{"id":"https://openalex.org/W4309234558","doi":"https://doi.org/10.1109/ias54023.2022.9939854","title":"Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach","display_name":"Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309234558","doi":"https://doi.org/10.1109/ias54023.2022.9939854"},"language":"en","primary_location":{"id":"doi:10.1109/ias54023.2022.9939854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias54023.2022.9939854","pdf_url":null,"source":{"id":"https://openalex.org/S4363605619","display_name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037310822","display_name":"Mukesh Gautam","orcid":"https://orcid.org/0000-0003-0571-5825"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mukesh Gautam","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050740555","display_name":"Michael Abdelmalak","orcid":"https://orcid.org/0000-0001-5155-9136"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Abdelmalak","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041591596","display_name":"Mohammad MansourLakouraj","orcid":"https://orcid.org/0000-0001-5127-2098"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad MansourLakouraj","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000628175","display_name":"Mohammed Benidris","orcid":"https://orcid.org/0000-0002-8731-8913"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Benidris","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072772883","display_name":"Hanif Livani","orcid":"https://orcid.org/0000-0002-7043-2728"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanif Livani","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134113660"],"apc_list":null,"apc_paid":null,"fwci":4.4244,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96342683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9997000098228455,"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/T10454","display_name":"Optimal Power Flow Distribution","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/T10603","display_name":"Smart Grid Energy Management","score":0.9934999942779541,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8253539800643921},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.7469371557235718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.635253369808197},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5542327165603638},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5089826583862305},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4999678134918213},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48660123348236084},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4649820029735565},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4465065002441406},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44229844212532043},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4270438551902771},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3210933804512024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26581162214279175},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2337529957294464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17219454050064087},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1546335220336914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10218092799186707},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09102252125740051}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8253539800643921},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.7469371557235718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635253369808197},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5542327165603638},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5089826583862305},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4999678134918213},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48660123348236084},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4649820029735565},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4465065002441406},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44229844212532043},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4270438551902771},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3210933804512024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26581162214279175},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2337529957294464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17219454050064087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1546335220336914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10218092799186707},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09102252125740051},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/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/ias54023.2022.9939854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias54023.2022.9939854","pdf_url":null,"source":{"id":"https://openalex.org/S4363605619","display_name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W53087745","https://openalex.org/W2131579565","https://openalex.org/W2145761514","https://openalex.org/W2154713694","https://openalex.org/W2290410061","https://openalex.org/W2314240464","https://openalex.org/W2318920527","https://openalex.org/W2912447180","https://openalex.org/W2912652734","https://openalex.org/W2960876015","https://openalex.org/W2963730561","https://openalex.org/W2963864421","https://openalex.org/W2988319714","https://openalex.org/W3002957949","https://openalex.org/W3007865484","https://openalex.org/W3102098736","https://openalex.org/W3108288031","https://openalex.org/W4213069530","https://openalex.org/W4254356098","https://openalex.org/W4283819444","https://openalex.org/W4285815876","https://openalex.org/W6684921986"],"related_works":["https://openalex.org/W1981002473","https://openalex.org/W2357657342","https://openalex.org/W2153432761","https://openalex.org/W2152623100","https://openalex.org/W2142042635","https://openalex.org/W4214878056","https://openalex.org/W1580144672","https://openalex.org/W1988127757","https://openalex.org/W4248634784","https://openalex.org/W2103296973"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,48,164,173],"deep":[4],"reinforcement":[5,166],"learning":[6,167],"(DRL)-based":[7],"approach":[8,186],"for":[9,60,103,187],"optimal":[10,53,62,100,116],"Reconfiguration":[11],"of":[12,29,38,149,183],"Distribution":[13],"Networks":[14],"to":[15,34,67,94,97,134],"improve":[16],"their":[17],"Resilience":[18],"(R-DNR)":[19],"against":[20],"extreme":[21,150],"events":[22],"and":[23,51,76,84,92,181],"multiple":[24,141],"line":[25,142],"outages.":[26],"The":[27,42,65,125,152],"objective":[28],"the":[30,36,52,61,68,72,77,89,99,136,146,157,179,184],"proposed":[31,126,153,185],"framework":[32],"is":[33,45,56,163],"minimize":[35],"amount":[37],"critical":[39,137],"load":[40,138],"curtailments.":[41],"distribution":[43,175],"network":[44,54,101],"represented":[46],"as":[47],"graph":[49],"network,":[50],"configuration":[55,102,119],"obtained":[57],"by":[58],"searching":[59],"spanning":[63],"forest.":[64],"constraints":[66],"optimization":[69],"problem":[70],"are":[71],"radial":[73],"topology":[74],"constraint":[75],"power":[78],"balance":[79],"constraints.":[80],"Unlike":[81],"existing":[82],"analytical":[83],"population-based":[85],"approaches,":[86],"which":[87,162],"require":[88],"entire":[90],"analysis":[91],"computation":[93],"be":[95],"repeated":[96],"find":[98],"each":[104],"system":[105,122,147,177],"operating":[106],"state,":[107],"DRL-based":[108,154],"R-DNR,":[109],"once":[110],"properly":[111],"trained,":[112],"can":[113],"quickly":[114],"determine":[115],"or":[117],"near-optimal":[118],"even":[120],"when":[121,140],"states":[123],"change.":[124],"R-DNR":[127],"forms":[128],"microgrids":[129],"with":[130],"distributed":[131],"energy":[132],"resources":[133],"reduce":[135],"curtailment":[139],"outages":[143],"occur":[144],"in":[145],"because":[148],"events.":[151],"model":[155],"learns":[156],"action-value":[158],"function":[159],"utilizing":[160],"Q-learning,":[161],"model-free":[165],"technique.":[168],"A":[169],"case":[170],"study":[171],"on":[172],"33-node":[174],"test":[176],"demonstrates":[178],"effectiveness":[180],"efficacy":[182],"R-DNR.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
