{"id":"https://openalex.org/W3197274802","doi":"https://doi.org/10.1109/tnnls.2021.3105668","title":"Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids\u2019 System via a Novel Reinforcement Learning Approach","display_name":"Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids\u2019 System via a Novel Reinforcement Learning Approach","publication_year":2021,"publication_date":"2021-08-31","ids":{"openalex":"https://openalex.org/W3197274802","doi":"https://doi.org/10.1109/tnnls.2021.3105668","mag":"3197274802","pmid":"https://pubmed.ncbi.nlm.nih.gov/34464272"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3105668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3105668","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":true,"oa_status":"green","oa_url":"https://eprints.whiterose.ac.uk/177121/1/IEEE-TNNLS-2021-main-accepted%2014-Aug-2021.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100761458","display_name":"Huifeng Zhang","orcid":"https://orcid.org/0000-0003-1154-3986"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Zhang","raw_affiliation_strings":["Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1154-3986","affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727487","display_name":"Dong Yue","orcid":"https://orcid.org/0000-0001-7810-9338"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yue","raw_affiliation_strings":["Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7810-9338","affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052769076","display_name":"Chunxia Dou","orcid":"https://orcid.org/0000-0002-8714-655X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Dou","raw_affiliation_strings":["Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8714-655X","affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066409796","display_name":"Xiangpeng Xie","orcid":"https://orcid.org/0000-0003-4822-3134"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangpeng Xie","raw_affiliation_strings":["Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4822-3134","affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456957","display_name":"Kang Li","orcid":"https://orcid.org/0000-0001-6657-0522"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6657-0522","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112682331","display_name":"Gerhardus P. Hancke","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["CN","ZA"],"is_corresponding":false,"raw_author_name":"Gerhardus P. Hancke","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","Department of Computer Engineering, University of Pretoria, Pretoria, South Africa"],"raw_orcid":"https://orcid.org/0000-0002-4026-687X","affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Department of Computer Engineering, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3392,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95136224,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":"4","first_page":"1921","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9983999729156494,"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":0.9983999729156494,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9945999979972839,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7947291135787964},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.6232022047042847},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5164137482643127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046974420547485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45472633838653564},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22964540123939514},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.12071141600608826}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7947291135787964},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.6232022047042847},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5164137482643127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046974420547485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45472633838653564},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22964540123939514},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.12071141600608826}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2021.3105668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3105668","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:34464272","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34464272","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},{"id":"pmh:oai:eprints.whiterose.ac.uk:177121","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.whiterose.ac.uk/177121/1/IEEE-TNNLS-2021-main-accepted%2014-Aug-2021.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.up.ac.za:2263/90180","is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/90180","pdf_url":"https://repository.up.ac.za/bitstream/2263/90180/1/Zhang_Resilient_2023.pdf","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Postprint Article"}],"best_oa_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:177121","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.whiterose.ac.uk/177121/1/IEEE-TNNLS-2021-main-accepted%2014-Aug-2021.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G451589156","display_name":null,"funder_award_id":"2018YFA0702200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197274802.pdf","grobid_xml":"https://content.openalex.org/works/W3197274802.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2070257229","https://openalex.org/W2093806266","https://openalex.org/W2164278908","https://openalex.org/W2194706095","https://openalex.org/W2277817011","https://openalex.org/W2311429702","https://openalex.org/W2343419487","https://openalex.org/W2343913070","https://openalex.org/W2404263528","https://openalex.org/W2549766222","https://openalex.org/W2559148274","https://openalex.org/W2563613408","https://openalex.org/W2571088323","https://openalex.org/W2580722401","https://openalex.org/W2607845345","https://openalex.org/W2616650140","https://openalex.org/W2782267877","https://openalex.org/W2784092749","https://openalex.org/W2790306973","https://openalex.org/W2908643158","https://openalex.org/W2908732234","https://openalex.org/W2915048479","https://openalex.org/W2924906422","https://openalex.org/W2945367416","https://openalex.org/W2962779619","https://openalex.org/W2963153627","https://openalex.org/W2970718149","https://openalex.org/W2971232046","https://openalex.org/W2977500444","https://openalex.org/W3008299449","https://openalex.org/W3024952177","https://openalex.org/W3093742821","https://openalex.org/W3135527034","https://openalex.org/W3175457831"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856"],"abstract_inverted_index":{"With":[0],"consideration":[1],"of":[2,50,57,102,134,163],"false":[3],"data":[4],"injection":[5],"(FDI)":[6],"on":[7,192],"the":[8,17,22,45,58,71,75,84,88,96,115,119,132,139,174],"demand":[9],"side,":[10],"it":[11,171],"brings":[12],"a":[13,36,182],"great":[14],"challenge":[15],"for":[16,44,108,187],"optimal":[18,47,177],"defensive":[19,48,178],"strategy":[20,49,92,179],"with":[21,111,157],"security":[23,89,135],"issue,":[24],"voltage":[25,159],"stability,":[26],"power":[27],"flow,":[28],"and":[29,74,87,118,123,126,153,161,184],"economic":[30,151],"cost":[31,152],"indexes.":[32],"This":[33],"article":[34],"proposes":[35],"Takagi-Sugeuo-Kang":[37],"(TSK)":[38],"fuzzy":[39],"system-based":[40],"reinforcement":[41],"learning":[42],"approach":[43],"resilient":[46,176],"interconnected":[51,193],"microgrids.":[52,194],"Due":[53],"to":[54,69,149,168],"FDI":[55],"uncertainty":[56],"system":[59],"load,":[60],"TSK-based":[61],"deep":[62],"deterministic":[63],"policy":[64,109],"gradient":[65,110],"(DDPG)":[66],"is":[67,93,106,147],"proposed":[68,175],"learn":[70],"actor":[72,97,116],"network":[73,117,121],"critic":[76,85,120],"network,":[77,86],"where":[78],"multiple":[79],"indexes'":[80],"assessment":[81],"occurs":[82],"in":[83,95],"switching":[90,136],"control":[91,137],"made":[94],"network.":[98],"Alternating":[99],"direction":[100],"method":[101,105,146],"multipliers":[103],"(ADMM)":[104],"improved":[107],"online":[112],"coordination":[113],"between":[114],"learning,":[122],"its":[124],"convergence":[125],"optimality":[127],"are":[128],"proved":[129],"properly.":[130],"On":[131],"basis":[133],"strategy,":[138],"penalty-based":[140],"boundary":[141],"intersection":[142],"(PBI)-based":[143],"multiobjective":[144],"optimization":[145],"utilized":[148],"solve":[150],"emission":[154],"issues":[155],"simultaneously":[156],"considering":[158],"stability":[160],"rate-of-change":[162],"frequency":[164],"(RoCoF)":[165],"limits.":[166],"According":[167],"simulation":[169],"results,":[170],"reveals":[172],"that":[173],"can":[180],"be":[181],"viable":[183],"promising":[185],"alternative":[186],"tackling":[188],"uncertain":[189],"attack":[190],"problems":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}