Research Article Open Access

A Novel Method for Optimal Location and Expansion of Subtransmission Substations Considering Existing Medium-Voltage Distribution Feeders

M. Farrokhifar, M. Bana Sharifian and R. Esmaeilzadeh

Abstract

This research presents an accurate comprehensive cost function for the problem of optimal location of subtransmission substations. Technical constraints and economical parameters are investigated in the modeling. Genetic algorithm is used to optimize the cost function. Coding of decision variables is done in a way that finding the correct solutions is achieved faster. For the first time in this study, free capacity of medium voltage distribution feeders is used for optimal location of subtransmission substations. Also cost of coupling to upward grid in candidate substations with considering different levels of subtransmission voltage is presented. Efficiency of the proposed algorithm is evaluated via several case studies.

American Journal of Applied Sciences
Volume 6 No. 3, 2009, 368-379

DOI: https://doi.org/10.3844/ajassp.2009.368.379

Submitted On: 2 February 2008 Published On: 31 March 2009

How to Cite: Farrokhifar, M., Sharifian, M. B. & Esmaeilzadeh, R. (2009). A Novel Method for Optimal Location and Expansion of Subtransmission Substations Considering Existing Medium-Voltage Distribution Feeders. American Journal of Applied Sciences, 6(3), 368-379. https://doi.org/10.3844/ajassp.2009.368.379

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Keywords

  • Optimization
  • genetic algorithm
  • power system planning
  • medium voltage feeder