Hybrid Fuzzy-Seeker Optimization Algorithm for Dynamic Performance Enhancement of Microgrids Integrating Renewable and Storage Technologies

Hybrid Fuzzy-Seeker Optimization Algorithm for Dynamic Performance Enhancement of Microgrids Integrating Renewable and Storage Technologies | 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 Hybrid Fuzzy-Seeker Optimization Algorithm for Dynamic Performance Enhancement of Microgrids Integrating Renewable and Storage Technologies G. Bharathi, P. Kantarao, R. Srinivasarao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9712465/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 In this work, a new hybrid control method is developed for the proportional power sharing among converters in the isolated microgrid system. Various renewable energy sources like photovoltaic (PV) system, fuel cell (FC), ultra-capacitor (UC) and battery energy storage systems (BESS) are incorporated for examining the microgrid system. Nonetheless, the difficult task in the PV system is to attain the maximum power in the event of distinct weather conditions. Moreover, an effective and efficient robust control strategy is required to regulate the energy storage devices. To overcome these problems, fuzzy and seeker optimization algorithm (SOA) is hybridized (FSOA) in this work. Further, proportional integral derivative (PID) controller is designed and optimized by FSOA method for improving the system dynamic stability under diverse disturbances. To provide robust control under scenarios of nonlinear load and faults, the dynamic response and stability of the system using the suggested method are examined and contrasted with typical PID/fuzzy/SOAPID controllers. Further, the suggested microgrid system has carried out under various loading conditions such as 50% AC and DC load increment, 50% DC load decrement. The simulation results indicates that the proposed hybrid FSOA-PID method represents better enrichment in terms of improving the dynamic response, reducing settling time, correctness as compared with other studied methods. Renewable Energy Sources Microgrid Fuel cell Ultra-capacitor FSOA 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-9712465","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":640489760,"identity":"2b376f04-badd-4d87-87ea-7875ae18e5b7","order_by":0,"name":"G. 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Various renewable energy sources like photovoltaic (PV) system, fuel cell (FC), ultra-capacitor (UC) and battery energy storage systems (BESS) are incorporated for examining the microgrid system. Nonetheless, the difficult task in the PV system is to attain the maximum power in the event of distinct weather conditions. Moreover, an effective and efficient robust control strategy is required to regulate the energy storage devices. To overcome these problems, fuzzy and seeker optimization algorithm (SOA) is hybridized (FSOA) in this work. Further, proportional integral derivative (PID) controller is designed and optimized by FSOA method for improving the system dynamic stability under diverse disturbances. To provide robust control under scenarios of nonlinear load and faults, the dynamic response and stability of the system using the suggested method are examined and contrasted with typical PID/fuzzy/SOAPID controllers. Further, the suggested microgrid system has carried out under various loading conditions such as 50% AC and DC load increment, 50% DC load decrement. 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