Optimal DG sizing in primary distribution feeders using dynamic programming approach

Ahmadigorji, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/EEEIC.2012.6221405
  3. Publisher: IEEE , 2012
  4. Abstract:
  5. Distributed generation (DG) corresponds to the application of small generating units which are the set up in distribution systems or near load centers. Utilization of DG influences various operational indices of the distribution feeders such as feeder loading, electrical losses and voltage profile. In addition, use of DG in its appropriate size is an essential tool to attain the DG maximum potential advantages. In this paper, an optimization method is proposed to determine the optimal size of DG in the distribution system. This method considers the system technical factors such as losses, voltage profile and loading of the primary distribution system feeders. The optimization process is solved by the forward dynamic programming (DP) algorithm to evaluate the DG effects on the mentioned technical parameters. The proposed method has been applied to the typical section of the distribution system in Iran and the results have been reported. The obtained results prove that the application of DG in its optimal size can cause the considerable improvement in the distribution system efficiency
  6. Keywords:
  7. Distributed generation (DG) ; Dynamic programming (DP) ; Distribution feeders ; Distribution system efficiency ; Distribution systems ; Electrical loss ; Forward dynamic ; Generating unit ; Load centers ; Optimal size ; Optimal sizing ; Optimization method ; Optimization process ; Primary distribution ; Primary distribution systems ; Technical factors ; Voltage profile ; Current limiting reactors ; Distributed power generation ; Dynamic programming ; Electrical engineering ; Feeding ; Local area networks ; Losses ; Optimization ; Loading
  8. Source: 2012 11th International Conference on Environment and Electrical Engineering, EEEIC 2012 - Conference Proceedings, 18 May 2012 through 25 May 2012, Venice ; 2012 , Pages 371-375 ; 9781457718281 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6221405