A Novel Hybrid Optimization Algorithm for Performance Improvement of Distribution Network by Optimal Allocation of Distributed Generators

A Novel Hybrid Optimization Algorithm for Performance Improvement of Distribution Network by Optimal Allocation of Distributed Generators | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Novel Hybrid Optimization Algorithm for Performance Improvement of Distribution Network by Optimal Allocation of Distributed Generators J. P. Srividhya, K. Srinivasan, S. Jaisiva, R. Suresh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6089333/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Uncertainty of loading in distribution system, which differs over time, raises difficulty in working and control over distribution system. Also, increased continuous load and makes the distribution system work nearby load limit. The load which increases steadily will cause more power losses, least voltages regulation, uncertainness, in secured traditional feedings system. This paper contributes enhancement in profile of voltage in transmission systems, which reduces voltage fluctuation and power loss. Electrical power which transfers in the same way throughout Radial Distribution Network (RDN) in power grid stations will results lower voltage continuity, voltage fluctuations which occur significantly and also loss of power in distribution networks even with higher load and power loss issue, in spite of mounting DG in RDS in maintaining voltage profiles using grid networks. The meta-heuristic optimization algorithms also hold major place which determines optimal location of DG which achieves the goal of the research. Here, in practical networks, the single objective optimized strategies were not used to solve power systems optimization issues of several types. Therefore, multi-objective function was mentioned. The major work of the research lies in investigating along with assigning the optimal locations of connecting DG, along with the evaluation of optimal DG configuration, which minimizes power loss thereby improving voltage profiles of distribution network using Gazelle Optimization + Dwarf Mongoose Optimization (GOA + DMO) algorithms. The standardized IEEE 37-bus Radial Distribution Systems (RDS) were used as testing bus system in testing execution and efficiency of optimization techniques. Illustrating effectiveness of devised algorithms, outcomes were compared using several optimization methods. Distributed generations transmission system Radial Distribution network distribution systems and Optimization Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6089333","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":420024155,"identity":"48f79f79-b583-4ed1-8ae2-07331a0d90df","order_by":0,"name":"J. P. 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Also, increased continuous load and makes the distribution system work nearby load limit. The load which increases steadily will cause more power losses, least voltages regulation, uncertainness, in secured traditional feedings system. This paper contributes enhancement in profile of voltage in transmission systems, which reduces voltage fluctuation and power loss. Electrical power which transfers in the same way throughout Radial Distribution Network (RDN) in power grid stations will results lower voltage continuity, voltage fluctuations which occur significantly and also loss of power in distribution networks even with higher load and power loss issue, in spite of mounting DG in RDS in maintaining voltage profiles using grid networks. The meta-heuristic optimization algorithms also hold major place which determines optimal location of DG which achieves the goal of the research. 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