{"id":"https://openalex.org/W4387986763","doi":"https://doi.org/10.1109/tim.2023.3328095","title":"Robust Dynamic State Estimation for DFIG via the Generalized Maximum Correntropy Criterion Ensemble Kalman Filter","display_name":"Robust Dynamic State Estimation for DFIG via the Generalized Maximum Correntropy Criterion Ensemble Kalman Filter","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387986763","doi":"https://doi.org/10.1109/tim.2023.3328095"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3328095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3328095","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5064791338","display_name":"Wentao Ma","orcid":"https://orcid.org/0000-0002-2781-1693"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wentao Ma","raw_affiliation_strings":["School of Electrical Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2781-1693","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077504987","display_name":"Chenyu Wang","orcid":"https://orcid.org/0009-0004-6908-0130"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyu Wang","raw_affiliation_strings":["School of Electrical Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0004-6908-0130","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104188942","display_name":"Lujuan Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujuan Dang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032055605","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0002-9518-4644"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9518-4644","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1710-3818","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064791338"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6608,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84259925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9990000128746033,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9990000128746033,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9990000128746033,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/outlier","display_name":"Outlier","score":0.7050874829292297},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.698966920375824},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.6956779360771179},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6351621150970459},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.510420024394989},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5034684538841248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49672824144363403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45853763818740845},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43268176913261414},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4248146116733551},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3821007013320923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30475372076034546},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.3046274185180664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1831764578819275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16308140754699707}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7050874829292297},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.698966920375824},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.6956779360771179},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6351621150970459},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.510420024394989},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5034684538841248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49672824144363403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45853763818740845},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43268176913261414},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4248146116733551},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3821007013320923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30475372076034546},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3046274185180664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1831764578819275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16308140754699707},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/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},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3328095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3328095","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G525149751","display_name":null,"funder_award_id":"61976175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5268817677","display_name":null,"funder_award_id":"U21A20485","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7312330045","display_name":null,"funder_award_id":"2021YFB2401904","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1701760339","https://openalex.org/W2028200867","https://openalex.org/W2068727309","https://openalex.org/W2076636620","https://openalex.org/W2081920865","https://openalex.org/W2135160607","https://openalex.org/W2154038677","https://openalex.org/W2158987262","https://openalex.org/W2160337655","https://openalex.org/W2206041003","https://openalex.org/W2259547337","https://openalex.org/W2320397089","https://openalex.org/W2323936452","https://openalex.org/W2346642225","https://openalex.org/W2463955634","https://openalex.org/W2604561420","https://openalex.org/W2761338899","https://openalex.org/W2765195441","https://openalex.org/W2800326108","https://openalex.org/W2800604060","https://openalex.org/W2800676474","https://openalex.org/W2809545838","https://openalex.org/W2893657870","https://openalex.org/W2904316547","https://openalex.org/W2945661351","https://openalex.org/W2946503706","https://openalex.org/W2951837999","https://openalex.org/W2955212278","https://openalex.org/W2980210142","https://openalex.org/W2999186831","https://openalex.org/W3002047872","https://openalex.org/W3011280982","https://openalex.org/W3016056009","https://openalex.org/W3018634369","https://openalex.org/W3024853581","https://openalex.org/W3043746430","https://openalex.org/W3083847148","https://openalex.org/W3098773093","https://openalex.org/W4206624308","https://openalex.org/W4225940607","https://openalex.org/W4226099334","https://openalex.org/W4226236168","https://openalex.org/W4285271797","https://openalex.org/W4292018252"],"related_works":["https://openalex.org/W4206024512","https://openalex.org/W1970833970","https://openalex.org/W2900391131","https://openalex.org/W1657752397","https://openalex.org/W3185162478","https://openalex.org/W2053335193","https://openalex.org/W2394115825","https://openalex.org/W2188632562","https://openalex.org/W2533888311","https://openalex.org/W4246354917"],"abstract_inverted_index":{"Accurate":[0],"the":[1,43,82,89,100,117,131,136,141,145,149,155,170,175,185,195,199],"dynamic":[2,33],"state":[3,34,143],"estimation":[4,35],"(DSE)":[5],"of":[6,99,120,152,169],"complex":[7],"power":[8],"systems":[9],"with":[10,46,96,192,211],"doubly-fed":[11],"induction":[12],"generators":[13],"(DFIG)":[14],"is":[15,27,59,103],"a":[16,28,72,125],"pressing":[17],"issue":[18],"that":[19,198],"requires":[20],"resolution.":[21],"The":[22,94],"ensemble":[23],"Kalman":[24],"filter":[25],"(EnKF)":[26],"powerful":[29],"tool":[30],"for":[31,92,114],"DFIG":[32],"due":[36],"to":[37,139,148,173],"its":[38],"superior":[39],"tracking":[40],"capabilities.":[41],"However,":[42],"original":[44],"EnKF":[45,75,90,137],"mean":[47],"square":[48],"error":[49,101],"(MSE)":[50],"cost":[51,118],"may":[52],"produce":[53],"inaccurate":[54],"results":[55,196],"when":[56],"measurement":[57,176,209],"data":[58,210],"contaminated":[60],"by":[61,164],"non-Gaussian":[62,106,212],"noise":[63,107,177,213],"or":[64],"outliers.":[65],"To":[66],"address":[67],"this":[68],"issue,":[69],"we":[70,123,158],"propose":[71,159],"novel":[73],"robust":[74,104],"method,":[76],"denoted":[77],"as":[78,116],"GMCC-EnKF,":[79],"which":[80],"incorporates":[81],"generalized":[83],"maximum":[84],"correntropy":[85],"criterion":[86],"(GMCC)":[87],"into":[88],"framework":[91,138],"DSE.":[93],"GMCC":[95],"higher-order":[97],"moments":[98],"distribution":[102],"in":[105],"cases,":[108],"making":[109],"it":[110],"an":[111,160,166],"ideal":[112],"replacement":[113],"MSE":[115],"function":[119,168],"EnKF.":[121],"Additionally,":[122],"use":[124],"statistical":[126],"linear":[127],"regression":[128],"model":[129],"and":[130,194,204],"fixed-point":[132],"iteration":[133],"method":[134,201],"within":[135],"solve":[140],"optimal":[142],"under":[144,208],"GMCC.":[146],"Due":[147],"potential":[150],"influence":[151],"outliers":[153],"on":[154],"innovation":[156,171],"vector,":[157],"enhanced":[161],"GMCC-EnKF":[162],"(EnGMCC-EnKF)":[163],"introducing":[165],"exponential":[167],"vector":[172],"update":[174],"covariance.":[178],"We":[179],"perform":[180],"several":[181],"numerical":[182],"simulations":[183],"using":[184],"improved":[186],"IEEE":[187],"39":[188],"bus":[189],"test":[190],"system":[191],"DFIG,":[193],"demonstrate":[197],"proposed":[200],"guarantees":[202],"accuracy":[203],"maintains":[205],"good":[206],"robustness":[207],"(or":[214],"outliers)":[215],"cases.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
