Optimal planning of distributed generation in the power system with uncertantieis of renewable energy resources by the modified harmony search algorithm

Optimal planning of distributed generation in the power system with uncertantieis of renewable energy resources by the modified harmony search algorithm | 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 Optimal planning of distributed generation in the power system with uncertantieis of renewable energy resources by the modified harmony search algorithm ji li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4563728/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 This paper addresses the critical challenge of short-term planning in power networks, emphasizing the independent and self-sufficient optimization of network operations during a sample day enriched with renewable energy sources (RES). The integration of renewable resources is imperative for sustainable power systems, offering clean energy alternatives that mitigate environmental impact and reduce costs. The research focuses on the planning aspects and incorporation of renewable resources, considering a probabilistic model to account for uncertainties and minimize the adverse effects of inconsistent distributed generation resource installations. The study employs a harmony search algorithm as an innovative solution to the optimization problem, with a key objective function based on loss reduction within the power system. The reduction of system losses serves as a justifiable metric for investments in network efficiency, including the distribution of distributed generation (DG) resources like RES across the grid. The uncertainties associated with wind speed, solar radiation, and charge are modeled using corresponding probability distribution functions, and random variable scenarios are generated through the squared sampling method. These scenarios are clustered and applied to random programming for comprehensive evaluation. The random programming is implemented on a sample micro-grid, aiming to minimize total net present costs while ensuring expected reliability adequacy. Sensitivity analysis is conducted to determine the maximum penetration percentage and optimal number of renewable resources that can be installed in the network. The proposed model is tested on the 33-bus IEEE radial distribution network under various scenarios. Simulation results demonstrate that the efficient distribution of energy from existing resources and the reduction of grid energy losses are contingent on the location and energy sharing of distributed renewable generation sources. Additionally, the paper validates the efficacy of the proposed algorithm through comparative analysis with other existing methods. Wind power generation Uncertainty Solar power Optimal planning Developed harmonic search algorithm 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. 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-4563728","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":489100617,"identity":"ce7e6fd6-2ed9-4126-812b-3b2fff7d3a67","order_by":0,"name":"ji li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuElEQVRIiWNgGAWjYBACxmbmgw8eGNgwMEgQr4Ut2SDBII0ELQwMPGYSCQyHSdDC3M5gIJFQcD6xf3bzwQcMNTbRRDiMIQHosNuJM+4cSzZgOJaW20CElgMJIC0NN3LMJBgbDhOjhbHhQILBucT5JGhhZmxIMDiQuIEELWzMQN8kG2+8kQYMbWL8Yth//vuPD3/sZOfdSD744EONDRFaoCocwXQCIeUgIA+l7YlRPApGwSgYBSMUAADkRkG9aW0ftgAAAABJRU5ErkJggg==","orcid":"","institution":": State Grid Xinjiang Electric Power Co Ltd","correspondingAuthor":true,"prefix":"","firstName":"ji","middleName":"","lastName":"li","suffix":""}],"badges":[],"createdAt":"2024-06-11 11:30:37","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4563728/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4563728/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":89229189,"identity":"53254df2-3071-459b-9df7-6182b14a29e4","added_by":"auto","created_at":"2025-08-17 14:00:55","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1070486,"visible":true,"origin":"","legend":"","description":"","filename":"finalaftersimedit.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4563728/v1_covered_ca8c43d1-84b0-41a5-94dc-e886deff4759.pdf"}],"financialInterests":"","formattedTitle":"Optimal planning of distributed generation in the power system with uncertantieis of renewable energy resources by the modified harmony search algorithm","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":false,"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":"Wind power generation, Uncertainty, Solar power, Optimal planning, Developed harmonic search algorithm","lastPublishedDoi":"10.21203/rs.3.rs-4563728/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4563728/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper addresses the critical challenge of short-term planning in power networks, emphasizing the independent and self-sufficient optimization of network operations during a sample day enriched with renewable energy sources (RES). 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