A new algorithm for the theoretical energy loss calculation of the distribution network based on artificial neural networks

被引:0
|
作者
Wang, Hong-Rui [1 ]
Yang, Guo-Jie [1 ]
Liu, Xiu-Ling [1 ]
机构
[1] Hebei Univ, Dept Elect & Informat Engn, Baoding 071002, Peoples R China
关键词
distribution networks; theoretical energy losses; artificial neural networks; BP algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, several normal calculation algorithms for the theoretical energy loss of the power distribution network were simply summarized. By analyzing their limitedness in using and applying the technology of artificial neural network (ANN), a novel BP based optimum calculation algorithm for the theoretical energy loss of the power distribution network was proposed. The practical applications showed that the efficiency and veracity of the calculation for theoretical energy loss was improved.
引用
收藏
页码:3195 / 3198
页数:4
相关论文
共 50 条
  • [1] New algorithm for identifying network topology based on artificial neural networks
    Jercic, Roko
    Pavic, Ivica
    Damjanovic, Ivana
    2019 2ND INTERNATIONAL COLLOQUIUM ON SMART GRID METROLOGY (SMAGRIMET), 2019,
  • [2] RBF neural network based on genetic algorithm used in line loss calculation for distribution network
    Jiang, Huilan
    Yuan, Yunzhou
    Huang, Yi
    Li, Guixin
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS, 2007, : 338 - +
  • [3] Artificial neural network approach to network reconfiguration for loss minimization in distribution networks
    Kashem, MA
    Jasmon, GB
    Mohamed, A
    Moghavvemi, M
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1998, 20 (04) : 247 - 258
  • [4] Artificial neural network approach to network reconfiguration for loss minimization in distribution networks
    Universiti Telekom, Melaka, Malaysia
    不详
    不详
    Int J Electr Power Energy Syst, 4 (247-258):
  • [5] A Theoretical Energy Loss Calculation Method for Transformer District Based on Improved Convolutional Neural Networks
    Ren, Yijing
    Zhang, Li
    Wang, Haibo
    Guo, Jiawei
    Zhang, Changhang
    Yang, Ming
    Li, Mengwei
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (05) : 5885 - 5894
  • [6] A method of distribution network line loss calculation based on neural network
    Yang, Bin
    Zhou, Xi-Chao
    Zhang, Jian-Hua
    Zheng, Chen-Dong
    ADVANCED MATERIALS AND ENERGY SUSTAINABILITY, 2017, : 357 - 361
  • [7] Theoretical calculation on distribution network line loss based on measurement-based load
    Zhang, Zong-Wei
    Zhang, Hong
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2010, 38 (14): : 115 - 118
  • [8] CMAC neural network based network reconfiguration for loss minimization in distribution networks
    Jin, LC
    Qiu, JJ
    POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS, 2002, : 1068 - 1072
  • [9] Loss reduction in distribution networks using new network reconfiguration algorithm
    Kashem, MA
    Moghavvemi, M
    Mohamed, A
    Jasmon, GB
    ELECTRIC MACHINES AND POWER SYSTEMS, 1998, 26 (08): : 815 - 829
  • [10] A Modified Artificial Neural Network Based Distribution System Reconfiguration for Loss Minimization
    Kumar, K. Sathish
    Rajalakshmi, K.
    Karthikeyan, S. Prabhakar
    2014 INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE), 2014,