• DocumentCode
    3267816
  • Title

    Allocation of solar units to reduce annual costs of the distribution system

  • Author

    Sadeghi, Mohammadreza ; Kalantar, Mohsen

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2013
  • fDate
    1-3 Nov. 2013
  • Firstpage
    132
  • Lastpage
    137
  • Abstract
    It is widely accepted that renewable sources can find their significant role in power distribution systems. These non-pollutant resources have a lot of advantages such as reducing active power loss, increasing reliability, supplying the peak load duration time, etc. This paper presents a solar unit planning considering uncertainty of solar radiance in order to reduce the costs of the distribution system including costs of energy loss, energy not supplied costs and the purchased power costs. The uncertainty of solar radiance is modeled with Beta probability density function. The planning problem is formulated as mixed integer nonlinear programming (MINLP) and is tested on a 9 bus distribution system using GAMS software. The results show a significant reduction in costs of distribution system in presence of solar units.
  • Keywords
    cost reduction; distributed power generation; integer programming; nonlinear programming; power distribution economics; power generation economics; power generation planning; probability; solar power stations; Beta probability density function; GAMS software; MINLP; active power loss reduction; annual cost reduction; energy loss; energy not supplied costs; mixed integer nonlinear programming; nonpollutant resources; peak load duration time; power distribution systems; purchased power costs; reliability; renewable energy sources; solar radiance uncertainty; solar unit allocation; solar unit planning problem; Energy loss; Equations; Mathematical model; Planning; Probabilistic logic; Resource management; Uncertainty; Probabilistic approach; Probability density function; Solar unit; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4799-2802-6
  • Type

    conf

  • DOI
    10.1109/EEEIC-2.2013.6737896
  • Filename
    6737896