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Oppositional Artificial Hummingbird Algorithm Based Fault Location Optimisation for Transmission Line

  • 2024
  • OriginalPaper
  • Chapter
Published in:
Authors
Sushma Verma
Provas Kumar Roy
Barun Mandal
Indranil Mukherjee
Published in
Innovations in Energy Management and Renewable Resources
Publisher
Springer Nature Singapore

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Abstract

The chapter discusses the critical role of transmission line protection in power system reliability and the importance of accurate and quick fault location. It introduces the Oppositional Artificial Hummingbird Algorithm (OAHA) as a novel solution for fault location optimization, inspired by the navigational skills of hummingbirds. The OAHA algorithm is compared with traditional methods based on impedance measurement and traveling waves, highlighting its superior performance in terms of accuracy and speed. The study presents simulation results for various fault types and resistances, demonstrating the algorithm's effectiveness and potential for real-world applications in power system management.
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previous chapter Stability Analysis of Renewable Fed Distribution Systems Simulated with Hybrid Energy Resources
next chapter Optimal Placement of the Renewables in a Distribution System Using a Novel Performance Indices for Minimizing the Power Loss
Title
Oppositional Artificial Hummingbird Algorithm Based Fault Location Optimisation for Transmission Line
Authors
Sushma Verma
Provas Kumar Roy
Barun Mandal
Indranil Mukherjee
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Innovations in Energy Management and Renewable Resources

Print ISBN: 978-981-9763-89-4

Electronic ISBN: 978-981-9763-90-0

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-6390-0_22
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