Power distribution operation risk assessment method and system based on key element data of power distribution network
The invention relates to the technical field of power supply, in particular to a power distribution operation risk assessment method and system based on key element data of a power distribution network, and the method comprises the steps: collecting information data needed by power distribution oper...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | HONG HAISHENG LIN HAI TANG XIAN LIU ZHE YU WENCHENG WANG WEICHAO LUO FENG SHANG MINGYUAN XU CHENDE QIN YANG CHEN YONGSHU |
| description | The invention relates to the technical field of power supply, in particular to a power distribution operation risk assessment method and system based on key element data of a power distribution network, and the method comprises the steps: collecting information data needed by power distribution operation risk assessment; identifying abnormal data points of the information data by adopting an isolated forest machine learning algorithm based on an isolated division mechanism, and screening out the information data without the abnormal data points; adding a synthetic sample by adopting an oversampling algorithm based on a random minority class, and carrying out equalization processing on the information data; classifying the data after equalization processing so as to determine transformer area samples of different class clusters; performing gateway connection analysis on the transformer area risk influence factors, and determining key risk influence factors; an information entropy technology is used to construc |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114943475A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114943475A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114943475A3</originalsourceid><addsrcrecordid>eNqNzLEKwkAQhOE0FqK-w_oAFiERsQxBsRIL-7DxJngkuT1uT0Pe3hDsbKzmLz5mmbxvMiCQsRqDrV_RiiPxCDxXsNoSq0K1h4vUIz7FEDtDOmpETzUrDE20xUjoMDPDkUka8r_fDnGQ0K6TRcOdYvPdVbI9n-7lZQcvFdTzA5Osymua5sc8yw_7IvvHfAC69EaU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Power distribution operation risk assessment method and system based on key element data of power distribution network</title><source>esp@cenet</source><creator>HONG HAISHENG ; LIN HAI ; TANG XIAN ; LIU ZHE ; YU WENCHENG ; WANG WEICHAO ; LUO FENG ; SHANG MINGYUAN ; XU CHENDE ; QIN YANG ; CHEN YONGSHU</creator><creatorcontrib>HONG HAISHENG ; LIN HAI ; TANG XIAN ; LIU ZHE ; YU WENCHENG ; WANG WEICHAO ; LUO FENG ; SHANG MINGYUAN ; XU CHENDE ; QIN YANG ; CHEN YONGSHU</creatorcontrib><description>The invention relates to the technical field of power supply, in particular to a power distribution operation risk assessment method and system based on key element data of a power distribution network, and the method comprises the steps: collecting information data needed by power distribution operation risk assessment; identifying abnormal data points of the information data by adopting an isolated forest machine learning algorithm based on an isolated division mechanism, and screening out the information data without the abnormal data points; adding a synthetic sample by adopting an oversampling algorithm based on a random minority class, and carrying out equalization processing on the information data; classifying the data after equalization processing so as to determine transformer area samples of different class clusters; performing gateway connection analysis on the transformer area risk influence factors, and determining key risk influence factors; an information entropy technology is used to construc</description><language>chi ; eng</language><subject>CALCULATING ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRICITY ; GENERATION ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS FOR STORING ELECTRIC ENERGY ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</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=20220826&DB=EPODOC&CC=CN&NR=114943475A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220826&DB=EPODOC&CC=CN&NR=114943475A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HONG HAISHENG</creatorcontrib><creatorcontrib>LIN HAI</creatorcontrib><creatorcontrib>TANG XIAN</creatorcontrib><creatorcontrib>LIU ZHE</creatorcontrib><creatorcontrib>YU WENCHENG</creatorcontrib><creatorcontrib>WANG WEICHAO</creatorcontrib><creatorcontrib>LUO FENG</creatorcontrib><creatorcontrib>SHANG MINGYUAN</creatorcontrib><creatorcontrib>XU CHENDE</creatorcontrib><creatorcontrib>QIN YANG</creatorcontrib><creatorcontrib>CHEN YONGSHU</creatorcontrib><title>Power distribution operation risk assessment method and system based on key element data of power distribution network</title><description>The invention relates to the technical