Abstract
To detect and locate the short-circuit fault area quickly and accurately in the microgrid can reduce its impact on the large power grid under grid-connected mode. Therefore, it is necessary to study the waveform characteristics of short-circuit fault current in the microgrid under grid-connected mode. In this paper, a short-circuit fault simulation model is established in PSCAD. And the current information is monitored at the connection points between feeders and common bus of microgrid. Wavelet energy spectrum algorithm is used to analyze the detected current waveforms, and the characteristics of current waveforms are studied when various types of short-circuit faults occur. The simulation results show that the high-scale wavelet energy spectrum transform algorithm can identify and extract fault features, which provides a theoretical basis for the fast detection and location of short-circuit faults in microgrid in the future.
Sign-in/Register to access full text options 
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.
