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   FACTS location using Genetic Algorithm to increase energy efficiency in distribution networks   [View] 
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 Author(s)   Paola PEZZINI 
 Abstract   The article presents a genetic algorithm (GA) application to find the best location and reactive power injection of a FACTS device in a power system. The GA is employed to increase the energy efficiency of the system, assumed as fitness function, considering that only the best individuals of a population are selected to create new possible solutions and these are meant to improve the energy efficiency of the system; the node and the reactive power values are considered as the elements needed to maximize the fitness function. Simulations are performed on a 33 bus test power system employing two different Matlab programs created by the authors to run the power flow and the location of the device. The power flow program performs a voltage limits check. Results show the evolution and the increase of the energy efficiency in the system. 
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Filename:0230-epe2009-full-15193735.pdf
Filesize:166.7 KB
 Type   Members Only 
 Date   Last modified 2010-01-27 by System