A novel Weighted Adaptive Aquila Optimizer technique for solving the Optimal Reactive Power Dispatch problem

A novel Weighted Adaptive Aquila Optimizer technique for solving the Optimal Reactive Power Dispatch problem | 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 Weighted Adaptive Aquila Optimizer technique for solving the Optimal Reactive Power Dispatch problem Tanmay Das, Ranjit Roy, Kamal Krishna Mandal This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2134558/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 The major problems in the field of power system engineering can be mostly solved with the help of the ORPD problem. Many recently developed optimization techniques have been implemented in this area of power system to optimize the objective function of minimum power loss, and determine its optimal solution leading to a more efficient and secured system. In this paper, a novel Weighted Adaptive Aquila Optimizer (WAAO) has been proposed to solve the highly complex and non-linear problem of Optimal Reactive Power Dispatch (ORPD). The Aquila optimizer (AO) has been modified with the addition of the unique search feature to develop an algorithm with the capability of optimizing any optimization technique faster and better compared to many other efficient techniques including AO technique. Here, the proposed algorithm has been tested on IEEE 30, 57 and 118 bus systems to minimize the power loss objective function of the ORPD problem, and obtain the optimal solutions to the control variables. The results obtained showed a significant improvement in terms of power saving by minimizing the power loss to a large margin for all the three mentioned test cases, which has not yet been reported earlier in the literature. The detailed study in this work proved that the WAAO has better optimization capability compared to AO and many other well-established techniques in solving the problem of ORPD. active power loss Aquila optimizer Optimization technique ORPD Weighted Adaptive Aquila Optimizer Full Text 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. 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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-2134558","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":155917196,"identity":"0d336c7f-0d6a-4d06-9220-163d0a52e53e","order_by":0,"name":"Tanmay Das","email":"","orcid":"","institution":"Jadavpur University Faculty of Engineering and Technology","correspondingAuthor":false,"prefix":"","firstName":"Tanmay","middleName":"","lastName":"Das","suffix":""},{"id":155917197,"identity":"58ad1b91-547c-4efa-8887-372b9c96dc9f","order_by":1,"name":"Ranjit Roy","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEklEQVRIiWNgGAWjYLCDAyCCjYGB8QGQ5uEjXgsbA7MBSAsb8XaxMbBJQK3DCsxnn334mIehLl93Ru7BwzwV9+z55HvMKr/m2MkAbXv46AamFplz6cbGPAyHLbfdyEs4zHOmOLGNjcfstuy2ZKDD2IyNczC1SPCwsUnzMBwwMLuRY3BwZltCAhtIi+Q2ZqAWHjZp3FrqoFr+JdiDtBRLbqsnpIUZrOXAx4YERpDDGD9uO4xPC7PhHIPDBmZn3hgc+HAsAeiXtGJpxm3HgRI4/cL44E0F0GHHc4w/JNQk2Ms3H9748ee2ant+9uaHj7FoAQEmHgMUPocBMw+IZsauHAQYf6Dy2R+gi4yCUTAKRsHIBgBDNlQmxBeyjAAAAABJRU5ErkJggg==","orcid":"","institution":"SRM University Haryana - Campus","correspondingAuthor":true,"prefix":"","firstName":"Ranjit","middleName":"","lastName":"Roy","suffix":""},{"id":155917198,"identity":"e9cacdac-05ed-4869-9717-33b46af45aaf","order_by":2,"name":"Kamal Krishna Mandal","email":"","orcid":"","institution":"Jadavpur University Faculty of Engineering and Technology","correspondingAuthor":false,"prefix":"","firstName":"Kamal","middleName":"Krishna","lastName":"Mandal","suffix":""}],"badges":[],"createdAt":"2022-10-05 09:20:55","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2134558/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2134558/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":29803420,"identity":"e2327bc4-e662-43c0-9240-c2a34e83ea71","added_by":"auto","created_at":"2022-12-02 06:03:00","extension":"pdf","order_by":2,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":668481,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2134558/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"A novel Weighted Adaptive Aquila Optimizer technique for solving the Optimal Reactive Power Dispatch problem","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"active power loss, Aquila optimizer, Optimization technique, ORPD, Weighted Adaptive Aquila Optimizer","lastPublishedDoi":"10.21203/rs.3.rs-2134558/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2134558/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe major problems in the field of power system engineering can be mostly solved with the help of the ORPD problem. Many recently developed optimization techniques have been implemented in this area of power system to optimize the objective function of minimum power loss, and determine its optimal solution leading to a more efficient and secured system. In this paper, a novel Weighted Adaptive Aquila Optimizer (WAAO) has been proposed to solve the highly complex and non-linear problem of Optimal Reactive Power Dispatch (ORPD). The Aquila optimizer (AO) has been modified with the addition of the unique search feature to develop an algorithm with the capability of optimizing any optimization technique faster and better compared to many other efficient techniques including AO technique. Here, the proposed algorithm has been tested on IEEE 30, 57 and 118 bus systems to minimize the power loss objective function of the ORPD problem, and obtain the optimal solutions to the control variables. The results obtained showed a significant improvement in terms of power saving by minimizing the power loss to a large margin for all the three mentioned test cases, which has not yet been reported earlier in the literature. 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