{"id":"https://openalex.org/W2589549811","doi":"https://doi.org/10.1109/icmlc.2016.7860890","title":"A novel probabilistic approach for evaluating fault ride-through capability of wind generation","display_name":"A novel probabilistic approach for evaluating fault ride-through capability of wind generation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2589549811","doi":"https://doi.org/10.1109/icmlc.2016.7860890","mag":"2589549811"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2016.7860890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7860890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5100392971","display_name":"Haotian Zhang","orcid":"https://orcid.org/0009-0005-6082-7389"},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao-Tian Zhang","raw_affiliation_strings":["State Grid Electric Power Research Institute (NARI Group), Nanjing, China","State Grid Ningxia Electric Power Company, Yinchuan, China"],"affiliations":[{"raw_affiliation_string":"State Grid Electric Power Research Institute (NARI Group), Nanjing, China","institution_ids":["https://openalex.org/I4210118629"]},{"raw_affiliation_string":"State Grid Ningxia Electric Power Company, Yinchuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110260941","display_name":"Kang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Chang","raw_affiliation_strings":["State Grid Electric Power Research Institute (NARI Group), Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Grid Electric Power Research Institute (NARI Group), Nanjing, China","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603641","display_name":"Huiling Zhang","orcid":"https://orcid.org/0000-0002-1858-7255"},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Zhang","raw_affiliation_strings":["State Grid Electric Power Research Institute (NARI Group), Nanjing, China","State Grid Ningxia Electric Power Company, Yinchuan, China"],"affiliations":[{"raw_affiliation_string":"State Grid Electric Power Research Institute (NARI Group), Nanjing, China","institution_ids":["https://openalex.org/I4210118629"]},{"raw_affiliation_string":"State Grid Ningxia Electric Power Company, Yinchuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029853791","display_name":"Loi Lei Lai","orcid":"https://orcid.org/0000-0003-4786-7931"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Loi Lei Lai","raw_affiliation_strings":["School of Automation, Guangdong University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100392971"],"corresponding_institution_ids":["https://openalex.org/I4210118629"],"apc_list":null,"apc_paid":null,"fwci":0.1838,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61446444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9975000023841858,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9975000023841858,"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":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/wind-power","display_name":"Wind power","score":0.778428316116333},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7398195266723633},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.6663411855697632},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6266160607337952},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6056042909622192},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5972597002983093},{"id":"https://openalex.org/keywords/low-voltage-ride-through","display_name":"Low voltage ride through","score":0.5854363441467285},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5799883008003235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5419183373451233},{"id":"https://openalex.org/keywords/transient-voltage-suppressor","display_name":"Transient voltage suppressor","score":0.4814571738243103},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3868994116783142},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3764330744743347},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.36171412467956543},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3588119149208069},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3316080570220947},{"id":"https://openalex.org/keywords/ac-power","display_name":"AC power","score":0.2589191794395447},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19527482986450195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09731981158256531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07895559072494507},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.06370231509208679}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.778428316116333},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7398195266723633},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.6663411855697632},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6266160607337952},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6056042909622192},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5972597002983093},{"id":"https://openalex.org/C2780438294","wikidata":"https://www.wikidata.org/wiki/Q6693052","display_name":"Low voltage ride through","level":4,"score":0.5854363441467285},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5799883008003235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419183373451233},{"id":"https://openalex.org/C14915586","wikidata":"https://www.wikidata.org/wiki/Q1653998","display_name":"Transient voltage suppressor","level":3,"score":0.4814571738243103},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3868994116783142},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3764330744743347},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.36171412467956543},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3588119149208069},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3316080570220947},{"id":"https://openalex.org/C108755667","wikidata":"https://www.wikidata.org/wiki/Q1930258","display_name":"AC power","level":3,"score":0.2589191794395447},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19527482986450195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09731981158256531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07895559072494507},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.06370231509208679},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2016.7860890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7860890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1529304606","https://openalex.org/W1558610993","https://openalex.org/W1842375836","https://openalex.org/W1988227963","https://openalex.org/W2006672684","https://openalex.org/W2040924239","https://openalex.org/W2043044702","https://openalex.org/W2061713200","https://openalex.org/W2069722134","https://openalex.org/W2084533150","https://openalex.org/W2085356046","https://openalex.org/W2126082093","https://openalex.org/W2135403205","https://openalex.org/W2144237091","https://openalex.org/W2146546380","https://openalex.org/W2147834146","https://openalex.org/W2152556073","https://openalex.org/W2199800958","https://openalex.org/W2239354613","https://openalex.org/W2248928249","https://openalex.org/W2270086858","https://openalex.org/W2314191254","https://openalex.org/W2316628744","https://openalex.org/W6699507185"],"related_works":["https://openalex.org/W2031319054","https://openalex.org/W2145371497","https://openalex.org/W4226206057","https://openalex.org/W2900663758","https://openalex.org/W4376457761","https://openalex.org/W4388586317","https://openalex.org/W2613281519","https://openalex.org/W2473221270","https://openalex.org/W4211229874","https://openalex.org/W2100259029"],"abstract_inverted_index":{"Uncertainty":[0],"and":[1,21],"variability":[2],"are":[3,88],"the":[4,33,41,65,69,74,82,86,94,101],"inherent":[5],"factors":[6,80],"in":[7,49,54,85],"modern":[8],"power":[9,16,34,102],"systems":[10],"with":[11,36],"increasing":[12],"number":[13,95],"of":[14,40,68,81,96],"intermittent":[15],"resources":[17],"such":[18],"as":[19,73],"wind":[20,42,97],"solar":[22],"integration.":[23],"This":[24],"paper":[25],"presents":[26],"a":[27],"novel":[28],"probabilistic":[29,79],"approach":[30],"to":[31,63],"evaluate":[32],"grid":[35,51],"Fault":[37],"Ride-Through":[38,46],"consideration":[39,91],"generation.":[43],"Low":[44],"Voltage":[45],"regulation":[47],"applied":[48,62],"China":[50],"is":[52,61,71],"investigated":[53],"this":[55],"paper.":[56],"Critical":[57],"Clearing":[58],"Time,":[59],"which":[60],"indicate":[64],"transient":[66,75],"stability":[67,76],"system,":[70],"considered":[72],"constraint.":[77],"The":[78],"fault":[83],"occurring":[84],"system":[87],"taken":[89],"into":[90],"for":[92],"assessing":[93],"generators":[98],"tripped":[99],"from":[100],"grid.":[103],"Promising":[104],"results":[105],"were":[106],"obtained.":[107]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
