{"id":"https://openalex.org/W4408281557","doi":"https://doi.org/10.1109/iecon55916.2024.10905298","title":"Transient Stability Enhancement via a Scalable RL Method with VSG Parameter Tuning","display_name":"Transient Stability Enhancement via a Scalable RL Method with VSG Parameter Tuning","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281557","doi":"https://doi.org/10.1109/iecon55916.2024.10905298"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-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/A5080550965","display_name":"Xiaoge Huang","orcid":"https://orcid.org/0000-0001-5074-5674"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaoge Huang","raw_affiliation_strings":["Binghamton University - SUNY,Department of Electrical and Computer Engineering,Binghamton,U.S.A"],"affiliations":[{"raw_affiliation_string":"Binghamton University - SUNY,Department of Electrical and Computer Engineering,Binghamton,U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020551506","display_name":"Ziang Zhang","orcid":"https://orcid.org/0000-0003-1240-5710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziang Zhang","raw_affiliation_strings":["Binghamton University - SUNY,Department of Electrical and Computer Engineering,Binghamton,U.S.A"],"affiliations":[{"raw_affiliation_string":"Binghamton University - SUNY,Department of Electrical and Computer Engineering,Binghamton,U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005124389","display_name":"Shufan Wang","orcid":"https://orcid.org/0000-0003-0029-8428"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shufan Wang","raw_affiliation_strings":["Stony Brook University Stony Brook,AMS Department, CS Department,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University Stony Brook,AMS Department, CS Department,USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602299","display_name":"Jian Li","orcid":"https://orcid.org/0000-0001-8783-6000"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Stony Brook University Stony Brook,AMS Department, CS Department,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University Stony Brook,AMS Department, CS Department,USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080550965"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.294,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59797438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9878000020980835,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/scalability","display_name":"Scalability","score":0.6881596446037292},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6772478818893433},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.599162220954895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5827797651290894},{"id":"https://openalex.org/keywords/transient-analysis","display_name":"Transient analysis","score":0.5053358674049377},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.4420813024044037},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3802909255027771},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3490166664123535},{"id":"https://openalex.org/keywords/transient-response","display_name":"Transient response","score":0.2365214228630066},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17773324251174927},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13561636209487915},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11466717720031738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07185095548629761}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6881596446037292},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6772478818893433},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.599162220954895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827797651290894},{"id":"https://openalex.org/C2989121073","wikidata":"https://www.wikidata.org/wiki/Q1309019","display_name":"Transient analysis","level":3,"score":0.5053358674049377},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4420813024044037},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3802909255027771},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3490166664123535},{"id":"https://openalex.org/C85761212","wikidata":"https://www.wikidata.org/wiki/Q1974593","display_name":"Transient response","level":2,"score":0.2365214228630066},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17773324251174927},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13561636209487915},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11466717720031738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07185095548629761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337712","display_name":"Solar Energy Technologies Office","ror":"https://ror.org/033jmdj81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2109725430","https://openalex.org/W2349066742","https://openalex.org/W2548949292","https://openalex.org/W2918858741","https://openalex.org/W2952105605","https://openalex.org/W2966492573","https://openalex.org/W3053676525","https://openalex.org/W4312711733","https://openalex.org/W4321234742","https://openalex.org/W4367280629","https://openalex.org/W4383748306","https://openalex.org/W4385225239","https://openalex.org/W4387005867","https://openalex.org/W6798240405"],"related_works":["https://openalex.org/W2758798772","https://openalex.org/W2081338125","https://openalex.org/W4406350055","https://openalex.org/W4239924455","https://openalex.org/W2001630809","https://openalex.org/W4244925124","https://openalex.org/W2377879397","https://openalex.org/W1577327694","https://openalex.org/W2887517211","https://openalex.org/W1909312109"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27,40,82],"reinforcement":[4],"learning":[5],"(RL)-driven":[6],"strategy":[7],"to":[8,30,86],"improve":[9],"the":[10,54,71,88,94],"transient":[11],"stability":[12],"of":[13,19,43,57,76],"power":[14],"systems":[15],"via":[16],"tuning":[17],"parameters":[18],"multiple":[20,60],"virtual":[21],"synchronous":[22],"generators":[23],"(VSGs).":[24],"We":[25],"proposed":[26,48,97],"scalable":[28,49],"method":[29,98],"support":[31],"RL":[32,50,89],"training":[33,66],"convergence":[34],"probability":[35],"and":[36,62,74,92],"speed,":[37],"even":[38],"when":[39],"large":[41,55],"number":[42,56],"contingencies":[44,58],"are":[45],"considered.":[46],"The":[47,96],"framework":[51],"first":[52],"decomposes":[53],"into":[59],"groups":[61],"then":[63],"conducts":[64],"parallel":[65],"for":[67],"each":[68,77],"group,":[69],"decreasing":[70],"state":[72],"space":[73,91],"complexity":[75],"training.":[78,95],"Additionally,":[79],"we":[80],"propose":[81],"contingency":[83],"grouping":[84],"algorithm":[85],"streamline":[87],"action":[90],"facilitate":[93],"is":[99],"validated":[100],"across":[101],"various":[102],"standard":[103],"test":[104],"systems.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
