Dominated Sorting Optimization Algorithm (DSOA) Implementing Optimal Capacitor Placement (OCP) for Power System Stability
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This paper studies optimal capacitor placement (OCP) for large-scale power distribution systems using a novel Dominated Sorting Optimization Algorithm (DSOA) that incorporates voltage-violation handling and automatic OCP adjustments. The authors formulate an optimization framework targeting reduced power losses/energy loss, improved voltage profiles, and minimized total energy/investment costs, and they report convergence behavior and computational performance characteristics including avoiding early convergence and providing solution diversity. In their test results, the method achieves under 12% energy loss reduction, about 20% cost savings, and improved voltage profiles with superior computational efficiency. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.
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Abstract The paper presents a novel Dominated sorting optimization algorithm (DSOA) approach for Optimal Capacitor Planning (OCP) method for large-scale power distribution systems in minimizing loss of energy, improving stability, and minimizing investment in capacitors. DSOA incorporates features like voltage violation and automatic OCP adjustments. The framework implemented is applied in yielding configurations that offer significant cost and energy savings while informing optimal capacitor placement. The OCP using DSOA is proposed to improve energy efficiency in large-scale power systems by reducing power losses, lowering real power consumption, and optimizing capacitor placement. The paper introduces an enhanced DSOA algorithm to optimally size and place capacitor banks. The improved DSOA avoids early convergence, optimizing for loss of energy, voltage stabilization, and financial savings. The research has depicted that it achieves under 12% energy loss reduction, 20% cost savings, and better voltage profiles, while offering superior computational efficiency and solution diversity making it well-suited for sustainable power distribution systems. DSOA tackles the objective functions minimizing power loss, sensitivity analysis and minimizing the total energy costs.
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Dominated Sorting Optimization Algorithm (DSOA) Implementing Optimal Capacitor Placement (OCP) for Power System Stability | 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 Dominated Sorting Optimization Algorithm (DSOA) Implementing Optimal Capacitor Placement (OCP) for Power System Stability Sandesh Acharya This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8556454/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 paper presents a novel Dominated sorting optimization algorithm (DSOA) approach for Optimal Capacitor Planning (OCP) method for large-scale power distribution systems in minimizing loss of energy, improving stability, and minimizing investment in capacitors. DSOA incorporates features like voltage violation and automatic OCP adjustments. The framework implemented is applied in yielding configurations that offer significant cost and energy savings while informing optimal capacitor placement. The OCP using DSOA is proposed to improve energy efficiency in large-scale power systems by reducing power losses, lowering real power consumption, and optimizing capacitor placement. The paper introduces an enhanced DSOA algorithm to optimally size and place capacitor banks. The improved DSOA avoids early convergence, optimizing for loss of energy, voltage stabilization, and financial savings. The research has depicted that it achieves under 12% energy loss reduction, 20% cost savings, and better voltage profiles, while offering superior computational efficiency and solution diversity making it well-suited for sustainable power distribution systems. DSOA tackles the objective functions minimizing power loss, sensitivity analysis and minimizing the total energy costs. Electrical Engineering Dominated Sorting Optimization Algorithm (DSOA) Optimal Capacitor Placement (OCP) Conservative Voltage Regulation (CVR) Sensitivity analysis Full Text Additional Declarations The authors declare no competing interests. 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. 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