IIES risk avoidance optimization method and system considering renewable energy uncertainty
The invention discloses an IIES risk avoidance optimization method and system considering renewable energy uncertainty, and belongs to the technical field of comprehensive energy. According to the IIES risk avoidance optimization method considering the renewable energy source uncertainty, the mean v...
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 | LI ZHIHAO MU YUNFEI CHEN ZHE WANG CONGSHAN JIA HONGJIE LIN DA ZHAO BO ZHANG XUESONG WANG XIANGJIN NI CHOUWEI MA YUHAN ZHANG LEIQI |
| description | The invention discloses an IIES risk avoidance optimization method and system considering renewable energy uncertainty, and belongs to the technical field of comprehensive energy. According to the IIES risk avoidance optimization method considering the renewable energy source uncertainty, the mean value and the volatility of an integrated energy microsystem IIES are learned from historical data, a renewable energy source scene considering the renewable energy source volatility is generated, the renewable energy source scene is clustered and cut down, and a typical scene is selected; the load abandoning condition risk value and economic cost are measured in a typical scene, and the accurate measurement of the load abandoning risk is realized; according to the risk preference coefficient, the load abandoning condition risk value and the economic cost of the integrated energy microsystem IIES are subjected to composite optimization, so that the composite optimization value of the load abandoning condition risk v |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115271445A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115271445A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115271445A3</originalsourceid><addsrcrecordid>eNqNjDEOwjAMRbswIOAO5gAMhVbMqCqiCwtsDJVpTLFonSgxoHB6MnAApv-G9_40uzRNfQLP4QH4smxQOgLrlEf-oLIVGEnv1gCKgRCD0gidlcCGPEsPnoTeeB0IEvg-wjMdeEUWjfNscsMh0OK3s2y5r8_VYUXOthQcdqnRtjrmebne5kVR7jb_OF-ijTwV</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>IIES risk avoidance optimization method and system considering renewable energy uncertainty</title><source>esp@cenet</source><creator>LI ZHIHAO ; MU YUNFEI ; CHEN ZHE ; WANG CONGSHAN ; JIA HONGJIE ; LIN DA ; ZHAO BO ; ZHANG XUESONG ; WANG XIANGJIN ; NI CHOUWEI ; MA YUHAN ; ZHANG LEIQI</creator><creatorcontrib>LI ZHIHAO ; MU YUNFEI ; CHEN ZHE ; WANG CONGSHAN ; JIA HONGJIE ; LIN DA ; ZHAO BO ; ZHANG XUESONG ; WANG XIANGJIN ; NI CHOUWEI ; MA YUHAN ; ZHANG LEIQI</creatorcontrib><description>The invention discloses an IIES risk avoidance optimization method and system considering renewable energy uncertainty, and belongs to the technical field of comprehensive energy. According to the IIES risk avoidance optimization method considering the renewable energy source uncertainty, the mean value and the volatility of an integrated energy microsystem IIES are learned from historical data, a renewable energy source scene considering the renewable energy source volatility is generated, the renewable energy source scene is clustered and cut down, and a typical scene is selected; the load abandoning condition risk value and economic cost are measured in a typical scene, and the accurate measurement of the load abandoning risk is realized; according to the risk preference coefficient, the load abandoning condition risk value and the economic cost of the integrated energy microsystem IIES are subjected to composite optimization, so that the composite optimization value of the load abandoning condition risk v</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 ; ELECTRIC DIGITAL DATA PROCESSING ; 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=20221101&DB=EPODOC&CC=CN&NR=115271445A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221101&DB=EPODOC&CC=CN&NR=115271445A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI ZHIHAO</creatorcontrib><creatorcontrib>MU YUNFEI</creatorcontrib><creatorcontrib>CHEN ZHE</creatorcontrib><creatorcontrib>WANG CONGSHAN</creatorcontrib><creatorcontrib>JIA HONGJIE</creatorcontrib><creatorcontrib>LIN DA</creatorcontrib><creatorcontrib>ZHAO BO</creatorcontrib><creatorcontrib>ZHANG XUESONG</creatorcontrib><creatorcontrib>WANG XIANGJIN</creatorcontrib><creatorcontrib>NI CHOUWEI</creatorcontrib><creatorcontrib>MA YUHAN</creatorcontrib><creatorcontrib>ZHANG LEIQI</creatorcontrib><title>IIES risk avoidance optimization method and system considering renewable energy uncertainty</title><description>The invention discloses an IIES risk avoidance optimization method and system considering renewable energy uncertainty, and belongs to the technical