Converter transformer winding temperature prediction method and system in direct current magnetic bias state
The invention discloses a converter transformer winding temperature prediction method and system in a direct current magnetic bias state, and relates to the technical field of power transformers, and the method comprises the following steps: taking the winding loss and the iron core loss of a conver...
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creator | DAI JINCHENG WU LEYANG LIU FANGHAN CHEN FENG |
description | The invention discloses a converter transformer winding temperature prediction method and system in a direct current magnetic bias state, and relates to the technical field of power transformers, and the method comprises the following steps: taking the winding loss and the iron core loss of a converter transformer in the direct current magnetic bias state as heat sources, carrying out the fluid-temperature field multi-time simulation of a three-dimensional equivalent flow heat model, and obtaining a three-dimensional equivalent flow heat model; simulation results under different inlet flow rates and environment temperatures are obtained respectively; the integrated regression tree model is trained through different inlet flow rates, environment temperatures and corresponding simulation results, and various temperature prediction models are obtained; and respectively inputting different inlet flow velocities and environment temperatures in different magnetic bias states into various temperature prediction mode |
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simulation results under different inlet flow rates and environment temperatures are obtained respectively; the integrated regression tree model is trained through different inlet flow rates, environment temperatures and corresponding simulation results, and various temperature prediction models are obtained; and respectively inputting different inlet flow velocities and environment temperatures in different magnetic bias states into various temperature prediction mode</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240712&DB=EPODOC&CC=CN&NR=118332930A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240712&DB=EPODOC&CC=CN&NR=118332930A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>DAI JINCHENG</creatorcontrib><creatorcontrib>WU LEYANG</creatorcontrib><creatorcontrib>LIU FANGHAN</creatorcontrib><creatorcontrib>CHEN FENG</creatorcontrib><title>Converter transformer winding temperature prediction method and system in direct current magnetic bias state</title><description>The invention discloses a converter transformer winding temperature prediction method and system in a direct current magnetic bias state, and relates to the technical field of power transformers, and the method comprises the following steps: taking the winding loss and the iron core loss of a converter transformer in the direct current magnetic bias state as heat sources, carrying out the fluid-temperature field multi-time simulation of a three-dimensional equivalent flow heat model, and obtaining a three-dimensional equivalent flow heat model; simulation results under different inlet flow rates and environment temperatures are obtained respectively; the integrated regression tree model is trained through different inlet flow rates, environment temperatures and corresponding simulation results, and various temperature prediction models are obtained; and respectively inputting different inlet flow velocities and environment temperatures in different magnetic bias states into various temperature prediction mode</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEOwjAMALswIOAP5gFIlCwwVhWIiYm9MolbLDVO5Lggfk8HHsB0N9wtq7FN8iI1UjBFKX3SOPubJbAMYBQzKdqkBFkpsDdOApHsmQKgBCifMkfAAoGVvIGfVEkMIg5Cxh4ejAWKodG6WvQ4Ftr8uKq2l_O9ve4op45KRk_z0rW3uj46dzi5feP-ab7ePELf</recordid><startdate>20240712</startdate><enddate>20240712</enddate><creator>DAI JINCHENG</creator><creator>WU LEYANG</creator><creator>LIU FANGHAN</creator><creator>CHEN FENG</creator><scope>EVB</scope></search><sort><creationdate>20240712</creationdate><title>Converter transformer winding temperature prediction method and system in direct current magnetic bias state</title><author>DAI JINCHENG ; 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simulation results under different inlet flow rates and environment temperatures are obtained respectively; the integrated regression tree model is trained through different inlet flow rates, environment temperatures and corresponding simulation results, and various temperature prediction models are obtained; and respectively inputting different inlet flow velocities and environment temperatures in different magnetic bias states into various temperature prediction mode</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Converter transformer winding temperature prediction method and system in direct current magnetic bias state |
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