• DocumentCode
    2021857
  • Title

    Optimal operation scheduling and economical evaluation method of battery energy storage system in power system with a large penetration of photovoltaic generation

  • Author

    Oka, Yuichi ; Yokoyama, Akihisa

  • Author_Institution
    Dept. of Adv. Energy, Univ. of Tokyo, Tokyo, Japan
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recently a large number of photovoltaic (PV) generations have been installed in power systems. However, the power output from the PV is random and intermittent in nature. Therefore, the PV generation poses many challenges to power system operation. Battery Energy Storage System (BESS) is considered to cope with them but its high cost is preventing BESS from being installed to the system. However, the present cost argument only considers the initial cost and the economic benefit to the society of BESS installation is not considered. Therefore in this paper, the daily optimal operation of BESS is scheduled by using the Tabu search algorithm, and the reduced amount of fuel and CO2 emission by the BESS installation is considered in economical evaluation by the net present value method. As a result, the proposed method has made it possible to evaluate the optimum amount of installed BESS in the power system.
  • Keywords
    battery storage plants; photovoltaic power systems; power generation economics; power generation scheduling; search problems; Tabu search algorithm; battery energy storage system; carbon dioxide emission; daily optimal operation; economic benefit; economical evaluation method; fuel reduction; initial cost; optimal operation scheduling; photovoltaic generation; power system; Discharges (electric); Fuels; Generators; Optimization; Power generation; Power systems; Schedules; Battery Energy Storage System (BESS); Net Present Value Method; Optimal Scheduling; Photovoltaic Generation (PV); Surplus Power Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652320
  • Filename
    6652320