Research on Optimization of Distribution Network Power Supply Capacity Based on Improved Dijkstra Algorithm

被引：0
|
作者：
Cai, Ruojun [1 ]
Yang, Jiachen [1 ]
Chen, Ying [1 ]
Li, Tianci [1 ]
Xie, Demin [1 ]
机构：
[1] Hainan Power Grid Ltd Liabil Co, Haikou Power Supply Bur, Haikou 570102, Hainan, Peoples R China
来源：
PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024 | 2024年
关键词：
Power supply capacity; Distribution network; Dijkstra algorithm;
D O I：
10.1145/3674225.3674301
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The distribution network is an important component of the power system, and its power supply capacity directly affects the stability and reliability of the entire power system. This article aims to improve the power supply capacity and proposes a Dijkstra algorithm with improved weight design based on several typical measures to improve the power supply capacity of distribution networks, in order to find an economic solution for optimizing the load rate of distribution networks. This algorithm comprehensively considers the effect of reducing load rate and construction cost, which helps to find the most economical solution to improve power supply capacity in line with the actual situation, and has a strong reference effect on improving the power supply capacity of urban distribution networks.
引用
收藏
页码：427 / 432
页数：6
相关论文
共 50 条
  • [1] Operation Optimization Based on the Power Supply and Storage Capacity of an Active Distribution Network
    Yu, Wenpeng
    Liu, Dong
    Huang, Yuhui
    ENERGIES, 2013, 6 (12): : 6423 - 6438
  • [2] Reactive Power Optimization and Reconstruction of Distribution Network Based on Improved GSA Algorithm
    Yi, Xiuqing
    Tian, Miao
    Chen, Cheng
    Zhang, Guilin
    2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 674 - 679
  • [3] Power distribution network optimization planning based on improved ant colony algorithm
    School of Microelectronics, Xidian University, Xi'an 710071, China
    Hsi An Chiao Tung Ta Hsueh, 2007, 6 (727-731):
  • [4] The power distribution network structure optimization based on improved ant colony algorithm
    Sun, Wei
    Ma, Tiannan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 26 (06) : 2799 - 2804
  • [5] Research on Optimization of Distribution Routes for Fresh Agricultural Products Based on Dijkstra Algorithm
    Tan, Yong
    Wu, Dan
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 2500 - 2503
  • [6] Reactive Power Optimization of Distribution Network on Improved Genetic Algorithm
    Wu, Xiaomeng
    Guo, Xinyu
    Li, Fei
    Zhang, Achao
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 2048 - 2052
  • [7] A summary of the maximum power supply capacity of the research of intelligent distribution network
    Fu Zhouxing
    Xie Jing
    Zhang Ruoya
    Sun Yongxin
    Ju Di
    PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015), 2015, : 106 - 109
  • [8] Reactive power optimization of distribution network based on improved bacterial colony chemotaxis algorithm
    Chen, Ji-Ming
    Wang, Yuan-Yuan
    Gao, Yan-Liang
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (14): : 97 - 102
  • [9] Dynamic reactive power optimization method for distribution network based on improved genetic algorithm
    He, Yu-Qing
    Peng, Jian-Chun
    Wen, Ming
    Pan, Jun-Tao
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2010, 37 (03): : 38 - 43
  • [10] Research on distribution network optimization for urban area based on improved ant colony algorithm
    Qin, Ming
    Li, Yan
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHANICS AND MECHATRONICS (ICMM 2015), 2016, : 1076 - 1085
12345