{"id":"https://openalex.org/W2996289535","doi":"https://doi.org/10.1109/iecon.2019.8927806","title":"Multi-scenario Capacity Optimization Design of Railway Power Conditioner Considering Load Uncertainty","display_name":"Multi-scenario Capacity Optimization Design of Railway Power Conditioner Considering Load Uncertainty","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2996289535","doi":"https://doi.org/10.1109/iecon.2019.8927806","mag":"2996289535"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2019.8927806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2019.8927806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2019 - 45th 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/A5024983290","display_name":"Pei Luo","orcid":"https://orcid.org/0000-0002-5899-8382"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pei Luo","raw_affiliation_strings":["Institute of Energy Systems, Energy Efficiency and Energy Economics (ie3), TU Dortmund University, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Energy Systems, Energy Efficiency and Energy Economics (ie3), TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017973917","display_name":"Qianru Li","orcid":"https://orcid.org/0000-0002-8136-2040"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianru Li","raw_affiliation_strings":["School of Information Engineering, Xiangtan University, Xiangtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035369199","display_name":"Qian Ma","orcid":"https://orcid.org/0000-0002-1089-9561"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Ma","raw_affiliation_strings":["School of Information Engineering, Xiangtan University, Xiangtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65104048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2714","last_page":"2719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10573","display_name":"Power Quality and Harmonics","score":0.9858999848365784,"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/computer-science","display_name":"Computer science","score":0.6451115608215332},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6297765970230103},{"id":"https://openalex.org/keywords/capacity-optimization","display_name":"Capacity optimization","score":0.5759791135787964},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5437454581260681},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.5241984724998474},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5024552345275879},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4931125342845917},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46656835079193115},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4544660151004791},{"id":"https://openalex.org/keywords/power-conditioner","display_name":"Power conditioner","score":0.41828659176826477},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41809192299842834},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.329357385635376},{"id":"https://openalex.org/keywords/ac-power","display_name":"AC power","score":0.2824797034263611},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22211629152297974},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.12671580910682678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09051316976547241},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08279809355735779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451115608215332},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6297765970230103},{"id":"https://openalex.org/C2776469763","wikidata":"https://www.wikidata.org/wiki/Q5034491","display_name":"Capacity optimization","level":3,"score":0.5759791135787964},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5437454581260681},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.5241984724998474},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5024552345275879},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4931125342845917},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46656835079193115},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4544660151004791},{"id":"https://openalex.org/C2780765089","wikidata":"https://www.wikidata.org/wiki/Q1326101","display_name":"Power conditioner","level":4,"score":0.41828659176826477},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41809192299842834},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.329357385635376},{"id":"https://openalex.org/C108755667","wikidata":"https://www.wikidata.org/wiki/Q1930258","display_name":"AC power","level":3,"score":0.2824797034263611},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22211629152297974},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.12671580910682678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09051316976547241},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08279809355735779},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2019.8927806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2019.8927806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1970687554","https://openalex.org/W1973107134","https://openalex.org/W2008603248","https://openalex.org/W2028792382","https://openalex.org/W2094025768","https://openalex.org/W2127356085","https://openalex.org/W2155063003","https://openalex.org/W2402618429","https://openalex.org/W2461089572","https://openalex.org/W2588128498","https://openalex.org/W2785396891","https://openalex.org/W2790363821","https://openalex.org/W2798441632","https://openalex.org/W2802873986"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W3021195909","https://openalex.org/W2898666171","https://openalex.org/W2366086488","https://openalex.org/W2996289535"],"abstract_inverted_index":{"With":[0],"the":[1,44,49,54,72,76,80,124,133,150,170,183,189,209,214],"development":[2],"of":[3,6,13,84,126,165,185,213],"power":[4,10,15,30,50],"scale":[5],"railway":[7],"traction":[8,14,127],"load,":[9],"quality":[11,31,51],"problems":[12,32],"supply":[16],"system":[17],"have":[18,205],"also":[19],"been":[20],"widely":[21],"concerned.":[22],"Railway":[23],"Power":[24],"Conditioner":[25],"(RPC)":[26],"can":[27,181],"comprehensively":[28],"solve":[29],"and":[33,82,159,168,196,200,203,211],"has":[34],"become":[35],"a":[36,66,95,105,110,119],"current":[37],"hot":[38],"research":[39],"topic.":[40],"How":[41],"to":[42,57,64,148,154,160],"reduce":[43],"RPC":[45,134,186],"capacity":[46,74,103,135,164,172],"while":[47,79,131,187],"satisfying":[48],"simultaneously":[52],"is":[53,63,129,146,177,194],"urgent":[55],"problem":[56],"be":[58],"settled.":[59],"The":[60,192],"existing":[61],"method":[62,122,180,193,215],"set":[65],"fixed":[67],"load":[68,86,128],"value":[69],"when":[70],"calculating":[71,132],"compensation":[73,97,102,112,163,171,190],"in":[75,136,198,217],"optimization":[77,162],"algorithm,":[78],"randomness":[81],"uncertainty":[83,125],"real":[85],"fluctuations":[87],"were":[88],"not":[89],"considered.":[90],"It":[91],"will":[92],"probably":[93],"cause":[94],"bad":[96],"consequence":[98],"with":[99,109,116,142],"an":[100],"insufficient":[101],"or":[104],"poor":[106],"cost":[107],"performance":[108],"huge":[111],"capacity.":[113],"To":[114],"deal":[115],"this":[117,137,218],"problem,":[118],"Multi-scenario":[120],"Analysis":[121],"considering":[123],"introduced":[130],"paper.":[138,219],"Optimization":[139],"algorithm":[140],"combined":[141],"K-means":[143],"Clustering":[144],"Algorithm":[145],"used":[147,216],"cluster":[149],"sampled":[151],"massive":[152],"data":[153],"achieve":[155],"several":[156],"operational":[157],"scenarios":[158],"calculate":[161],"each":[166],"scenario,":[167],"finally,":[169],"suitable":[173],"for":[174],"every":[175],"scenario":[176],"obtained.":[178],"This":[179],"improve":[182],"economy":[184],"meeting":[188],"requirements.":[191],"calculated":[195],"verified":[197],"MATLAB":[199],"further":[201],"comparison":[202],"analysis":[204],"made,":[206],"results":[207],"show":[208],"feasibility":[210],"validity":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
