Optimal capacitor bank placement and sizing in the IEEE 34-node test model for loss reduction using Genetic Algorithm
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Abstract
In order to amend disturbances such as: voltage drops, power losses, among others; because the loads in a real distribution system are unbalanced and these affect the quality and reliability of electric service. A mathematical optimization technique is presented through a genetic algorithm, where an objective function is proposed in order to minimize losses in the system. The objective of the genetic algorithm is to provide the optimal location and sizing of a capacitor bank in a distribution system. This method, being iterative, seeks the most feasible solution by means of its population, generation, reproduction probabilities and mutation variables in order to fulfill its objective function.
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