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HSOS: a novel hybrid algorithm for solving the transient-stability-constrained OPF problem

  • Anulekha SahaEmail author
  • Aniruddha Bhattacharya
  • Priyanath Das
  • Ajoy Kumar Chakraborty
Methodologies and Application
  • 31 Downloads

Abstract

This article presents a new algorithm aimed toward effective handling of the transient-stability-constrained optimal power flow (TSC_OPF) problem. The algorithm is a hybridized version of the existing differential evolution (DE) and symbiotic organism search (SOS) algorithms. It combines exploration and exploitation ability of both algorithms which results in its better performance as compared to DE and SOS acting alone. It was tested on IEEE 30 bus test system and the New England 39 bus test system. The results obtained by the proposed approach were compared with conventional TSC_OPF and also with other algorithms available in the literature. Results obtained using the proposed approach demonstrates superiority in comparison with other available algorithms in the literature.

Keywords

Critical clearing time Differential evolution Evolutionary algorithms Optimal power flow Transient-stability-constrained optimal power flow Symbiotic organisms search 

Notes

Compliance with ethical standards

Conflict of interest

The authors hereby declare that there are no conflicts of interest in the work done.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNational Institute of Technology AgartalaAgartalaIndia
  2. 2.Department of Electrical EngineeringNational Institute of Technology DurgapurDurgapurIndia

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