• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Jin, Tao (Jin, Tao.) [1] (Scholars:金涛) | Lu, Siyuan (Lu, Siyuan.) [2] | Zhang, Yizhen (Zhang, Yizhen.) [3] | Costa Flesch, Rodolfo Cesar (Costa Flesch, Rodolfo Cesar.) [4]

Indexed by:

EI Scopus

Abstract:

In response to the demand to improve efficiency and reliability of power system, the growing number of distributed generation (DG) has been implemented in distribution networks, making the networks more complicated. Combined with fault current information collected by feeder terminal unit (FTU) and fault switch function, this paper proposes a binary global-best harmony search algorithm (BGHS) to provide an accurate fault section location method for distribution networks with DG. The proposed algorithm adopts binary coding mode to fit the characteristics of the switch function, and employs the best harmony to perform pitch adjustment that enhances the accuracy and convergence rate. The correctness and feasibility of the algorithm is validated in a test distribution network with DG. The simulation results have shown remarkable accuracy in fault section location. Compared with harmony search (HS) algorithm and genetic algorithm (GA) in terms of number of premature convergences, convergence rate and computation time, the proposed algorithm shows a better performance. © 2019 IEEE.

Keyword:

Distributed power generation Electric power transmission networks Genetic algorithms Learning algorithms Location Smart power grids

Community:

  • [ 1 ] [Jin, Tao]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Lu, Siyuan]Nanjing Special Equipment Safety Supervision, Inspection Institute, Nanjing; 210019, China
  • [ 3 ] [Zhang, Yizhen]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Costa Flesch, Rodolfo Cesar]Department of Automation and Systems, Federal University of Santa Catarina, Florianopolis; 88040900, Brazil

Reprint 's Address:

Email:

Show more details

Related Keywords:

Source :

Year: 2019

Page: 262-269

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:252/10045242
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1