http://iet.metastore.ingenta.com
1887

access icon openaccess Large-scale multi-zone optimal power dispatch using hybrid hierarchical evolution technique

Loading full text...

Full text loading...

/deliver/fulltext/joe/2014/3/JOE.2013.0262.html;jsessionid=16hd8oi0cne77.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fjoe.2013.0262&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Wood, A.J., Wollenberg, B.F.: ‘Power generation, operation and control’ (John Wiley & Sons, 1984).
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • 23. Vaisakh, K., Praveena, P., Mohana Rao, S.R., Meah, K.: ‘Solving dynamic economic dispatch problem with security constraints using bacterial foraging PSO-DE algorithm’, Expert Syst. Appl., 2012, 39, pp. 5667.
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
    31. 31)
      • 31. Ratnaweera, A., Halgamuge, S.K., Watson, H.C.: ‘Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients’, IEEE Trans. Power Syst., 2004, 8, (3), pp. 240255.
    32. 32)
      • 32. Kennedy, J., Eberhart, R.: ‘Particle swarm optimization’. IEEE Int. Conf. Neural Networks (ICNN′95), IV, Perth, Australia, 1995, pp. 19421948.
    33. 33)
      • 33. Storn, R., Price, K.: ‘Differential evolution: a simple and efficient adaptive scheme for global optimization over continuous spaces’. Technical Report, TR-95-012, International Computer Science Institute, Berkeley, CA, 1995.
    34. 34)
    35. 35)
    36. 36)
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2013.0262
Loading

Related content

content/journals/10.1049/joe.2013.0262
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address