Intelligent power distribution network energy management optimization method based on dynamic particle swarm optimization
The invention provides an intelligent power distribution network energy management optimization method based on a dynamic particle swarm algorithm, and the method comprises the steps: building an intelligent power distribution network small mathematical model which comprises a distributed power supp...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| 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 | JIANG ZECHANG |
| description | The invention provides an intelligent power distribution network energy management optimization method based on a dynamic particle swarm algorithm, and the method comprises the steps: building an intelligent power distribution network small mathematical model which comprises a distributed power supply, an energy storage system and an electric vehicle, and obtaining the related constraints of an adjustable load, the electric vehicle and energy storage; determining a demand response mechanism and an energy management strategy, and obtaining a user power constraint and a real-time power utilization adjustment strategy; establishing a multi-time-scale intra-day electricity utilization cost and power grid power fluctuation minimum model; and performing energy optimization by using a dynamic particle swarm algorithm by taking the minimum power consumption cost and the minimum power fluctuation as targets. According to the method, new energy, stored energy and energy exchange of the electric vehicle are considered, |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115169748A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115169748A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115169748A3</originalsourceid><addsrcrecordid>eNqNzb0KwkAQBOA0FqK-w_oAFsH_UoKijZV92OTWuHi3d9ythPj0RrGxsxoGvmGGWXcSJWu5IVEIvqUIhpNGrh7KXkBIWx_vQEKx6cChYEPujX1QdvzED3OkN2-gwkQG-m46Qcc1BIzKtSVILUb3sxlngyvaRJNvjrLpYX8pjjMKvqQUsO4_tSzOeb7MV9v1YrOb_2NeK25Inw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Intelligent power distribution network energy management optimization method based on dynamic particle swarm optimization</title><source>esp@cenet</source><creator>JIANG ZECHANG</creator><creatorcontrib>JIANG ZECHANG</creatorcontrib><description>The invention provides an intelligent power distribution network energy management optimization method based on a dynamic particle swarm algorithm, and the method comprises the steps: building an intelligent power distribution network small mathematical model which comprises a distributed power supply, an energy storage system and an electric vehicle, and obtaining the related constraints of an adjustable load, the electric vehicle and energy storage; determining a demand response mechanism and an energy management strategy, and obtaining a user power constraint and a real-time power utilization adjustment strategy; establishing a multi-time-scale intra-day electricity utilization cost and power grid power fluctuation minimum model; and performing energy optimization by using a dynamic particle swarm algorithm by taking the minimum power consumption cost and the minimum power fluctuation as targets. According to the method, new energy, stored energy and energy exchange of the electric vehicle are considered,</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 EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ; ELECTRICITY ; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL ; GENERATION ; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES ; PERFORMING OPERATIONS ; PHYSICS ; SYSTEMS FOR STORING ELECTRIC ENERGY ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TRANSPORTING ; VEHICLES IN GENERAL</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=20221011&DB=EPODOC&CC=CN&NR=115169748A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221011&DB=EPODOC&CC=CN&NR=115169748A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIANG ZECHANG</creatorcontrib><title>Intelligent power distribution network energy management optimization method based on dynamic particle swarm optimization</title><description>The invention provides an intelligent power distribution network energy management optimization method based on a dynamic particle swarm algorithm, and the method comprises the steps: building an intelligent power distribution network small mathematical model which comprises a distributed power supply, an energy storage system and an electric vehicle, and obtaining the related constraints of an adjustable load, the electric vehicle and energy storage; determining a demand response mechanism and an energy management strategy, and obtaining a user power constraint and a real-time power utilization adjustment strategy; establishing a multi-time-scale intra-day electricity utilization cost and power grid power fluctuation minimum model; and performing energy optimization by using a dynamic particle swarm algorithm by taking the minimum power consumption cost and the minimum power fluctuation as targets. According to the method, new energy, stored energy and energy exchange of the electric vehicle are considered,</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 EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES</subject><subject>ELECTRICITY</subject><subject>ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL</subject><subject>GENERATION</subject><subject>MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES</subject><subject>PERFORMING OPERATIONS</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><subject>TRANSPORTING</subject><subject>VEHICLES IN GENERAL</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzb0KwkAQBOA0FqK-w_oAFsH_UoKijZV92OTWuHi3d9ythPj0RrGxsxoGvmGGWXcSJWu5IVEIvqUIhpNGrh7KXkBIWx_vQEKx6cChYEPujX1QdvzED3OkN2-gwkQG-m46Qcc1BIzKtSVILUb3sxlngyvaRJNvjrLpYX8pjjMKvqQUsO4_tSzOeb7MV9v1YrOb_2NeK25Inw</recordid><startdate>20221011</startdate><enddate>20221011</enddate><creator>JIANG ZECHANG</creator><scope>EVB</scope></search><sort><creationdate>20221011</creationdate><title>Intelligent power distribution network energy management optimization method based on dynamic particle swarm optimization</title><author>JIANG ZECHANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115169748A3</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 EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES</topic><topic>ELECTRICITY</topic><topic>ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL</topic><topic>GENERATION</topic><topic>MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES</topic><topic>PERFORMING OPERATIONS</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><topic>TRANSPORTING</topic><topic>VEHICLES IN GENERAL</topic><toplevel>online_resources</toplevel><creatorcontrib>JIANG ZECHANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIANG ZECHANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Intelligent power distribution network energy management optimization method based on dynamic particle swarm optimization</title><date>2022-10-11</date><risdate>2022</risdate><abstract>The invention provides an intelligent power distribution network energy management optimization method based on a dynamic particle swarm algorithm, and the method comprises the steps: building an intelligent power distribution network small mathematical model which comprises a distributed power supply, an energy storage system and an electric vehicle, and obtaining the related constraints of an adjustable load, the electric vehicle and energy storage; determining a demand response mechanism and an energy management strategy, and obtaining a user power constraint and a real-time power utilization adjustment strategy; establishing a multi-time-scale intra-day electricity utilization cost and power grid power fluctuation minimum model; and performing energy optimization by using a dynamic particle swarm algorithm by taking the minimum power consumption cost and the minimum power fluctuation as targets. According to the method, new energy, stored energy and energy exchange of the electric vehicle are considered,</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN115169748A |
| 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 EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ELECTRICITY ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL GENERATION MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES PERFORMING OPERATIONS PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRANSPORTING VEHICLES IN GENERAL |
| title | Intelligent power distribution network energy management optimization method based on dynamic particle swarm optimization |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T04%3A58%3A43IST&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=JIANG%20ZECHANG&rft.date=2022-10-11&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115169748A%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 |