Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales
The invention discloses an optimal scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipme...
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creator | LU FANG LI YONGGANG YANG XIAOTING WANG JIAWU YIN SHUANGRUI LIU XIANGBO XU YANBO AI QIAN HAN LEI JIN JING |
description | The invention discloses an optimal scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipment, a heat and power co-generation micro-combustion engine, an electric boiler, a gas boiler, an accumulator, a heat storage tank and a gas storage tank. The multi-time scale considers two time scales, one hour before the day and 15 minutes within the day. The process of establishing the optimal scheduling model of the micro-energy grid comprises the following steps: 1, determining the component parameters and the network parameters of the micro-energy network; 2, establishing an hour-level optimized dispatch model before that day of the micro-energy grid; 3, establishing a micro-energy grid intra-day 15-minute level optimal scheduling model. The invention effectively deals with the power fluctuation of the renewab |
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Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipment, a heat and power co-generation micro-combustion engine, an electric boiler, a gas boiler, an accumulator, a heat storage tank and a gas storage tank. The multi-time scale considers two time scales, one hour before the day and 15 minutes within the day. The process of establishing the optimal scheduling model of the micro-energy grid comprises the following steps: 1, determining the component parameters and the network parameters of the micro-energy network; 2, establishing an hour-level optimized dispatch model before that day of the micro-energy grid; 3, establishing a micro-energy grid intra-day 15-minute level optimal scheduling model. The invention effectively deals with the power fluctuation of the renewab</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>2018</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=20181225&DB=EPODOC&CC=CN&NR=109088442A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181225&DB=EPODOC&CC=CN&NR=109088442A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LU FANG</creatorcontrib><creatorcontrib>LI YONGGANG</creatorcontrib><creatorcontrib>YANG XIAOTING</creatorcontrib><creatorcontrib>WANG JIAWU</creatorcontrib><creatorcontrib>YIN SHUANGRUI</creatorcontrib><creatorcontrib>LIU XIANGBO</creatorcontrib><creatorcontrib>XU YANBO</creatorcontrib><creatorcontrib>AI QIAN</creatorcontrib><creatorcontrib>HAN LEI</creatorcontrib><creatorcontrib>JIN JING</creatorcontrib><title>Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales</title><description>The invention discloses an optimal scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. 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The invention effectively deals with the power fluctuation of the renewab</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>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzL0KwjAUBeAsDqK-w_UBClU71FGK4qSLewjJbXrhJin5QXx7M9Td6cA5h28t5HPO5BRD0hOawuQtuGCQIYzgSMfQoMdoP2AjGXhTnsAVzvSrUw5RWYTiDcZlqiJWUDGmrViNihPultyI_e36Gu4NzkFimpWuTpbD49Ce277vuuPl9M_nC6IGPTo</recordid><startdate>20181225</startdate><enddate>20181225</enddate><creator>LU FANG</creator><creator>LI YONGGANG</creator><creator>YANG XIAOTING</creator><creator>WANG JIAWU</creator><creator>YIN SHUANGRUI</creator><creator>LIU XIANGBO</creator><creator>XU YANBO</creator><creator>AI QIAN</creator><creator>HAN LEI</creator><creator>JIN JING</creator><scope>EVB</scope></search><sort><creationdate>20181225</creationdate><title>Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales</title><author>LU FANG ; LI YONGGANG ; YANG XIAOTING ; WANG JIAWU ; YIN SHUANGRUI ; LIU XIANGBO ; XU YANBO ; AI QIAN ; HAN LEI ; JIN JING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN109088442A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2018</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>LU FANG</creatorcontrib><creatorcontrib>LI YONGGANG</creatorcontrib><creatorcontrib>YANG XIAOTING</creatorcontrib><creatorcontrib>WANG JIAWU</creatorcontrib><creatorcontrib>YIN SHUANGRUI</creatorcontrib><creatorcontrib>LIU XIANGBO</creatorcontrib><creatorcontrib>XU YANBO</creatorcontrib><creatorcontrib>AI QIAN</creatorcontrib><creatorcontrib>HAN LEI</creatorcontrib><creatorcontrib>JIN JING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LU FANG</au><au>LI YONGGANG</au><au>YANG XIAOTING</au><au>WANG JIAWU</au><au>YIN SHUANGRUI</au><au>LIU XIANGBO</au><au>XU YANBO</au><au>AI QIAN</au><au>HAN LEI</au><au>JIN JING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales</title><date>2018-12-25</date><risdate>2018</risdate><abstract>The invention discloses an optimal scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipment, a heat and power co-generation micro-combustion engine, an electric boiler, a gas boiler, an accumulator, a heat storage tank and a gas storage tank. The multi-time scale considers two time scales, one hour before the day and 15 minutes within the day. The process of establishing the optimal scheduling model of the micro-energy grid comprises the following steps: 1, determining the component parameters and the network parameters of the micro-energy network; 2, establishing an hour-level optimized dispatch model before that day of the micro-energy grid; 3, establishing a micro-energy grid intra-day 15-minute level optimal scheduling model. The invention effectively deals with the power fluctuation of the renewab</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION SYSTEMS FOR STORING ELECTRIC ENERGY |
title | Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales |
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