Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks
dc.contributor.author | Maharjan, Salish | |
dc.contributor.author | Cheng, Rui | |
dc.contributor.author | Wang, Zhaoyu | |
dc.contributor.department | Department of Electrical and Computer Engineering | |
dc.date.accessioned | 2025-04-15T17:21:38Z | |
dc.date.available | 2025-04-15T17:21:38Z | |
dc.date.issued | 2023-04-19 | |
dc.description.abstract | Fast and accurate estimation of sensitivity matrices is significant for the enhancement of distribution system modeling and automation. Analytical estimations have mainly focused on voltage magnitude sensitivity to active/reactive power injections for unbalance networks with Wye-connected loads and neglecting DERs' smart inverter functionality. Hence, this paper enhances the scope of analytical estimation of sensitivity matrices for unbalanced networks with 1-phase, 2-phase, and 3-phase Delta/Wye-connected loads, DERs with smart inverter functionality, and substation/line step-voltage regulators (SVR). A composite bus model comprising of DER, Delta- and Wye-connected load is proposed to represent a generic distribution bus, which can be simplified to load, PV, or voltage-controlled bus as required. The proposed matrix-based analytical method consolidates voltage magnitude and angle sensitivity to active/reactive power injection and tap-position of all SVRs into a single algorithm. Extensive case studies on IEEE networks show the accuracy and wide scope of the proposed algorithm compared to the existing benchmark method. | |
dc.description.comments | This is a preprint from Maharjan, Salish, Rui Cheng, and Zhaoyu Wang. "Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks." arXiv preprint arXiv:2304.09855 (2023). doi: https://doi.org/10.48550/arXiv.2304.09855. </p><br>Published as Maharjan, Salish, Rui Cheng, and Zhaoyu Wang. "Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks." IEEE Transactions on Power Systems (2024). https://doi.org/10.1109/TPWRS.2024.3369615. | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/jrl86gOr | |
dc.language.iso | en | |
dc.source.uri | https://doi.org/10.48550/arXiv.2304.09855 | * |
dc.subject.disciplines | DegreeDisciplines::Engineering::Electrical and Computer Engineering::Systems and Communications | |
dc.subject.disciplines | DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::OS and Networks | |
dc.subject.disciplines | DegreeDisciplines::Engineering::Electrical and Computer Engineering::Controls and Control Theory | |
dc.subject.disciplines | DegreeDisciplines::Engineering::Electrical and Computer Engineering::Power and Energy | |
dc.subject.keywords | Distributed energy | |
dc.subject.keywords | resources | |
dc.subject.keywords | linear model | |
dc.subject.keywords | renewables | |
dc.subject.keywords | step regulators | |
dc.subject.keywords | voltage sensitivity | |
dc.subject.keywords | unbalanced distribution networks | |
dc.title | Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks | |
dc.type | preprint | |
dc.type.genre | preprint | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 5571d022-b2cb-49ad-89c2-27e93cfc1e92 | |
relation.isAuthorOfPublication | 06d3846d-d794-46b2-962a-c4d0569b2656 | |
relation.isOrgUnitOfPublication | a75a044c-d11e-44cd-af4f-dab1d83339ff |
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