Abstract
In this paper, the sine and cosine algorithm is enhanced (ESCA) by selecting the best elements of the group in the next iterations to reduce active power loss. The sine and cosine algorithm (SCA) converges to an optimal solution through the sinus and cosine-based mathematical relations and the destination or the best global element in each iteration. Also, it uses the current elements for generating new elements without keeping the elements that have a better solution in the next generations. In ESCA this problem is avoided by applying the selection operator for keeping the best elements to the next generation. This method improves the optimal solution and is obtained in most implementations of the algorithm, which reduces the disturbances in obtaining the optimal solution. Also, one of the parameters of the standard method is fixed to the normal one value for the performance improvement of the algorithm. This method has been applied to a typical power network such as IEEE 30-bus and IEEE 118-bus in order to reduce the active power loss, reduce the power loss with the voltage deviation and with the stability of the voltage. Finally, this method proved effective than the standard method and with the previously applied metaheuristic methods.
Publisher
Trans Tech Publications, Ltd.
Cited by
1 articles.
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