TY - GEN
T1 - Research summary on fault location technology of power distribution network based on intelligent algorithm
AU - Li, Hai
AU - Zhou, Yunjie
AU - He, Bangle
AU - Zhou, Jie
AU - Hong, Zhou
AU - Yang, Tianyu
AU - Sun, Jinghua
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/1/19
Y1 - 2024/1/19
N2 - With the development of social economy, it is of great significance to study the distribution network fault detection and positioning technology to improve the reliability of power supply. This paper describes the common methods, including signal injection method, impedance method, ratio method, traveling wave method and intelligent algorithm. At the same time, the advantages and disadvantages of these methods, the application scope and the practical application effect are compared and sorted out. The results show that the intelligent algorithm has good speed, accuracy and fault tolerance in the fault location of the distribution network. Subsequently, the principle and application of intelligent algorithm are elaborated in detail, and the neural network, ant colony algorithm and different fault location algorithms based on HHT and genetic algorithm are listed. The core technology points of these algorithms are introduced one by one, showing the strong advantages of intelligent algorithm in the fault positioning of the distribution network. To sum up, intelligent algorithm is likely to become an important technical means for fault positioning of distribution network in the future, and has important theoretical and research significance for power grid security and technical development.
AB - With the development of social economy, it is of great significance to study the distribution network fault detection and positioning technology to improve the reliability of power supply. This paper describes the common methods, including signal injection method, impedance method, ratio method, traveling wave method and intelligent algorithm. At the same time, the advantages and disadvantages of these methods, the application scope and the practical application effect are compared and sorted out. The results show that the intelligent algorithm has good speed, accuracy and fault tolerance in the fault location of the distribution network. Subsequently, the principle and application of intelligent algorithm are elaborated in detail, and the neural network, ant colony algorithm and different fault location algorithms based on HHT and genetic algorithm are listed. The core technology points of these algorithms are introduced one by one, showing the strong advantages of intelligent algorithm in the fault positioning of the distribution network. To sum up, intelligent algorithm is likely to become an important technical means for fault positioning of distribution network in the future, and has important theoretical and research significance for power grid security and technical development.
KW - Fault location
KW - Genetic algorithm
KW - Single phase grounding
UR - http://www.scopus.com/inward/record.url?scp=85203160992&partnerID=8YFLogxK
U2 - 10.1145/3674225.3674298
DO - 10.1145/3674225.3674298
M3 - Conference contribution
AN - SCOPUS:85203160992
T3 - ACM International Conference Proceeding Series
SP - 410
EP - 415
BT - Proceedings of 2024 International Conference on Power Electronics and Artificial Intelligence, PEAI 2024
PB - Association for Computing Machinery
T2 - 2024 International Conference on Power Electronics and Artificial Intelligence, PEAI 2024
Y2 - 19 January 2024 through 21 January 2024
ER -