field of comprehensive energy. According to the IIES risk avoidance optimization method considering the renewable energy source uncertainty, the mean value and the volatility of an integrated energy microsystem IIES are learned from historical data, a renewable energy source scene considering the renewable energy source volatility is generated, the renewable energy source scene is clustered and cut down, and a typical scene is selected; the load abandoning condition risk value and economic cost are measured in a typical scene, and the accurate measurement of the load abandoning risk is realized; according to the risk preference coefficient, the load abandoning condition risk value and the economic cost of the integrated energy microsystem IIES are subjected to composite optimization, so that the composite optimization value of the load abandoning condition risk v</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>ELECTRIC DIGITAL DATA PROCESSING</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>eNqNjDEOwjAMRbswIOAO5gAMhVbMqCqiCwtsDJVpTLFonSgxoHB6MnAApv-G9_40uzRNfQLP4QH4smxQOgLrlEf-oLIVGEnv1gCKgRCD0gidlcCGPEsPnoTeeB0IEvg-wjMdeEUWjfNscsMh0OK3s2y5r8_VYUXOthQcdqnRtjrmebne5kVR7jb_OF-ijTwV</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>LI ZHIHAO</creator><creator>MU YUNFEI</creator><creator>CHEN ZHE</creator><creator>WANG CONGSHAN</creator><creator>JIA HONGJIE</creator><creator>LIN DA</creator><creator>ZHAO BO</creator><creator>ZHANG XUESONG</creator><creator>WANG XIANGJIN</creator><creator>NI CHOUWEI</creator><creator>MA YUHAN</creator><creator>ZHANG LEIQI</creator><scope>EVB</scope></search><sort><creationdate>20221101</creationdate><title>IIES risk avoidance optimization method and system considering renewable energy uncertainty</title><author>LI ZHIHAO ; MU YUNFEI ; CHEN ZHE ; WANG CONGSHAN ; JIA HONGJIE ; LIN DA ; ZHAO BO ; ZHANG XUESONG ; WANG XIANGJIN ; NI CHOUWEI ; MA YUHAN ; ZHANG LEIQI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115271445A3</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>ELECTRIC DIGITAL DATA PROCESSING</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>LI ZHIHAO</creatorcontrib><creatorcontrib>MU YUNFEI</creatorcontrib><creatorcontrib>CHEN ZHE</creatorcontrib><creatorcontrib>WANG CONGSHAN</creatorcontrib><creatorcontrib>JIA HONGJIE</creatorcontrib><creatorcontrib>LIN DA</creatorcontrib><creatorcontrib>ZHAO BO</creatorcontrib><creatorcontrib>ZHANG XUESONG</creatorcontrib><creatorcontrib>WANG XIANGJIN</creatorcontrib><creatorcontrib>NI CHOUWEI</creatorcontrib><creatorcontrib>MA YUHAN</creatorcontrib><creatorcontrib>ZHANG LEIQI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI ZHIHAO</au><au>MU YUNFEI</au><au>CHEN ZHE</au><au>WANG CONGSHAN</au><au>JIA HONGJIE</au><au>LIN DA</au><au>ZHAO BO</au><au>ZHANG XUESONG</au><au>WANG XIANGJIN</au><au>NI CHOUWEI</au><au>MA YUHAN</au><au>ZHANG LEIQI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IIES risk avoidance optimization method and system considering renewable energy uncertainty</title><date>2022-11-01</date><risdate>2022</risdate><abstract>The invention discloses an IIES risk avoidance optimization method and system considering renewable energy uncertainty, and belongs to the technical field of comprehensive energy. According to the IIES risk avoidance optimization method considering the renewable energy source uncertainty, the mean value and the volatility of an integrated energy microsystem IIES are learned from historical data, a renewable energy source scene considering the renewable energy source volatility is generated, the renewable energy source scene is clustered and cut down, and a typical scene is selected; the load abandoning condition risk value and economic cost are measured in a typical scene, and the accurate measurement of the load abandoning risk is realized; according to the risk preference coefficient, the load abandoning condition risk value and the economic cost of the integrated energy microsystem IIES are subjected to composite optimization, so that the composite optimization value of the load abandoning condition risk v</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN115271445A |
| 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 ELECTRIC DIGITAL DATA PROCESSING 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 | IIES risk avoidance optimization method and system considering renewable energy uncertainty |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T02%3A55%3A30IST&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=LI%20ZHIHAO&rft.date=2022-11-01&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115271445A%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 |