Application of Genetic Algorithm for Reconfiguration of Shipboard Power System

@article{Padamati2007ApplicationOG,
  title={Application of Genetic Algorithm for Reconfiguration of Shipboard Power System},
  author={K. R. Padamati and N. Schulz and A. K. Srivastava},
  journal={2007 39th North American Power Symposium},
  year={2007},
  pages={159-163}
}
Reconfiguration of the electrical network in a shipboard power system is a critical activity that is required to either restore service to a lost load or to meet some operational requirements of the ship. Reconfiguration refers to changing the topology of the power system in order to isolate system damage and/or optimize certain characteristics of the system related to power efficiency. When finding the optimal state, it is important to have a method that finds the desired state within a short… CONTINUE READING
Highly Cited
This paper has 44 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 29 extracted citations

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Fast Reconfiguration Algorithm Development for Shipboard Power Systems,

  • Yan Haung
  • Master of Science Thesis,
  • 2006
Highly Influential
3 Excerpts

Genetic Algorithm for Supply Restoration and Optimal Load Shedding in Power System Distribution Networks

  • W. P. Luan, M. R. Irving, J. S. Daniel
  • IEE Proceedings of Generation, Transmission and…
  • 2002
1 Excerpt

General reconfiguration methodology for AC radial shipboard power systems

  • K LBulter, D RSarmaN
  • IEEE 2000 Power Engineering Society Winter…
  • 2000
2 Excerpts

A new method of network reconfiguration for service restoration in shipboard power systems

  • K LBulter, D RSarmaN, V RPrasad
  • IEEE Power Engineering Society Transmission and…
  • 1999
2 Excerpts

An Introduction to Genetic Algorithms

  • Melanie Mitchell
  • 1999
2 Excerpts

Investigation of Optimization Methods Used for Reconfiguration of the Naval Electric Ship Power System

  • Chance Daniel Meek
  • Master of Science thesis, University of Texas…

Similar Papers

Loading similar papers…