012
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The evaluation of transformer overload risk and operational safety is a systematic process. Selecting an appropriate method to accurately assess its overload operation risk is an urgent need for flexible control and safe and reliable operation of power systems. According to the thermal characteristics and state of the transformer, a method for evaluating the overload risk of transformers with improved accuracy based on temperature rise simulation calculation combined with the Fuzzy Analytic Hierarchy Process (FAHP) is proposed. The weights are calculated by fuzzy set theory and FAHP, and the overload risk of the transformer is finally determined. The method comprehensively considers the possible information conflict between the working condition data and the thermal characteristics of the structure itself, and the calculation results are accurate and the process is clear. The calculation results after substituting the actual data show that the method can accurately evaluate the overload risk and operational risk of the transformer. This method is beneficial to identify the relative importance of transformer overload risk factors, calculate transformer overload risk coefficients, and formulate transformer risk control methods.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Urban traffic safety evaluation model based on fuzzy analytic hierarchy process
    Zhang C.Y.
    Leng X.Y.
    Adv. Transp. Stud., 2020, Special Issue (51-60): : 51 - 60
  • [22] Power System Data Quality Evaluation Based on the Analytic Hierarchy Process
    Wang, Xiliang
    Qin, Xuan
    Liu, Daoxin
    Wang, Zijian
    Wang, Jun
    Xu, Huiming
    Qin, Ming
    ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 : 2611 - +
  • [23] A fuzzy analytic hierarchy process for risk evaluation of urban rail transit PPP projects
    Feng, Yuting
    Guo, Xuemeng
    Wei, Bolu
    Chen, Bingyao
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (04) : 5117 - 5128
  • [24] Fuzzy analytic hierarchy process for risk evaluation of collapse during construction of mountain tunnel
    Chen Jie-jin
    Zhou Feng
    Yang Jun-sheng
    Liu Bao-chen
    ROCK AND SOIL MECHANICS, 2009, 30 (08) : 2365 - 2370
  • [25] Human resources management and evaluation system based on fuzzy analytic hierarchy process
    Yu S.
    Yu, Shasha (yushasha721@hotmail.com), 1600, Taru Publications (20): : 951 - 964
  • [26] Multi-dimensional value evaluation for power-to-hydrogen technology based on fuzzy analytic hierarchy process
    Han, Zijiao
    Ge, Yanfeng
    Dong, Henan
    Wang, Liang
    Sun, Tianhe
    ENERGY REPORTS, 2023, 9 : 478 - 484
  • [27] Evaluation Method of Multidimensional Scientific Research Value of Power Grid Enterprises Based on Fuzzy Analytic Hierarchy Process
    Cheng, Fan
    Li, Yong
    Li, Jiaang
    2022 9TH INTERNATIONAL FORUM ON ELECTRICAL ENGINEERING AND AUTOMATION, IFEEA, 2022, : 270 - 274
  • [28] Multi-dimensional value evaluation for power-to-hydrogen technology based on fuzzy analytic hierarchy process
    Han, Zijiao
    Ge, Yanfeng
    Dong, Henan
    Wang, Liang
    Sun, Tianhe
    ENERGY REPORTS, 2023, 9 : 478 - 484
  • [29] A fuzzy extension of Analytic Hierarchy Process based on the constrained fuzzy arithmetic
    Jana Krejčí
    Ondřej Pavlačka
    Jana Talašová
    Fuzzy Optimization and Decision Making, 2017, 16 : 89 - 110
  • [30] Network Security Risk Assessment Method Research Based on Fuzzy Analytic Hierarchy Process
    Yu, Zhi
    Xu, Xiang
    Wu, Xianjie
    NANOTECHNOLOGY AND COMPUTER ENGINEERING, 2010, 121-122 : 80 - 86