{"id":"https://openalex.org/W4409426237","doi":"https://doi.org/10.1109/tii.2025.3545093","title":"Adaptive Robust Unscented Kalman Filter for Dynamic State Estimation of Power System","display_name":"Adaptive Robust Unscented Kalman Filter for Dynamic State Estimation of Power System","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4409426237","doi":"https://doi.org/10.1109/tii.2025.3545093"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3545093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3545093","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":null,"display_name":"Duc Viet Nguyen","orcid":"https://orcid.org/0009-0009-0385-4056"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duc Viet Nguyen","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-0385-4056","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602542","display_name":"Haiquan Zhao","orcid":"https://orcid.org/0000-0002-5189-5241"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiquan Zhao","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5189-5241","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021407422","display_name":"Jinhui Hu","orcid":"https://orcid.org/0009-0006-9241-7402"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Hu","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0006-9241-7402","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":null,"display_name":"Le Ngoc Giang","orcid":"https://orcid.org/0009-0007-0380-1291"},"institutions":[{"id":"https://openalex.org/I4210134588","display_name":"Academy Of Finance","ror":"https://ror.org/03qd55m24","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210134588"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Le Ngoc Giang","raw_affiliation_strings":["Faculty of Fundamental Technical, AD-AF Academy, Ha Noi, Vietnam"],"raw_orcid":"https://orcid.org/0009-0007-0380-1291","affiliations":[{"raw_affiliation_string":"Faculty of Fundamental Technical, AD-AF Academy, Ha Noi, Vietnam","institution_ids":["https://openalex.org/I4210134588"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.179,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9456211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"21","issue":"7","first_page":"5081","last_page":"5092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9557999968528748,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9557999968528748,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9309999942779541,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9070000052452087,"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/kalman-filter","display_name":"Kalman filter","score":0.8622933626174927},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6761788129806519},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.6316872835159302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5422893166542053},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.526237428188324},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.4490438997745514},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.4482932388782501},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4292373061180115},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4239044189453125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2827836573123932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1708681583404541},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.08117985725402832}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8622933626174927},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6761788129806519},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.6316872835159302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5422893166542053},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.526237428188324},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.4490438997745514},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.4482932388782501},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4292373061180115},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4239044189453125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2827836573123932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1708681583404541},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.08117985725402832},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3545093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3545093","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7799999713897705,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3184487484","display_name":null,"funder_award_id":"62171388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4514581901","display_name":"\u9ad8\u6548\u7a33\u5065\u7684\u5206\u5e03\u5f0f\u7ea6\u675f\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b0\u65b9\u6cd5\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"61871461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6148365373","display_name":"\u591a\u6838\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b0\u65b9\u6cd5\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61571374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1886566350","https://openalex.org/W1980907873","https://openalex.org/W2107802551","https://openalex.org/W2143978378","https://openalex.org/W2152195021","https://openalex.org/W2544053333","https://openalex.org/W2763375416","https://openalex.org/W2772930848","https://openalex.org/W2789481185","https://openalex.org/W2898051599","https://openalex.org/W2912753047","https://openalex.org/W2945661351","https://openalex.org/W2947555983","https://openalex.org/W2969258685","https://openalex.org/W2997297215","https://openalex.org/W2998994343","https://openalex.org/W4206784501","https://openalex.org/W4226099334","https://openalex.org/W4281567319","https://openalex.org/W4281694885","https://openalex.org/W4308901405","https://openalex.org/W4309628246","https://openalex.org/W4313546726","https://openalex.org/W4313598754","https://openalex.org/W4319992657","https://openalex.org/W4380995076","https://openalex.org/W4385991848","https://openalex.org/W4388557050","https://openalex.org/W4388600751","https://openalex.org/W4392214007","https://openalex.org/W4402321797","https://openalex.org/W6622745955"],"related_works":["https://openalex.org/W2375426323","https://openalex.org/W2360000509","https://openalex.org/W2137183867","https://openalex.org/W2126616688","https://openalex.org/W4405267133","https://openalex.org/W2119079501","https://openalex.org/W4206024512","https://openalex.org/W2139857744","https://openalex.org/W4287243885","https://openalex.org/W2011604740"],"abstract_inverted_index":{"Non-Gaussian":[0],"noise":[1,6,159,206],"and":[2,101,112,148,156,200,221,237],"the":[3,9,25,29,33,75,82,118,127,145,150,158,164,168,175,182,186,189,192,201,205,211,217,231,235],"uncertainty":[4],"of":[5,19,28,81,109,178,185,204,243],"distribution":[7],"are":[8],"common":[10],"factors":[11],"that":[12,230],"reduce":[13],"accuracy":[14],"in":[15,32,188,197,225],"dynamic":[16],"state":[17,99,110],"estimation":[18,79],"power":[20],"systems":[21,224],"(PS).":[22],"In":[23,48],"addition,":[24],"optimal":[26,176],"value":[27,177],"free":[30,102],"coefficients":[31,103,184,193],"unscented":[34,198],"Kalman":[35],"filter":[36],"(UKF)":[37],"based":[38,86,130],"on":[39,87,131,216],"information":[40],"theoretic":[41],"criteria":[42],"is":[43,71,85,115,123,170],"also":[44],"an":[45,106,240],"urgent":[46],"problem.":[47],"this":[49],"article,":[50],"a":[51,135],"robust":[52],"adaptive":[53,98],"UKF":[54,238],"(AUKF)":[55],"under":[56],"generalized":[57,136],"minimum":[58],"mixture":[59,141],"error":[60,94],"entropy":[61],"with":[62,140,153,210],"fiducial":[63],"points":[64,196],"(GMMEEFs)":[65],"over":[66],"improve":[67],"Snow":[68],"Geese":[69],"algorithm":[70,84,233],"proposed":[72,83,232],"to":[73,143,163,172],"overcome":[74],"above":[76],"difficulties.":[77],"The":[78],"process":[80],"several":[88],"key":[89],"steps":[90],"including":[91],"augmented":[92],"regression":[93],"model":[95],"(AREM)":[96],"construction,":[97],"estimation,":[100],"optimization.":[104],"Specifically,":[105],"AREM":[107,165],"consisting":[108],"prediction":[111],"measurement":[113],"errors":[114],"established":[116],"at":[117],"first":[119],"step.":[120],"Then,":[121],"GMMEEF-AUKF":[122],"developed":[124],"by":[125,239],"solving":[126],"optimization":[128],"problem":[129,152],"GMMEEF,":[132],"which":[133],"uses":[134],"Gaussian":[137],"kernel":[138,187],"combined":[139],"correntropy":[142],"enhance":[144],"flexibility":[146],"further":[147],"resolve":[149],"data":[151],"complex":[154,226],"attributes":[155],"update":[157,202],"covariance":[160,207],"matrix":[161],"according":[162],"framework.":[166],"Finally,":[167],"ISGA":[169],"designed":[171],"automatically":[173],"calculate":[174],"coefficients,":[179],"such":[180],"as":[181],"shape":[183],"GMMEEF":[190],"criterion,":[191],"selection":[194],"sigma":[195],"transform,":[199],"coefficient":[203],"matrices":[208],"fit":[209],"PS":[212],"model.":[213],"Simulation":[214],"results":[215],"IEEE":[218],"14,":[219],"30,":[220],"57-bus":[222],"test":[223],"scenarios":[227],"have":[228],"confirmed":[229],"outperforms":[234],"MEEF-UKF":[236],"average":[241],"efficiency":[242],"26%":[244],"and65%,":[245],"respectively.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
