Joint optimization scheduling method based on deep peak regulation and related device
The invention discloses a joint optimization scheduling method based on deep peak regulation and a related device, and the method comprises the steps: obtaining power grid related data and conventional energy unit related parameters, the power grid related data comprises a load prediction value, new...
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 | CHENG LANFEN WU MIAN SU XIANGRUI TANG CHONG ZHU JISONG XUAN PEIZHENG |
| description | The invention discloses a joint optimization scheduling method based on deep peak regulation and a related device, and the method comprises the steps: obtaining power grid related data and conventional energy unit related parameters, the power grid related data comprises a load prediction value, new energy prediction output and power grid topology data, and the conventional energy unit related parameters comprise a quotation parameter and a physical parameter; a joint optimization scheduling model is constructed by obtaining a target function based on deep peak regulation and configuring corresponding constraint conditions, wherein the constraint conditions comprise deep peak regulation output constraint, system constraint, conventional energy unit constraint, demand side response constraint and power flow constraint; and calculating and analyzing the related data of the power grid and the related parameters of the conventional energy unit by adopting the joint optimization scheduling model to obtain a schedu |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115764899A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115764899A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115764899A3</originalsourceid><addsrcrecordid>eNrjZAj1ys_MK1HILyjJzM2sSizJzM9TKE7OSE0pzcnMS1fITS3JyE9RSEosTk1RAEqlpKYWKBSkJmYrFKWml-ZA1CfmpQC5QA5QTUpqWWZyKg8Da1piTnEqL5TmZlB0cw1x9tBNLciPTy0uSExOzUstiXf2MzQ0NTczsbC0dDQmRg0A_Io5aw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Joint optimization scheduling method based on deep peak regulation and related device</title><source>esp@cenet</source><creator>CHENG LANFEN ; WU MIAN ; SU XIANGRUI ; TANG CHONG ; ZHU JISONG ; XUAN PEIZHENG</creator><creatorcontrib>CHENG LANFEN ; WU MIAN ; SU XIANGRUI ; TANG CHONG ; ZHU JISONG ; XUAN PEIZHENG</creatorcontrib><description>The invention discloses a joint optimization scheduling method based on deep peak regulation and a related device, and the method comprises the steps: obtaining power grid related data and conventional energy unit related parameters, the power grid related data comprises a load prediction value, new energy prediction output and power grid topology data, and the conventional energy unit related parameters comprise a quotation parameter and a physical parameter; a joint optimization scheduling model is constructed by obtaining a target function based on deep peak regulation and configuring corresponding constraint conditions, wherein the constraint conditions comprise deep peak regulation output constraint, system constraint, conventional energy unit constraint, demand side response constraint and power flow constraint; and calculating and analyzing the related data of the power grid and the related parameters of the conventional energy unit by adopting the joint optimization scheduling model to obtain a schedu</description><language>chi ; eng</language><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; ELECTRICITY ; GENERATION ; SYSTEMS FOR STORING ELECTRIC ENERGY</subject><creationdate>2023</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=20230307&DB=EPODOC&CC=CN&NR=115764899A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230307&DB=EPODOC&CC=CN&NR=115764899A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHENG LANFEN</creatorcontrib><creatorcontrib>WU MIAN</creatorcontrib><creatorcontrib>SU XIANGRUI</creatorcontrib><creatorcontrib>TANG CHONG</creatorcontrib><creatorcontrib>ZHU JISONG</creatorcontrib><creatorcontrib>XUAN PEIZHENG</creatorcontrib><title>Joint optimization scheduling method based on deep peak regulation and related device</title><description>The invention discloses a joint optimization scheduling method based on deep peak regulation and a related device, and the method comprises the steps: obtaining power grid related data and conventional energy unit related parameters, the power grid related data comprises a load prediction value, new energy prediction output and power grid topology data, and the conventional energy unit related parameters comprise a quotation parameter and a physical parameter; a joint optimization scheduling model is constructed by obtaining a target function based on deep peak regulation and configuring corresponding constraint conditions, wherein the constraint conditions comprise deep peak regulation output constraint, system constraint, conventional energy unit constraint, demand side response constraint and power flow constraint; and calculating and analyzing the related data of the power grid and the related parameters of the conventional energy unit by adopting the joint optimization scheduling model to obtain a schedu</description><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAj1ys_MK1HILyjJzM2sSizJzM9TKE7OSE0pzcnMS1fITS3JyE9RSEosTk1RAEqlpKYWKBSkJmYrFKWml-ZA1CfmpQC5QA5QTUpqWWZyKg8Da1piTnEqL5TmZlB0cw1x9tBNLciPTy0uSExOzUstiXf2MzQ0NTczsbC0dDQmRg0A_Io5aw</recordid><startdate>20230307</startdate><enddate>20230307</enddate><creator>CHENG LANFEN</creator><creator>WU MIAN</creator><creator>SU XIANGRUI</creator><creator>TANG CHONG</creator><creator>ZHU JISONG</creator><creator>XUAN PEIZHENG</creator><scope>EVB</scope></search><sort><creationdate>20230307</creationdate><title>Joint optimization scheduling method based on deep peak regulation and related device</title><author>CHENG LANFEN ; WU MIAN ; SU XIANGRUI ; TANG CHONG ; ZHU JISONG ; XUAN PEIZHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115764899A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</topic><topic>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</topic><topic>ELECTRICITY</topic><topic>GENERATION</topic><topic>SYSTEMS FOR STORING ELECTRIC ENERGY</topic><toplevel>online_resources</toplevel><creatorcontrib>CHENG LANFEN</creatorcontrib><creatorcontrib>WU MIAN</creatorcontrib><creatorcontrib>SU XIANGRUI</creatorcontrib><creatorcontrib>TANG CHONG</creatorcontrib><creatorcontrib>ZHU JISONG</creatorcontrib><creatorcontrib>XUAN PEIZHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHENG LANFEN</au><au>WU MIAN</au><au>SU XIANGRUI</au><au>TANG CHONG</au><au>ZHU JISONG</au><au>XUAN PEIZHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Joint optimization scheduling method based on deep peak regulation and related device</title><date>2023-03-07</date><risdate>2023</risdate><abstract>The invention discloses a joint optimization scheduling method based on deep peak regulation and a related device, and the method comprises the steps: obtaining power grid related data and conventional energy unit related parameters, the power grid related data comprises a load prediction value, new energy prediction output and power grid topology data, and the conventional energy unit related parameters comprise a quotation parameter and a physical parameter; a joint optimization scheduling model is constructed by obtaining a target function based on deep peak regulation and configuring corresponding constraint conditions, wherein the constraint conditions comprise deep peak regulation output constraint, system constraint, conventional energy unit constraint, demand side response constraint and power flow constraint; and calculating and analyzing the related data of the power grid and the related parameters of the conventional energy unit by adopting the joint optimization scheduling model to obtain a schedu</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN115764899A |
| source | esp@cenet |
| subjects | CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION SYSTEMS FOR STORING ELECTRIC ENERGY |
| title | Joint optimization scheduling method based on deep peak regulation and related device |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T20%3A09%3A40IST&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=CHENG%20LANFEN&rft.date=2023-03-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115764899A%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 |