A New Methodology for SVC Modeling in the Power Flow Problem Based on Sigmoid Functions

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Abstract

This paper presents a new methodology for static VAr compensator (SVC) modeling in the power flow problem. The proposed formulation applies sigmoid functions to model the control equations that describe SVCs' steady-state behavior, including their limits consideration. In addition, an improvement to the SVC firing angle model is also proposed to include the droop characteristic in the linear region. The main objective is to develop a power flow formulation considering the full Newton approach. One of the main advantages of the proposed method is that no alternating adjustments are required, even in dealing with boundaries and backoffs procedures. The implementation of a power flow program has been tested using both small-scale tutorial systems and the medium-scale IEEE Nordic system. The results presented validate and indicate the effectiveness of the proposed methodology.
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A New Methodology for SVC Modeling in the Power Flow Problem Based on Sigmoid Functions | 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 New Methodology for SVC Modeling in the Power Flow Problem Based on Sigmoid Functions João Pedro Peters Barbosa, João Alberto Passos Filho This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2877428/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Sep, 2023 Read the published version in Electrical Engineering → Version 1 posted 7 You are reading this latest preprint version Abstract This paper presents a new methodology for static VAr compensator (SVC) modeling in the power flow problem. The proposed formulation applies sigmoid functions to model the control equations that describe SVCs' steady-state behavior, including their limits consideration. In addition, an improvement to the SVC firing angle model is also proposed to include the droop characteristic in the linear region. The main objective is to develop a power flow formulation considering the full Newton approach. One of the main advantages of the proposed method is that no alternating adjustments are required, even in dealing with boundaries and backoffs procedures. The implementation of a power flow program has been tested using both small-scale tutorial systems and the medium-scale IEEE Nordic system. The results presented validate and indicate the effectiveness of the proposed methodology. Static VAr Compensator Power Flow Control Devices Sigmoid Functions Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 27 Sep, 2023 Read the published version in Electrical Engineering → Version 1 posted Editorial decision: Major revision 03 Jul, 2023 Reviews received at journal 02 Jun, 2023 Reviewers agreed at journal 16 May, 2023 Reviewers invited by journal 14 May, 2023 Editor assigned by journal 03 May, 2023 Submission checks completed at journal 03 May, 2023 First submitted to journal 29 Apr, 2023 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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