A statistics-based genetic algorithm for quality improvements of power supplies


Chan K., Chan K., Pong G. T., Aydin M. E., Fogarty T., Ling S.

European Journal of Industrial Engineering, cilt.3, sa.4, ss.468-492, 2009 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3 Sayı: 4
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1504/ejie.2009.027038
  • Dergi Adı: European Journal of Industrial Engineering
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.468-492
  • Anahtar Kelimeler: Evolutionary algorithm, Orthogonal array, Power supplies, Power systems
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated with the characteristics of the stochastic method, evolutionary algorithm and a more systematical statistical method, orthogonal design. It intends to compensate for the built-in randomness of the stochastic method and, at the same time, overcome the limitations of local search methods that are not suitable for handling multi-optima problems. Case studies on the WSCC 9-bus and New England 39-bus systems indicate that the proposed approach outperforms the existing method in terms of robustness in solution and convergence speed while the solution quality that can offer a more stable and cheaper power supply to customers is achieved. Copyright © 2009, Inderscience Publishers.