{"id":"https://openalex.org/W4312795874","doi":"https://doi.org/10.1109/tii.2022.3205354","title":"Outlier-Resistant Recursive State Estimation for Renewable-Electricity-Generation-Based Microgrids","display_name":"Outlier-Resistant Recursive State Estimation for Renewable-Electricity-Generation-Based Microgrids","publication_year":2022,"publication_date":"2022-11-23","ids":{"openalex":"https://openalex.org/W4312795874","doi":"https://doi.org/10.1109/tii.2022.3205354"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3205354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3205354","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":"https://openalex.org/A5038651420","display_name":"Bogang Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bogang Qu","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China","Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9576-7401","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056603533","display_name":"Bo Shen","orcid":"https://orcid.org/0000-0003-3482-5783"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Shen","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China","Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3482-5783","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064660687","display_name":"Hongli Dong","orcid":"https://orcid.org/0000-0001-8531-6757"},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Dong","raw_affiliation_strings":["Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","Sanya Offshore Oil and Gas Research Institute, Northeast Petroleum University, Sanya, China","Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8531-6757","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I4210094970","https://openalex.org/I921716337"]},{"raw_affiliation_string":"Sanya Offshore Oil and Gas Research Institute, Northeast Petroleum University, Sanya, China","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.638,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.83370236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"5","first_page":"18","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9998999834060669,"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/T10305","display_name":"Power System Optimization and Stability","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/T10223","display_name":"Microgrid Control and Optimization","score":0.9995999932289124,"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/T12277","display_name":"Frequency Control in Power Systems","score":0.9980000257492065,"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/outlier","display_name":"Outlier","score":0.8388684988021851},{"id":"https://openalex.org/keywords/microgrid","display_name":"Microgrid","score":0.7783271074295044},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.6234380006790161},{"id":"https://openalex.org/keywords/electricity-generation","display_name":"Electricity generation","score":0.5442701578140259},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5403885841369629},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5021533966064453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4996211528778076},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4678543210029602},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4440627694129944},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.42335256934165955},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42282065749168396},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3425723910331726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31303349137306213},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.271311491727829},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2188498079776764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20127594470977783},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1387704610824585}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8388684988021851},{"id":"https://openalex.org/C2776784348","wikidata":"https://www.wikidata.org/wiki/Q5762595","display_name":"Microgrid","level":3,"score":0.7783271074295044},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.6234380006790161},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.5442701578140259},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5403885841369629},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5021533966064453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4996211528778076},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4678543210029602},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4440627694129944},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.42335256934165955},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42282065749168396},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3425723910331726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31303349137306213},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.271311491727829},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2188498079776764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20127594470977783},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1387704610824585},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2022.3205354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3205354","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"},{"id":"doi:10.1201/9781003683964-2","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003683964-2","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Dynamic State Estimation for Power Systems under Unconventional Measurements","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1463362488","display_name":null,"funder_award_id":"61873058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1807432837","display_name":null,"funder_award_id":"61873148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3066835647","display_name":null,"funder_award_id":"U21A2019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4259061046","display_name":null,"funder_award_id":"61922024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6326848705","display_name":null,"funder_award_id":"62273088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7200296078","display_name":null,"funder_award_id":"61873059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7520588270","display_name":"\u7f51\u7edc\u653b\u51fb\u60c5\u5f62\u4e0b\u77ff\u5c71\u7269\u7406\u4fe1\u606f\u878d\u5408\u7cfb\u7edf\u7684\u5206\u5e03\u5f0f\u6545\u969c\u8bca\u65ad\u7814\u7a76","funder_award_id":"61933007","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1984734365","https://openalex.org/W2042663762","https://openalex.org/W2054256383","https://openalex.org/W2127882127","https://openalex.org/W2232335510","https://openalex.org/W2293429011","https://openalex.org/W2403095561","https://openalex.org/W2433145132","https://openalex.org/W2763375416","https://openalex.org/W2791925622","https://openalex.org/W2796210679","https://openalex.org/W2885249296","https://openalex.org/W2918996965","https://openalex.org/W2984195658","https://openalex.org/W3017836021","https://openalex.org/W3091170116","https://openalex.org/W3116298211","https://openalex.org/W3118504340","https://openalex.org/W3119207288","https://openalex.org/W3194618954","https://openalex.org/W3195397261","https://openalex.org/W3196021619","https://openalex.org/W3210085249","https://openalex.org/W3215453560","https://openalex.org/W3216602783","https://openalex.org/W4200365605","https://openalex.org/W4205958275","https://openalex.org/W4206400214","https://openalex.org/W4220962567","https://openalex.org/W4226128970"],"related_works":["https://openalex.org/W4210780382","https://openalex.org/W2057975886","https://openalex.org/W4308700935","https://openalex.org/W1574359403","https://openalex.org/W2356033827","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Chapter":[0],"2":[1],":":[2],"This":[3],"chapter":[4,47],"addresses":[5],"the":[6,16,24,46,64,93,103,132,169],"state":[7,137],"estimation":[8,94,138,141],"(SE)":[9],"problems":[10],"for":[11,153],"renewable-electricity-generation":[12],"(REG)-based":[13],"microgrids,":[14,163],"where":[15],"measurement":[17,114],"outliers":[18,38],"are":[19],"also":[20,87],"considered.":[21],"Different":[22],"from":[23,70],"traditional":[25],"weighted":[26],"least":[27],"square":[28],"or":[29,83],"Kalman":[30],"filter":[31],"(KF)-based":[32],"methods,":[33],"which":[34,97,164],"lack":[35],"robustness":[36],"to":[37,41,43,62],"and":[39,116,143,158,175],"fail":[40],"adapt":[42],"microgrid":[44,122],"dynamics,":[45],"proposes":[48],"a":[49,59,150],"novel":[50],"outlier-resistant":[51],"recursive":[52],"SE":[53],"algorithm.":[54],"Key":[55],"innovations":[56],"include":[57],"embedding":[58],"saturation":[60],"function":[61],"constrain":[63],"innovation":[65],"term,":[66],"mitigating":[67],"adverse":[68],"impacts":[69],"outlier-contaminated":[71],"data":[72],"without":[73],"requiring":[74],"prior":[75],"knowledge":[76],"of":[77,161],"outlier":[78],"characteristics":[79],"(e.g.":[80],"type,":[81],"frequency,":[82],"probability).":[84],"The":[85],"algorithm":[86],"guarantees":[88],"an":[89,120],"upper":[90],"bound":[91],"on":[92,107,119],"error":[95],"covariance,":[96],"is":[98,165],"minimized":[99],"by":[100],"optimally":[101],"designing":[102],"estimator":[104],"gain.":[105],"Based":[106],"three":[108],"simulation":[109],"scenarios":[110],"(gross":[111],"errors,":[112],"large":[113],"noises,":[115],"random":[117],"outliers)":[118],"islanded":[121,176],"with":[123],"two":[124],"REG":[125],"units,":[126],"it":[127],"can":[128],"be":[129],"found":[130],"that":[131],"proposed":[133],"approach":[134],"outperforms":[135],"conventional":[136],"methods":[139],"in":[140,167,172],"accuracy":[142],"robustness.":[144],"In":[145],"summary,":[146],"this":[147],"work":[148],"provides":[149],"practical":[151],"solution":[152],"real-time":[154],"monitoring,":[155],"security":[156],"assessment,":[157],"situational":[159],"awareness":[160],"REG-based":[162],"useful":[166],"enhancing":[168],"reliable":[170],"operation":[171],"both":[173],"grid-connected":[174],"modes.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}