{"id":"https://openalex.org/W4286373845","doi":"https://doi.org/10.1109/access.2022.3192538","title":"Parameter Identification of SVG Using Multilayer Coarse-to-Fine Grid Searching and Particle Swarm Optimization","display_name":"Parameter Identification of SVG Using Multilayer Coarse-to-Fine Grid Searching and Particle Swarm Optimization","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4286373845","doi":"https://doi.org/10.1109/access.2022.3192538"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192538","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09833502.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09833502.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051616105","display_name":"Huimin Gao","orcid":"https://orcid.org/0000-0001-9879-8572"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Gao","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, No 2, 3rd street, Qiantang District, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, No 2, 3rd street, Qiantang District, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085091132","display_name":"Ruisheng Diao","orcid":"https://orcid.org/0000-0002-0336-4761"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruisheng Diao","raw_affiliation_strings":["ZJU-UIUC Institute, Zhejiang University, Haining, China"],"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043855304","display_name":"Zhuo Huang","orcid":"https://orcid.org/0000-0001-9198-4778"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Huang","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, No 2, 3rd street, Qiantang District, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, No 2, 3rd street, Qiantang District, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667721","display_name":"Yi Zhong","orcid":"https://orcid.org/0000-0002-6260-9781"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhong","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, No 2, 3rd street, Qiantang District, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, No 2, 3rd street, Qiantang District, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102327669","display_name":"Yanfang Mao","orcid":null},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfang Mao","raw_affiliation_strings":["State Grid Nantong Electric Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Nantong Electric Power Supply Company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101980012","display_name":"Wenbin Tang","orcid":"https://orcid.org/0000-0002-6842-6505"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Tang","raw_affiliation_strings":["State Grid Nantong Electric Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Nantong Electric Power Supply Company, China","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":0.181,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":1,"citation_normalized_percentile":{"value":0.416041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":70},"biblio":{"volume":"10","issue":null,"first_page":"77137","last_page":"77146"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9997,"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":0.9997,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10305","display_name":"Power System Optimization and Stability","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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalable-vector-graphics","display_name":"Scalable Vector Graphics","score":0.7788107},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.5674051}],"concepts":[{"id":"https://openalex.org/C202629362","wikidata":"https://www.wikidata.org/wiki/Q2078","display_name":"Scalable Vector Graphics","level":2,"score":0.7788107},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7227904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65165997},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.61374307},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5674051},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48047557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33053347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13301662},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.13155204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.124914974},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192538","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09833502.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/cf0f9409714843e5aa7d8379117104b3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192538","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09833502.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.89}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"U2166211"},{"funder":"https://openalex.org/F4320321935","funder_display_name":"Hangzhou Dianzi University","award_id":"KYP012201"},{"funder":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province","award_id":"LQY19E070001"}],"datasets":[],"versions":[],"referenced_works_count":7,"referenced_works":["https://openalex.org/W2116643691","https://openalex.org/W2137927105","https://openalex.org/W3083200846","https://openalex.org/W3195932881","https://openalex.org/W3196779983","https://openalex.org/W3198320441","https://openalex.org/W3202793356"],"related_works":["https://openalex.org/W3183425535","https://openalex.org/W2394137533","https://openalex.org/W2393464257","https://openalex.org/W2387643967","https://openalex.org/W2385461408","https://openalex.org/W2362190996","https://openalex.org/W2358969090","https://openalex.org/W2354624479","https://openalex.org/W2352713710","https://openalex.org/W2119089902"],"abstract_inverted_index":{"Accurate":[0],"model":[1,64,93,109],"parameters":[2,65],"of":[3,17,23,35,137],"Static":[4],"Var":[5],"Generator":[6],"(SVG)":[7],"play":[8],"an":[9],"essential":[10],"role":[11],"in":[12],"regulating":[13],"bus":[14],"voltage":[15],"profiles":[16],"power":[18],"grid":[19,57,115],"with":[20,85],"increased":[21],"penetration":[22],"renewable":[24],"energy":[25],"under":[26,79],"various":[27,80],"contingencies.":[28],"Aiming":[29],"at":[30],"addressing":[31],"the":[32,45,122,141,146,151,162],"known":[33],"issues":[34],"low":[36],"identification":[37,49,136,142,148,166],"accuracy":[38,170],"and":[39,150,171],"long":[40],"computation":[41],"time":[42],"faced":[43],"by":[44,145],"traditional":[46,147],"SVG":[47,62],"parameter":[48,123,165],"methods,":[50],"this":[51],"paper":[52],"presents":[53],"a":[54,112],"multi-layer":[55,113],"coarse-to-fine":[56,114,164],"searching":[58,116,124],"approach":[59,153],"for":[60,92,133],"calibrating":[61],"dynamic":[63],"using":[66,102],"particle":[67,127],"swarm":[68,128],"optimization.":[69],"First,":[70],"actual":[71],"measurement":[72],"data":[73],"is":[74,83,100,118,131,159],"collected":[75],"through":[76],"SVG-RTDS":[77],"testbeds":[78],"conditions,":[81],"which":[82],"compared":[84],"transient":[86],"stability":[87],"simulation":[88],"results":[89,143],"to":[90,105,120],"check":[91],"accuracy.":[94],"Then,":[95],"nonlinear":[96],"trajectory":[97],"sensitivity":[98],"analysis":[99],"performed":[101],"segmented":[103],"curves":[104],"identify":[106],"potential":[107],"bad":[108],"parameters.":[110,138],"Next,":[111],"mechanism":[117],"used":[119,132],"narrow":[121],"space,":[125],"before":[126],"algorithm":[129],"optimization":[130],"more":[134],"precise":[135],"By":[139],"comparing":[140],"obtained":[144],"methods":[149],"proposed":[152,163],"via":[154],"comprehensive":[155],"case":[156],"studies,":[157],"it":[158],"found":[160],"that":[161],"method":[167],"achieved":[168],"higher":[169],"faster":[172],"computational":[173],"speed.":[174]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4286373845","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-18T18:16:31.737819","created_date":"2022-07-21"}