{"id":"https://openalex.org/W2735219860","doi":"https://doi.org/10.23919/acc.2017.7963563","title":"A scheduled-asynchronous distributed optimization algorithm for the optimal power flow problem","display_name":"A scheduled-asynchronous distributed optimization algorithm for the optimal power flow problem","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735219860","doi":"https://doi.org/10.23919/acc.2017.7963563","mag":"2735219860"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963563","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070677065","display_name":"Chin-Yao Chang","orcid":"https://orcid.org/0000-0002-5972-0139"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chin-Yao Chang","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027913099","display_name":"Jorge Cort\u00e9s","orcid":"https://orcid.org/0000-0001-9582-5184"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Cortes","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024022921","display_name":"Sonia Mart\u0131\u0301nez","orcid":"https://orcid.org/0000-0001-6756-1484"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonia Martinez","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3968","last_page":"3973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9997000098228455,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9997000098228455,"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/T10223","display_name":"Microgrid Control and Optimization","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10603","display_name":"Smart Grid Energy Management","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6489064693450928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380678415298462},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6060611009597778},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5880519151687622},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5829691886901855},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5167147517204285},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5157718658447266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4973051846027374},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4611606299877167},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4592800438404083},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42601585388183594},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4187435805797577},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.35176241397857666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23503467440605164},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1304999589920044}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6489064693450928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380678415298462},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6060611009597778},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5880519151687622},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5829691886901855},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5167147517204285},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5157718658447266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4973051846027374},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4611606299877167},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4592800438404083},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42601585388183594},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4187435805797577},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.35176241397857666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23503467440605164},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1304999589920044},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963563","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1509675736","https://openalex.org/W1571403844","https://openalex.org/W1788292158","https://openalex.org/W1989102235","https://openalex.org/W2011120948","https://openalex.org/W2011393317","https://openalex.org/W2024527820","https://openalex.org/W2066180800","https://openalex.org/W2067291211","https://openalex.org/W2069315416","https://openalex.org/W2091260897","https://openalex.org/W2106067217","https://openalex.org/W2106126426","https://openalex.org/W2125390510","https://openalex.org/W2129122308","https://openalex.org/W2131433460","https://openalex.org/W2134172715","https://openalex.org/W2141380252","https://openalex.org/W2164278908","https://openalex.org/W2248207537","https://openalex.org/W2568422140","https://openalex.org/W2963651047","https://openalex.org/W2964169294","https://openalex.org/W3098235223","https://openalex.org/W3104243370","https://openalex.org/W6684379799","https://openalex.org/W6725936501"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2766289720","https://openalex.org/W1528719522","https://openalex.org/W2744955408","https://openalex.org/W2022378219","https://openalex.org/W2781354165","https://openalex.org/W4292295567","https://openalex.org/W2087595259","https://openalex.org/W2885085733"],"abstract_inverted_index":{"Optimal":[0],"power":[1],"flow":[2],"(OPF)":[3],"problems":[4,38],"are":[5],"non-convex":[6],"and":[7,24,83,142,169,176],"large-scale":[8],"optimization":[9],"problems.":[10],"Finding":[11],"an":[12,40,73],"optimal":[13],"solution":[14],"for":[15,76,151],"the":[16,80,87,90,117,123,135,147,152,159,165],"OPF":[17,37,153],"problem":[18],"in":[19,26,79,86],"real":[20],"time":[21],"is":[22,84,121,134,162],"challenging":[23],"important":[25],"various":[27],"applications.":[28],"Recent":[29],"studies":[30,156],"show":[31],"that":[32,89,158],"a":[33,63,127],"wide":[34],"class":[35],"of":[36,111,130,167],"have":[39,51,105],"exact":[41],"semidefinite":[42],"programming":[43],"(SDP)":[44],"convex":[45],"relaxation.":[46],"However,":[47],"only":[48,100],"few":[49],"works":[50],"considered":[52],"distributed":[53],"algorithms":[54],"to":[55,171],"solve":[56],"these.":[57],"In":[58,114],"this":[59,67],"paper,":[60],"we":[61],"propose":[62],"scheduled-asynchronous":[64],"algorithm":[65,71,125,149,161],"with":[66,164],"objective.":[68],"The":[69,139],"proposed":[70,124,148,160],"follows":[72],"ADMM-like":[74],"iteration":[75,136],"every":[77],"edge":[78],"electrical":[81,118],"network":[82,119,172],"asynchronous":[85,140],"sense":[88],"agents":[91],"do":[92,101],"not":[93],"simultaneously":[94],"update":[95],"their":[96,112],"local":[97],"variables,":[98],"but":[99],"so":[102],"when":[103],"they":[104],"received":[106],"fresh":[107],"information":[108],"from":[109],"all":[110],"neighbors.":[113],"addition,":[115],"if":[116],"topology":[120],"bipartite,":[122],"has":[126],"convergence":[128,144],"rate":[129,145],"O(1/n),":[131],"where":[132],"n":[133],"per":[137],"agent.":[138],"property":[141],"fast":[143],"make":[146],"suitable":[150],"problem.":[154],"Simulation":[155],"demonstrate":[157],"scalable":[163],"number":[166],"buses":[168],"robust":[170],"effects":[173],"including":[174],"delays":[175],"packet":[177],"drops.":[178]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
