FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2582529172> ?p ?o ?g. }

• W2582529172 endingPage "94" @default.
• W2582529172 startingPage "80" @default.
• W2582529172 abstract "Multi-terminal high voltage dc (HVdc) grids can eventually became a feasible solution to transport energy to remote and/ or distant areas and its exploitation depend, among other things, on the performance of the converter terminals. Therefore, to optimize the power transmission strategy along such a grid, it is necessary to recognize the efficiency of all the converters in all points of operation, namely with the different load conditions. In this vision, the aim of this work is to provide the methodology to model the modular multilevel converter (MMC) efficiency by means of a mathematical expression that can describe, over a broad range of active and reactive power flow combinations, the power losses generated by the semiconductors. According to the presented methodology, a polynomial-based model with a reduced number of coefficients is deducted, in such a way that can be directly used for optimal power flow (OPF) studies. The accuracy of the proposed model is characterized by an absolute relative error, at the worst scenario, approximately equal to 3%." @default.
• W2582529172 created "2017-02-03" @default.
• W2582529172 creator A5067766937 @default.
• W2582529172 creator A5091210916 @default.
• W2582529172 date "2017-05-01" @default.
• W2582529172 modified "2023-09-24" @default.
• W2582529172 title "Modular multilevel converter losses model for HVdc applications" @default.
• W2582529172 cites W1570765840 @default.
• W2582529172 cites W1646854882 @default.
• W2582529172 cites W1650310635 @default.
• W2582529172 cites W1915388693 @default.
• W2582529172 cites W2005926925 @default.
• W2582529172 cites W2008162440 @default.
• W2582529172 cites W2021871997 @default.
• W2582529172 cites W2024806824 @default.
• W2582529172 cites W2025434244 @default.
• W2582529172 cites W2028144339 @default.
• W2582529172 cites W2042876774 @default.
• W2582529172 cites W2052929953 @default.
• W2582529172 cites W2077452379 @default.
• W2582529172 cites W2086376312 @default.
• W2582529172 cites W2088451174 @default.
• W2582529172 cites W2091065431 @default.
• W2582529172 cites W2106107859 @default.
• W2582529172 cites W2110592902 @default.
• W2582529172 cites W2124881904 @default.
• W2582529172 cites W2136635391 @default.
• W2582529172 cites W2139885352 @default.
• W2582529172 cites W2143182093 @default.
• W2582529172 cites W2147640475 @default.
• W2582529172 cites W2174974559 @default.
• W2582529172 cites W2175639182 @default.
• W2582529172 cites W2188533375 @default.
• W2582529172 cites W2236623899 @default.
• W2582529172 cites W2245739978 @default.
• W2582529172 cites W2279211479 @default.
• W2582529172 cites W2316904322 @default.
• W2582529172 cites W2320858657 @default.
• W2582529172 cites W2513099720 @default.
• W2582529172 cites W2549788447 @default.
• W2582529172 cites W3141456309 @default.
• W2582529172 cites W324177084 @default.
• W2582529172 cites W50271627 @default.
• W2582529172 cites W2178160054 @default.
• W2582529172 doi "https://doi.org/10.1016/j.epsr.2017.01.010" @default.
• W2582529172 hasPublicationYear "2017" @default.
• W2582529172 type Work @default.
• W2582529172 sameAs 2582529172 @default.
• W2582529172 citedByCount "9" @default.
• W2582529172 countsByYear W25825291722017 @default.
• W2582529172 countsByYear W25825291722018 @default.
• W2582529172 countsByYear W25825291722019 @default.
• W2582529172 countsByYear W25825291722021 @default.
• W2582529172 crossrefType "journal-article" @default.
• W2582529172 hasAuthorship W2582529172A5067766937 @default.
• W2582529172 hasAuthorship W2582529172A5091210916 @default.
• W2582529172 hasBestOaLocation W25825291722 @default.
• W2582529172 hasConcept C101468663 @default.
• W2582529172 hasConcept C111919701 @default.
• W2582529172 hasConcept C119599485 @default.
• W2582529172 hasConcept C121332964 @default.
• W2582529172 hasConcept C127413603 @default.
• W2582529172 hasConcept C146978453 @default.
• W2582529172 hasConcept C154945302 @default.
• W2582529172 hasConcept C163258240 @default.
• W2582529172 hasConcept C165801399 @default.
• W2582529172 hasConcept C184720557 @default.
• W2582529172 hasConcept C18762648 @default.
• W2582529172 hasConcept C187691185 @default.
• W2582529172 hasConcept C204323151 @default.
• W2582529172 hasConcept C24326235 @default.
• W2582529172 hasConcept C2524010 @default.
• W2582529172 hasConcept C2775924081 @default.
• W2582529172 hasConcept C2776620479 @default.
• W2582529172 hasConcept C2778422915 @default.
• W2582529172 hasConcept C2781163877 @default.
• W2582529172 hasConcept C2986056383 @default.
• W2582529172 hasConcept C33923547 @default.
• W2582529172 hasConcept C41008148 @default.
• W2582529172 hasConcept C47446073 @default.
• W2582529172 hasConcept C62520636 @default.
• W2582529172 hasConcept C761482 @default.
• W2582529172 hasConcept C76155785 @default.
• W2582529172 hasConcept C78519656 @default.
• W2582529172 hasConcept C89227174 @default.
• W2582529172 hasConcept C92018576 @default.
• W2582529172 hasConceptScore W2582529172C101468663 @default.
• W2582529172 hasConceptScore W2582529172C111919701 @default.
• W2582529172 hasConceptScore W2582529172C119599485 @default.
• W2582529172 hasConceptScore W2582529172C121332964 @default.
• W2582529172 hasConceptScore W2582529172C127413603 @default.
• W2582529172 hasConceptScore W2582529172C146978453 @default.
• W2582529172 hasConceptScore W2582529172C154945302 @default.
• W2582529172 hasConceptScore W2582529172C163258240 @default.
• W2582529172 hasConceptScore W2582529172C165801399 @default.
• W2582529172 hasConceptScore W2582529172C184720557 @default.
• W2582529172 hasConceptScore W2582529172C18762648 @default.
• W2582529172 hasConceptScore W2582529172C187691185 @default.

• next