Open AccessFault Location for Multi-source Distribution Network Based on Improved Chaotic Jaya Algorithm
Author(s) -
Jian Zhou,
Shenxing Shi,
Yong Cui,
Yanling Su,
Min Wang,
Chao Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2095/1/012016
Subject(s) - algorithm , fault (geology) , computer science , chaotic , power flow , position (finance) , power (physics) , grid , energy (signal processing) , electric power system , mathematics , artificial intelligence , statistics , physics , geometry , finance , quantum mechanics , seismology , economics , geology
Due to the wide access of distributed energy in the distribution network, the structure of the distribution network becomes complex and diverse, and the power flow distribution is flexible and changeable. To optimize the fault location performance of the multisource distribution network, this paper proposes a power grid fault location solution method based on the improved Jaya algorithm. By combining the chaos theory with the Jaya algorithm, the individual position iteration of the algorithm is optimized to improve the algorithm’s global optimization capability and speed up the fault location. Through the example test and comparison with the traditional algorithm, the experimental results verify the effectiveness and superiority of this method.