• DocumentCode
    656272
  • Title

    Optimal load sharing using droop control and fuzzy control in uninterruptible smart house

  • Author

    Miyagi, Masaya ; Morinaga, Satoshi ; Shiroma, Yuhei ; Funabashi, Toshihisa

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    103
  • Lastpage
    108
  • Abstract
    Currently, use of the electric vehicle (EV) has begun to spread rapidly and there is a possibility that the EV can be connected with the smart house to control charging or discharging operations. In this case, the smart house has to perform optimal load sharing control according to the state of charge of the storage battery and the battery capacity. In this paper, a method of optimal load sharing using droop control and fuzzy control is proposed for a smart house which is equipped with a PV system, EV, storage battery, and HEMS. Optimal load sharing is achieved by changing the droop characteristics of the each inverters which connected to the PV system, storage battery, and EV by using fuzzy control. The effectiveness of the proposed method is verified by simulation results in the Matlab®/SimPowerSystems environment.
  • Keywords
    battery storage plants; building management systems; fuzzy control; load regulation; optimal control; EV; HEMS; PV system; battery capacity; discharging control; droop control; electric vehicle; fuzzy control; optimal load sharing; storage battery; uninterruptible smart house; Batteries; Electronic mail; Equations; Fuzzy control; Intelligent systems; Inverters; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Energy Electronics Conference (IFEEC), 2013 1st International
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4799-0071-8
  • Type

    conf

  • DOI
    10.1109/IFEEC.2013.6687487
  • Filename
    6687487