{"id":"https://openalex.org/W4362714425","doi":"https://doi.org/10.1109/tsg.2023.3265398","title":"An Auto-Tuned Robust Dispatch Strategy for Virtual Power Plants to Provide Multi-Stage Real-Time Balancing Service","display_name":"An Auto-Tuned Robust Dispatch Strategy for Virtual Power Plants to Provide Multi-Stage Real-Time Balancing Service","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362714425","doi":"https://doi.org/10.1109/tsg.2023.3265398"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2023.3265398","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5101569335","display_name":"Nan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Gu","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004246683","display_name":"Jingshi Cui","orcid":"https://orcid.org/0000-0001-8768-5337"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingshi Cui","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014416228","display_name":"Chenye Wu","orcid":"https://orcid.org/0000-0002-5730-916X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenye Wu","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.404,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.40701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":"14","issue":"6","first_page":"4494","last_page":"4507"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":1.0,"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":1.0,"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":0.999,"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":0.9989,"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/robustness","display_name":"Robustness","score":0.6960897},{"id":"https://openalex.org/keywords/virtual-power-plant","display_name":"Virtual power plant","score":0.56815493},{"id":"https://openalex.org/keywords/setpoint","display_name":"Set point","score":0.5660258},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust Optimization","score":0.51160914}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6960897},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6305454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147421},{"id":"https://openalex.org/C2776033628","wikidata":"https://www.wikidata.org/wiki/Q785102","display_name":"Virtual power plant","level":4,"score":0.56815493},{"id":"https://openalex.org/C12302492","wikidata":"https://www.wikidata.org/wiki/Q1752097","display_name":"Setpoint","level":2,"score":0.5660258},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.51160914},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.48936695},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.41303664},{"id":"https://openalex.org/C544738498","wikidata":"https://www.wikidata.org/wiki/Q861135","display_name":"Distributed generation","level":3,"score":0.40931603},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.3387948},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3336283},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27819937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.081052125},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2023.3265398","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.89}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"72271213"},{"funder":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program","award_id":"JCYJ20220530143800001"},{"funder":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program","award_id":"RCYX20221008092927070"}],"datasets":[],"versions":[],"referenced_works_count":56,"referenced_works":["https://openalex.org/W1978282571","https://openalex.org/W1992055833","https://openalex.org/W2064068297","https://openalex.org/W2091260897","https://openalex.org/W2100197017","https://openalex.org/W2108434419","https://openalex.org/W2122700623","https://openalex.org/W2129516068","https://openalex.org/W2136013738","https://openalex.org/W2139651298","https://openalex.org/W2144011235","https://openalex.org/W2163183954","https://openalex.org/W2167987271","https://openalex.org/W2170736358","https://openalex.org/W2223849598","https://openalex.org/W2225094937","https://openalex.org/W2319929898","https://openalex.org/W2327685928","https://openalex.org/W2327688955","https://openalex.org/W2343206381","https://openalex.org/W2487144912","https://openalex.org/W2551152058","https://openalex.org/W2559178097","https://openalex.org/W2749664490","https://openalex.org/W2759186181","https://openalex.org/W2759481514","https://openalex.org/W2765806727","https://openalex.org/W2770330278","https://openalex.org/W2785111396","https://openalex.org/W2810250115","https://openalex.org/W2848500523","https://openalex.org/W2899639849","https://openalex.org/W2899771611","https://openalex.org/W2958786599","https://openalex.org/W2962926869","https://openalex.org/W2981603589","https://openalex.org/W2998187343","https://openalex.org/W2999441057","https://openalex.org/W3021563191","https://openalex.org/W3048259557","https://openalex.org/W3082760434","https://openalex.org/W3100027482","https://openalex.org/W3138334221","https://openalex.org/W3154072558","https://openalex.org/W3180983004","https://openalex.org/W3194480955","https://openalex.org/W3207078867","https://openalex.org/W4200131030","https://openalex.org/W4226248964","https://openalex.org/W4226353693","https://openalex.org/W4286579614","https://openalex.org/W4287991730","https://openalex.org/W4297783277","https://openalex.org/W4306882174","https://openalex.org/W4387010989","https://openalex.org/W656896077"],"related_works":["https://openalex.org/W4310823612","https://openalex.org/W2981338881","https://openalex.org/W2942888652","https://openalex.org/W2546709070","https://openalex.org/W2462816660","https://openalex.org/W2180949474","https://openalex.org/W2150748417","https://openalex.org/W2042050584","https://openalex.org/W2007208597","https://openalex.org/W175006096"],"abstract_inverted_index":{"To":[0],"fully":[1],"exploit":[2],"the":[3,16,29,57,61,64,70,82,85,94,134],"flexible":[4],"potential":[5],"of":[6,33,63,72,84,136,167],"distributed":[7],"energy":[8],"resources":[9],"(DERs)":[10],"in":[11,54,165],"providing":[12],"balancing":[13],"service":[14],"to":[15,27,56,80,108,132],"power":[17],"system,":[18],"Virtual":[19],"Power":[20],"Plants":[21],"(VPPs)":[22],"act":[23],"as":[24],"control":[25,114],"centers":[26],"conduct":[28],"optimal":[30],"real-time":[31],"dispatch":[32],"their":[34],"managed":[35],"DERs.":[36,74],"This":[37],"study":[38],"investigates":[39],"a":[40,47,77,99,110],"VPP's":[41],"auto-tuned":[42],"robust":[43,50],"policy":[44,115],"based":[45,126],"on":[46,127],"multi-stage":[48,95],"distributionally":[49],"optimization":[51,88,113,163],"model":[52],"(DRO)":[53],"response":[55],"uncertainties":[58],"from":[59],"both":[60],"setpoint":[62],"top-level":[65],"system":[66],"operator":[67],"(SO)":[68],"and":[69,104,148,170],"outputs":[71],"renewable":[73],"We":[75],"propose":[76],"concise":[78],"paradigm":[79],"reduce":[81],"complexity":[83],"original":[86],"large-scale":[87],"task.":[89],"Specifically,":[90],"we":[91],"first":[92],"cast":[93],"DRO":[96],"problem":[97],"into":[98],"dynamic":[100],"programming":[101],"(DP)":[102],"formulation":[103],"further":[105],"simplify":[106],"it":[107],"derive":[109],"single-stage":[111],"convex":[112],"(COCP)":[116],"at":[117],"each":[118],"time":[119],"stage.":[120],"Further,":[121],"an":[122],"automatic":[123],"update":[124],"method":[125,143],"implicit":[128],"differentiation":[129],"is":[130],"employed":[131],"tune":[133],"parameters":[135],"COCP.":[137],"Case":[138],"studies":[139],"show":[140],"that":[141],"this":[142],"ensures":[144],"higher":[145],"solution":[146],"quality":[147],"faster":[149],"convergence":[150],"during":[151],"training":[152],"than":[153],"conventional":[154],"tuning":[155],"methods.":[156],"The":[157],"proposed":[158],"COCP":[159],"outperforms":[160],"other":[161],"stochastic":[162],"techniques":[164],"terms":[166],"robustness,":[168],"efficiency,":[169],"computational":[171],"speed.":[172]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4362714425","counts_by_year":[{"year":2024,"cited_by_count":6}],"updated_date":"2025-01-20T06:50:40.245713","created_date":"2023-04-09"}