{"id":"https://openalex.org/W2604280055","doi":"https://doi.org/10.1109/jas.2017.7510505","title":"Grid integration of wind generation considering remote wind farms: hybrid markovian and interval unit commitment","display_name":"Grid integration of wind generation considering remote wind farms: hybrid markovian and interval unit commitment","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2604280055","doi":"https://doi.org/10.1109/jas.2017.7510505","mag":"2604280055"},"language":"en","primary_location":{"id":"doi:10.1109/jas.2017.7510505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2017.7510505","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","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/A5001651510","display_name":"Bing Yan","orcid":"https://orcid.org/0000-0002-0126-5524"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bing Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024971082","display_name":"Haipei Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haipei Fan","raw_affiliation_strings":["University of Connecticut, Storrs, CT 06269-4157, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT 06269-4157, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070935042","display_name":"Peter B. Luh","orcid":"https://orcid.org/0000-0002-5158-7388"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter B. Luh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065341023","display_name":"K. Moslehi","orcid":"https://orcid.org/0000-0002-6964-9145"},"institutions":[{"id":"https://openalex.org/I2948539688","display_name":"AbbVie (United States)","ror":"https://ror.org/02g5p4n58","country_code":"US","type":"company","lineage":["https://openalex.org/I2948539688"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khosrow Moslehi","raw_affiliation_strings":["ABB Inc., San Jose, CA 95134, USA"],"affiliations":[{"raw_affiliation_string":"ABB Inc., San Jose, CA 95134, USA","institution_ids":["https://openalex.org/I2948539688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559803","display_name":"Xiaoming Feng","orcid":"https://orcid.org/0000-0002-7743-0952"},"institutions":[{"id":"https://openalex.org/I2948539688","display_name":"AbbVie (United States)","ror":"https://ror.org/02g5p4n58","country_code":"US","type":"company","lineage":["https://openalex.org/I2948539688"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoming Feng","raw_affiliation_strings":["ABB Inc., Raleigh, NC 27606, USA"],"affiliations":[{"raw_affiliation_string":"ABB Inc., Raleigh, NC 27606, USA","institution_ids":["https://openalex.org/I2948539688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055647698","display_name":"Chien Ning Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I2948539688","display_name":"AbbVie (United States)","ror":"https://ror.org/02g5p4n58","country_code":"US","type":"company","lineage":["https://openalex.org/I2948539688"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chien Ning Yu","raw_affiliation_strings":["ABB Inc., San Jose, CA 95134, USA"],"affiliations":[{"raw_affiliation_string":"ABB Inc., San Jose, CA 95134, USA","institution_ids":["https://openalex.org/I2948539688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023766412","display_name":"Mikhail A. Bragin","orcid":"https://orcid.org/0000-0002-7783-9053"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikhail A. Bragin","raw_affiliation_strings":["the Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157, USA"],"affiliations":[{"raw_affiliation_string":"the Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023147625","display_name":"Yaowen Yu","orcid":"https://orcid.org/0000-0002-6756-3321"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaowen Yu","raw_affiliation_strings":["ABB Enterprise Software, San Jose, CA 95134, USA"],"affiliations":[{"raw_affiliation_string":"ABB Enterprise Software, San Jose, CA 95134, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5001651510"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.7167,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71937899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"2","first_page":"205","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9994999766349792,"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/T10424","display_name":"Electric Power System Optimization","score":0.9994999766349792,"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":0.9941999912261963,"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/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9868999719619751,"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/interval","display_name":"Interval (graph theory)","score":0.7245728969573975},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6591967344284058},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6301369667053223},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5848138332366943},{"id":"https://openalex.org/keywords/power-system-simulation","display_name":"Power system