• DocumentCode
    2603672
  • Title

    Design of energy management system in distributed power station

  • Author

    Yang, Zilong ; Wu, Chunsheng ; Liao, Hua ; Xu, Honghua

  • Author_Institution
    Dept. of Renewable Energy Source, Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an energy management system (EMS) for a grid-interactive droop-controlled distributed power station, which adjust inverter output based on the power source. The control architecture consists of two levels of hierarchy: (1) the P/Q droop control method of every inverter which can manage the output power of each unit in order to avoid critical communication lines; (2) the management of the distributed power station (DPS) through the control of the setpoints of the units in function of the battery charge level for different operation mode. A DPS Matlab/Simulink model includes two 10 kW and one 5 kW PV/battery/inverter systems was setup and optimized inverter outputs are then implement in real-time by the EMS.
  • Keywords
    distributed power generation; energy management systems; invertors; power distribution control; DPS Matlab-Simulink model; P-Q droop control method; PV-battery-inverter systems; energy management system; grid-interactive droop-controlled distributed power station; power 10 kW; power 5 kW; power source; Battery management systems; Communication system control; Communication system operations and management; Energy management; Inverters; Mathematical model; Medical services; Power generation; Power system management; Power system modeling; Inverter; PV array; distribution power station (DPS); droop control; energy management system (EMS); energy storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348233
  • Filename
    5348233