Advertisement

Transmission Network Planing Using Genetic Algorithms

  • M. R. Irving
  • H. M. Chebbo
  • S. O. Orero
Chapter
Part of the International Series on Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 20)

Abstract

There has recently been considerable interest in Genetic Algorithms, and other evolutionary techniques, among researchers in various application fields. The simplicity, flexibility and robustness of such algorithms has opened up new areas of application, and has also encouraged a re-appraisal of some traditional problems that were either very difficult or even intractable for traditional optimisation techniques.

Keywords

Genetic Algorithm Problem Class Penalty Cost Population Member Mathematical Programming Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Holland, J.H. (1975) Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, Mass.Google Scholar
  2. 2.
    Goldberg, D.E. (1989) Genetic Algorithms in Search, Optimisation and Machine Learning, Addison-Wesley, Reading, Mass.Google Scholar
  3. 3.
    Kirkpatrick, S., Gellat, C.D. and Vecchi, M.P. (1983) Optimization by Simulated Annealing, Science, 220, pp 671–680MathSciNetzbMATHCrossRefGoogle Scholar
  4. 4.
    Whitley, D. (1994) A Genetic Algorithm Tutorial, Statistics and Computing, 4, 2, pp 65–85CrossRefGoogle Scholar
  5. 5.
    Mahfoud, S. (1992) Crowding and Pre-selection in Genetic Algorithms, from Parallel Problem Solving from Nature 2, R. Manner and B. Manderick (Ed.$), Elsevier, pp 27–36.Google Scholar
  6. 6.
    Orero, S.O. (1996) Power Systems Generation Scheduling and Optimisation using Evolutionary Computation Techniques, Ph.D. thesis, Brunel University, Middlesex, UKGoogle Scholar
  7. 7.
    Orero, S.O. and Irving, M.R. (1997) Large Scale Unit Commitment using a Hybrid Genetic Algorithm, Int. Jnl. of Electrical Power and Energy Systems, 19, pp 45–55.CrossRefGoogle Scholar
  8. 8.
    Orero, S.O. and Irving, M.R. (1998) A Genetic Algorithm Modelling Framework and Solution Technique for Short Term Optimal Hydro-thermal Scheduling, IEEE Trans. Power Systems, 13, 2, pp 501–518CrossRefGoogle Scholar
  9. 9.
    Chebbo, H.M. and Irving, M.R. (1997) Application of Genetic Algorithms to Transmission Planning, IEE GALESIA conf, Glasgow, pp 388–393Google Scholar
  10. 10.
    De Jong, K.A. (1975) An Analysis of the Behaviour of a Class of Genetic Adaptive Systems, Ph.D. thesis, University of Michigan, Ann Arbor, USAGoogle Scholar
  11. 11.
    Chanda, R.S. and Bhattacharjee, P.K. (1994) Application of Computer Software in Transmission Expansion Planning using Variable Load Structure, Electric Power Systems Research, 31, pp 13–20CrossRefGoogle Scholar
  12. 12.
    Giles, M.L. (1986) Optimum HVAC Transmission Planning — a New Formulation, IEEE Trans. Power Systems, 1, pp 48–56.CrossRefGoogle Scholar
  13. 13.
    Santos, A., Franca, P.M. and Said, A. (1989) An Optimisation Model for Long Range Transmission Expansion Planning, IEEE Trans. Power Systems, 4, pp 94–101.CrossRefGoogle Scholar
  14. 14.
    Pereira, M.V.F., Pinto, L.M.V.G., Cunha, S.H.F. and Oliveira, C.G. (1985) A Decomposition Approach to Automated Generation/Transmission Expansion, IEEE Trans. Power Apparatus and Systems, 104, pp 3074–3083.CrossRefGoogle Scholar
  15. 15.
    Romero, R. and Monticelli, A. (1994) A Zero-One Implicit Enumeration Method for Optimising Invetsments in Transmission Expansion Planning, IEEE Trans. Power Systems, 9, 3, pp 1385–1391.CrossRefGoogle Scholar
  16. 16.
    Rudnick, H., Palma, R., Cura, E. and Silva, C. (1996) Economically Adapted Transmission Systems in Open Access Schemes — Application of Genetic Algorithms, IEEE Trans. Power Systems, 11, pp 1427–1433.CrossRefGoogle Scholar
  17. 17.
    Monticelli, A., Santos, A., Pereira, M.V.F., Cunha, S.H.F., Parker, B.J. and Praca, J.C.G. (1982) Interactive Transmission Network Planning using a Least-Effort Criterion, IEEE Trans. Power Apparatus and Systems, 101, 10, pp 3919–3925CrossRefGoogle Scholar
  18. 18.
    Latorre-Bayonna, G. and Perez-Arraga, I. (1994) Choppin - a Heuristic Model for Long Term Transmission Expansion Planning, IEEE PES Winter Meeting, New YorkGoogle Scholar
  19. 19.
    Knight, U.G. (1972) Power Systems Engineering and Mathematics, Pergamon Press, London, UKGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • M. R. Irving
    • 1
  • H. M. Chebbo
    • 1
  • S. O. Orero
    • 1
  1. 1.Department of Electrical Engineering and ElectronicsBrunel UniversityUxbridgeUK

Personalised recommendations