{"id":"https://openalex.org/W2047932834","doi":"https://doi.org/10.1080/00207720903576472","title":"Environmentally constrained economic dispatch using Pareto archive particle swarm optimisation","display_name":"Environmentally constrained economic dispatch using Pareto archive particle swarm optimisation","publication_year":2010,"publication_date":"2010-04-29","ids":{"openalex":"https://openalex.org/W2047932834","doi":"https://doi.org/10.1080/00207720903576472","mag":"2047932834"},"language":"en","primary_location":{"id":"doi:10.1080/00207720903576472","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720903576472","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085256592","display_name":"Yee Ming Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yee Ming Chen","raw_affiliation_strings":["\n Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Tao-Yuan, Taiwan, ROC","Department of Industrial Engineering and Management, Yuan Ze University, Tao-Yuan, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"\n Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Tao-Yuan, Taiwan, ROC","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, Yuan Ze University, Tao-Yuan, Taiwan, ROC","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067887619","display_name":"Wen-Shiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I154019184","display_name":"Hsin Sheng College of Medical Care and Management","ror":"https://ror.org/00e477a69","country_code":"TW","type":"education","lineage":["https://openalex.org/I154019184"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Shiang Wang","raw_affiliation_strings":["\n Department of Marketing and Logistics Management, Hsin Sheng College of Medical Care and Management, 418 Gaoping sec., Zhongfeng Road, Longtan County, Taiwan, ROC","Department of Marketing and Logistics Management, Hsin Sheng College of Medical Care and Management, Longtan County, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"\n Department of Marketing and Logistics Management, Hsin Sheng College of Medical Care and Management, 418 Gaoping sec., Zhongfeng Road, Longtan County, Taiwan, ROC","institution_ids":["https://openalex.org/I154019184"]},{"raw_affiliation_string":"Department of Marketing and Logistics Management, Hsin Sheng College of Medical Care and Management, Longtan County, Taiwan, ROC","institution_ids":["https://openalex.org/I154019184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085256592"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":3.4637,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92720101,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"41","issue":"5","first_page":"593","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/economic-dispatch","display_name":"Economic dispatch","score":0.8994206190109253},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7989825010299683},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6528135538101196},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6283819675445557},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4668814539909363},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4582570791244507},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.44061192870140076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42763644456863403},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4152517318725586},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.383450984954834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.34211722016334534},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2776907980442047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13712584972381592}],"concepts":[{"id":"https://openalex.org/C187633118","wikidata":"https://www.wikidata.org/wiki/Q1317949","display_name":"Economic dispatch","level":4,"score":0.8994206190109253},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7989825010299683},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6528135538101196},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6283819675445557},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4668814539909363},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4582570791244507},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.44061192870140076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42763644456863403},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4152517318725586},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.383450984954834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34211722016334534},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2776907980442047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13712584972381592},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207720903576472","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720903576472","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W103650626","https://openalex.org/W1532399581","https://openalex.org/W1553373771","https://openalex.org/W1585939719","https://openalex.org/W1587294773","https://openalex.org/W1595498733","https://openalex.org/W1607104331","https://openalex.org/W1967556201","https://openalex.org/W1990189934","https://openalex.org/W2031415084","https://openalex.org/W2033630480","https://openalex.org/W2035890325","https://openalex.org/W2046322637","https://openalex.org/W2053900989","https://openalex.org/W2054966761","https://openalex.org/W2071036477","https://openalex.org/W2071133077","https://openalex.org/W2078369687","https://openalex.org/W2083333038","https://openalex.org/W2088382149","https://openalex.org/W2097722970","https://openalex.org/W2102303313","https://openalex.org/W2116661285","https://openalex.org/W2123541507","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2134794178","https://openalex.org/W2135864487","https://openalex.org/W2139386984","https://openalex.org/W2140066605","https://openalex.org/W2149780923","https://openalex.org/W2163424852","https://openalex.org/W2165171393","https://openalex.org/W2764796714","https://openalex.org/W2797295276","https://openalex.org/W2912127016","https://openalex.org/W4233439708","https://openalex.org/W4255435233","https://openalex.org/W4292408320","https://openalex.org/W4302367531"],"related_works":["https://openalex.org/W2073298047","https://openalex.org/W1963790170","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2033790662","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2073147994","https://openalex.org/W317165722"],"abstract_inverted_index":{"Abstract":[0],"The":[1,34],"objective":[2],"proposed":[3,55,77,116,168],"is":[4,54,71,86,97,120],"of":[5,20,31,45,92,143,166,182],"environmental/economic":[6,36],"dispatch":[7,37,44,99],"(EED)":[8],"taking":[9],"into":[10],"account":[11],"the":[12,18,28,41,58,62,68,100,108,115,129,146,164,167,174,210],"environmental":[13,59],"impact":[14],"to":[15,56,88,98,122,162],"achieve":[16],"simultaneously":[17,106],"minimisation":[19],"fuel":[21],"costs":[22,110],"and":[23,74,111,184],"pollutant":[24,112],"emissions,":[25],"while":[26],"satisfying":[27],"operational":[29,109],"constraints":[30,144],"power":[32,43,101,156],"systems.":[33],"multiarea":[35],"(MEED)":[38],"deals":[39],"with":[40],"optimal":[42],"multiple":[46],"areas":[47,104,137],"(or":[48],"countries).":[49],"In":[50,65,114],"this":[51,66],"investigation,":[52],"EED/MEED":[53,69],"address":[57],"issue":[60],"during":[61],"economic":[63,196],"dispatch.":[64],"article,":[67],"problem":[70,178],"first":[72],"formulated":[73],"then":[75],"a":[76,90,141,153],"Pareto":[78],"archive":[79],"multiobjective":[80,188],"particle":[81],"swarm":[82,198],"optimisation":[83,147,169,202],"(PAMPSO)":[84],"algorithm":[85],"developed":[87],"derive":[89],"set":[91,142],"Pareto-optimal":[93],"solutions.":[94],"Its":[95],"aim":[96],"among":[102],"different":[103,136,177],"by":[105,209],"minimising":[107],"emissions.":[113],"PAMPSO,":[117],"local":[118],"search":[119,125],"used":[121],"increase":[123],"its":[124],"efficiency.":[126],"To":[127],"ensure":[128],"system":[130,158],"security,":[131],"tie-line":[132],"transfer":[133],"limits":[134],"between":[135],"are":[138,159,192],"incorporated":[139],"as":[140,171,173],"in":[145],"process.":[148],"Numerical":[149],"studies":[150],"based":[151],"on":[152],"four-area":[154],"test":[155],"generation":[157],"carried":[160],"out":[161],"demonstrate":[163],"validity":[165],"method":[170],"well":[172],"results":[175,181],"from":[176],"formulations.":[179],"Comparative":[180],"PAMPSO":[183],"three":[185],"other":[186],"competitive":[187],"evolutionary":[189],"algorithms":[190],"(MOEAs)":[191],"also":[193],"presented.":[194],"Keywords:":[195],"dispatchparticle":[197],"optimisationemission":[199],"controlledunit":[200],"commitmentmultiobjective":[201],"Acknowledgement":[203],"This":[204],"research":[205],"work":[206],"was":[207],"sponsored":[208],"National":[211],"Science":[212],"Council,":[213],"ROC,":[214],"under":[215],"project":[216],"number":[217],"NSC98-2221-E-155-023.":[218]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
