• DocumentCode
    2907462
  • Title

    Optimization of two-way direct load control based on fuzzy linear programming

  • Author

    Yao, Leehter ; Lu, Hau-Ren

  • Author_Institution
    Dept. of Electr. Engr., Nat. Taipei Univ. of Technol., Taipei
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1894
  • Lastpage
    1901
  • Abstract
    A novel real-time optimization approach for two-way direct load control (TWDLC) of central air conditioning chillers are proposed. For TWDLC, the main computer in the control center constantly monitors the average controllable load of every customer. For real time calculations, a computationally fast and effective approach based on fuzzy linear programming is proposed to determine the shedding ratio of every customer. The proposed optimization approach will minimize the difference between the load required to shed and the load actually shed at each sampling interval. Every customerpsilas contribution to the load shedding is also leveled by the proposed approach. A gateway is installed at every customerpsilas site to coordinate shedding control with the main computer through the Internet. As soon as the gateway receives the expected shedding ratio, it calculates the load required to shed and coordinates all chiller units in operation to conduct load shedding, thereby achieving the load reduction amount.
  • Keywords
    air conditioning; fuzzy set theory; linear programming; load regulation; load shedding; TWDLC; central air conditioning chillers; control center; fuzzy linear programming; load reduction amount; load shedding; real-time optimization approach; two-way direct load control; Air conditioning; Centralized control; Communication system control; Control systems; Fuzzy control; Internet; Linear programming; Load flow control; Medical services; SCADA systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630628
  • Filename
    4630628