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This article addresses the reduction of power losses in smart grids. Two optimization algorithms are used in this article. The first method is the enumerative method. The second method of the optimization calculation is based on the self-organizing migrating algorithm. In the first step, the network parameters are calculated based on the input data, and then the target function is determined. In this article, the target function is used to reduce the active power losses that occur during the operation of an electric network. More specifically, we attempt to determine the reactive power with the enumerative and SOMA algorithms to reduce the value of the active power losses. This article intends to illustrate the differences between the selected optimization algorithms. As observed, the optimization algorithm determines the computation time.

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This publication examines the impact of electric vehicles on the grid. Electric cars are becoming more and more popular in the world. The annual sales quantity of electric cars in the world has an upward trajectory which has some serious implications on the electric grid as well. Both passenger and freight transport are being influenced by this current trend. In addition to various methods of transport, electric cars have the potential to transform traditional grids into smart ones. The primary objective of this study is to examine to what extent the voltage at the nodes changes when electric cars are connected to the network and also sets out to provide us with some overview of the effects on active power loss in the network.