{"id":"https://openalex.org/W2950244492","doi":"https://doi.org/10.1109/jsyst.2019.2918234","title":"A Data Clustering Based Probabilistic Power Flow Method for AC/VSC-MTDC","display_name":"A Data Clustering Based Probabilistic Power Flow Method for AC/VSC-MTDC","publication_year":2019,"publication_date":"2019-06-10","ids":{"openalex":"https://openalex.org/W2950244492","doi":"https://doi.org/10.1109/jsyst.2019.2918234","mag":"2950244492"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2019.2918234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2918234","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5062001843","display_name":"Sajad Madadi","orcid":"https://orcid.org/0000-0001-9494-9206"},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Sajad Madadi","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran"],"raw_orcid":"https://orcid.org/0000-0001-9494-9206","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","institution_ids":["https://openalex.org/I41832843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016541935","display_name":"Behnam Mohammadi\u2010Ivatloo","orcid":"https://orcid.org/0000-0002-0255-8353"},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]},{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR","VN"],"is_corresponding":false,"raw_author_name":"Behnam Mohammadi-Ivatloo","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","Institute of Research and Development, Duy Tan University, Da Nang, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-0255-8353","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","institution_ids":["https://openalex.org/I41832843"]},{"raw_affiliation_string":"Institute of Research and Development, Duy Tan University, Da Nang, Vietnam","institution_ids":["https://openalex.org/I170238339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069652323","display_name":"Sajjad Tohidi","orcid":"https://orcid.org/0000-0002-0220-6075"},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sajjad Tohidi","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","institution_ids":["https://openalex.org/I41832843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062001843"],"corresponding_institution_ids":["https://openalex.org/I41832843"],"apc_list":null,"apc_paid":null,"fwci":1.3317,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.81120612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"13","issue":"4","first_page":"4324","last_page":"4334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11102","display_name":"HVDC Systems and Fault Protection","score":0.9980999827384949,"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/T11102","display_name":"HVDC Systems and Fault Protection","score":0.9980999827384949,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9962000250816345,"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/cluster-analysis","display_name":"Cluster analysis","score":0.819397509098053},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7181175947189331},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6223001480102539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.585346519947052},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5502526760101318},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.5366939902305603},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4577750861644745},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.29241514205932617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19474026560783386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10852876305580139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.102967768907547},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09890788793563843}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.819397509098053},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7181175947189331},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6223001480102539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.585346519947052},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5502526760101318},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.5366939902305603},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4577750861644745},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29241514205932617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19474026560783386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10852876305580139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.102967768907547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09890788793563843},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2019.2918234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2918234","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1600704669","https://openalex.org/W1648165750","https://openalex.org/W1968854472","https://openalex.org/W1988227963","https://openalex.org/W1991767606","https://openalex.org/W2003280076","https://openalex.org/W2016040684","https://openalex.org/W2036178646","https://openalex.org/W2040924239","https://openalex.org/W2051278203","https://openalex.org/W2057602363","https://openalex.org/W2059515884","https://openalex.org/W2064119603","https://openalex.org/W2068998606","https://openalex.org/W2076355463","https://openalex.org/W2081873429","https://openalex.org/W2083402196","https://openalex.org/W2084349814","https://openalex.org/W2084769660","https://openalex.org/W2085356046","https://openalex.org/W2087936868","https://openalex.org/W2109894988","https://openalex.org/W2116451892","https://openalex.org/W2130222651","https://openalex.org/W2133924802","https://openalex.org/W2134917918","https://openalex.org/W2156866471","https://openalex.org/W2177287986","https://openalex.org/W2243387655","https://openalex.org/W2340920670","https://openalex.org/W2343398259","https://openalex.org/W2345116169","https://openalex.org/W2509874415","https://openalex.org/W2510417614","https://openalex.org/W2566965130","https://openalex.org/W2588164786","https://openalex.org/W2788669370","https://openalex.org/W2889538283","https://openalex.org/W3027265086","https://openalex.org/W6637072972","https://openalex.org/W6679943308"],"related_works":["https://openalex.org/W2364245233","https://openalex.org/W2154735538","https://openalex.org/W2218563287","https://openalex.org/W2980066635","https://openalex.org/W2091934641","https://openalex.org/W3147453129","https://openalex.org/W2068645708","https://openalex.org/W2973359477","https://openalex.org/W2771350702","https://openalex.org/W4300779338"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,14,58,129,145,156],"role":[4],"of":[5,46,60,63,67,132,140,144],"modified":[6,107,118,122],"clustering":[7,112,170,189],"methods":[8,73,85,97,108,116,190],"to":[9,57,94],"account":[10],"correlated":[11],"uncertainties":[12,29],"in":[13,53,92],"probabilistic":[15,146],"power":[16,54,80,130,147,185],"flow":[17,131,148,186],"problem":[18],"for":[19,77,111,137,149],"alternate":[20],"current/voltage":[21],"source":[22],"control-multiple":[23],"terminal":[24],"direct":[25],"current":[26],"(ac/VSC-MTdc).":[27],"Such":[28,181],"are":[30,74,109,164],"introduced":[31],"by":[32],"stochastic":[33,47,79],"renewable":[34,64],"generation":[35,48],"units":[36,49],"or":[37],"variable":[38],"loads.":[39],"The":[40],"wind":[41],"farm":[42],"is":[43,70,134,153,191,198],"a":[44],"type":[45],"that":[50,152,184],"grows":[51],"dramatically":[52],"networks.":[55],"Due":[56],"increase":[59],"penetration":[61],"level":[62],"generations,":[65],"number":[66],"uncertainty":[68,113],"sources":[69],"increased.":[71],"Clustering":[72],"suitable":[75],"tools":[76],"handling":[78],"system":[81],"problems,":[82],"because":[83],"these":[84],"provide":[86],"acceptable":[87],"results":[88,182],"with":[89,168,188],"less":[90],"computation":[91],"comparison":[93],"other":[95],"common":[96],"such":[98],"as":[99],"Monte":[100,172,201],"Carlo":[101,173,202],"simulations.":[102],"In":[103],"this":[104],"paper,":[105],"two":[106],"used":[110],"sets.":[114],"These":[115],"include":[117],"K-means":[119],"algorithm,":[120],"and":[121,159,166,175,197],"self-organized":[123],"map":[124],"neural":[125],"network.":[126],"After":[127],"clustering,":[128],"ac/VSC-MTdc":[133],"carried":[135],"out":[136],"cluster":[138],"centers":[139],"each":[141],"method.":[142,204],"Results":[143],"case":[150],"study":[151],"based":[154],"on":[155],"IEEE":[157,160],"24-bus":[158],"118-bus":[161],"test":[162],"systems":[163],"presented":[165],"compared":[167],"different":[169],"techniques,":[171],"simulation,":[174],"Latin":[176],"hypercube":[177],"sampling":[178],"(LHS)":[179],"methods.":[180],"show":[183],"calculation":[187],"more":[192],"accurate":[193],"than":[194,200],"LHS":[195],"method":[196],"faster":[199],"simulation":[203]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
