{"id":"https://openalex.org/W4321366713","doi":"https://doi.org/10.1109/tii.2023.3246465","title":"A Distributed Robust System-Wide State Estimation Method for Power Systems Based on Maximum Correntropy","display_name":"A Distributed Robust System-Wide State Estimation Method for Power Systems Based on Maximum Correntropy","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321366713","doi":"https://doi.org/10.1109/tii.2023.3246465"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3246465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3246465","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/A5016859776","display_name":"Tengpeng Chen","orcid":"https://orcid.org/0000-0003-0404-031X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengpeng Chen","raw_affiliation_strings":["Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China","Shenzhen Research Institute of Xiamen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute of Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019825982","display_name":"He Ren","orcid":"https://orcid.org/0000-0002-3037-894X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Ren","raw_affiliation_strings":["Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045789684","display_name":"Guipeng Chen","orcid":"https://orcid.org/0000-0001-8271-2455"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guipeng Chen","raw_affiliation_strings":["Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035518578","display_name":"Hoay Beng Gooi","orcid":"https://orcid.org/0000-0002-5983-2181"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hoay Beng Gooi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040457529","display_name":"G.A.J. Amaratunga","orcid":"https://orcid.org/0000-0002-8614-2864"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096887","display_name":"HKUST Shenzhen Research Institute","ror":"https://ror.org/00sz56h79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I4210096887","https://openalex.org/I4210147811"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Gehan A. J. Amaratunga","raw_affiliation_strings":["Department of Engineering, University of Cambridge, U.K","SZ-HK International AT Research Institute, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"SZ-HK International AT Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210096887"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016859776"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":2.0854,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86893329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"12","first_page":"11455","last_page":"11465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8312948942184448},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7666608095169067},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6720513701438904},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6457787752151489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5960589051246643},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.538757860660553},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.47031891345977783},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4302799105644226},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4265595078468323},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3991047143936157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37392136454582214},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.27390408515930176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1443871259689331},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.14133521914482117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12307322025299072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12004697322845459}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8312948942184448},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7666608095169067},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6720513701438904},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6457787752151489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960589051246643},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.538757860660553},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.47031891345977783},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4302799105644226},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4265595078468323},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3991047143936157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37392136454582214},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27390408515930176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1443871259689331},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.14133521914482117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12307322025299072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12004697322845459},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3246465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3246465","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":0.4699999988079071,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7683285296","display_name":null,"funder_award_id":"61903314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7956081941","display_name":null,"funder_award_id":"2019J05020","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1598852905","https://openalex.org/W1919816006","https://openalex.org/W1967643758","https://openalex.org/W1977851207","https://openalex.org/W1984563492","https://openalex.org/W1985336094","https://openalex.org/W1987853271","https://openalex.org/W1997081029","https://openalex.org/W2093643423","https://openalex.org/W2104869985","https://openalex.org/W2328957782","https://openalex.org/W2514321391","https://openalex.org/W2525291384","https://openalex.org/W2551758879","https://openalex.org/W2604778075","https://openalex.org/W2614216270","https://openalex.org/W2761338899","https://openalex.org/W2763180815","https://openalex.org/W2763375416","https://openalex.org/W2765273006","https://openalex.org/W2770983174","https://openalex.org/W2782755290","https://openalex.org/W2795431618","https://openalex.org/W2883096224","https://openalex.org/W2885249296","https://openalex.org/W2895783439","https://openalex.org/W2910731002","https://openalex.org/W2911733589","https://openalex.org/W2912753047","https://openalex.org/W2920030711","https://openalex.org/W2945661351","https://openalex.org/W2951789698","https://openalex.org/W2954874690","https://openalex.org/W2999186831","https://openalex.org/W3019410579","https://openalex.org/W3021974960","https://openalex.org/W3024853581","https://openalex.org/W3026092354","https://openalex.org/W3033060502","https://openalex.org/W3035834877","https://openalex.org/W3062991227","https://openalex.org/W3080851842","https://openalex.org/W3083847148","https://openalex.org/W3102509250","https://openalex.org/W3128347922","https://openalex.org/W3177293401","https://openalex.org/W3190282915","https://openalex.org/W3205303854","https://openalex.org/W4205874162","https://openalex.org/W4226099334"],"related_works":["https://openalex.org/W4210897550","https://openalex.org/W1970319972","https://openalex.org/W2953254336","https://openalex.org/W2986378528","https://openalex.org/W3178345791","https://openalex.org/W2092661960","https://openalex.org/W1550854977","https://openalex.org/W4231055618","https://openalex.org/W2949211747","https://openalex.org/W3005742472"],"abstract_inverted_index":{"The":[0,48,64,87,209],"distribution":[1,58],"of":[2,23,81,131,155,216],"measurement":[3,56,83],"noise":[4,57,84],"applied":[5,185],"in":[6,106,170],"practical":[7],"power":[8,46,205],"system":[9,125],"state":[10,144],"estimation":[11,145],"(PSSE)":[12],"can":[13,139],"deviate":[14],"from":[15,157],"the":[16,21,29,55,72,79,92,101,114,122,127,132,141,172,182,187,194,204,214,217],"assumed":[17],"Gaussian":[18,30],"model,":[19],"and":[20,85,118,121,129,152,223],"performance":[22],"an":[24],"estimator":[25],"becomes":[26],"bad":[27,221],"if":[28],"model":[31,50,62],"is":[32,51,68,97,180,190],"still":[33],"used.":[34],"This":[35],"article":[36],"proposes":[37],"a":[38,107,199],"new":[39],"distributed":[40,66,103,109,134,162,196],"robust":[41,104,143,163],"PSSE":[42],"method":[43,67,105,164,189,219],"for":[44,186],"multiarea":[45],"systems.":[47],"non-Gaussian":[49,82],"utilized":[52],"to":[53,59,76,99,220],"fit":[54],"reach":[60],"high":[61],"accuracy.":[63],"proposed":[65,102,133,161,188,218],"derived":[69],"based":[70],"on":[71,113],"maximum":[73],"correntropy":[74],"criterion":[75],"further":[77],"reduce":[78],"impact":[80],"outliers.":[86],"influence":[88],"function":[89],"combined":[90],"with":[91],"finite-time":[93],"average":[94],"consensus":[95],"algorithm":[96],"used":[98],"implement":[100],"fully":[108],"manner.":[110],"Simulations":[111],"conducted":[112],"IEEE":[115],"30-bus,":[116],"118-bus":[117],"300-bus":[119],"systems":[120,206],"Polish":[123],"2383-bus":[124],"demonstrate":[126],"robustness":[128,215],"effectiveness":[130],"method.":[135],"Each":[136],"local":[137,150],"area":[138],"get":[140],"system-wide":[142],"solution":[146],"by":[147],"only":[148],"using":[149],"information":[151],"small":[153],"amounts":[154],"data":[156,222],"neighboring":[158],"areas.":[159],"Our":[160],"has":[165],"at":[166],"least":[167],"12%":[168],"improvement":[169],"reducing":[171],"mean":[173],"squared":[174],"error":[175],"under":[176],"Gaussian-Uniform":[177],"noise.":[178],"It":[179],"verified":[181],"communication":[183,201,224],"network":[184,202],"fairly":[191],"flexible":[192],"while":[193],"existing":[195],"approaches":[197],"use":[198],"fixed":[200],"when":[203],"are":[207],"partitioned.":[208],"simulation":[210],"results":[211],"also":[212],"verify":[213],"failure.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
