Environmental economic power generation dispatching solving method based on cultural algorithm improved multi-target particle swarm

The invention discloses an environmental economic power generation scheduling solving method based on a culture algorithm improved multi-target particle swarm, and the method comprises the steps: firstly building two target functions which take at least fuel cost and pollution gas emission as two ta...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: GENG TAO, LU ZHIQIANG, XUE PENGCHENG, FENG XIAOLONG, LI ZHENGHAO, LIN CENG, YANG YAN, ZHANG YIHUAI, HU BINGYAO, WANG YEQIN
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 GENG TAO
LU ZHIQIANG
XUE PENGCHENG
FENG XIAOLONG
LI ZHENGHAO
LIN CENG
YANG YAN
ZHANG YIHUAI
HU BINGYAO
WANG YEQIN
description The invention discloses an environmental economic power generation scheduling solving method based on a culture algorithm improved multi-target particle swarm, and the method comprises the steps: firstly building two target functions which take at least fuel cost and pollution gas emission as two target functions, taking a power balance constraint as an equality constraint condition, and taking a unit power generation capacity constraint as an inequality constraint condition; establishing a scheduling model according to selection of an objective function and constraints; in the algorithm iteration open initial stage, a dynamic mutation operator is introduced to enhance the accuracy of the algorithm, then a multi-target particle swarm optimization algorithm is improved by using a culture algorithm, the improved multi-target particle swarm optimization algorithm is applied to environmental economic dispatching of a power system, and meanwhile, an individual optimal solution is solved according to a Pareto domin
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115456428A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115456428A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115456428A3</originalsourceid><addsrcrecordid>eNqNjjEOwjAMRbswIOAO5gAMQItYUQViYmJHJjWtpSSOHFMOwMUJEgdg-sN7-v9Pq_cxjqwSA0VDD-QkSmAHSV6k0FMkRWOJ0HFOaG7g2EMWP34zkA3SwR0zdVAc9_T21FKDvhdlGwJwSCpjwaEwXhlqTwYJ1dh5gvxCDfNq8kCfafHLWbU8Ha_teUVJblRmXblht_ayXjd1s6s3-8P2H-cDQbJMHQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Environmental economic power generation dispatching solving method based on cultural algorithm improved multi-target particle swarm</title><source>esp@cenet</source><creator>GENG TAO ; LU ZHIQIANG ; XUE PENGCHENG ; FENG XIAOLONG ; LI ZHENGHAO ; LIN CENG ; YANG YAN ; ZHANG YIHUAI ; HU BINGYAO ; WANG YEQIN</creator><creatorcontrib>GENG TAO ; LU ZHIQIANG ; XUE PENGCHENG ; FENG XIAOLONG ; LI ZHENGHAO ; LIN CENG ; YANG YAN ; ZHANG YIHUAI ; HU BINGYAO ; WANG YEQIN</creatorcontrib><description>The invention discloses an environmental economic power generation scheduling solving method based on a culture algorithm improved multi-target particle swarm, and the method comprises the steps: firstly building two target functions which take at least fuel cost and pollution gas emission as two target functions, taking a power balance constraint as an equality constraint condition, and taking a unit power generation capacity constraint as an inequality constraint condition; establishing a scheduling model according to selection of an objective function and constraints; in the algorithm iteration open initial stage, a dynamic mutation operator is introduced to enhance the accuracy of the algorithm, then a multi-target particle swarm optimization algorithm is improved by using a culture algorithm, the improved multi-target particle swarm optimization algorithm is applied to environmental economic dispatching of a power system, and meanwhile, an individual optimal solution is solved according to a Pareto domin</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 ; 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>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&amp;date=20221209&amp;DB=EPODOC&amp;CC=CN&amp;NR=115456428A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20221209&amp;DB=EPODOC&amp;CC=CN&amp;NR=115456428A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GENG TAO</creatorcontrib><creatorcontrib>LU ZHIQIANG</creatorcontrib><creatorcontrib>XUE PENGCHENG</creatorcontrib><creatorcontrib>FENG XIAOLONG</creatorcontrib><creatorcontrib>LI ZHENGHAO</creatorcontrib><creatorcontrib>LIN CENG</creatorcontrib><creatorcontrib>YANG YAN</creatorcontrib><creatorcontrib>ZHANG YIHUAI</creatorcontrib><creatorcontrib>HU BINGYAO</creatorcontrib><creatorcontrib>WANG YEQIN</creatorcontrib><title>Environmental economic power generation dispatching solving method based on cultural algorithm improved multi-target particle swarm</title><description>The