• DocumentCode
    707793
  • Title

    Decentralized demand side management and control of PEVs connected to a smart grid

  • Author

    Ramachandran, Bhuvana ; Ramanathan, Alamelu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of West Florida, Pensacola, FL, USA
  • fYear
    2015
  • fDate
    10-13 March 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The recent push for electrified vehicles, including both plug-in hybrid vehicles and pure electric vehicle may further increase peak electrical load if left unmitigated, resulting in more demand for generation and transmission capacities. Fortunately, PEVs can be treated as controllable loads or even power sources under extraneous situations for demand side management (DSM). Although centralized approach certainly performs an effective demand side management, an important concept regarding the privacy of the information access is not already considered. The objective function for this multi objective problem of demand side power management and decentralized control is the total electricity generation cost and cost associated with implementing the demand side management programs. Thus saving a unit of electricity because of implementing demand side management can be treated like producing a unit of electricity by a power plant. The main constraint related to DSM is that the maximum expected saving that could be achieved by implementing DSM is capped to a realistic maximum limit. The framework is flexible and could incorporate any meta-heuristic for multi-objective optimization. This multi objective approach is applied on a test system comprising of 2516 domestic consumers, 296 small consumption firms, 150 medium consumption firms and 4 large consumption firms. It is observed that PEVs could utilize information transfer with the grid to shape the effect exhibited on the overall load. Also the obtained numerical results show that this approach will improve PEV market penetration, especially relative to centralized strategies that could deter consumers who wish to independently determine their charging strategy.
  • Keywords
    demand side management; hybrid electric vehicles; power markets; power system control; smart power grids; PEV control; PEV market penetration; consumption firms; decentralized demand side management; demand side power management; domestic consumers; electricity generation; meta-heuristic; multiobjective optimization; multiobjective problem; plug-in hybrid electric vehicles; power plant; power sources; smart grid; Computer architecture; Linear programming; Optimization; Power demand; Schedules; Vehicles; Wheels; Charge control; demand side management; hyper heuristics; multi-objective optimization; plug in electric vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference (PSC), 2015 Clemson University
  • Conference_Location
    Clemson, SC
  • Type

    conf

  • DOI
    10.1109/PSC.2015.7101679
  • Filename
    7101679