Distribution network reconfiguration for loss reduction using ant colony system algorithm

被引:0
|
作者
Charles, DL [1 ]
Hafeezulla, KI [1 ]
Ravichandran, S [1 ]
机构
[1] Anna Univ, Madras 600025, Tamil Nadu, India
来源
关键词
distribution networks; Ant Colony System; reconfiguration;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In Electrical Power System, Network reconfiguration for loss reduction in distribution systems is very important way to save energy. But due to its nature it is inherently a difficult optimization problem. Distribution system reconfiguration for loss reduction is being applied using Ant Colony System Algorithm where in, the behavior of the real ants is developed into a series of steps which find most efficient in the network reconfiguration. Ants of the artificial colony are able to search for the successively shorter feasible routes by using information accumulated in the form of a pheromone trail deposited on the edges of their traveling path. In this work we make use of conventional distribution system load flow algorithm to check the constraints. Power flow constraints, the voltage deviation and the power transferred through the line should be met. A distribution network consisting of 14-bus system with three feeders, 19-branches and It-load centers from Tamil Nadu Electricity Board (TNEB) is taken as case study. The results outstand positively forming an optimal network.
引用
下载
收藏
页码:619 / 622
页数:4
相关论文
共 50 条
  • [41] Distribution network reconfiguration for loss reduction with variable demands
    Bueno, EA
    Lyra, C
    Cavellucci, C
    2004 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, 2004, : 384 - 389
  • [42] Reconfiguration of distribution network for loss reduction and reliability improvement based on an enhanced genetic algorithm
    Duan, Dong-Li
    Ling, Xiao-Dong
    Wu, Xiao-Yue
    Zhong, Bin
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 : 88 - 95
  • [43] Distribution network reconfiguration based on interval algorithm to maximize confidence of energy loss reduction
    Wang, S.
    Wang, C.
    2001, Automation of Electric Power Systems Press (25):
  • [44] Analysis of Loss Reconfiguration for Distribution Network System
    Yin, Nwe Nwe
    Thuzar, Myint
    Thwe, Ei Phyo
    2017 21ST INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC 2017), 2017, : 299 - 302
  • [45] Combination of genetic algorithm and ant colony algorithm for distribution network planning
    Dong, Yong-Feng
    Gu, Jun-Hua
    Li, Na-Na
    Hou, Xiang-Dan
    Yan, Wei-Li
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 999 - 1002
  • [46] Optimal Distribution System Reconfiguration for Loss Minimization using BPSO Algorithm
    Essallah, Sirine
    Khedher, Adel
    2019 10TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2019,
  • [47] Electrical Distribution System Power Loss Reduction and Voltage Profile Enhancement by Network Reconfiguration Using PSO
    Shetty, Vinay J.
    Ankaliki, S. G.
    2019 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES 2019), 2019,
  • [48] OPTIMAL RECONFIGURATION OF DISTRIBUTION NETWORK FOR LOSS REDUCTION USING NONLINEAR-PROGRAMMING
    AUGUGLIARO, A
    DUSONCHET, L
    MANGIONE, S
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER ENGINEERING, 1991, 1 (06): : 317 - 324
  • [49] Distribution network reconfiguration for loss reduction using fuzzy controlled evolutionary programming
    Song, YH
    Wang, GS
    Johns, AT
    Wang, PY
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1997, 144 (04) : 345 - 350
  • [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,