• DocumentCode
    3487933
  • Title

    A novel strategy for selection of the optimal number and location of UPFC devices in deregulated electric power systems

  • Author

    Ippolito, L.

  • Author_Institution
    Univ. of Salerno, Fisciano
  • fYear
    2005
  • fDate
    27-30 June 2005
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The increases in power flows and environmental constraints are forcing electricity utilities to install new equipment to enhance network operation. Some application of flexible AC transmission system (FACTS) technologies to existing high-voltage power systems has proved the use of FACTS technology may be a cost-effective option for power delivery system enhancements. Amongst various power electronic devices, the unified power flow controller (UPFC) device has captured the interest of researchers for its capability of regulating the power flow and minimizing the power losses simultaneously. Since for a cost-effective application of FACTS technology a proper selection of the number and placement of these devices is required, the scope of this paper is to propose a methodology, based on a multi-objective power flow and a genetic algorithm, able to identify the optimal number and location of UPFC devices in an assigned power system network for maximizing system capabilities, social welfare and to satisfy contractual requirements in an open market power. In order to validate the usefulness of the approach suggested herein, a case study using a IEEE 30-bus power system is presented and discussed.
  • Keywords
    flexible AC transmission systems; genetic algorithms; load flow control; power transmission control; IEEE 30-bus power system; deregulated electric power systems; flexible AC transmission system; genetic algorithm; high-voltage power systems; multiobjective power flow; power flow regulating; unified power flow controller placement; Contracts; Cost function; Electricity supply industry deregulation; Flexible AC transmission systems; Genetic algorithms; Load flow; Power electronics; Power generation; Power systems; System performance; FACTS; UPFC; genetic algorithms; multi-objective optimization; transmission systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2005 IEEE Russia
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-5-93208-034-4
  • Electronic_ISBN
    978-5-93208-034-4
  • Type

    conf

  • DOI
    10.1109/PTC.2005.4524750
  • Filename
    4524750