• DocumentCode
    637149
  • Title

    Novel dual demand side management (2DSM) scheme in optimizing utilization of available power

  • Author

    Shafer, Muhammad Gary ; Bakar, Kamalrulnizam Abu ; Ramadhani, Farah

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    174
  • Lastpage
    180
  • Abstract
    This paper presents a novel Dual Demand Side Management (2DSM) scheme in order to optimize utilization of available power supply. This scheme combines two method i.e. Direct Load Control (DLC) schedule and proposed Dynamic Power Allocation (DPA). DLC is used to reduce peak load occurrence. In order to maintain the customer satisfaction and comfort level, DLC work based on schedule and load priority technique. Meanwhile, DPA is used to reduce waste power in the system. This method will allocate the waste power to cluster that need more power based on customer power demand request and cluster power exchange program. The allocation process is conducted by adjusting power threshold of customer dynamic Circuit Breaker (CB). Load profile data from twelve feeders on three substations is used as input data. This scheme is simulated using simulator that written in VB. net. The simulation result shows this scheme can reduce peak load and allocate waste power effectively.
  • Keywords
    circuit breakers; demand side management; power system control; power utilisation; available power; cluster power exchange program; customer dynamic circuit breaker; customer satisfaction; direct load control; dual demand side management; dynamic power allocation; power utilization; Automation; Computational intelligence; Decision support systems; Handheld computers; 2DSM; Direct Load Control (DLC); Dynamic Power Allocation (DPA); peak load; waste power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Control and Automation (CICA), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CICA.2013.6611680
  • Filename
    6611680