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Distribution Network Fault Location Based on Intelligent Algorithm Research by Kuo-Chi Chang; Rongsheng Zhang; Hui-Qiong Deng; Fu-Hsiang Chang; Hsiao-Chuan Wang; Tsui- Lien Hsu is a book available to read on EtoBox.

What is Distribution Network Fault Location Based on Intelligent Algorithm Research about?

With the development of science and technology, many scholars study artificial intelligence technology in distribution network fault location. In recent times, there have been many achievements made by many researchers, of which some were the application of particle swarm optimization [1, 2], genetic algorithm , ant colony algorithm . This paper describes the application of a bistate binary particle swarm optimization algorithm, multiple population genetic algorithm, and hybrid ant colony algorithm, the optimized intelligent algorithm in the distribution network's fault location. In distribution network fault location, traditional algorithms have more limitations, which need further improvement to make them more perfect-comparing the simulation data obtained before and after optimization shows that the optimized algorithm has faster convergence speed, higher accuracy, and higher fault location efficiency.

Author

Kuo-Chi Chang; Rongsheng Zhang; Hui-Qiong Deng; Fu-Hsiang Chang; Hsiao-Chuan Wang; Tsui- Lien Hsu

Publisher

Springer International Publishing : Imprint: Springer

Published

2021

Language

EN

ISBN

9783030763473

Subjects

Science, Computer Science, Engineering