{"id":"https://openalex.org/W4415482701","doi":"https://doi.org/10.1109/tnnls.2025.3617113","title":"Deep Reinforcement Learning for Online Reconfiguration of Active Distribution Network","display_name":"Deep Reinforcement Learning for Online Reconfiguration of Active Distribution Network","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415482701","doi":"https://doi.org/10.1109/tnnls.2025.3617113","pmid":"https://pubmed.ncbi.nlm.nih.gov/41129460"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3617113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3617113","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5052445417","display_name":"Guokai Hao","orcid":"https://orcid.org/0000-0001-6409-1958"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guokai Hao","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010845083","display_name":"Yuanzheng Li","orcid":"https://orcid.org/0000-0001-8052-1233"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzheng Li","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Electrical Engineering, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421591","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-6515-4567"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Electrical Engineering, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101024356","display_name":"Yunfeng Luo","orcid":"https://orcid.org/0009-0007-9167-7517"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Luo","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062440795","display_name":"Mohammad Shahidehpour","orcid":"https://orcid.org/0000-0002-8994-1688"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Shahidehpour","raw_affiliation_strings":["Robert W. Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Robert W. Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081245089","display_name":"Zhigang Zeng","orcid":"https://orcid.org/0000-0003-4587-3588"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Zeng","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052445417"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.8194,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80042435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"37","issue":"3","first_page":"1248","last_page":"1262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9667999744415283,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9667999744415283,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9408000111579895,"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9140999913215637,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7232999801635742},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.67330002784729},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.5267999768257141},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4397999942302704},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.43700000643730164},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3790999948978424},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.35010001063346863},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.3395000100135803}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7232999801635742},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.67330002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6306999921798706},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.5267999768257141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4740999937057495},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42800000309944153},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33379998803138733},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29120001196861267},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C2780490138","wikidata":"https://www.wikidata.org/wiki/Q7079636","display_name":"Offline learning","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2547999918460846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3617113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3617113","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:41129460","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41129460","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,22,209],"operation":[1],"and":[2,31,41,85,107,111,231,241],"control":[3],"of":[4,18,25,33,44,158,177,224,250],"active":[5],"distribution":[6],"networks":[7],"(ADNs)":[8],"are":[9],"becoming":[10],"increasingly":[11],"important":[12],"due":[13],"to":[14,60,64,91,100,172,200,214],"the":[15,29,38,45,77,93,104,108,122,141,155,159,174,180,185,206,222,246],"high":[16,46],"penetration":[17,48],"renewable":[19],"energy":[20],"(RE).":[21],"inherent":[23,39],"uncertainty":[24,40],"RE":[26,47,65,233],"can":[27],"affect":[28],"stability":[30],"efficiency":[32],"ADN":[34,56,89,217],"operations.":[35],"To":[36,125],"mitigate":[37],"rapid":[42],"variability":[43],"in":[49,114,121,205,227],"ADNs,":[50],"this":[51,96,127,129],"article":[52,130],"uses":[53],"an":[54,132],"online":[55,137,207],"reconfiguration":[57],"(ADNR)":[58],"approach":[59,97,211,226],"ensure":[61],"swift":[62],"responses":[63],"fluctuations.":[66],"Unlike":[67],"traditional":[68,242],"deep":[69],"reinforcement":[70],"learning":[71],"(DRL)-based":[72],"methods,":[73],"which":[74,153,193],"typically":[75],"model":[76],"ADNR":[78,110,144,243],"as":[79,147],"a":[80,101,148,163],"Markov":[81,150],"decision":[82,151],"process":[83],"(MDP)":[84],"rely":[86],"on":[87,198],"historical":[88],"data":[90],"train":[92],"DRL":[94,134,203,240],"agent,":[95],"may":[98],"lead":[99],"mismatch":[102],"between":[103],"MDP's":[105],"characteristics":[106,157],"actual":[109],"pose":[112],"challenges":[113],"handling":[115],"scenarios":[116],"that":[117],"do":[118],"not":[119],"exist":[120],"training":[123,196],"data.":[124],"address":[126],"issue,":[128],"proposes":[131],"online-offline":[133],"framework":[135],"for":[136],"ADNR.":[138],"Initially,":[139],"during":[140],"offline":[142],"stage,":[143],"is":[145,170,212],"formulated":[146],"state-driven":[149,164],"process,":[152],"incorporates":[154],"operational":[156],"ADN.":[160],"Following":[161],"this,":[162],"proximal":[165,188],"policy":[166,189],"optimization":[167,190],"(SD-PPO)":[168],"algorithm":[169],"proposed":[171,210,252],"enhance":[173],"generalization":[175],"capability":[176],"DRL.":[178],"In":[179],"subsequent":[181],"step,":[182],"we":[183],"present":[184],"optimized":[186],"action":[187],"(OA-PPO)":[191],"algorithm,":[192],"performs":[194],"personalized":[195],"based":[197],"SD-PPO":[199],"further":[201],"improve":[202],"performance":[204,249],"stage.":[208],"applied":[213],"three":[215],"IEEE":[216],"systems.":[218],"Numerical":[219],"results":[220],"demonstrate":[221],"effectiveness":[223],"our":[225,251],"reducing":[228],"power":[229],"loss":[230],"enhancing":[232],"accommodation.":[234],"Furthermore,":[235],"detailed":[236],"comparisons":[237],"with":[238],"other":[239],"algorithms":[244],"confirm":[245],"superior":[247],"computational":[248],"method.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-24T00:00:00"}