• DocumentCode
    149351
  • Title

    Optimal allocation, sizing and energy management of PHEV parking lots in distribution system

  • Author

    El-Zonkoly, Amany ; Ashour, Hamdy ; Ahmed, Arif

  • Author_Institution
    Dept. of Electr. & Control Eng., AAST, Alexandria, Egypt
  • fYear
    2014
  • fDate
    25-27 March 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The emerging of plug-in-hybrid electric vehicles (PHEV) results in the increase in the utilization of vehicles batteries for grid support. This paper presents a multi-objective algorithm to optimally determine the number of parking lots to be allocated in a distribution system. In addition, the algorithm optimally selects the locations and sizes of these parking lots. The proposed algorithm determines also the corresponding energy scheduling of the system resources. The objective of the proposed algorithm is to minimize the overall energy cost of the system. The problem is formulated as an optimization problem which is solved using artificial bee colony (ABC) algorithm taking into consideration the power system and PHEV operational constraints. The proposed algorithm is applied to a 33-bus radial distribution network. The test results indicate an improvement in the operational conditions of the system.
  • Keywords
    ant colony optimisation; battery powered vehicles; distribution networks; energy management systems; power grids; 33-bus radial distribution network; ABC algorithm; PHEV parking lots; artificial bee colony algorithm; distribution system; energy management; energy scheduling; grid support; multiobjective algorithm; optimal allocation; optimization problem; plug-in-hybrid electric vehicles; vehicles batteries; Batteries; Discharges (electric); Energy management; Optimization; Partial discharges; Power systems; Vehicles; ABC optimization; Energy management; PHEV; distribution system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Congress (IREC), 2014 5th International
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4799-2196-6
  • Type

    conf

  • DOI
    10.1109/IREC.2014.6827018
  • Filename
    6827018