Open AccessStudy of distribution network fault location based on IACA
Author(s) -
Xue Li,
Jun Jia,
Jian Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012093
Subject(s) - fault (geology) , reliability (semiconductor) , computer science , power (physics) , distribution (mathematics) , function (biology) , ant colony optimization algorithms , fault model , reliability engineering , algorithm , engineering , mathematics , electronic circuit , electrical engineering , physics , quantum mechanics , evolutionary biology , biology , mathematical analysis , seismology , geology
The probability of the distribution network fault is the highest in power network. Correct fault location of distribution network is very important for the reliability of power supply. A simplified model of distribution network is established in the paper. Then the switching function and evaluation function are introduced for distribution network fault location. Because of some defects in fault section location of distribution network in ACA(Ant Colony Algorithm), the IACA(Improvement Ant Colony Algorithm) method is proposed. The results of an example shows that the method was correct and effective.