field of power supply, in particular to a power distribution operation risk assessment method and system based on key element data of a power distribution network, and the method comprises the steps: collecting information data needed by power distribution operation risk assessment; identifying abnormal data points of the information data by adopting an isolated forest machine learning algorithm based on an isolated division mechanism, and screening out the information data without the abnormal data points; adding a synthetic sample by adopting an oversampling algorithm based on a random minority class, and carrying out equalization processing on the information data; classifying the data after equalization processing so as to determine transformer area samples of different class clusters; performing gateway connection analysis on the transformer area risk influence factors, and determining key risk influence factors; an information entropy technology is used to construc</description><subject>CALCULATING</subject><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzLEKwkAQhOE0FqK-w_oAFiERsQxBsRIL-7DxJngkuT1uT0Pe3hDsbKzmLz5mmbxvMiCQsRqDrV_RiiPxCDxXsNoSq0K1h4vUIz7FEDtDOmpETzUrDE20xUjoMDPDkUka8r_fDnGQ0K6TRcOdYvPdVbI9n-7lZQcvFdTzA5Osymua5sc8yw_7IvvHfAC69EaU</recordid><startdate>20220826</startdate><enddate>20220826</enddate><creator>HONG HAISHENG</creator><creator>LIN HAI</creator><creator>TANG XIAN</creator><creator>LIU ZHE</creator><creator>YU WENCHENG</creator><creator>WANG WEICHAO</creator><creator>LUO FENG</creator><creator>SHANG MINGYUAN</creator><creator>XU CHENDE</creator><creator>QIN YANG</creator><creator>CHEN YONGSHU</creator><scope>EVB</scope></search><sort><creationdate>20220826</creationdate><title>Power distribution operation risk assessment method and system based on key element data of power distribution network</title><author>HONG HAISHENG ; LIN HAI ; TANG XIAN ; LIU ZHE ; YU WENCHENG ; WANG WEICHAO ; LUO FENG ; SHANG MINGYUAN ; XU CHENDE ; QIN YANG ; CHEN YONGSHU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114943475A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRICITY</topic><topic>GENERATION</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SYSTEMS FOR STORING ELECTRIC ENERGY</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HONG HAISHENG</creatorcontrib><creatorcontrib>LIN HAI</creatorcontrib><creatorcontrib>TANG XIAN</creatorcontrib><creatorcontrib>LIU ZHE</creatorcontrib><creatorcontrib>YU WENCHENG</creatorcontrib><creatorcontrib>WANG WEICHAO</creatorcontrib><creatorcontrib>LUO FENG</creatorcontrib><creatorcontrib>SHANG MINGYUAN</creatorcontrib><creatorcontrib>XU CHENDE</creatorcontrib><creatorcontrib>QIN YANG</creatorcontrib><creatorcontrib>CHEN YONGSHU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HONG HAISHENG</au><au>LIN HAI</au><au>TANG XIAN</au><au>LIU ZHE</au><au>YU WENCHENG</au><au>WANG WEICHAO</au><au>LUO FENG</au><au>SHANG MINGYUAN</au><au>XU CHENDE</au><au>QIN YANG</au><au>CHEN YONGSHU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Power distribution operation risk assessment method and system based on key element data of power distribution network</title><date>2022-08-26</date><risdate>2022</risdate><abstract>The invention relates to the technical field of power supply, in particular to a power distribution operation risk assessment method and system based on key element data of a power distribution network, and the method comprises the steps: collecting information data needed by power distribution operation risk assessment; identifying abnormal data points of the information data by adopting an isolated forest machine learning algorithm based on an isolated division mechanism, and screening out the information data without the abnormal data points; adding a synthetic sample by adopting an oversampling algorithm based on a random minority class, and carrying out equalization processing on the information data; classifying the data after equalization processing so as to determine transformer area samples of different class clusters; performing gateway connection analysis on the transformer area risk influence factors, and determining key risk influence factors; an information entropy technology is used to construc</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN114943475A |
| source | esp@cenet |
| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Power distribution operation risk assessment method and system based on key element data of power distribution network |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T18%3A31%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=HONG%20HAISHENG&rft.date=2022-08-26&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114943475A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |