{"id":"https://openalex.org/W4411536014","doi":"https://doi.org/10.3390/en18133271","title":"Fault Location and Route Selection Strategy of Distribution Network Based on Distributed Sensing Configuration and Fuzzy C-Means","display_name":"Fault Location and Route Selection Strategy of Distribution Network Based on Distributed Sensing Configuration and Fuzzy C-Means","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411536014","doi":"https://doi.org/10.3390/en18133271"},"language":"en","primary_location":{"id":"doi:10.3390/en18133271","doi":"https://doi.org/10.3390/en18133271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/en18133271","pdf_url":"https://www.mdpi.com/1996-1073/18/13/3271/pdf?version=1750673613","source":{"id":"https://openalex.org/S198098182","display_name":"Energies","issn_l":"1996-1073","issn":["1996-1073"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energies","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1996-1073/18/13/3271/pdf?version=1750673613","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100725692","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-7113-284X","observed_orcids":["https://orcid.org/0000-0002-7113-284X"]},"institutions":[{"id":"https://openalex.org/I4405270234","display_name":"Yunnan Power Grid Co., Ltd. (China)","ror":"https://ror.org/009qhsr26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China","institution_ids":["https://openalex.org/I4405270234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046815412","display_name":"Guochao Qian","orcid":"https://orcid.org/0009-0004-7895-5031","observed_orcids":["https://orcid.org/0009-0004-7895-5031"]},"institutions":[{"id":"https://openalex.org/I4405270234","display_name":"Yunnan Power Grid Co., Ltd. (China)","ror":"https://ror.org/009qhsr26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guochao Qian","raw_affiliation_strings":["Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China","institution_ids":["https://openalex.org/I4405270234"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lijun Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270234","display_name":"Yunnan Power Grid Co., Ltd. (China)","ror":"https://ror.org/009qhsr26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Tang","raw_affiliation_strings":["Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Science Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China","institution_ids":["https://openalex.org/I4405270234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101404134","display_name":"Peng Sun","orcid":"https://orcid.org/0000-0002-6032-5136","observed_orcids":["https://orcid.org/0000-0002-6032-5136"]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Sun","raw_affiliation_strings":["School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083786033","display_name":"Zhensheng Wu","orcid":"https://orcid.org/0009-0009-1726-1833","observed_orcids":["https://orcid.org/0009-0009-1726-1833"]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhensheng Wu","raw_affiliation_strings":["School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":"https://orcid.org/0009-0009-1726-1833","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101404134"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":0.537,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.545901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"18","issue":"13","first_page":"3271","last_page":"3271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9771000146865845,"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/T10972","display_name":"Power Systems Fault Detection","score":0.9771000146865845,"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/T10305","display_name":"Power System Optimization and Stability","score":0.017000000923871994,"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":0.0026000000070780516,"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/distribution-network-fault-location","display_name":"distribution network fault location","score":0.9919999837875366},{"id":"https://openalex.org/keywords/fault-section-identification","display_name":"fault section identification","score":0.7549999952316284},{"id":"https://openalex.org/keywords/fault-line-selection","display_name":"fault line selection","score":0.8619999885559082},{"id":"https://openalex.org/keywords/voltage-and-current-sensors","display_name":"voltage and current sensors","score":0.8519999980926514},{"id":"https://openalex.org/keywords/fuzzy-c-means-clustering","display_name":"fuzzy c-means clustering","score":0.9700000286102295},{"id":"https://openalex.org/keywords/network-observability","display_name":"network observability","score":0.7429999709129333},{"id":"https://openalex.org/keywords/sensor-placement-optimization","display_name":"sensor placement optimization","score":0.6150000095367432},{"id":"https://openalex.org/keywords/fault-simulation","display_name":"fault simulation","score":0.44999998807907104}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6989163756370544},{"id":"https://openalex.org/C21267803","wikidata":"https://www.wikidata.org/wiki/Q5438159","display_name":"Fault indicator","level":4,"score":0.5834344625473022},{"id":"https://openalex.org/C126953365","wikidata":"https://www.wikidata.org/wiki/Q5438152","display_name":"Fault coverage","level":3,"score":0.5557832717895508},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5547352433204651},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.52875155210495},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49344387650489807},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.492964506149292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4816943109035492},{"id":"https://openalex.org/C13625343","wikidata":"https://www.wikidata.org/wiki/Q7627418","display_name":"Stuck-at fault","level":4,"score":0.45864468812942505},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.4544830322265625},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4494922161102295},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38736188411712646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3549187481403351},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3443549871444702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10982441902160645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08986711502075195},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.08091998100280762},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/en18133271","doi":"https://doi.org/10.3390/en18133271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/en18133271","pdf_url":"https://www.mdpi.com/1996-1073/18/13/3271/pdf?version=1750673613","source":{"id":"https://openalex.org/S198098182","display_name":"Energies","issn_l":"1996-1073","issn":["1996-1073"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energies","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:182024c0722b46ebb7092fb2a2101882","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/182024c0722b46ebb7092fb2a2101882","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":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energies, Vol 18, Iss 13, p 3271 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/en18133271","doi":"https://doi.org/10.3390/en18133271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/en18133271","pdf_url":"https://www.mdpi.com/1996-1073/18/13/3271/pdf?version=1750673613","source":{"id":"https://openalex.org/S198098182","display_name":"Energies","issn_l":"1996-1073","issn":["1996-1073"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energies","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":1.0,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336407","display_name":"Yunnan Power Grid Company","ror":"https://ror.org/009qhsr26"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411536014.pdf","grobid_xml":"https://content.openalex.org/works/W4411536014.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2262882957","https://openalex.org/W2382625485","https://openalex.org/W2565178357","https://openalex.org/W2604211009","https://openalex.org/W2908761411","https://openalex.org/W2990503241","https://openalex.org/W3000488444","https://openalex.org/W3016453687","https://openalex.org/W4214924105","https://openalex.org/W4285817308","https://openalex.org/W4385065607","https://openalex.org/W4386609164","https://openalex.org/W4404447063","https://openalex.org/W4405717942"],"related_works":["https://openalex.org/W4392429839","https://openalex.org/W2971783576","https://openalex.org/W4323849269","https://openalex.org/W4285817308","https://openalex.org/W2056313303","https://openalex.org/W7097886886","https://openalex.org/W1524830379","https://openalex.org/W4411409321","https://openalex.org/W4394841966","https://openalex.org/W2132515864"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,46,53,57,66,75,79,83,91,94,108,122,128,135,142,146,149,170,173,182,195,207],"problem":[3],"of":[4,10,56,68,77,82,172,197,209],"high":[5],"cost":[6,73,228],"and":[7,23,35,60,71,120,145,187,204,220,233],"low":[8,226],"efficiency":[9],"measuring":[11,69],"equipment":[12,227],"in":[13,42,90,141],"traditional":[14,183],"distribution":[15,84,92],"network":[16],"fault":[17,20,88,102,117,130,143,150,157,184,218,231,235,240],"location,":[18],"a":[19,87,156,225],"section":[21,126,144,185],"location":[22,186,219,241],"line":[24,151,222],"selection":[25,189],"strategy":[26],"combining":[27],"dynamic":[28],"binary":[29],"particle":[30],"swarm":[31],"optimization":[32],"(DBPSO)":[33],"configuration":[34,54,100],"fuzzy":[36],"C-means":[37],"(FCM)":[38],"clustering":[39,110],"is":[40,49,152,166],"proposed":[41,174],"this":[43,191],"paper.":[44],"Firstly,":[45],"DBPSO":[47],"algorithm":[48,111,210],"used":[50],"to":[51,112,116,168],"optimize":[52],"scheme":[55],"distributed":[58],"voltage":[59],"current":[61],"sensing":[62],"device,":[63],"which":[64,237],"reduces":[65],"number":[67,196,208],"devices":[70,199],"system":[72,165],"on":[74,98,161],"premise":[76],"ensuring":[78],"global":[80],"observability":[81],"network.":[85],"When":[86],"occurs":[89],"network,":[93],"sensor":[95],"device":[96],"based":[97,160],"optimal":[99],"collects":[101],"feature":[103,118],"data,":[104],"combines":[105],"it":[106,214],"with":[107,181],"FCM":[109],"classify":[113],"nodes":[114],"according":[115],"similarity,":[119],"divides":[121],"most":[123],"significant":[124],"fault-affected":[125],"as":[127],"core":[129],"area.":[131],"Further,":[132],"by":[133,202],"calculating":[134],"Euclidean":[136],"distance":[137],"between":[138],"each":[139],"node":[140],"cluster":[147],"center,":[148],"accurately":[153],"identified.":[154],"Finally,":[155],"simulation":[158],"model":[159],"an":[162],"IEEE":[163],"11-node":[164],"constructed":[167],"verify":[169],"effectiveness":[171],"method.":[175],"The":[176],"results":[177],"show":[178],"that,":[179],"compared":[180],"route":[188],"strategy,":[190],"method":[192],"can":[193,215],"reduce":[194,206],"measurement":[198],"optimally":[200],"configured":[201],"19\u201336%":[203],"significantly":[205,238],"iterations.":[211],"In":[212],"addition,":[213],"realize":[216],"rapid":[217],"precise":[221],"screening":[223],"at":[224],"under":[229],"multiple":[230],"types":[232],"different":[234],"locations,":[236],"improves":[239],"accuracy":[242],"while":[243],"reducing":[244],"economic":[245],"investment.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-10T00:00:00"}
