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2012 (Vol. 4, Issue: 17)
Article Information:

Analysis of Capacitor Placement in Power Distribution Networks Using Body Immune Algorithm

Majid Davoodi, Mohsen Davoudi, Iraj Ganjkhany, Morteza Arfand and Ali Aref
Corresponding Author:  Majid Davoodi 

Key words:  Immune system, loss reduction, multifunction, optimal placement, , ,
Vol. 4 , (17): 3148-3153
Submitted Accepted Published
April 04, 2012 April 25, 2012 September 01, 2012
Abstract:

In this study we present a new technique for analysis of capacitor placement in the power distribution systems considering the most of the parameters affected in this problem. Detection of capacitance and optimal placement of capacitors in power distribution system can lead to decrement in losses, enhancement in voltage profile, increment of power factor and freeing up generation capacityand energy distribution. The majority of literatures pay more attention to solve this problem considering only some of the parameters related to the capacitor placement. In this study for the analysis and formulation of the problem we consider six distinct objectives related to the cost of losses, cost of voltage profile, cost of power factor, cost of utilities development and cost of capacitors including the purchase and installation cost. To find the optimum location and capacitance of the capacitors, a proposed method based on the Immune algorithm has been employed in simulations. The important advantage of the Immune algorithm rather than the other methods is its performance in multifunction manner that can investigate many parameters in the target function. The proposed capacitor placement and detecting optimum capacitance method has been implemented and tested in a 9-bus IEEE sample network in DIGSILENT and MATLAB environments.
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  Cite this Reference:
Majid Davoodi, Mohsen Davoudi, Iraj Ganjkhany, Morteza Arfand and Ali Aref, 2012. Analysis of Capacitor Placement in Power Distribution Networks Using Body Immune Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 4(17): 3148-3153.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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