{"id":"https://openalex.org/W2975535243","doi":"https://doi.org/10.1109/tsg.2019.2943540","title":"Dynamic Distribution State Estimation Using Synchrophasor Data","display_name":"Dynamic Distribution State Estimation Using Synchrophasor Data","publication_year":2019,"publication_date":"2019-09-24","ids":{"openalex":"https://openalex.org/W2975535243","doi":"https://doi.org/10.1109/tsg.2019.2943540","mag":"2975535243"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2019.2943540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2019.2943540","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Transactions on Smart Grid","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/A5015055879","display_name":"Jianhan Song","orcid":"https://orcid.org/0000-0001-5241-9426"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianhan Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060100126","display_name":"Emiliano Dall\u2019Anese","orcid":"https://orcid.org/0000-0002-6486-7477"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emiliano Dall'Anese","raw_affiliation_strings":["Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, USA"],"raw_orcid":"https://orcid.org/0000-0002-6486-7477","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019172720","display_name":"Andrea Simonetto","orcid":"https://orcid.org/0000-0003-2923-3361"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Andrea Simonetto","raw_affiliation_strings":["Optimization and Control Group, IBM Research Ireland, Dublin 15, Ireland"],"raw_orcid":"https://orcid.org/0000-0003-2923-3361","affiliations":[{"raw_affiliation_string":"Optimization and Control Group, IBM Research Ireland, Dublin 15, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644862","display_name":"Hao Zhu","orcid":"https://orcid.org/0000-0002-1554-5332"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA"],"raw_orcid":"https://orcid.org/0000-0002-1554-5332","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6327,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9358715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"821","last_page":"831"},"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/T10305","display_name":"Power System Optimization and Stability","score":0.9998000264167786,"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":0.9979000091552734,"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/phasor","display_name":"Phasor","score":0.6176373958587646},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5960846543312073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5826956033706665},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5776749849319458},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5652049779891968},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.5299302935600281},{"id":"https://openalex.org/keywords/units-of-measurement","display_name":"Units of measurement","score":0.4756452739238739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43210506439208984},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.41537004709243774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24928534030914307},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.2139456570148468},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.13250041007995605},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.11155706644058228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10078346729278564}],"concepts":[{"id":"https://openalex.org/C176605952","wikidata":"https://www.wikidata.org/wiki/Q827674","display_name":"Phasor","level":4,"score":0.6176373958587646},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5960846543312073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5826956033706665},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5776749849319458},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5652049779891968},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.5299302935600281},{"id":"https://openalex.org/C151233233","wikidata":"https://www.wikidata.org/wiki/Q47574","display_name":"Units of measurement","level":2,"score":0.4756452739238739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43210506439208984},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.41537004709243774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24928534030914307},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.2139456570148468},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.13250041007995605},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.11155706644058228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10078346729278564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/tsg.2019.2943540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2019.2943540","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2020152934","display_name":null,"funder_award_id":"APUP UGA-0-41026-109","funder_id":"https://openalex.org/F4320338290","funder_display_name":"National Renewable Energy Laboratory"},{"id":"https://openalex.org/G7075964187","display_name":null,"funder_award_id":"ECCS-1802319","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338290","display_name":"National Renewable Energy Laboratory","ror":"https://ror.org/036266993"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1974644684","https://openalex.org/W1980538774","https://openalex.org/W2029184861","https://openalex.org/W2030374597","https://openalex.org/W2043776058","https://openalex.org/W2058341303","https://openalex.org/W2099604853","https://openalex.org/W2107788233","https://openalex.org/W2121239749","https://openalex.org/W2129338541","https://openalex.org/W2145761514","https://openalex.org/W2166569007","https://openalex.org/W2171033594","https://openalex.org/W2255965710","https://openalex.org/W2279293005","https://openalex.org/W2317005392","https://openalex.org/W2334439829","https://openalex.org/W2339497397","https://openalex.org/W2559962737","https://openalex.org/W2566859239","https://openalex.org/W2762654164","https://openalex.org/W2763375416","https://openalex.org/W2767466963","https://openalex.org/W2784176971","https://openalex.org/W2963389126","https://openalex.org/W2964066500","https://openalex.org/W2964100695","https://openalex.org/W3099705743","https://openalex.org/W4236613799","https://openalex.org/W4241079583","https://openalex.org/W4296139939","https://openalex.org/W4302309459"],"related_works":["https://openalex.org/W2182509182","https://openalex.org/W2125787228","https://openalex.org/W2138143921","https://openalex.org/W2102647849","https://openalex.org/W2102650188","https://openalex.org/W2547260311","https://openalex.org/W2166008706","https://openalex.org/W1923806246","https://openalex.org/W4244071503","https://openalex.org/W2582236778"],"abstract_inverted_index":{"The":[0,55,78,103],"increasing":[1],"deployment":[2],"of":[3,27,40,76,86,96,138,152],"distribution-level":[4],"phasor":[5],"measurement":[6,101],"units":[7],"(PMUs)":[8],"calls":[9],"for":[10,70],"dynamic":[11],"distribution":[12],"state":[13,30,121],"estimation":[14,150],"(DDSE)":[15],"approaches":[16],"that":[17,116],"tap":[18],"into":[19],"high-rate":[20],"measurements":[21],"to":[22,100,111],"maintain":[23],"a":[24,41,59,83,107],"comprehensive":[25],"view":[26],"the":[28,38,47,51,71,87,120,136,139,149],"distribution-system":[29],"in":[31],"real":[32],"time.":[33],"Accordingly,":[34],"this":[35],"paper":[36,104],"explores":[37],"development":[39],"fast":[42],"algorithmic":[43],"framework":[44],"by":[45],"casting":[46],"DDSE":[48],"task":[49],"within":[50],"time-varying":[52,56,60],"optimization":[53],"realm.":[54],"formulation":[57,79],"involves":[58],"robustified":[61],"least-squares":[62],"approach,":[63],"and":[64,91,146],"it":[65,92,133],"naturally":[66],"models":[67],"optimal":[68],"trajectories":[69],"estimated":[72],"states":[73],"under":[74],"streaming":[75],"measurements.":[77,125],"is":[80,129],"based":[81],"on":[82,135,148],"linear":[84],"surrogate":[85],"AC":[88],"powerflow":[89],"equations,":[90],"includes":[93],"an":[94],"element":[95],"robustness":[97],"with":[98],"respect":[99],"outliers.":[102],"then":[105],"leverages":[106],"first-order":[108],"prediction-correction":[109],"method":[110],"achieve":[112],"simple":[113],"online":[114,127],"updates":[115],"can":[117,155],"provably":[118],"track":[119],"variables":[122],"from":[123],"heterogeneous":[124],"This":[126],"algorithm":[128,154],"computationally":[130],"efficient":[131],"as":[132],"relies":[134],"Hessian":[137],"cost":[140],"function":[141],"without":[142],"computing":[143],"matrix-inverse.":[144],"Convergence":[145],"bounds":[147],"errors":[151],"proposed":[153],"be":[156],"analytically":[157],"established.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
