Abstract
To improve the accuracy of fault location for distribution Internet of Things in electricity based on feeder terminal units (FTUs), the ant colony optimization algorithm is used. The basic principle of fault location for distribution Internet of Things in electricity and the ant colony optimization algorithm is introduced, and the programs of fault location for distribution Internet of Things in electricity based on the improved unified matrix algorithm and the ant colony optimization algorithm are written. They are used to locate fault for distribution network with dual power supply. The results reveal that if all FTUs contain correct information, the unified matrix algorithm and the ant colony optimization algorithm can accurately locate fault. If some FTUs contain false information, the improved unified matrix algorithm may get the wrong results. However, the ant colony optimization algorithm can obtain accurate result when only small quantities of FTU information are false. The computation time of the ant colony optimization algorithm is much longer than that of the improved unified matrix algorithm. The ant colony optimization algorithm is more suitable for the case in which FTU information is easily false.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
