Efficient Evaluation of Short-Circuit Faults in Active Distribution Networks

Short-circuit problems in unbalanced radial distribution networks have become more common as a result of distributed generation connectivity and smart grid advancements. An accurate and effective strategy for assessing these faults due to short circuits is presented in this study. In contrast to traditional methods, this approach uses relationship matrices that are created expressly to take use of distribution network's radial characteristics. Through the examination of variations in bus voltages, bus current injections, and branch currents during fault conditions, the suggested method formulates the analysis of various fault types. The accuracy of developed method has been validated on IEEE-123 bus modified test network by comparing the obtained results with PSCAD/EMTDC simulation results.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/pedes61459.2024.10961501
Citations
1
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.33
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article

Efficient Evaluation of Short-Circuit Faults in Active Distribution Networks

Ghanshyam Meena, Sukumar Kamalasadan, Krishna Murari, V. P. Singh et al.
1 citations
Power Systems Fault Detection
0.33
article

Efficient Evaluation of Short-Circuit Faults in Active Distribution Networks

Ghanshyam Meena, Sukumar Kamalasadan, Krishna Murari, V. P. Singh, Akhilesh Mathur
article en
1 citations

Abstract

Short-circuit problems in unbalanced radial distribution networks have become more common as a result of distributed generation connectivity and smart grid advancements. An accurate and effective strategy for assessing these faults due to short circuits is presented in this study. In contrast to traditional methods, this approach uses relationship matrices that are created expressly to take use of distribution network's radial characteristics. Through the examination of variations in bus voltages, bus current injections, and branch currents during fault conditions, the suggested method formulates the analysis of various fault types. The accuracy of developed method has been validated on IEEE-123 bus modified test network by comparing the obtained results with PSCAD/EMTDC simulation results.

University of North Carolina at Charlotte (US), Malaviya National Institute of Technology Jaipur (IN), University of Toledo (US)
Openalex Percentile: Top 36%
Power Systems Fault Detection
0.33
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Efficient Evaluation of Short-Circuit Faults in Active Distribution Networks — Ghanshyam Meena, Sukumar Kamalasadan, et al. · (2024) | TGRS Research Map | TGRS