• DocumentCode
    2017915
  • Title

    Optimal siting and sizing of hybrid Distributed Generation using EP

  • Author

    Dasan, S. G Bharathi ; Ramalakshmi, S Selvi ; Devi, R. P. Kumudini

  • Author_Institution
    Dept. of EEE, Sri Venkateswara Coll. of Eng., Sriperumbudur, India
  • fYear
    2009
  • fDate
    27-29 Dec. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Distributed Generation is a small source of electric power generation (typically range from less than a kW to tens of MW) that is not a part of central power system and is located close to the load. The loads of the system are uncontrolled and depend on voltage and frequency of the system. Therefore, analysis assuming constant power loads will give misleading and inaccurate results. This paper addresses the voltage sensitiveness of the loads by incorporating voltage dependent load models in the analysis. Three types of DGs are considered for implementation and DGs are modelled as PQ bus. The suitable location for placing distributed generation (DG) is identified through loss sensitivity factors and L index. Evolutionary programming is used to find the optimal size of distributed generation (DG).The objective of this paper is to minimize the total losses by optimal siting and sizing of three types of DG for a mixed realistic load model. This technique is tested on IEEE-34 bus radial distribution system and the results obtained justify the importance of optimal placement of distributed generation (DG) for minimizing losses and maximizing saving while maintaining appropriate voltage profile at all the buses.
  • Keywords
    distributed power generation; distribution networks; electric power generation; IEEE-34 bus radial distribution system; central power system; electric power generation; hybrid distributed generation; Distributed control; Distributed power generation; Frequency; Genetic programming; Hybrid power systems; Load modeling; Power generation; Power system analysis computing; Power system modeling; Voltage; DG types; Evolutionary programming; L index; Loss sensitivity factor; Mixed load model; Radial distribution system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems, 2009. ICPS '09. International Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4244-4330-7
  • Electronic_ISBN
    978-1-4244-4331-4
  • Type

    conf

  • DOI
    10.1109/ICPWS.2009.5442761
  • Filename
    5442761