{"id":"https://openalex.org/W7083509461","doi":"https://doi.org/10.1109/tii.2025.3609136","title":"Dynamic State Estimation of Power System Utilizing Cauchy Kernel-Based Maximum Mixture Correntropy UKF Over Beluga Whale-Bat Optimization","display_name":"Dynamic State Estimation of Power System Utilizing Cauchy Kernel-Based Maximum Mixture Correntropy UKF Over Beluga Whale-Bat Optimization","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W7083509461","doi":"https://doi.org/10.1109/tii.2025.3609136"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3609136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3609136","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":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering Southwest Jiaotong University Chengdu, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-0385-4056","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering Southwest Jiaotong University Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"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":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering Southwest Jiaotong University Chengdu, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5189-5241","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering Southwest Jiaotong University Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":null,"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":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering Southwest Jiaotong University Chengdu, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0006-9241-7402","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering Southwest Jiaotong University Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67144938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"12","first_page":"9868","last_page":"9878"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6700999736785889,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6700999736785889,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.025299999862909317,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.01810000091791153,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6886000037193298},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6406999826431274},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.5788000226020813},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5389999747276306},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.4916999936103821},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.4749000072479248},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4729999899864197},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.45829999446868896}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6886000037193298},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6406999826431274},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.5788000226020813},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5389999747276306},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.4916999936103821},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.4749000072479248},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4729999899864197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46459999680519104},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.45829999446868896},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3921000063419342},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36739999055862427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36550000309944153},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.35989999771118164},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C26955809","wikidata":"https://www.wikidata.org/wiki/Q10167591","display_name":"Initial value problem","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3276999890804291},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3052999973297119},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.3046000003814697},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.28110000491142273},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2540999948978424},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3609136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3609136","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":[],"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":35,"referenced_works":["https://openalex.org/W2053199107","https://openalex.org/W2143978378","https://openalex.org/W2152195021","https://openalex.org/W2513248895","https://openalex.org/W2763375416","https://openalex.org/W2789481185","https://openalex.org/W2898051599","https://openalex.org/W2912753047","https://openalex.org/W2945661351","https://openalex.org/W2963134661","https://openalex.org/W2969258685","https://openalex.org/W3007907254","https://openalex.org/W3024258530","https://openalex.org/W3024853581","https://openalex.org/W3085837751","https://openalex.org/W3129045349","https://openalex.org/W3159303776","https://openalex.org/W3183282730","https://openalex.org/W3200702630","https://openalex.org/W3213262283","https://openalex.org/W4226099334","https://openalex.org/W4281567319","https://openalex.org/W4281687867","https://openalex.org/W4295855755","https://openalex.org/W4312749201","https://openalex.org/W4313546726","https://openalex.org/W4367277056","https://openalex.org/W4385991848","https://openalex.org/W4388037450","https://openalex.org/W4388600751","https://openalex.org/W4392214007","https://openalex.org/W4392764972","https://openalex.org/W4393193324","https://openalex.org/W4404520368","https://openalex.org/W4406948988"],"related_works":[],"abstract_inverted_index":{"Non-Gaussian":[0],"noise,":[1],"outliers,":[2],"sudden":[3],"load":[4],"changes,":[5],"and":[6,91,105,125,161,188],"bad":[7],"measurement":[8,89],"data":[9],"are":[10,94,175],"key":[11],"factors":[12],"that":[13,164],"diminish":[14],"the":[15,44,50,79,88,97,101,106,129,137,141,147,151,155,158,166,172,179,193,196],"accuracy":[16],"of":[17,83,109,118,136,154,168,195],"dynamic":[18],"state":[19,92,110],"estimation":[20,111],"in":[21,43,53,77,96,140,157,171],"power":[22,148],"systems.":[23],"Additionally,":[24,144],"unscented":[25,173],"Kalman":[26],"filters":[27],"(UKFs)":[28],"based":[29,59,177],"on":[30,60,178,184],"correntropy":[31,65],"criteria":[32,67],"utilize":[33],"bandwidth-sensitive":[34],"Gaussian":[35,138],"kernels,":[36],"which":[37,78],"may":[38],"lead":[39],"to":[40,122,145],"singular":[41],"matrices":[42],"Cholesky":[45],"decomposition.":[46],"To":[47],"overcome":[48],"all":[49],"above":[51],"problems,":[52],"this":[54],"article,":[55],"a":[56],"robust":[57],"UKF":[58],"Cauchy":[61,85,130],"kernel":[62,80,123,131,139,156],"maximum":[63],"mixture":[64],"(CKMMC)":[66],"over":[68],"hybrid":[69],"Beluga":[70],"Whale-Bat":[71],"(BWB)":[72],"optimization":[73,142],"(BWB-CKMMC-UKF)":[74],"is":[75,81,112,133],"proposed,":[76],"merged":[82],"two":[84],"functions.":[86],"Specifically,":[87],"error":[90,93],"unified":[95],"cost":[98],"function":[99,132],"by":[100,114],"statistical":[102],"linearization":[103],"technique,":[104],"optimal":[107],"value":[108],"obtained":[113],"fixed-point":[115],"iteration.":[116],"Because":[117],"its":[119],"insensitive":[120],"feature":[121],"bandwidth":[124],"notable":[126],"thick-tailed":[127],"feature,":[128],"utilized":[134],"instead":[135],"criteria.":[143],"fit":[146],"system":[149],"model,":[150],"shape":[152],"coefficients":[153,163],"CKMMC":[159],"criterion":[160],"scale":[162],"influence":[165],"selection":[167],"sigma":[169],"points":[170],"transform":[174],"determined":[176],"BWB":[180],"algorithm.":[181,198],"Simulation":[182],"results":[183],"IEEE":[185],"14,":[186],"30,":[187],"57-bus":[189],"test":[190],"systems":[191],"validated":[192],"performance":[194],"proposed":[197]},"counts_by_year":[],"updated_date":"2025-11-06T23:17:08.748858","created_date":"2025-10-10T00:00:00"}