Volume 22, Issue 1 (March 2026)                   IJEEE 2026, 22(1): 3492-3492 | Back to browse issues page

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Gandotra R, pal K. Optimal integration of Renewable based Distributed Generators via Hybrid GA-PSO approach. IJEEE 2026; 22 (1) :3492-3492
URL: http://ijeee.iust.ac.ir/article-1-3492-en.html
Optimal integration of Renewable based Distributed Generators via Hybrid GA-PSO approach
Rupika Gandotra , Kirti Pal
Abstract:   (632 Views)
The rising demand for electricity has led to the installation of renewable-based distributed generators in a power system network to meet the increasing load. The eco-friendly nature of these DGs is another compelling reason to incorporate them in a power system network but their installation process requires careful consideration such as determining the optimal quantity and location because these factors have a significant impact on various constraints and parameters of the power system network. The main objective of this paper is to determine the optimal siting and sizing of Type-1 and Type-2 DGs in a power system network such that network has minimum real and reactive power losses in the transmission lines, also fuel cost of convectional generators is reduced and voltage profile is improved. For this purpose, hybrid GA-PSO approach is developed and implemented on case 33 bus system and results were compared under different loading conditions such as 100%, 150%, 200% to show which type of DG is most effective. Further, the evaluated results have been compared with other algorithms including OCDE, WOA, SFSA, TGA and EJSA in order to ensure the validity of the suggested approach. The numerical results validate the performance of this proposed technique for DG unit placement.
Keywords: Renewable-based Distributed Generator, clean energy, transmission line power losses, voltage profile improvement, fuel cost, MATPOWER
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Type of Study: Research Paper | Subject: Distributed Generation/Integration of Renewables
Received: 2024/10/10 | Revised: 2025/08/17 | Accepted: 2025/06/11
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.