2024-11-27
2024-03-28
Manuscript submitted June 10, 2024; revised July 8, 2024; accepted August 15, 2024; published November 14, 2024
Abstract—The interconnection of the power generation, transmission as well as distribution networks, electric power system is commonly referred to electricity flows unidirectional across most distribution networks. Modern distribution systems are experiencing a number of challenges due to the ever-growing demand. So, the proposed work is focused on the integration of renewable energy generation and its impact on voltage control as well as reactive power distribution networks. In this study, a variety of distributed generation technologies were investigated. In order to reduce the consequences of large voltage fluctuations, it has been investigated how voltage in electric systems is employed. The impact of dispersed generation has been investigated. There are a number of optimization algorithms based on the natural selection principle that have been applied to address difficulties such as the location of generators, their level of production, and their power factor control, among others. An Artificial Neural Network (ANN) controller has been used to enhance the performance, loss reduction, and cost reduction of optimally placed Distributed Generation (DG) in the Distribution Network (DN). All mathematical formulas as well as the optimization controller have been designed using the MATLAB/Simulink software. The main purpose of the simulation is to develop criteria for designing and placing a distributed generation system based on wind and solar with a conventional distribution network, improve voltage regulation, reduce line losses, and optimize the cost of electrical systems using an ANN controller. The results of this paper indicate that the proposed method for process control not only increases voltage regulation, accuracy, and safety but also reduces line losses as well as the cost of electrical system. Keywords—Active Distribution Networks (ADNs), Distributed Generation (DG), Genetic Algorithm (GA), Photovoltaic (PV), Active Distribution Networks (ADNs) Cite: Linta Khalil, Farhan Shabir, Kamran Liaqat Bhatti, Zia Ul Haq, Kiran Khalil, and Salman Khalil, "Location Optimization of Small Renewable Generators in Distribution Networks by Using Artificial Network Neural Controller," International Journal of Smart Grid and Clean Energy, Vol. 13, No. 4, pp. 132-141, 2024. Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.