• DocumentCode
    703766
  • Title

    Modelling of distributed generation for radial power flow algorithm

  • Author

    Ranjith Kumar, R. James ; Jain, Amit

  • Author_Institution
    Smart Power & Energy Syst., Power Syst. Div., Central Power Res. Inst., India
  • fYear
    2015
  • fDate
    19-21 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The models for distributed generations which can be used in radial load flow program is proposed in this paper. In most cases, distributed generations like photovoltaic systems, fuel cells, low capacity wind turbines and diesel gensets etc. have their terminal voltage not equal to the slack bus voltage. This paper addresses such distributed generations. In this method, an improved backward forward sweep algorithm is employed where the line flows are used to form a quadratic expression which can be solved directly. For handling voltage controlled buses, the Q injection required for maintaining the specified voltage is calculated using the solution of quadratic equation. Though this method uses the backward forward strategy, the overall convergence is achieved similar to Newton´s method. The algorithm proposed in this paper has been implemented on two radial systems and its results are compared with Newton´s method.
  • Keywords
    distributed power generation; load flow; power factor; power system simulation; Newton´s method; Q injection; backward forward sweep algorithm; distributed generations; line flows; quadratic expression; radial load flow program; radial systems; slack bus voltage; terminal voltage; voltage controlled buses; Distributed power generation; Load flow; Load modeling; Mathematical model; Rabbits; Reactive power; Voltage control; distributed generation; distribution systems; load flow methods; radial systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
  • Conference_Location
    Kozhikode
  • Type

    conf

  • DOI
    10.1109/SPICES.2015.7091546
  • Filename
    7091546