{"id":"https://openalex.org/W2920885581","doi":"https://doi.org/10.1109/ccwc.2019.8666551","title":"Parallel Implementation of AC Optimal Power Flow and Time Constrained Optimal Power Flow using High Performance Computing","display_name":"Parallel Implementation of AC Optimal Power Flow and Time Constrained Optimal Power Flow using High Performance Computing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2920885581","doi":"https://doi.org/10.1109/ccwc.2019.8666551","mag":"2920885581"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc.2019.8666551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2019.8666551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5109290972","display_name":"Alex Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I1745920","display_name":"University of Wisconsin\u2013Platteville","ror":"https://ror.org/02xpkhc07","country_code":"US","type":"education","lineage":["https://openalex.org/I1745920"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alex Werner","raw_affiliation_strings":["Dept of Mathematics, University of Wisconsin-Platteville, Platteville, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Mathematics, University of Wisconsin-Platteville, Platteville, USA","institution_ids":["https://openalex.org/I1745920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048479545","display_name":"Kapil Duwadi","orcid":"https://orcid.org/0000-0002-0589-5187"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kapil Duwadi","raw_affiliation_strings":["Dept Electrical Engineering and Computer Science, South Dakota State University, Brookings, USA"],"affiliations":[{"raw_affiliation_string":"Dept Electrical Engineering and Computer Science, South Dakota State University, Brookings, USA","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033473839","display_name":"Nicholas Stegmeier","orcid":"https://orcid.org/0000-0002-8254-5295"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Stegmeier","raw_affiliation_strings":["Dept of Mathematics, South Dakota State University, Brookings, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Mathematics, South Dakota State University, Brookings, USA","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077510367","display_name":"Timothy M. Hansen","orcid":"https://orcid.org/0000-0001-8096-1255"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy M. Hansen","raw_affiliation_strings":["Dept Electrical Engineering and Computer Science, South Dakota State University, Brookings, USA"],"affiliations":[{"raw_affiliation_string":"Dept Electrical Engineering and Computer Science, South Dakota State University, Brookings, USA","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056849486","display_name":"Jung\u2010Han Kimn","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jung-Han Kimn","raw_affiliation_strings":["Dept of Mathematics, South Dakota State University, Brookings, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Mathematics, South Dakota State University, Brookings, USA","institution_ids":["https://openalex.org/I177156846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109290972"],"corresponding_institution_ids":["https://openalex.org/I1745920"],"apc_list":null,"apc_paid":null,"fwci":0.3577,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59161936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"0597","last_page":"0602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9991999864578247,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9991999864578247,"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":0.9991000294685364,"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/T11102","display_name":"HVDC Systems and Fault Protection","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7854313850402832},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7795760631561279},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6013704538345337},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5876320600509644},{"id":"https://openalex.org/keywords/preconditioner","display_name":"Preconditioner","score":0.5110119581222534},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.4627615809440613},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.44367244839668274},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4393019378185272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20486056804656982},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.14768382906913757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06690707802772522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854313850402832},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7795760631561279},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6013704538345337},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5876320600509644},{"id":"https://openalex.org/C167431342","wikidata":"https://www.wikidata.org/wiki/Q1754327","display_name":"Preconditioner","level":3,"score":0.5110119581222534},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.4627615809440613},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.44367244839668274},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4393019378185272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20486056804656982},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.14768382906913757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06690707802772522},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc.2019.8666551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2019.8666551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310344","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1499361104","https://openalex.org/W1601563802","https://openalex.org/W2085714935","https://openalex.org/W2106424475","https://openalex.org/W2107632563","https://openalex.org/W2111568253","https://openalex.org/W2149185571","https://openalex.org/W2155173277","https://openalex.org/W2472763926","https://openalex.org/W2514112486","https://openalex.org/W2531704760","https://openalex.org/W2607596470","https://openalex.org/W2623284126","https://openalex.org/W2895296730","https://openalex.org/W2918215189","https://openalex.org/W6726262947","https://openalex.org/W6728994018","https://openalex.org/W6738866948"],"related_works":["https://openalex.org/W2357336958","https://openalex.org/W4281839678","https://openalex.org/W2535797495","https://openalex.org/W2300963337","https://openalex.org/W3162287216","https://openalex.org/W2058487055","https://openalex.org/W608116037","https://openalex.org/W2283235658","https://openalex.org/W2025305727","https://openalex.org/W4401278057"],"abstract_inverted_index":{"One":[0],"of":[1,49,65,71,98],"the":[2,19,22,63,72,82,108,119,131,156],"major":[3],"challenge":[4],"to":[5,17,21],"maintain":[6],"an":[7],"economically":[8],"efficient,":[9],"secure,":[10],"and":[11,29,38,51,89],"reliable":[12],"power":[13,26,32],"system":[14],"operation":[15],"is":[16,75,100,123],"find":[18],"solution":[20],"non-linear":[23],"AC":[24],"optimal":[25,31],"flow":[27,33],"(ACOPF)":[28],"time-constrained":[30],"problems":[34],"(TCOPF)":[35],"as":[36,40],"fast":[37],"accurately":[39],"possible.":[41],"This":[42],"paper":[43],"exploits":[44],"a":[45],"scalable":[46],"parallel":[47,96,120,132,135,144],"implementation":[48,74,97,122,137],"ACOPF":[50,73,121],"TCOPF":[52,99,136],"that":[53,118],"can":[54],"be":[55,148],"solved":[56],"independently":[57],"by":[58,129],"multiple":[59],"CPU":[60],"cores":[61],"with":[62,77,104,125,142],"aim":[64],"reducing":[66],"computation":[67],"time.":[68],"Parallel":[69],"performance":[70,127,145],"evaluated":[76],"strong":[78],"scaling":[79],"tests":[80],"on":[81],"standard":[83,109],"IEEE":[84,110],"118":[85],"bus,":[86],"300":[87],"bus":[88,91,112],"1354":[90],"test":[92,113,153],"cases.":[93],"An":[94],"initial":[95],"also":[101],"presented,":[102],"along":[103,141],"numerical":[105],"results":[106,116],"for":[107,151],"5":[111],"case.":[114],"Initial":[115],"indicate":[117],"scalable,":[124],"additional":[126],"possible":[128],"optimizing":[130],"preconditioner.":[133],"The":[134],"provides":[138],"realistic":[139],"results,":[140],"promising":[143],"which":[146],"will":[147],"explored":[149],"further":[150],"larger":[152],"cases":[154],"in":[155],"future.":[157]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