simulation","score":0.5820075869560242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5656092166900635},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.5359274744987488},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.44178661704063416},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.42660874128341675},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.4236019253730774},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4137156307697296},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3508552610874176},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.30288922786712646},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.22013968229293823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21657979488372803},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19063585996627808},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11098641157150269},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10669991374015808}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.7245728969573975},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6591967344284058},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6301369667053223},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5848138332366943},{"id":"https://openalex.org/C116219307","wikidata":"https://www.wikidata.org/wiki/Q7236625","display_name":"Power system simulation","level":4,"score":0.5820075869560242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5656092166900635},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.5359274744987488},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.44178661704063416},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.42660874128341675},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.4236019253730774},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4137156307697296},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3508552610874176},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.30288922786712646},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.22013968229293823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21657979488372803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19063585996627808},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11098641157150269},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10669991374015808},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2017.7510505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2017.7510505","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1652336699","https://openalex.org/W1912607387","https://openalex.org/W1966925146","https://openalex.org/W1968231036","https://openalex.org/W2000963072","https://openalex.org/W2012586594","https://openalex.org/W2033225140","https://openalex.org/W2059792929","https://openalex.org/W2062445553","https://openalex.org/W2063075683","https://openalex.org/W2067108585","https://openalex.org/W2068856775","https://openalex.org/W2074104008","https://openalex.org/W2110550129","https://openalex.org/W2110554198","https://openalex.org/W2116740585","https://openalex.org/W2121275441","https://openalex.org/W2152282461","https://openalex.org/W2154655848","https://openalex.org/W2159613153"],"related_works":["https://openalex.org/W2125297997","https://openalex.org/W2075228635","https://openalex.org/W2057741712","https://openalex.org/W2528441331","https://openalex.org/W2069279462","https://openalex.org/W4250815651","https://openalex.org/W2065293590","https://openalex.org/W2112432958","https://openalex.org/W2127107089","https://openalex.org/W2113568994"],"abstract_inverted_index":{"Grid":[0],"integration":[1,178],"of":[2,16,20,42,55,100,139,167,179,196,198],"wind":[3,49,56,80,127,140],"power":[4,40],"is":[5,45,74,129,172],"essential":[6],"to":[7,47,51,59,95,111,135,154],"reduce":[8,60],"fossil":[9],"fuel":[10],"usage":[11],"but":[12],"challenging":[13],"in":[14,85,105,114],"view":[15],"the":[17,32,53,76,106,137,199],"intermittent":[18],"nature":[19],"wind.":[21],"Recently,":[22],"we":[23],"developed":[24],"a":[25,132,163,176],"hybrid":[26],"Markovian":[27],"and":[28,35,63,88,102,119,148,185,193],"interval":[29,69],"approach":[30,73],"for":[31],"unit":[33,134],"commitment":[34],"economic":[36],"dispatch":[37],"problem":[38,171],"where":[39],"generation":[41],"conventional":[43,92,133],"units":[44,93],"linked":[46],"local":[48],"states":[50,65,104],"dampen":[52,136],"effects":[54,138],"uncertainties.":[57],"Also,":[58],"complexity,":[61],"extreme":[62,101],"expected":[64,103],"are":[66,82,109,151,160],"considered":[67],"as":[68],"modeling.":[70],"Although":[71],"this":[72,123],"effective,":[75],"fact":[77],"that":[78],"major":[79],"farms":[81],"often":[83],"located":[84],"remote":[86,126],"locations":[87],"not":[89],"accompanied":[90],"by":[91,174],"leads":[94],"conservative":[96],"results.":[97],"Furthermore,":[98],"weights":[99,159],"objective":[107],"function":[108],"difficult":[110],"tune,":[112],"resulting":[113],"significant":[115,194],"differences":[116],"between":[117],"optimization":[118],"simulation":[120],"costs.":[121],"In":[122],"paper,":[124],"each":[125],"farm":[128],"paired":[130],"with":[131],"uncertainties":[141],"without":[142],"using":[143,175],"expensive":[144],"utility-scaled":[145],"battery":[146],"storage,":[147],"extra":[149],"constraints":[150],"innovatively":[152],"established":[153],"model":[155],"pairing.":[156],"Additionally,":[157],"proper":[158],"derived":[161],"through":[162],"novel":[164],"quadratic":[165],"fit":[166],"cost":[168],"functions.":[169],"The":[170],"solved":[173],"creative":[177],"our":[180],"recent":[181],"surrogate":[182],"Lagrangian":[183],"relaxation":[184],"branch-and-cut.":[186],"Results":[187],"demonstrate":[188],"modeling":[189],"accuracy,":[190],"computational":[191],"efficiency,":[192],"reduction":[195],"conservativeness":[197],"previous":[200],"approach.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
