• DocumentCode
    829570
  • Title

    The effect of pumped storage and battery energy storage systems on hydrothermal generation coordination

  • Author

    Lee, Tsung-Ying ; Chen, Nanming

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
  • Volume
    7
  • Issue
    4
  • fYear
    1992
  • fDate
    12/1/1992 12:00:00 AM
  • Firstpage
    631
  • Lastpage
    637
  • Abstract
    A simulated battery energy storage (BES) system is considered for integration into Taiwan Power Company System to study the economic benefits of the BES. The system had a pumped storage power plant with four units. The authors applied multipass dynamic programming to the solution of the short term hydrothermal coordination problem considering pumped storage and battery energy storage systems. The algorithm can quickly converge to an optimal generation schedule while achieving the minimum production cost of power systems. Substantial savings of memory and CPU time were realized by using this efficient algorithm. The load, committed units, and available water usage data from 9:00 PM June 17, 1988 to 9:00 PM June 24 were used to test this algorithm. Results showed that within 20 minutes on a PC/386 this algorithm could find the optimal generation schedule of all the units and the switching time of the BES while satisfying all the constraints
  • Keywords
    digital simulation; dynamic programming; energy storage; hydrothermal power systems; load (electric); power system analysis computing; pumped-storage power stations; scheduling; secondary cells; Taiwan; algorithm; battery energy storage; digital simulation; generation coordination; hydrothermal power systems; load; multipass dynamic programming; optimal generation schedule; optimisation; power system analysis computing; production cost; pumped storage power plant; switching time; Batteries; Cost function; Dynamic programming; Energy storage; Power generation; Power generation economics; Power system dynamics; Power system economics; Production systems; Scheduling algorithm;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.182644
  • Filename
    182644