• DocumentCode
    3693032
  • Title

    Comprehensive distribution network expansion plannig: A dynamic approach

  • Author

    Amir Bagheri;Hassan Monsef;Hamid Lesani

  • Author_Institution
    School of ECE, University of Tehran, Iran
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    156
  • Lastpage
    165
  • Abstract
    The advances in clean energy technologies have made the renewable resources more attractive for distribution network operators as they are inexhaustible and non-polluting. In this paper, a comprehensive dynamic distribution network expansion planning (DDNEP) is proposed which takes into account most of the planning alternatives along with renewable and non-renewable distributed generation (DG). The proposed approach considers both investment and operational costs. The uncertainties regarding the intermittent nature of renewable DGs, load demand, and energy price are regarded in calculating the cost components. For a precise calculation of operation and interruption costs, the load duration curve (LDC) has been used for the loads. Moreover, the possibility of islanding and load transferring through the reserve feeders have been regarded in to improve the network reliability. In numerical study, a combination of genetic algorithm (GA) and optimal power flow (OPF) is employed to solve the integrated problem in 54-bus test system. The simulation results verify the efficiency of the proposed approach.
  • Keywords
    "Biological cells","Conductors","Wind speed","Artificial neural networks","Silicon carbide","Simulation","MATLAB"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power Distribution Networks Conference (EPDC), 2015 20th Conference on
  • Type

    conf

  • DOI
    10.1109/EPDC.2015.7330489
  • Filename
    7330489