Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150726
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dc.contributor.authorPareek, Parikshiten_US
dc.contributor.authorNguyen, Hung Dinhen_US
dc.date.accessioned2021-12-09T06:20:11Z-
dc.date.available2021-12-09T06:20:11Z-
dc.date.issued2021-
dc.identifier.citationPareek, P. & Nguyen, H. D. (2021). A convexification approach for small-signal stability constrained optimal power flow. IEEE Transactions On Control of Network Systems. https://dx.doi.org/10.1109/TCNS.2021.3090205en_US
dc.identifier.issn2325-5870en_US
dc.identifier.urihttps://hdl.handle.net/10356/150726-
dc.description.abstractIn this paper, a novel convexification approach for Small-Signal Stability Constraint Optimal Power Flow (SSSC-OPF) has been presented that does not rely on eigenvalue analysis. The proposed methodology is based on the sufficient condition for the small-signal stability, developed as a Bilinear Matrix Inequality (BMI), and uses network structure-preserving Differential Algebraic Equation (DAE) modeling of the power system. The proposed formulation is based on Semi-definite Programming (SDP) and objective penalization that has been proposed for feasible solution recovery, making the method computationally efficient for large-scale systems. A vector-norm based objective penalty function has also been proposed for feasible solution recovery while working over large and dense BMIs with matrix variables. An effectiveness study carried out on WECC 9-bus, New England 39-bus, and IEEE 118-bus test systems show that the proposed method is capable of achieving a stable equilibrium point without inflicting a high stability-induced additional cost.en_US
dc.description.sponsorshipEnergy Market Authority (EMA)en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relation2019-T1-001-119 (RG 79/19)en_US
dc.relationEMA-EP004- EKJGC-0003en_US
dc.relation.ispartofIEEE Transactions on Control of Network Systemsen_US
dc.rights© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCNS.2021.3090205.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleA convexification approach for small-signal stability constrained optimal power flowen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1109/TCNS.2021.3090205-
dc.description.versionAccepted versionen_US
dc.subject.keywordsConvexified Small-Signal Stability Constraint Optimal Power Flowen_US
dc.subject.keywordsBilinear Matrix Inequality Relaxationen_US
dc.description.acknowledgementThe authors are supported by NTU SUG, MOE AcRF TIER 1- 2019-T1-001-119 (RG 79/19), EMA & NRF EMA-EP004- EKJGC-0003, and NRF DERMS for Energy Grid 2.0.en_US
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