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        1 - Presenting an economic objective function to improve the voltage profile in distributed generation systems based on arithmetic optimization algorithm
        Seyyed Vahid Ziaratnia Seyyed Abed Hosseini
        The use of distributed generation (DG) systems has significant effects, such as increasing the stability of the voltage profile, reducing power losses, and solving problems related to voltage stability. This study proposes an objective function to locate and determine t More
        The use of distributed generation (DG) systems has significant effects, such as increasing the stability of the voltage profile, reducing power losses, and solving problems related to voltage stability. This study proposes an objective function to locate and determine the optimal size in DG systems. The objective function is based on increasing the voltage profile, reducing power loss, and improving economic efficiency using an arithmetic optimization algorithm (AOA). The proposed approach uses the lowest losses and improvement of the voltage profile level after injecting power into the system in distribution networks and sub-transmission networks to determine and locate the optimal size in DG systems. This research has been implemented on an IEEE 33-bus network using AOA, and the results are compared with genetic algorithm (GA) and particle swarm optimization (PSO). The results show that the proposed approach is superior to other optimization methods in locating and determining the optimal size, power loss, and cost function in DG systems. For example, AOA has obtained more profit than PSO and GA, 33.4% and 32.8%, respectively. In particular, the results show that AOA has a higher convergence speed in finding the optimal location in DG systems. Manuscript profile