Method for obtaining decision variables for determining virtual power plant scheduling strategy
The invention discloses a method for obtaining decision variables for determining a virtual power plant scheduling strategy. The method comprises the steps of obtaining reference information for renewable energy power generation, a target function of a virtual power plant and operation constraint co...
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 | LUO XIAOQIANG JUNG YONG-YEOP PAN KAI CHENG QUANBING WANG XIANBIN LIU SHUO XU JIAJIA HAO YINGPENG WANG JUN HUANG YAN ZHANG HAN LIANG YAN WANG HUIXIAN CHEN JINDIAN ZAN GUANGJIE |
| description | The invention discloses a method for obtaining decision variables for determining a virtual power plant scheduling strategy. The method comprises the steps of obtaining reference information for renewable energy power generation, a target function of a virtual power plant and operation constraint conditions of the virtual power plant; the reference information comprises power generation confidence interval information and electricity price scene information, and the objective function is used for obtaining the maximum income value of the virtual power plant; according to the reference information, the target function and the operation constraint condition, constructing a target optimization scheduling model of the virtual power plant; and obtaining a decision variable according to the target optimization scheduling model. According to the method, when the target optimization scheduling model of the virtual power plant is constructed, the power generation uncertainty of renewable energy sources, the market ele |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117993942A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117993942A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117993942A3</originalsourceid><addsrcrecordid>eNqNyr0KwjAUhuEsDqLew_ECHGoFyShFcdHJvZw2X9tATEJyWvHuxZ8LcHqH95mr-gIZgqEuJAqNsPXW92TQ2myDp4mT5cYhf4CBIN2_ZLJJRnYUwwOJomMvlNsBZnTvnSWxoH8u1axjl7H6daHWp-OtOm8QQ40cuYWH1NW1KPZal3q3PZT_mBfrTD3z</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for obtaining decision variables for determining virtual power plant scheduling strategy</title><source>esp@cenet</source><creator>LUO XIAOQIANG ; JUNG YONG-YEOP ; PAN KAI ; CHENG QUANBING ; WANG XIANBIN ; LIU SHUO ; XU JIAJIA ; HAO YINGPENG ; WANG JUN ; HUANG YAN ; ZHANG HAN ; LIANG YAN ; WANG HUIXIAN ; CHEN JINDIAN ; ZAN GUANGJIE</creator><creatorcontrib>LUO XIAOQIANG ; JUNG YONG-YEOP ; PAN KAI ; CHENG QUANBING ; WANG XIANBIN ; LIU SHUO ; XU JIAJIA ; HAO YINGPENG ; WANG JUN ; HUANG YAN ; ZHANG HAN ; LIANG YAN ; WANG HUIXIAN ; CHEN JINDIAN ; ZAN GUANGJIE</creatorcontrib><description>The invention discloses a method for obtaining decision variables for determining a virtual power plant scheduling strategy. The method comprises the steps of obtaining reference information for renewable energy power generation, a target function of a virtual power plant and operation constraint conditions of the virtual power plant; the reference information comprises power generation confidence interval information and electricity price scene information, and the objective function is used for obtaining the maximum income value of the virtual power plant; according to the reference information, the target function and the operation constraint condition, constructing a target optimization scheduling model of the virtual power plant; and obtaining a decision variable according to the target optimization scheduling model. According to the method, when the target optimization scheduling model of the virtual power plant is constructed, the power generation uncertainty of renewable energy sources, the market ele</description><language>chi ; eng</language><subject>CALCULATING ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRICITY ; GENERATION ; PHYSICS ; SYSTEMS FOR STORING ELECTRIC ENERGY ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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=20240507&DB=EPODOC&CC=CN&NR=117993942A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240507&DB=EPODOC&CC=CN&NR=117993942A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LUO XIAOQIANG</creatorcontrib><creatorcontrib>JUNG YONG-YEOP</creatorcontrib><creatorcontrib>PAN KAI</creatorcontrib><creatorcontrib>CHENG QUANBING</creatorcontrib><creatorcontrib>WANG XIANBIN</creatorcontrib><creatorcontrib>LIU SHUO</creatorcontrib><creatorcontrib>XU JIAJIA</creatorcontrib><creatorcontrib>HAO YINGPENG</creatorcontrib><creatorcontrib>WANG JUN</creatorcontrib><creatorcontrib>HUANG YAN</creatorcontrib><creatorcontrib>ZHANG HAN</creatorcontrib><creatorcontrib>LIANG YAN</creatorcontrib><creatorcontrib>WANG HUIXIAN</creatorcontrib><creatorcontrib>CHEN JINDIAN</creatorcontrib><creatorcontrib>ZAN GUANGJIE</creatorcontrib><title>Method for obtaining decision variables for determining virtual power plant scheduling strategy</title><description>The invention discloses a method for obtaining decision variables for determining a virtual power plant scheduling strategy. The method