Fault location method of active distribution network based on improved artificial bee colony algorithm
- Resource Type
- Conference
- Authors
- Sun, Xinjie; Shen, Zhangliang; Jing, Jiangping; Zhao, Shuai
- Source
- 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Information Technology and Artificial Intelligence Conference (ITAIC), 2022 IEEE 10th Joint International. 10:163-167 Jun, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Simulation
IEEE Sections
Distribution networks
Fault location
Artificial bee colony algorithm
Mathematical models
Active distribution networks
distribution network
fault location
model driven
artificial bee colony algorithm
machine learning
failure recovery
power systems
soft computing
- Language
- ISSN
- 2693-2865
With a large number of distributed power sources connected to the distribution network, it has brought a huge impact to the fault waveform of the distribution network. Considering the governance problems after the failure of the distributed distribution network, how to realize the failure after the failure of the active distribution network positioning research is a key link for active distribution network failure recovery. This paper considers the characteristics of the fault current flow in the active distribution network, and uses the artificial bee colony algorithm to search for the faulty section. Simulation results show the effectiveness of the proposed algorithm.