Automatic power generation control scheduling method based on hybrid algorithm
The invention provides an automatic power generation control scheduling method based on a hybrid algorithm, and the method comprises the steps: designing a target function of an automatic power generation control scheduling model, achieving the minimization of total power deviation and the minimizat...
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| creator | MENG XIAN YANG BO MA HONGSHENG HE PENG HE TINGYI SHU HONGCHUN HE XIN |
| description | The invention provides an automatic power generation control scheduling method based on a hybrid algorithm, and the method comprises the steps: designing a target function of an automatic power generation control scheduling model, achieving the minimization of total power deviation and the minimization of adjustment mileage payment, and building a dual-target scheduling model in which energy storage resources participate; setting constraint conditions of the scheduling model, and inputting real-time load disturbance conditions and initialization algorithm parameters; adopting a multi-target genetic algorithm and a multi-target particle swarm hybrid algorithm to execute non-dominated sorting, calculating the degree of congestion corresponding to individuals, selecting a solution set, and updating a Pareto solution set to perform a next iteration process; and repeatedly executing the steps until the algorithm converges, and determining the optimal compromise solution of the obtained Pareto frontier by using a m |
| format | Patent |
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setting constraint conditions of the scheduling model, and inputting real-time load disturbance conditions and initialization algorithm parameters; adopting a multi-target genetic algorithm and a multi-target particle swarm hybrid algorithm to execute non-dominated sorting, calculating the degree of congestion corresponding to individuals, selecting a solution set, and updating a Pareto solution set to perform a next iteration process; and repeatedly executing the steps until the algorithm converges, and determining the optimal compromise solution of the obtained Pareto frontier by using a m</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>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=20220128&DB=EPODOC&CC=CN&NR=113991751A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220128&DB=EPODOC&CC=CN&NR=113991751A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MENG XIAN</creatorcontrib><creatorcontrib>YANG BO</creatorcontrib><creatorcontrib>MA HONGSHENG</creatorcontrib><creatorcontrib>HE PENG</creatorcontrib><creatorcontrib>HE TINGYI</creatorcontrib><creatorcontrib>SHU HONGCHUN</creatorcontrib><creatorcontrib>HE XIN</creatorcontrib><title>Automatic power generation control scheduling method based on hybrid algorithm</title><description>The invention provides an automatic power generation control scheduling method based on a hybrid algorithm, and the method comprises the steps: designing a target function of an automatic power generation control scheduling model, achieving the minimization of total power deviation and the minimization of adjustment mileage payment, and building a dual-target scheduling model in which energy storage resources participate; setting constraint conditions of the scheduling model, and inputting real-time load disturbance conditions and initialization algorithm parameters; adopting a multi-target genetic algorithm and a multi-target particle swarm hybrid algorithm to execute non-dominated sorting, calculating the degree of congestion corresponding to individuals, selecting a solution set, and updating a Pareto solution set to perform a next iteration process; and repeatedly executing the steps until the algorithm converges, and determining the optimal compromise solution of the obtained Pareto frontier by using a m</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEKwjAUQLM4iHqH7wEcQhHpWErFqZN7SZNvEkjyQ_KLeHszeACnx4PH24t52JiiYq8h0xsLWExYmlMCTYkLBajaodmCTxYisiMDq6pooCXusxZvQAVLxbOLR7F7qVDx9ONBnO_Tc3xcMNOCNSvd9ryMs5Rd38vbVQ7dP80Xav43LA</recordid><startdate>20220128</startdate><enddate>20220128</enddate><creator>MENG XIAN</creator><creator>YANG BO</creator><creator>MA HONGSHENG</creator><creator>HE PENG</creator><creator>HE TINGYI</creator><creator>SHU HONGCHUN</creator><creator>HE XIN</creator><scope>EVB</scope></search><sort><creationdate>20220128</creationdate><title>Automatic power generation control scheduling method based on hybrid algorithm</title><author>MENG XIAN ; 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setting constraint conditions of the scheduling model, and inputting real-time load disturbance conditions and initialization algorithm parameters; adopting a multi-target genetic algorithm and a multi-target particle swarm hybrid algorithm to execute non-dominated sorting, calculating the degree of congestion corresponding to individuals, selecting a solution set, and updating a Pareto solution set to perform a next iteration process; and repeatedly executing the steps until the algorithm converges, and determining the optimal compromise solution of the obtained Pareto frontier by using a m</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 | Automatic power generation control scheduling method based on hybrid algorithm |
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