{"id":"https://openalex.org/W4408799616","doi":"https://doi.org/10.1186/s42162-025-00506-8","title":"Optimal control method of regional power grid based on elastic carrying capacity analysis and day-ahead evaluation","display_name":"Optimal control method of regional power grid based on elastic carrying capacity analysis and day-ahead evaluation","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4408799616","doi":"https://doi.org/10.1186/s42162-025-00506-8"},"language":"en","primary_location":{"id":"doi:10.1186/s42162-025-00506-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00506-8","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00506-8","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00506-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100433656","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-9736-8244"},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Power Grid Planning Research Center of Guizhou Power Grid, Guizhou, Guiyang, 550033, China"],"affiliations":[{"raw_affiliation_string":"Power Grid Planning Research Center of Guizhou Power Grid, Guizhou, Guiyang, 550033, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605260","display_name":"Qingsheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingsheng Li","raw_affiliation_strings":["Power Grid Planning Research Center of Guizhou Power Grid, Guizhou, Guiyang, 550033, China"],"affiliations":[{"raw_affiliation_string":"Power Grid Planning Research Center of Guizhou Power Grid, Guizhou, Guiyang, 550033, China","institution_ids":["https://openalex.org/I4210145500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100433656"],"corresponding_institution_ids":["https://openalex.org/I4210145500"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04353591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9983999729156494,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9944000244140625,"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":0.9933000206947327,"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/grid","display_name":"Grid","score":0.5628946423530579},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5547072291374207},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5081191062927246},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.48670676350593567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4075567424297333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36930975317955017},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11927440762519836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07775014638900757},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0755000114440918}],"concepts":[{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5628946423530579},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5547072291374207},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5081191062927246},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.48670676350593567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4075567424297333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36930975317955017},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11927440762519836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07775014638900757},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0755000114440918},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42162-025-00506-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00506-8","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00506-8","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b03bb5fd260442ee99d8ac8d61f6c217","is_oa":true,"landing_page_url":"https://doaj.org/article/b03bb5fd260442ee99d8ac8d61f6c217","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energy Informatics, Vol 8, Iss 1, Pp 1-20 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42162-025-00506-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00506-8","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00506-8","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408799616.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W3123511744","https://openalex.org/W3156477838","https://openalex.org/W3178134757","https://openalex.org/W3194090362","https://openalex.org/W3195751695","https://openalex.org/W4200254539","https://openalex.org/W4205571213","https://openalex.org/W4224103281","https://openalex.org/W4224213232","https://openalex.org/W4280497383","https://openalex.org/W4281386550","https://openalex.org/W4292714520","https://openalex.org/W4323667252","https://openalex.org/W4385635316"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2962838298","https://openalex.org/W2600246793"],"abstract_inverted_index":{"To":[0],"achieve":[1],"the":[2,15,108,113,119,124,134,152,161,171,176,186],"coordinated":[3],"consumption":[4,162],"and":[5,38,54,79,101,173,183],"control":[6,30,47,94],"of":[7,11,56,164,175,189],"a":[8,42,90],"high":[9],"proportion":[10],"renewable":[12],"energy":[13,139],"in":[14,155],"current":[16],"regional":[17,177,190],"power":[18,52,98,110,178,191],"grid":[19,62,74,76,80,99,111],"while":[20],"ensuring":[21],"sufficient":[22],"safety":[23,125],"margins,":[24],"this":[25,88,116,156],"paper":[26,117,157],"proposes":[27],"an":[28,137],"optimization":[29],"method":[31,95,121,153],"based":[32,70],"on":[33,71],"elastic":[34,82],"carrying":[35],"capacity":[36],"analysis":[37,84],"recent":[39],"evaluation.":[40],"Firstly,":[41],"cloud-edge-based":[43],"sub-provincial":[44,97],"collaborative":[45,92],"intelligent":[46,93],"model":[48],"is":[49,103],"adopted,":[50],"integrating":[51],"industry":[53],"Internet":[55],"Things":[57],"(IoT)":[58],"technology":[59],"to":[60,122,143],"realize":[61],"state":[63],"data":[64],"perception":[65],"through":[66],"multiple":[67],"sensors.":[68],"Secondly,":[69],"these":[72],"data,":[73],"assessment,":[75,78],"vulnerability":[77],"mapping":[81],"potential":[83],"are":[85],"completed.":[86],"On":[87],"basis,":[89],"multi-scale":[91],"for":[96,185],"transmission":[100],"distribution":[102],"then":[104],"constructed.":[105],"Finally,":[106],"taking":[107],"Xingyi":[109],"as":[112],"research":[114],"object,":[115],"applies":[118],"proposed":[120,154],"improve":[123],"margin.":[126],"The":[127],"experimental":[128],"results":[129],"show":[130],"that":[131,151],"after":[132],"applying":[133],"method,":[135],"with":[136],"installed":[138],"penetration":[140],"rate":[141],"close":[142],"180%,":[144],"reaches":[145],"more":[146],"than":[147],"95%.":[148],"This":[149],"indicates":[150],"not":[158],"only":[159],"improves":[160],"efficiency":[163],"new":[165,181],"energy,":[166],"but":[167],"also":[168],"significantly":[169],"enhances":[170],"security":[172],"stability":[174],"grid,":[179],"providing":[180],"ideas":[182],"practices":[184],"sustainable":[187],"development":[188],"grids.":[192]},"counts_by_year":[],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}