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DC Field | Value | Language |
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dc.rights.license | restrictedAccess | - |
dc.contributor.author | Ranković, Aleksandar | - |
dc.contributor.author | Maksimovic B. | - |
dc.contributor.author | Sarić A. | - |
dc.date.accessioned | 2021-04-20T20:49:48Z | - |
dc.date.available | 2021-04-20T20:49:48Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0142-0615 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/12436 | - |
dc.description.abstract | This paper presents the improved Weighted Least Square (WLS) based three-phase state estimation algorithm for active distribution networks. The three-phase component models are developed for characteristic types of transformers (respecting their winding connections), lines (three and four wires), loads (voltage dependent grounded-Y, ungrounded-Y and ungrounded-Δ) and distributed generation (DG) units (synchronous generator, induction generator and three-phase (three- and four-wire) electronically-coupled based DG units). The unmonitored (or partially monitored) powers of loads and DG units are initially estimated from normalized daily load profiles, or from external inputs (historical database/weather forecast), such as wind, sun and water inflow forecasts, respectively. These measurements are introduced with lower weights (treated as the pseudo-measurements in the proposed state estimation algorithm). The results and practical aspects of the proposed methodology are demonstrated on two characteristic examples: modified IEEE 13-bus test system and 322-bus real-world distribution network. © 2013 Elsevier Ltd. All rights reserved. | - |
dc.rights | info:eu-repo/semantics/restrictedAccess | - |
dc.source | International Journal of Electrical Power and Energy Systems | - |
dc.title | A three-phase state estimation in active distribution networks | - |
dc.type | article | - |
dc.identifier.doi | 10.1016/j.ijepes.2013.07.001 | - |
dc.identifier.scopus | 2-s2.0-84881132751 | - |
Appears in Collections: | Faculty of Technical Sciences, Čačak |
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PaperMissing.pdf Restricted Access | 29.86 kB | Adobe PDF | View/Open |
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