{"id":"https://openalex.org/W3207595348","doi":"https://doi.org/10.1109/isc253183.2021.9562928","title":"Evaluating the Performance of Various ACOPF Formulations Using Nonlinear Interior-Point Method","display_name":"Evaluating the Performance of Various ACOPF Formulations Using Nonlinear Interior-Point Method","publication_year":2021,"publication_date":"2021-09-07","ids":{"openalex":"https://openalex.org/W3207595348","doi":"https://doi.org/10.1109/isc253183.2021.9562928","mag":"3207595348"},"language":"en","primary_location":{"id":"doi:10.1109/isc253183.2021.9562928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc253183.2021.9562928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Smart Cities Conference (ISC2)","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/A5091473868","display_name":"Sayed Abdullah Sadat","orcid":"https://orcid.org/0000-0001-8290-6065"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sayed Abdullah Sadat","raw_affiliation_strings":["University of Utah"],"affiliations":[{"raw_affiliation_string":"University of Utah","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091473868"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":1.0027,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75888946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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/T10454","display_name":"Optimal Power Flow Distribution","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/T10454","display_name":"Optimal Power Flow Distribution","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/T10424","display_name":"Electric Power System Optimization","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/T10223","display_name":"Microgrid Control and Optimization","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interior-point-method","display_name":"Interior point method","score":0.7196226119995117},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6918689012527466},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6649781465530396},{"id":"https://openalex.org/keywords/nonlinear-programming","display_name":"Nonlinear programming","score":0.6016024351119995},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5855258703231812},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5360380411148071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062881708145142},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4684135317802429},{"id":"https://openalex.org/keywords/ac-power","display_name":"AC power","score":0.4587055444717407},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4532240331172943},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4441795349121094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3393617868423462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3238232731819153},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.26564788818359375},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.26393646001815796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09314432740211487}],"concepts":[{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.7196226119995117},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6918689012527466},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6649781465530396},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.6016024351119995},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5855258703231812},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5360380411148071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062881708145142},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4684135317802429},{"id":"https://openalex.org/C108755667","wikidata":"https://www.wikidata.org/wiki/Q1930258","display_name":"AC power","level":3,"score":0.4587055444717407},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4532240331172943},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4441795349121094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3393617868423462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3238232731819153},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.26564788818359375},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.26393646001815796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09314432740211487},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc253183.2021.9562928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc253183.2021.9562928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Smart Cities Conference (ISC2)","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":29,"referenced_works":["https://openalex.org/W2093909370","https://openalex.org/W2141380252","https://openalex.org/W2163319674","https://openalex.org/W2168283238","https://openalex.org/W2327238720","https://openalex.org/W2347198359","https://openalex.org/W2461951329","https://openalex.org/W2520235949","https://openalex.org/W2530360123","https://openalex.org/W2554434815","https://openalex.org/W2607023197","https://openalex.org/W2765818063","https://openalex.org/W2787167174","https://openalex.org/W2877449907","https://openalex.org/W2885980673","https://openalex.org/W2890289462","https://openalex.org/W2905669979","https://openalex.org/W2907099152","https://openalex.org/W2911992709","https://openalex.org/W3043287267","https://openalex.org/W3089843158","https://openalex.org/W3120512998","https://openalex.org/W3178942383","https://openalex.org/W4288940005","https://openalex.org/W4300448178","https://openalex.org/W6684152349","https://openalex.org/W6781035692","https://openalex.org/W6789097144","https://openalex.org/W6797857725"],"related_works":["https://openalex.org/W2965106131","https://openalex.org/W2094757704","https://openalex.org/W2114808974","https://openalex.org/W25030584","https://openalex.org/W29231041","https://openalex.org/W2610104823","https://openalex.org/W2074889170","https://openalex.org/W2092044038","https://openalex.org/W2144582354","https://openalex.org/W2059909660"],"abstract_inverted_index":{"Alternating":[0],"current":[1],"optimal":[2],"power":[3],"flow":[4],"(ACOPF)":[5],"problem":[6,38,156],"is":[7,22,60,95,111],"a":[8,11,158],"non-convex":[9],"and":[10,31,53,57,134],"nonlinear":[12,18,73,86],"optimization":[13,19,87,100,145],"problem.":[14,25,104,122],"Similar":[15],"to":[16,39,62,152,191,196],"most":[17,80],"problems,":[20],"ACOPF":[21,121,124,155,171],"an":[23,55,120],"NP-hard":[24],"On":[26],"the":[27,37,79,90,99,103,106,109,116,138,154,168,177,198],"other":[28],"hand,":[29],"Utilities":[30],"independent":[32],"service":[33],"operators":[34],"(ISO)":[35],"require":[36],"be":[40],"solved":[41],"in":[42,51,66,128,149],"almost":[43],"real-time.":[44],"The":[45,163],"real-world":[46],"networks":[47],"are":[48,75,126,147,194],"often":[49],"large":[50],"size":[52],"developing":[54],"efficient":[56],"tractable":[58],"algorithm":[59,117],"critical":[61],"many":[63],"decision-making":[64],"processes":[65],"electricity":[67],"markets.":[68],"Interior-point":[69],"methods":[70],"(IPMs)":[71],"for":[72,83,118,131],"programming":[74],"considered":[76],"one":[77],"of":[78,92,102,108,160,184],"powerful":[81],"algorithms":[82,94],"solving":[84,119],"large-scale":[85],"problems.":[88],"However,":[89],"performance":[91,136],"these":[93,150],"significantly":[96],"impacted":[97],"by":[98],"structure":[101],"Thus,":[105],"choice":[107],"formulation":[110,172],"as":[112,114],"important":[113],"choosing":[115],"Different":[123,144],"formulations":[125,151],"evaluated":[127],"this":[129],"paper":[130],"computational":[132,179],"viability":[133],"best":[135,178],"using":[137],"interior-point":[139],"line":[140],"search":[141],"(IPLS)":[142],"algorithm.":[143],"structures":[146],"used":[148,195],"model":[153],"representing":[157],"range":[159,183],"varying":[161],"sparsity.":[162],"numerical":[164],"experiments":[165],"suggest":[166],"that":[167],"least":[169],"sparse":[170],"with":[173],"polar":[174],"voltages":[175],"yields":[176],"results.":[180,200],"A":[181],"wide":[182],"test":[185,199],"cases,":[186],"ranging":[187],"from":[188],"500-bus":[189],"systems":[190],"9591-bus":[192],"systems,":[193],"verify":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
