• DocumentCode
    725485
  • Title

    Electric energy storage systems integration in distribution grids

  • Author

    Di Giorgio, Alessandro ; Liberati, Francesco ; Lanna, Andrea

  • Author_Institution
    Dept. of Comput., Control & Manage. Eng., “Sapienza” Univ. of Rome, Rome, Italy
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    1279
  • Lastpage
    1284
  • Abstract
    This paper presents a real time control strategy for dynamically balancing electric demand and supply at local level, in a scenario characterized by a HV/MV substation with the presence of renewable energy sources in the form of photovoltaic generators and an electric energy storage system. The substation is connected to the grid and is powered by an equivalent traditional power plant playing the role of the bulk power system. A Model Predictive Control based approach is proposed, by which the active power setpoints for the traditional power plant and the storage are continually updated over the time, depending on generation costs, storage´s state of charge, foreseen demand and production from renewables. The proposed approach is validated on a simulation basis, showing its effectiveness in managing fluctuations of network demand and photovoltaic generation in test and real conditions.
  • Keywords
    demand side management; energy storage; power generation control; predictive control; smart power grids; substations; supply and demand; HV substation; MV substation; active power; distribution grids; electric demand and supply; electric energy storage systems; model predictive control; network demand; photovoltaic generators; renewable energy sources; traditional power plant; Density estimation robust algorithm; Photovoltaic systems; Production; Renewable energy sources; Substations; Demand Response; Energy Storage System; Model Predictive Control; Renewable Energy Sources; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165354
  • Filename
    7165354