• DocumentCode
    40182
  • Title

    Optimal configuration of underground cables to maximise total ampacity considering current harmonics

  • Author

    Zarchi, Davoud Abootorabi ; Vahidi, B. ; Haji, Moosa Moghimi

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    8
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    1090
  • Lastpage
    1097
  • Abstract
    This study presents an efficient algorithm to find optimal underground cable configuration with maximum ampacity in a concrete duct bank. The current´s harmonics and its effects on the sheath losses are considered in the proposed algorithm. To find the optimal configuration of the cables in the duct bank, two heuristic optimisation methods are applied: the first algorithm is the well-known particle swarm optimisation (PSO), and the second one is the shuffled frog-leaping algorithm (SFLA) which has attracted considerable attraction in recent years. The objective function of these methods which has to be optimised is total ampacity. Calculating the total ampacity for a required configuration by using PSO/SFLA is a convex optimisation problem. The interior point method is utilised to solve this problem. The proposed method has been implemented on four test cases to show the importance of considering the current harmonics in determining the optimal configuration. To evaluate the performance of the PSO and the SFLA, the obtained results are compared in different test cases.
  • Keywords
    convex programming; heuristic programming; particle swarm optimisation; power cables; power system harmonics; underground cables; PSO; SFLA; concrete duct bank; convex optimisation problem; current harmonics; heuristic optimisation methods; interior point method; objective function; particle swarm optimisation; sheath losses; shuffled frog-leaping algorithm; total ampacity maximization; underground cable conflguration;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2013.0349
  • Filename
    6826885