Superimposed current components contain effective information, which can be employed to enhance the dependability and security of busbar protection relays. This study aims to investigate the use of the slope degree of grey incidence analysis model to design a methodology for busbar protection. A grey‐based busbar protection criterion has been established to inspect the similarities of the superimposed currents measured by nearby CTs inside busbar protection zone. It is concluded that fault is internal if all of the superimposed currents are similar, otherwise, fault is external. It is shown that in all of the simulated cases, the authors’ methodology can make reliable discrimination between internal and external faults. Moreover, the results demonstrated that the protection indexes of the proposed scheme including security, dependability, sensitivity, and selectivity, are satisfactory for different conditions including fault type, fault resistance (to 500 Ω), fault inception angle, simultaneous faults, evolving faults, faults during transformer energization, CT saturation and normal operating switchings and white noise. Besides, the improvements noted in our algorithm are achieved with a low computational burden and sampling rate. Also, the scheme can be implemented in digital relays. It means that the existing busbar protection scheme can be replaced by the proposed scheme.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.