{"id":"https://openalex.org/W3125550366","doi":"https://doi.org/10.1109/jsyst.2020.3048817","title":"Hybrid Modeling Based Co-Optimization of Crew Dispatch and Distribution System Restoration Considering Multiple Uncertainties","display_name":"Hybrid Modeling Based Co-Optimization of Crew Dispatch and Distribution System Restoration Considering Multiple Uncertainties","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3125550366","doi":"https://doi.org/10.1109/jsyst.2020.3048817","mag":"3125550366"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2020.3048817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.3048817","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","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/A5080925435","display_name":"Jiayong Li","orcid":"https://orcid.org/0000-0003-1961-5796"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jiayong Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Department of Electrical and Computer Engineering, Southern Methodist University, TX, Dallas"],"raw_orcid":"https://orcid.org/0000-0003-1961-5796","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Southern Methodist University, TX, Dallas","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019296796","display_name":"Mohammad E. Khodayar","orcid":"https://orcid.org/0000-0003-3856-5704"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad E. Khodayar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-3856-5704","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036640994","display_name":"Mohammad Ramin Feizi","orcid":"https://orcid.org/0000-0002-7270-6518"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Ramin Feizi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-7270-6518","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2454,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92430045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"1278","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","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/T10454","display_name":"Optimal Power Flow Distribution","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/T10424","display_name":"Electric Power System Optimization","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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/expediting","display_name":"Expediting","score":0.72630375623703},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.584567666053772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5696506500244141},{"id":"https://openalex.org/keywords/column-generation","display_name":"Column generation","score":0.5559483170509338},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5045455694198608},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4944744110107422},{"id":"https://openalex.org/keywords/crew","display_name":"Crew","score":0.4840478301048279},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.4534164071083069},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4297913610935211},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.4250662922859192},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.39585080742836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3565477430820465}],"concepts":[{"id":"https://openalex.org/C134448949","wikidata":"https://www.wikidata.org/wiki/Q1384274","display_name":"Expediting","level":2,"score":0.72630375623703},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.584567666053772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5696506500244141},{"id":"https://openalex.org/C168956720","wikidata":"https://www.wikidata.org/wiki/Q3123181","display_name":"Column generation","level":2,"score":0.5559483170509338},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5045455694198608},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4944744110107422},{"id":"https://openalex.org/C2780179797","wikidata":"https://www.wikidata.org/wiki/Q345844","display_name":"Crew","level":2,"score":0.4840478301048279},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.4534164071083069},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4297913610935211},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.4250662922859192},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.39585080742836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3565477430820465},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2020.3048817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.3048817","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1871503553","display_name":"\u8003\u8651\u5206\u5e03\u5f0f\u80fd\u6e90\u5dee\u5f02\u6027\u548c\u9700\u6c42\u7075\u6d3b\u6027\u7684\u7535\u80fd\u5206\u7ea7\u4ea4\u6613\u673a\u5236\u3001\u6a21\u578b\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"51907056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8755849832","display_name":null,"funder_award_id":"ECCS-1710923","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W564048488","https://openalex.org/W1569990960","https://openalex.org/W2027050481","https://openalex.org/W2100197017","https://openalex.org/W2110554198","https://openalex.org/W2153623027","https://openalex.org/W2163143179","https://openalex.org/W2163707786","https://openalex.org/W2165076581","https://openalex.org/W2206956117","https://openalex.org/W2214527805","https://openalex.org/W2277817011","https://openalex.org/W2290410061","https://openalex.org/W2345095395","https://openalex.org/W2726498110","https://openalex.org/W2791488231","https://openalex.org/W2809282503","https://openalex.org/W2856171837","https://openalex.org/W2906021720","https://openalex.org/W2906041468","https://openalex.org/W2911917241","https://openalex.org/W2913490916","https://openalex.org/W2957344231","https://openalex.org/W2960876015","https://openalex.org/W2963149075","https://openalex.org/W2964340177","https://openalex.org/W2966617183","https://openalex.org/W3008171139","https://openalex.org/W3022614679","https://openalex.org/W3023841734","https://openalex.org/W3102098736"],"related_works":["https://openalex.org/W4293570283","https://openalex.org/W3015523332","https://openalex.org/W2890697010","https://openalex.org/W1996228459","https://openalex.org/W2745418069","https://openalex.org/W2978562669","https://openalex.org/W3089040801","https://openalex.org/W3212504317","https://openalex.org/W2127331687","https://openalex.org/W4323651160"],"abstract_inverted_index":{"Natural":[0],"disasters":[1],"could":[2],"lead":[3],"to":[4,12,38,81,88,97,131,142,159],"large-scale":[5],"power":[6],"outages":[7],"by":[8,207,218],"causing":[9],"severe":[10],"damages":[11],"distribution":[13,47],"networks":[14],"(DNs).":[15],"Developing":[16],"highly":[17],"efficient":[18],"outage":[19],"management":[20],"schemes":[21],"is":[22,36,67,74,96,115,129,140,157,205,216],"imperative":[23],"for":[24,101],"expediting":[25],"service":[26],"restoration.":[27,49],"To":[28,57],"this":[29],"end,":[30],"a":[31,62,77,118,125,133,222],"novel":[32,63],"multistage":[33],"co-optimization":[34],"model":[35],"proposed":[37,189,224],"seamlessly":[39],"integrate":[40],"the":[41,46,71,83,89,99,105,122,143,161,177,184,188,194,201,210,213],"repair":[42,112],"crew":[43,84,108],"dispatch":[44],"with":[45,221],"system":[48],"Furthermore,":[50],"multiple":[51],"sources":[52],"of":[53,91,136,146,187,212],"uncertainties":[54,106],"are":[55],"incorporated.":[56],"properly":[58],"handle":[59],"these":[60],"uncertainties,":[61],"hybrid":[64],"modeling":[65],"approach":[66],"developed.":[68],"In":[69,121],"particular,":[70],"first":[72],"stage":[73,95],"cast":[75],"as":[76,117],"deterministic":[78],"optimization":[79,127],"problem":[80],"determine":[82],"route":[85],"option":[86],"prior":[87],"realization":[90],"uncertainties.":[92],"The":[93],"second":[94],"reconfigure":[98],"DN":[100,181],"forming":[102],"multimicrogrids":[103],"considering":[104],"in":[107],"travel":[109],"time":[110],"and":[111,149,167,170,197,209],"time,":[113],"which":[114],"formulated":[116],"stochastic":[119],"program.":[120],"third":[123],"stage,":[124],"robust":[126],"framework":[128],"applied":[130],"acquire":[132],"scheduling":[134],"plan":[135],"various":[137],"DERs":[138],"that":[139,183,200],"immune":[141],"worst-case":[144],"realizations":[145],"electricity":[147],"demand":[148,203],"photovoltaic":[150],"generation.":[151],"Finally,":[152],"an":[153],"advanced":[154],"solution":[155,190],"method":[156,191],"devised":[158],"achieve":[160],"computational":[162],"tractability":[163],"based":[164],"on":[165,176],"constraint":[166],"column":[168],"generation":[169],"progressive":[171],"hedging":[172],"approaches.":[173],"Numerical":[174],"tests":[175],"modified":[178],"IEEE":[179],"37-bus":[180],"show":[182],"computation":[185],"performance":[186],"well":[192],"fits":[193],"real-time":[195],"application":[196],"also":[198],"demonstrate":[199],"highest":[202],"curtailment":[204],"reduced":[206],"3.3%":[208],"variance":[211],"restoration":[214],"outcome":[215],"lowered":[217],"40.5%":[219],"compared":[220],"recently":[223],"benchmark.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}