Distribution Network Reconfiguration with the OpenDSS using Improved Binary Particle Swarm Optimization

被引：0
作者：
Pegado, R. A. [1 ]
Rodriguez, Y. P. M. [1 ]
机构：
[1] Univ Fed Paraiba UFPB, Joao Pessoa, Paraiba, Brazil
来源：
IEEE LATIN AMERICA TRANSACTIONS | 2018年 / 16卷 / 06期
关键词：
Distribution network; improved binary particle swarm optimization; OpenDSS; reconfiguration; ALLOCATION; ALGORITHMS;
D O I：
10.1109/TLA.2018.8444386
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new method for distribution network reconfiguration that uses the features of the Open Source Distribution System Simulator (OpenDSS) and improved binary particle swarm optimization (IBPSO), a new activation function is introduced into binary particle swarm optimization (BPSO) to propose the IBPSO. The proposed algorithm was developed in C# language allowing the integration between OpenDSS and the IBPSO. Numerical result using 33-Bus system and the 69-Bus system were used to compare the results of the proposed method with other modern techniques reported in the technical literature.
引用
收藏
页码：1677 / 1683
页数：7
相关论文
共 50 条
  • [41] An improved particle swarm optimization for feature selection
    Chen, Li-Fei
    Su, Chao-Ton
    Chen, Kun-Huang
    INTELLIGENT DATA ANALYSIS, 2012, 16 (02) : 167 - 182
  • [42] An Improved Beetle Swarm Algorithm Based on Social Learning for a Game Model of Multiobjective Distribution Network Reconfiguration
    Chen, Qian
    Wang, Weiqing
    Wang, Haiyun
    Wu, Jiahui
    Wang, Jie
    IEEE ACCESS, 2020, 8 : 200932 - 200952
  • [43] Neural Network Training Using Particle Swarm Optimization - a Case Study
    Kaminski, Marcin
    2019 24TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2019, : 115 - 120
  • [44] Multi-objective optimization of water distribution networks using particle swarm optimization
    Surco, Douglas F.
    Macowski, Diogo H.
    Cardoso, Flavia A. R.
    Vecchi, Thelma P. B.
    Ravagnani, Mauro A. S. S.
    DESALINATION AND WATER TREATMENT, 2021, 218 : 18 - 31
  • [45] An improved cuckoo search algorithm for the problem of electric distribution network reconfiguration
    Thuan Thanh Nguyen
    Thang Trung Nguyen
    APPLIED SOFT COMPUTING, 2019, 84
  • [46] Reconfiguration of Distribution Networks With Distributed Generations Using an Improved Neural Network Algorithm
    Thanh Van Tran
    Bao-Huy Truong
    Tri Phuoc Nguyen
    Thi Anh Nguyen
    Thanh Long Duong
    Dieu Ngoc Vo
    IEEE ACCESS, 2021, 9 : 165618 - 165647
  • [47] Simultaneous allocation of distributed energy resource using improved particle swarm optimization
    Kanwar, Neeraj
    Gupta, Nikhil
    Niazi, K. R.
    Swarnkar, Anil
    Bansal, R. C.
    APPLIED ENERGY, 2017, 185 : 1684 - 1693
  • [48] Tabu Search and Binary Particle Swarm Optimization for Feature Selection Using Microarray Data
    Chuang, Li-Yeh
    Yang, Cheng-Huei
    Yang, Cheng-Hong
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2009, 16 (12) : 1689 - 1703
  • [49] Network Reconfiguration Framework for CO2 Emission Reduction and Line Loss Minimization in Distribution Networks Using Swarm Optimization Algorithms
    Lin, Wei-Chen
    Hsiao, Chao-Hsien
    Huang, Wei-Tzer
    Yao, Kai-Chao
    Lee, Yih-Der
    Jian, Jheng-Lun
    Hsieh, Yuan
    SUSTAINABILITY, 2024, 16 (04)
  • [50] Distribution Network Reconfiguration Using Grasshopper Optimization Algorithm for Power Loss Minimization
    Hamour, Hanan
    Kamel, Salah
    Abdel-mawgoud, Hussein
    Korashy, Ahmed
    Jurado, Francisco
    2018 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2018,
12345