{"id":"https://openalex.org/W2517092926","doi":"https://doi.org/10.1109/pscc.2016.7540826","title":"A parallel primal-dual interior-point method for DC optimal power flow","display_name":"A parallel primal-dual interior-point method for DC optimal power flow","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2517092926","doi":"https://doi.org/10.1109/pscc.2016.7540826","mag":"2517092926"},"language":"en","primary_location":{"id":"doi:10.1109/pscc.2016.7540826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pscc.2016.7540826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Power Systems Computation Conference (PSCC)","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/A5048560892","display_name":"Ariana Minot","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ariana Minot","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102945856","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0003-2216-1035"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue M. Lu","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368048","display_name":"Na Li","orcid":"https://orcid.org/0000-0001-9545-3050"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Li","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048560892"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":2.0908,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8842008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9955000281333923,"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/interior-point-method","display_name":"Interior point method","score":0.8452591300010681},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6706135272979736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6532623767852783},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6305896043777466},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6092626452445984},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.558892011642456},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4725853204727173},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4661020040512085},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.46240144968032837},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4483816921710968},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4339299201965332},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.42585963010787964},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.41199034452438354},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4115394651889801},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41051003336906433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39786234498023987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2505648136138916},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.11556097865104675}],"concepts":[{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.8452591300010681},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6706135272979736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6532623767852783},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6305896043777466},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6092626452445984},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.558892011642456},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4725853204727173},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4661020040512085},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.46240144968032837},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4483816921710968},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4339299201965332},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.42585963010787964},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.41199034452438354},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4115394651889801},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41051003336906433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39786234498023987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2505648136138916},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.11556097865104675},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pscc.2016.7540826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pscc.2016.7540826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Power Systems Computation Conference (PSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W96816530","https://openalex.org/W1518039036","https://openalex.org/W2011393317","https://openalex.org/W2035579008","https://openalex.org/W2105102609","https://openalex.org/W2106067217","https://openalex.org/W2106424475","https://openalex.org/W2107632563","https://openalex.org/W2128166312","https://openalex.org/W2159918140","https://openalex.org/W2164278908","https://openalex.org/W2296319761","https://openalex.org/W2313629133","https://openalex.org/W2962964418","https://openalex.org/W3035235874","https://openalex.org/W3104243370","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W4292691059","https://openalex.org/W4300450507"],"related_works":["https://openalex.org/W2965106131","https://openalex.org/W2094757704","https://openalex.org/W25030584","https://openalex.org/W29231041","https://openalex.org/W2610104823","https://openalex.org/W2074889170","https://openalex.org/W2092044038","https://openalex.org/W2114808974","https://openalex.org/W2144582354","https://openalex.org/W2204863336"],"abstract_inverted_index":{"Optimal":[0],"power":[1,10,34],"flow":[2],"(OPF)":[3],"seeks":[4],"the":[5,29,33,66,112,116],"operation":[6],"point":[7,69,77],"of":[8,32,93,115],"a":[9,14,61,80,91],"system":[11,117],"that":[12,42],"maximizes":[13],"given":[15],"objective":[16],"function":[17],"and":[18,21,28,49,102],"satisfies":[19],"operational":[20],"physical":[22],"constraints.":[23],"Given":[24],"real-time":[25],"operating":[26],"conditions":[27],"large":[30],"scale":[31],"system,":[35],"it":[36],"is":[37],"demanding":[38],"to":[39,46,71,105],"develop":[40,60],"algorithms":[41,87],"allow":[43],"for":[44,64],"OPF":[45],"be":[47],"decomposed":[48],"efficiently":[50],"solved":[51],"on":[52],"parallel":[53,62],"computing":[54],"systems.":[55,97],"In":[56],"our":[57],"work,":[58],"we":[59],"algorithm":[63],"applying":[65],"primal-dual":[67,75],"interior":[68,76],"method":[70,78],"solve":[72,106],"OPF.":[73],"The":[74],"has":[79],"much":[81],"faster":[82],"convergence":[83],"rate":[84],"than":[85],"gradient-based":[86],"but":[88],"requires":[89],"solving":[90],"series":[92],"large,":[94],"sparse":[95],"linear":[96,108],"We":[98],"design":[99],"efficient":[100],"parallelized":[101],"iterative":[103],"methods":[104],"such":[107],"systems":[109],"which":[110],"utilize":[111],"sparsity":[113],"structure":[114],"matrix.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}