article · 2002
A technique for generating software models of microprocessor-based relays
T.S. Sidhu, M. Hfuda, Manoj Sachdev
Cited by 2Abstract and details only
Abstract
This paper presents a technique for automatic generation of software models for any type of microprocessor-based relay. The proposed technique has been developed into an interactive software package which collects relay specifications and produces a software model for the intended relay. The generated models also provide animated performance display during simulation runs and include tools for post analysis of online computed parameters. To demonstrate the accuracy of the proposed technique, software models for an overcurrent relay and a distance relay were produced and tested. Their performance was compared against results obtained from testing the physical relays. The comparisons proved the generated models to be very accurate in calculated parameters and trip timings. Some results are included in the paper.
Cite this paper
Sidhu, T., Hfuda, M., & Sachdev, M. (2002). A technique for generating software models of microprocessor-based relays. https://doi.org/10.1109/ccece.1998.682741
Sidhu, T.S., et al. “A technique for generating software models of microprocessor-based relays.” vol. 1, 2002, pp. 289–92, https://doi.org/10.1109/ccece.1998.682741.
Sidhu, T.S., M. Hfuda, and Manoj Sachdev. 2002. “A technique for generating software models of microprocessor-based relays.” https://doi.org/10.1109/ccece.1998.682741.
Sidhu, T., Hfuda, M. and Sachdev, M. (2002) ‘A technique for generating software models of microprocessor-based relays’. Available at: https://doi.org/10.1109/ccece.1998.682741.
@article{sidhu2002technique,
title = {{A technique for generating software models of microprocessor-based relays}},
author = {Sidhu, T.S. and Hfuda, M. and Sachdev, Manoj},
volume = {1},
pages = {289--292},
year = {2002},
doi = {10.1109/ccece.1998.682741}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.