• DocumentCode
    570382
  • Title

    Optimal energy management in community micro-grids

  • Author

    Zhu, Jianmin ; Jafari, Mohsen ; Lu, Yan

  • Author_Institution
    Dept. of Ind. & Syst. Eng., State Univ. of New Jersey, Piscataway, NJ, USA
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this article we present a simulation environment for energy management within community micro-grids. The ultimate objective is to optimally regulate the supply and demand within the micro-grid while ensuring that individual preferences are met and the overall energy consumption is minimized. This article will only focus on the demand management within the community. A simulation environment is developed using GridLAB-D for a baseline and an improved community model. The residential end uses, including electric vehicle charging, are modeled as stochastic and controllable demands. Energy storage capacity is also included. The improved model is used to evaluate different operational alternatives on the basis of individual residential units. Experimental operating conditions are established for the optimization of energy consumption. We show that with properly designed control strategy we are able to reduce the peak load by 8% and hedge against increased EV usage within the community.
  • Keywords
    battery powered vehicles; demand side management; distributed power generation; energy consumption; energy management systems; optimisation; power control; power generation control; power grids; power supply quality; stochastic processes; EV; GridLAB-D; community microgrid; electric vehicle charging; energy consumption; energy control strategy; energy demand management; energy storage capacity; optimal energy management; optimization; power demand regulation; power supply regulation; residential unit; stochastic process; Communities; Electricity; Energy consumption; Load modeling; Renewable energy resources; Schedules; Water heating; Community micro-grid; Power demand; Power system simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303202
  • Filename
    6303202