Abstract

There are a large number of power quality problems with large-capacity dedicated line users of the power grid. The monitoring data of power quality presents a large number of irregular characteristics. The signal samples obtained directly by measuring the signals contain a lot of complicated and useless information, and cannot be used for the type identification of special load power quality. Regarding this problem, this paper proposes a method for identifying the type of power quality disturbances with special loads based on S transform and support vector machine (SVM). Simulation and actual data experiments show that the method can accurately identify, and it is of great significance for grasping the features of power quality, as well as useful for the supervision, analysis and management of power quality.

Full Text
Paper version not known

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 call

Disclaimer: 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.