DISTRIBUTION NETWORK POWER LOSS MINIMIZATION BY INTEGRATING DISTRIBUTED GENERATION THROUGH PARTICLE SWARM OPTIMIZATION TECHNIQUE (Case Study: Kombolcha Distribution Network)

DISTRIBUTION NETWORK POWER LOSS MINIMIZATION BY INTEGRATING DISTRIBUTED GENERATION THROUGH PARTICLE SWARM OPTIMIZATION TECHNIQUE (Case Study: Kombolcha Distribution Network) | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 27 February 2026 V1 Latest version Share on DISTRIBUTION NETWORK POWER LOSS MINIMIZATION BY INTEGRATING DISTRIBUTED GENERATION THROUGH PARTICLE SWARM OPTIMIZATION TECHNIQUE (Case Study: Kombolcha Distribution Network) Authors : Samrawit Hagos , Asefa Yimer [email protected] , wondwossen Haile 0000-0001-7613-3350 , and Esubalew Getahun Authors Info & Affiliations https://doi.org/10.22541/au.177217402.22295927/v1 143 views 50 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This research examines the performance improvement of Kombolcha power distribution system by incorporating Distributed Generation (DG) using Particle Swarm Optimization (PSO) by optimal sizing and positioning. The distribution system consists of a total of eight feeders. Feeder 3 of the Kombolcha distribution network, with a total load of 6.29 Mw, was chosen as the case study because of its significant load, numerous transformers, extensive length, and large customer base. Load flow analysis and optimization were performed using MATLAB 2021a software. Through PSO, the ideal size and location for distributed generation were identified, with the DG positioned at bus 75 and rated at 3.1 MW. This incorporation of DG led to a significant decrease of losses. Losses in real and reactive power were decreased by 57.85 % and 56.37 % respectively. The system voltage profile was also enhanced from 0.956 to 1. Supplementary Material File (manuscript.docx) Download 494.19 KB Information & Authors Information Version history V1 Version 1 27 February 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords ac machines ac-ac power convertors ac-dc power convertors Authors Affiliations Samrawit Hagos Wollo University Kombolcha Institute of Technology View all articles by this author Asefa Yimer [email protected] Wollo University Kombolcha Institute of Technology View all articles by this author wondwossen Haile 0000-0001-7613-3350 Wollo University View all articles by this author Esubalew Getahun Wollo University Kombolcha Institute of Technology View all articles by this author Metrics & Citations Metrics Article Usage 143 views 50 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Samrawit Hagos, Asefa Yimer, wondwossen Haile, et al. DISTRIBUTION NETWORK POWER LOSS MINIMIZATION BY INTEGRATING DISTRIBUTED GENERATION THROUGH PARTICLE SWARM OPTIMIZATION TECHNIQUE (Case Study: Kombolcha Distribution Network). Authorea . 27 February 2026. 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