invention discloses an environmental economic power generation scheduling solving method based on a culture algorithm improved multi-target particle swarm, and the method comprises the steps: firstly building two target functions which take at least fuel cost and pollution gas emission as two target functions, taking a power balance constraint as an equality constraint condition, and taking a unit power generation capacity constraint as an inequality constraint condition; establishing a scheduling model according to selection of an objective function and constraints; in the algorithm iteration open initial stage, a dynamic mutation operator is introduced to enhance the accuracy of the algorithm, then a multi-target particle swarm optimization algorithm is improved by using a culture algorithm, the improved multi-target particle swarm optimization algorithm is applied to environmental economic dispatching of a power system, and meanwhile, an individual optimal solution is solved according to a Pareto domin</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>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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjjEOwjAMRbswIOAO5gAMQItYUQViYmJHJjWtpSSOHFMOwMUJEgdg-sN7-v9Pq_cxjqwSA0VDD-QkSmAHSV6k0FMkRWOJ0HFOaG7g2EMWP34zkA3SwR0zdVAc9_T21FKDvhdlGwJwSCpjwaEwXhlqTwYJ1dh5gvxCDfNq8kCfafHLWbU8Ha_teUVJblRmXblht_ayXjd1s6s3-8P2H-cDQbJMHQ</recordid><startdate>20221209</startdate><enddate>20221209</enddate><creator>GENG TAO</creator><creator>LU ZHIQIANG</creator><creator>XUE PENGCHENG</creator><creator>FENG XIAOLONG</creator><creator>LI ZHENGHAO</creator><creator>LIN CENG</creator><creator>YANG YAN</creator><creator>ZHANG YIHUAI</creator><creator>HU BINGYAO</creator><creator>WANG YEQIN</creator><scope>EVB</scope></search><sort><creationdate>20221209</creationdate><title>Environmental economic power generation dispatching solving method based on cultural algorithm improved multi-target particle swarm</title><author>GENG TAO ; LU ZHIQIANG ; XUE PENGCHENG ; FENG XIAOLONG ; LI ZHENGHAO ; LIN CENG ; YANG YAN ; ZHANG YIHUAI ; HU BINGYAO ; WANG YEQIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115456428A3</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>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>GENG TAO</creatorcontrib><creatorcontrib>LU ZHIQIANG</creatorcontrib><creatorcontrib>XUE PENGCHENG</creatorcontrib><creatorcontrib>FENG XIAOLONG</creatorcontrib><creatorcontrib>LI ZHENGHAO</creatorcontrib><creatorcontrib>LIN CENG</creatorcontrib><creatorcontrib>YANG YAN</creatorcontrib><creatorcontrib>ZHANG YIHUAI</creatorcontrib><creatorcontrib>HU BINGYAO</creatorcontrib><creatorcontrib>WANG YEQIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GENG TAO</au><au>LU ZHIQIANG</au><au>XUE PENGCHENG</au><au>FENG XIAOLONG</au><au>LI ZHENGHAO</au><au>LIN CENG</au><au>YANG YAN</au><au>ZHANG YIHUAI</au><au>HU BINGYAO</au><au>WANG YEQIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Environmental economic power generation dispatching solving method based on cultural algorithm improved multi-target particle swarm</title><date>2022-12-09</date><risdate>2022</risdate><abstract>The invention discloses an environmental economic power generation scheduling solving method based on a culture algorithm improved multi-target particle swarm, and the method comprises the steps: firstly building two target functions which take at least fuel cost and pollution gas emission as two target functions, taking a power balance constraint as an equality constraint condition, and taking a unit power generation capacity constraint as an inequality constraint condition; establishing a scheduling model according to selection of an objective function and constraints; in the algorithm iteration open initial stage, a dynamic mutation operator is introduced to enhance the accuracy of the algorithm, then a multi-target particle swarm optimization algorithm is improved by using a culture algorithm, the improved multi-target particle swarm optimization algorithm is applied to environmental economic dispatching of a power system, and meanwhile, an individual optimal solution is solved according to a Pareto domin</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN115456428A
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
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 Environmental economic power generation dispatching solving method based on cultural algorithm improved multi-target particle swarm
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T13%3A39%3A39IST&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=GENG%20TAO&rft.date=2022-12-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115456428A%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