{"id":"https://openalex.org/W4412610435","doi":"https://doi.org/10.1109/ipdps64566.2025.00068","title":"A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems","display_name":"A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4412610435","doi":"https://doi.org/10.1109/ipdps64566.2025.00068"},"language":"en","primary_location":{"id":"doi:10.1109/ipdps64566.2025.00068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps64566.2025.00068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","raw_type":"proceedings-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/A5084098918","display_name":"Minseok Ryu","orcid":"https://orcid.org/0000-0002-1954-7722"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minseok Ryu","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University,Tempe,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091632665","display_name":"Geunyeong Byeon","orcid":"https://orcid.org/0000-0003-3324-1831"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geunyeong Byeon","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University,Tempe,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032602013","display_name":"Kibaek Kim","orcid":"https://orcid.org/0000-0002-5820-6533"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kibaek Kim","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory,Lemont,IL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory,Lemont,IL,USA","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14109823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"702","last_page":"711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9890999794006348,"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":0.9890999794006348,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9890000224113464,"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7573245763778687},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.5562630295753479},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5491738319396973},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4385475516319275},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4183283746242523},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.41413092613220215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37090563774108887},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.23372238874435425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11186358332633972}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573245763778687},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.5562630295753479},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5491738319396973},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4385475516319275},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4183283746242523},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.41413092613220215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37090563774108887},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.23372238874435425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11186358332633972},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdps64566.2025.00068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps64566.2025.00068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1964419379","https://openalex.org/W1967548691","https://openalex.org/W1986080131","https://openalex.org/W1998764943","https://openalex.org/W2007365660","https://openalex.org/W2011393317","https://openalex.org/W2079876304","https://openalex.org/W2149185571","https://openalex.org/W2155173277","https://openalex.org/W2165680375","https://openalex.org/W2313629133","https://openalex.org/W2760074617","https://openalex.org/W2762654164","https://openalex.org/W2769646558","https://openalex.org/W2774096293","https://openalex.org/W2943584218","https://openalex.org/W2992727511","https://openalex.org/W3004783336","https://openalex.org/W3146008540","https://openalex.org/W3182781792","https://openalex.org/W3207723357","https://openalex.org/W4206464364","https://openalex.org/W4286484206","https://openalex.org/W4286696713","https://openalex.org/W4320492792","https://openalex.org/W4323966265","https://openalex.org/W4376104137","https://openalex.org/W4379382673","https://openalex.org/W4400312475","https://openalex.org/W4400999310","https://openalex.org/W6737068246","https://openalex.org/W6797487340","https://openalex.org/W6810845707","https://openalex.org/W6849993381","https://openalex.org/W6860405589"],"related_works":["https://openalex.org/W2115140794","https://openalex.org/W2041120224","https://openalex.org/W1504320321","https://openalex.org/W2067902980","https://openalex.org/W2548529098","https://openalex.org/W4312275919","https://openalex.org/W2338293335","https://openalex.org/W2039378765","https://openalex.org/W2614685449","https://openalex.org/W283879968"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,32,42,57,68],"GPU-accelerated":[3],"distributed":[4],"optimization":[5],"algorithm":[6],"for":[7,53],"controlling":[8],"multi-phase":[9],"optimal":[10],"power":[11],"flow":[12],"in":[13],"active":[14],"distribution":[15],"systems":[16,99],"with":[17],"dynamically":[18],"changing":[19],"topologies.":[20],"To":[21,63],"handle":[22],"varying":[23],"network":[24],"configurations":[25],"and":[26],"enable":[27],"adaptable":[28],"decomposition,":[29],"we":[30,66],"advocate":[31],"componentwise":[33],"decomposition":[34],"strategy.":[35],"However,":[36],"this":[37],"approach":[38,113],"can":[39],"lead":[40],"to":[41,48,80,103,115],"prolonged":[43],"computation":[44],"time":[45,83],"mainly":[46],"due":[47],"the":[49,91,107,111],"excessive":[50],"iterations":[51],"required":[52],"achieving":[54],"consensus":[55],"among":[56],"large":[58],"number":[59],"of":[60,86,110],"fine-grained":[61],"components.":[62],"overcome":[64],"this,":[65],"introduce":[67],"technique":[69],"that":[70],"segregates":[71],"equality":[72],"constraints":[73],"from":[74,101],"inequality":[75],"constraints,":[76],"enabling":[77],"GPU":[78],"parallelism":[79],"reduce":[81],"per-iteration":[82],"by":[84],"orders":[85],"magnitude,":[87],"thereby":[88],"significantly":[89],"accelerating":[90],"overall":[92],"computation.":[93],"Numerical":[94],"experiments":[95],"on":[96],"IEEE":[97],"test":[98],"ranging":[100],"13":[102],"8500":[104],"buses":[105],"demonstrate":[106],"superior":[108],"scalability":[109],"proposed":[112],"compared":[114],"its":[116],"CPU-based":[117],"counterparts.":[118]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
