{"id":"https://openalex.org/W3105429356","doi":"https://doi.org/10.1109/isgt-europe47291.2020.9248824","title":"On Grid Partitioning in AC Optimal Power Flow","display_name":"On Grid Partitioning in AC Optimal Power Flow","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W3105429356","doi":"https://doi.org/10.1109/isgt-europe47291.2020.9248824","mag":"3105429356"},"language":"en","primary_location":{"id":"doi:10.1109/isgt-europe47291.2020.9248824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt-europe47291.2020.9248824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","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/A5031088224","display_name":"Alexander Murray","orcid":"https://orcid.org/0000-0002-9436-0407"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Murray","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062037526","display_name":"Michael Kyesswa","orcid":"https://orcid.org/0000-0003-4393-2521"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Kyesswa","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045581255","display_name":"Philipp Schmurr","orcid":"https://orcid.org/0009-0004-2324-7839"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Schmurr","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072839884","display_name":"H\u00fcseyin \u00c7akmak","orcid":"https://orcid.org/0000-0002-1463-7606"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Huseyin Cakmak","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014228448","display_name":"Veit Hagenmeyer","orcid":"https://orcid.org/0000-0002-3572-9083"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Veit Hagenmeyer","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53048786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"524","last_page":"528"},"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":0.9934999942779541,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9916999936103821,"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/partition","display_name":"Partition (number theory)","score":0.7466709613800049},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.7038540840148926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671162843704224},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.62432461977005},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.6041409969329834},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5290094017982483},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5194610953330994},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4655296206474304},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4148625135421753},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3954191207885742},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3629218339920044},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.35594192147254944},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.33973607420921326},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3089902997016907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1854378581047058},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17198652029037476}],"concepts":[{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7466709613800049},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.7038540840148926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671162843704224},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.62432461977005},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.6041409969329834},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5290094017982483},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5194610953330994},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4655296206474304},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4148625135421753},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3954191207885742},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3629218339920044},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.35594192147254944},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.33973607420921326},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3089902997016907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1854378581047058},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17198652029037476},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgt-europe47291.2020.9248824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt-europe47291.2020.9248824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6700000166893005,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W125936143","https://openalex.org/W760807047","https://openalex.org/W846299711","https://openalex.org/W1554863717","https://openalex.org/W1910515323","https://openalex.org/W2059550433","https://openalex.org/W2106424475","https://openalex.org/W2116450608","https://openalex.org/W2123871098","https://openalex.org/W2130822890","https://openalex.org/W2138508044","https://openalex.org/W2156319211","https://openalex.org/W2164278908","https://openalex.org/W2165700398","https://openalex.org/W2165874743","https://openalex.org/W2170736358","https://openalex.org/W2341190528","https://openalex.org/W2345986964","https://openalex.org/W2481683546","https://openalex.org/W2767891059","https://openalex.org/W2904265819","https://openalex.org/W2963489471","https://openalex.org/W3098546508","https://openalex.org/W3104001151","https://openalex.org/W4235060752","https://openalex.org/W4250639517","https://openalex.org/W4292363360","https://openalex.org/W6622556047","https://openalex.org/W6675699470","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W1987507258","https://openalex.org/W3139829055","https://openalex.org/W2583811263","https://openalex.org/W1694785277","https://openalex.org/W1966256533","https://openalex.org/W3211941742","https://openalex.org/W4352976663","https://openalex.org/W4287724928","https://openalex.org/W4210453992","https://openalex.org/W2035944803"],"abstract_inverted_index":{"The":[0,90],"AC":[1],"optimal":[2],"power":[3,47],"flow":[4],"problem":[5,34],"is":[6,28,94],"known":[7],"to":[8,18,29,43,77,96],"be":[9],"highly":[10],"non-convex":[11],"and":[12,23,31,68],"scale":[13],"very":[14],"poorly":[15],"with":[16],"respect":[17],"the":[19,33,39,57,64,78,98,107],"number":[20],"of":[21,41],"lines":[22],"buses.":[24],"One":[25],"possible":[26],"solution":[27],"subdivide":[30],"parallelize":[32],"through":[35],"distributed":[36,52,91],"optimization.":[37],"However,":[38],"question":[40],"how":[42],"optimally":[44],"partition":[45],"a":[46],"grid":[48],"for":[49],"use":[50],"in":[51,56],"optimization":[53],"remains":[54],"open":[55],"literature.":[58],"To":[59],"this":[60],"end,":[61],"we":[62],"compare":[63],"graph":[65],"partitioners":[66],"KaFFPa":[67,105],"METIS":[69],"as":[70,72],"well":[71],"two":[73],"spectral":[74],"clustering":[75],"methods":[76],"standard":[79],"IEEE":[80],"9,":[81],"14,":[82],"30,":[83],"39,":[84],"57,":[85],"118,":[86],"300":[87],"bus":[88],"models.":[89],"algorithm":[92],"ALADIN":[93],"used":[95],"solve":[97],"partitioned":[99],"OPF":[100],"problems.":[101],"For":[102],"larger":[103],"grids,":[104],"yields":[106],"best":[108],"results":[109],"on":[110],"average.":[111]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
