• DocumentCode
    1475286
  • Title

    Allocation of Network-Driven Load-Management Measures Using Multiattribute Decision Making

  • Author

    Baboli, Payam Teimourzadeh ; Moghaddam, Mohsen Parsa

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • Volume
    25
  • Issue
    3
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    1839
  • Lastpage
    1845
  • Abstract
    In restructured power systems, the independent system operator (ISO) has to maintain system reliability at an acceptable level. In addition to the expected energy not supplied (EENS) as a reliability index, the total grid losses are another system operators´ anxieties. Load management (LM) is an effective mean to achieve a suitable network operational condition. The optimum allocation of LM program is of great practical interest. This paper presents a multiattribute decision-making for allocation of network-driven load-management (NDLM) measures. The objectives of the optimization problem are defined as minimization of the EENS, minimization of total grid losses, and maximization of load-management capacity. It has been shown that these objectives are conflicting aspects of an NDLM program which is solved by the STEM interactive method. The IEEE reliability test system is used to demonstrate the effectiveness of the proposed methodology.
  • Keywords
    IEEE standards; decision making; load management; optimisation; power system reliability; EENS minimization; IEEE reliability test system; NDLM; STEM interactive method; expected-energy-not-supplied; independent system operator; multiattribute decision making; network driven load management allocation; optimization problem; power grid losses; power system reliability; Multiattribute decision making (MADM); STEM interactive method; network-driven load management (NDLM); reliability evaluation; sensitivity indices;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2045517
  • Filename
    5451175