comprises the steps of obtaining reference information for renewable energy power generation, a target function of a virtual power plant and operation constraint conditions of the virtual power plant; the reference information comprises power generation confidence interval information and electricity price scene information, and the objective function is used for obtaining the maximum income value of the virtual power plant; according to the reference information, the target function and the operation constraint condition, constructing a target optimization scheduling model of the virtual power plant; and obtaining a decision variable according to the target optimization scheduling model. According to the method, when the target optimization scheduling model of the virtual power plant is constructed, the power generation uncertainty of renewable energy sources, the market ele</description><subject>CALCULATING</subject><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</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>PHYSICS</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyr0KwjAUhuEsDqLew_ECHGoFyShFcdHJvZw2X9tATEJyWvHuxZ8LcHqH95mr-gIZgqEuJAqNsPXW92TQ2myDp4mT5cYhf4CBIN2_ZLJJRnYUwwOJomMvlNsBZnTvnSWxoH8u1axjl7H6daHWp-OtOm8QQ40cuYWH1NW1KPZal3q3PZT_mBfrTD3z</recordid><startdate>20240507</startdate><enddate>20240507</enddate><creator>LUO XIAOQIANG</creator><creator>JUNG YONG-YEOP</creator><creator>PAN KAI</creator><creator>CHENG QUANBING</creator><creator>WANG XIANBIN</creator><creator>LIU SHUO</creator><creator>XU JIAJIA</creator><creator>HAO YINGPENG</creator><creator>WANG JUN</creator><creator>HUANG YAN</creator><creator>ZHANG HAN</creator><creator>LIANG YAN</creator><creator>WANG HUIXIAN</creator><creator>CHEN JINDIAN</creator><creator>ZAN GUANGJIE</creator><scope>EVB</scope></search><sort><creationdate>20240507</creationdate><title>Method for obtaining decision variables for determining virtual power plant scheduling strategy</title><author>LUO XIAOQIANG ; JUNG YONG-YEOP ; PAN KAI ; CHENG QUANBING ; WANG XIANBIN ; LIU SHUO ; XU JIAJIA ; HAO YINGPENG ; WANG JUN ; HUANG YAN ; ZHANG HAN ; LIANG YAN ; WANG HUIXIAN ; CHEN JINDIAN ; ZAN GUANGJIE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117993942A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</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>PHYSICS</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>LUO XIAOQIANG</creatorcontrib><creatorcontrib>JUNG YONG-YEOP</creatorcontrib><creatorcontrib>PAN KAI</creatorcontrib><creatorcontrib>CHENG QUANBING</creatorcontrib><creatorcontrib>WANG XIANBIN</creatorcontrib><creatorcontrib>LIU SHUO</creatorcontrib><creatorcontrib>XU JIAJIA</creatorcontrib><creatorcontrib>HAO YINGPENG</creatorcontrib><creatorcontrib>WANG JUN</creatorcontrib><creatorcontrib>HUANG YAN</creatorcontrib><creatorcontrib>ZHANG HAN</creatorcontrib><creatorcontrib>LIANG YAN</creatorcontrib><creatorcontrib>WANG HUIXIAN</creatorcontrib><creatorcontrib>CHEN JINDIAN</creatorcontrib><creatorcontrib>ZAN GUANGJIE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LUO XIAOQIANG</au><au>JUNG YONG-YEOP</au><au>PAN KAI</au><au>CHENG QUANBING</au><au>WANG XIANBIN</au><au>LIU SHUO</au><au>XU JIAJIA</au><au>HAO YINGPENG</au><au>WANG JUN</au><au>HUANG YAN</au><au>ZHANG HAN</au><au>LIANG YAN</au><au>WANG HUIXIAN</au><au>CHEN JINDIAN</au><au>ZAN GUANGJIE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for obtaining decision variables for determining virtual power plant scheduling strategy</title><date>2024-05-07</date><risdate>2024</risdate><abstract>The invention discloses a method for obtaining decision variables for determining a virtual power plant scheduling strategy. The method comprises the steps of obtaining reference information for renewable energy power generation, a target function of a virtual power plant and operation constraint conditions of the virtual power plant; the reference information comprises power generation confidence interval information and electricity price scene information, and the objective function is used for obtaining the maximum income value of the virtual power plant; according to the reference information, the target function and the operation constraint condition, constructing a target optimization scheduling model of the virtual power plant; and obtaining a decision variable according to the target optimization scheduling model. According to the method, when the target optimization scheduling model of the virtual power plant is constructed, the power generation uncertainty of renewable energy sources, the market ele</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN117993942A |
| source | esp@cenet |
| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Method for obtaining decision variables for determining virtual power plant scheduling strategy |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T13%3A09%3A37IST&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=LUO%20XIAOQIANG&rft.date=2024-05-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117993942A%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 |