• DocumentCode
    2688649
  • Title

    Multi-objective optimization for environmental/economic microgrid scheduling

  • Author

    Parisio, Alessandra ; Glielmo, Luigi

  • Author_Institution
    Dept. of Eng., Univ. degli Studi del Sannio, Benevento, Italy
  • fYear
    2012
  • fDate
    27-31 May 2012
  • Firstpage
    17
  • Lastpage
    22
  • Abstract
    Microgrids are subsystems of the distribution grid which comprises small generation capacities, storage devices and controllable loads, which can operate either connected or isolated from the utility grid. A microgrid has the ability to increase energy efficiency and reduce emissions. This paper studies the microgrid environmental/economic problem, i.e. the problem of optimizing microgrid operations to fulfil a time-varying energy demand and operational constraints while achieving a tradeoff between microgrid running costs and emissions. The problem is posed as a multi-objective mixed-integer linear optimization problem, which is solved in an efficient way by using commercial solvers. A case study of a typical microgrid is investigated: simulation results show the feasibility and the effectiveness of the proposed approach.
  • Keywords
    distributed power generation; optimisation; power distribution economics; power generation scheduling; commercial solvers; controllable loads; distribution grid; environmental/economic microgrid scheduling; generation capacity; microgrid running costs; microgrid running emissions; multiobjective mixed-integer linear optimization problem; operational constraints; storage devices; time-varying energy demand constraints; utility grid; Economics; Generators; Load modeling; Optimization; Renewable energy resources; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4673-1420-6
  • Type

    conf

  • DOI
    10.1109/CYBER.2012.6392519
  • Filename
    6392519