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Artificial Intelligence for Optimal Sizing and Location of DG in Power Systems


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DOI: https://doi.org/10.15866/ireaco.v17i1.23372

Abstract


When placing dispersed production resources into distribution systems, it is necessary to review and evaluate a wide range of operating conditions and system security. A large number of indicators are used in evaluating the optimal location of distributed production resources; In such a way that the grouping of these indicators in obtaining a multi-objective indicator as well as obtaining their optimal weight is usually taken into account in the industry. In this article, using the genetic algorithm, the optimal weights for the said performance indicator were obtained, and based on this, the optimal positioning and sizing of the distributed generation sources in the IEEE 33-bus and IEEE 69-bus standard test networks were discussed.  Simulation results show the effectiveness of this performance indicator with optimal coefficients in optimal placement and capacity determination of dispersed production resources.
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Keywords


DG Units; Genetic Algorithms; Smart Grids; Multi-Objective Indicator

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References


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