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Optimal DG Placement in Distribution Networks Using Shuffled Frog Leap Algorithm

EasyChair Preprint no. 8869

4 pagesDate: September 23, 2022


Recent technological advancements in the field of renewable energy sources along with a significant rise in need to clean energy have led to increasing inclination to distributed generation (DG). Placement of DG in distribution networks leads to the system stability, increasing reliability, reducing losses, voltage profile improvement and decreasing final generation costs if it is conducted properly and accurately. In this study, Frog Leaping Algorithm is used for the optimal placement and determining the optimal amount of DG units to minimize costs. The suggested method is tested on an IEEE 70-bus system to determine the optimal place and capacity of the generators. Due to a large number of system buses it is a time-taking to reach the answers and the obtained results are indicative of the fact that optimal and proper placement of DG units can lead to significant reduction of the total costs.

Keyphrases: distributed, generation, Optimization of distribution networks, Shuffled Frog Leap Algorithm

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Askar Bagherinasab and Saifulnizam Abdul Khalid and Hadi Jahangere and Mohammadjavad Kiani and Mahmod Zadebagheri and Alireza Yousefpour},
  title = {Optimal DG Placement in Distribution Networks Using Shuffled Frog Leap Algorithm},
  howpublished = {EasyChair Preprint no. 8869},

  year = {EasyChair, 2022}}
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