{"id":"https://openalex.org/W4380052737","doi":"https://doi.org/10.3389/fenrg.2023.1181310","title":"Robust optimal dispatching model and a benefit allocation strategy for rural novel virtual power plants incorporating biomass waste energy conversion and carbon cycle utilization","display_name":"Robust optimal dispatching model and a benefit allocation strategy for rural novel virtual power plants incorporating biomass waste energy conversion and carbon cycle utilization","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4380052737","doi":"https://doi.org/10.3389/fenrg.2023.1181310"},"language":"en","primary_location":{"id":"doi:10.3389/fenrg.2023.1181310","doi":"https://doi.org/10.3389/fenrg.2023.1181310","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fenrg.2023.1181310","pdf_url":"https://www.frontiersin.org/articles/10.3389/fenrg.2023.1181310/pdf","source":{"id":"https://openalex.org/S2595193159","display_name":"Frontiers in Energy Research","issn_l":"2296-598X","issn":["2296-598X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Energy Research","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.frontiersin.org/articles/10.3389/fenrg.2023.1181310/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085196274","display_name":"Liwei Ju","orcid":"https://orcid.org/0000-0003-2009-9389","observed_orcids":["https://orcid.org/0000-0003-2009-9389"]},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liwei Ju","raw_affiliation_strings":["School of Economics and Management, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110745365","display_name":"Qingqing Zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Zhou","raw_affiliation_strings":["School of Economics and Management, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047722991","display_name":"Miao Pan","orcid":"https://orcid.org/0000-0003-2138-4413","observed_orcids":["https://orcid.org/0000-0003-2138-4413"]},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Pan","raw_affiliation_strings":["School of Economics and Management, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064628674","display_name":"Wanting Wei","orcid":"https://orcid.org/0009-0006-4955-046X","observed_orcids":["https://orcid.org/0009-0006-4955-046X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanting Wei","raw_affiliation_strings":["Beijing New Energy Smart Internet Technology Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing New Energy Smart Internet Technology Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002554718","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0001-7269-8039","observed_orcids":["https://orcid.org/0000-0001-7269-8039"]},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["School of Economics and Management, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101101511","display_name":"Jie Sun","orcid":"https://orcid.org/0009-0006-2202-3272","observed_orcids":["https://orcid.org/0009-0006-2202-3272"]},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Sun","raw_affiliation_strings":["Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050279987","display_name":"Yushu Pan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushu Pan","raw_affiliation_strings":["School of Economics and Management, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085196274"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":{"value":2795,"currency":"USD","value_usd":2795},"apc_paid":{"value":2795,"currency":"USD","value_usd":2795},"fwci":0.4989,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.53241996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"11","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.82669997215271,"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/T10424","display_name":"Electric Power System Optimization","score":0.82669997215271,"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/T11185","display_name":"Integrated Energy Systems Optimization","score":0.14480000734329224,"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/T10603","display_name":"Smart Grid Energy Management","score":0.007699999958276749,"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/virtual-power-plants","display_name":"virtual power plants","score":0.8069999814033508},{"id":"https://openalex.org/keywords/two-stage-stochastic-programming","display_name":"two-stage stochastic programming","score":0.6579999923706055},{"id":"https://openalex.org/keywords/wind-power-uncertainty","display_name":"wind power uncertainty","score":0.7630000114440918},{"id":"https://openalex.org/keywords/photovoltaic-power-uncertainty","display_name":"photovoltaic uncertainty","score":0.9620000123977661},{"id":"https://openalex.org/keywords/benefit-distribution","display_name":"benefit distribution","score":0.6290000081062317},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.7590000033378601},{"id":"https://openalex.org/keywords/carbon-emission-reduction","display_name":"carbon emission reduction","score":0.578000009059906},{"id":"https://openalex.org/keywords/small-hydropower-stations","display_name":"small hydropower stations","score":0.6230000257492065},{"id":"https://openalex.org/keywords/operational-cost-reduction","display_name":"operational cost reduction","score":0.6650000214576721},{"id":"https://openalex.org/keywords/agent-cooperation","display_name":"agent cooperation","score":0.625}],"concepts":[{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.49801135063171387},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4871187210083008},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4832075834274292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4516904652118683},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3692573308944702},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3412100374698639},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30363744497299194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1391068398952484},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09824228286743164},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3389/fenrg.2023.1181310","doi":"https://doi.org/10.3389/fenrg.2023.1181310","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fenrg.2023.1181310","pdf_url":"https://www.frontiersin.org/articles/10.3389/fenrg.2023.1181310/pdf","source":{"id":"https://openalex.org/S2595193159","display_name":"Frontiers in Energy Research","issn_l":"2296-598X","issn":["2296-598X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Energy Research","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e9dc7720ed404d2690283be196971a34","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/e9dc7720ed404d2690283be196971a34","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":"Frontiers in Energy Research, Vol 11 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fenrg.2023.1181310","doi":"https://doi.org/10.3389/fenrg.2023.1181310","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fenrg.2023.1181310","pdf_url":"https://www.frontiersin.org/articles/10.3389/fenrg.2023.1181310/pdf","source":{"id":"https://openalex.org/S2595193159","display_name":"Frontiers in Energy Research","issn_l":"2296-598X","issn":["2296-598X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Energy Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.9786999821662903,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"},{"score":0.807699978351593,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"},{"score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2177777116","display_name":null,"funder_award_id":"71904049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4278203052","display_name":null,"funder_award_id":"72274060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5697395059","display_name":null,"funder_award_id":"72174062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6042466068","display_name":"\u65b0\u914d\u989d\u5236\u4e0b\u53ef\u518d\u751f\u80fd\u6e90\u7535\u529b\u591a\u5c3a\u5ea6\u8026\u5408\u4ea4\u6613\u4f53\u7cfb\u53ca\u534f\u540c\u4f18\u5316\u673a\u5236\u7814\u7a76","funder_award_id":"72074074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7376023051","display_name":null,"funder_award_id":"72204086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380052737.pdf","grobid_xml":"https://content.openalex.org/works/W4380052737.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2527441227","https://openalex.org/W2590359072","https://openalex.org/W2892328381","https://openalex.org/W2894946680","https://openalex.org/W2906760322","https://openalex.org/W2939673080","https://openalex.org/W2975160718","https://openalex.org/W3025188962","https://openalex.org/W3083076966","https://openalex.org/W3087044390","https://openalex.org/W3124534202","https://openalex.org/W3135952064","https://openalex.org/W3178011249","https://openalex.org/W3204635269","https://openalex.org/W4200052769","https://openalex.org/W4200421523","https://openalex.org/W4210444770","https://openalex.org/W4210543212","https://openalex.org/W4212973602","https://openalex.org/W4214877761","https://openalex.org/W4223640928","https://openalex.org/W4224437427","https://openalex.org/W4225132479","https://openalex.org/W4225407181","https://openalex.org/W4294863363","https://openalex.org/W4307396378","https://openalex.org/W4310974383","https://openalex.org/W4312463453","https://openalex.org/W4313576105"],"related_works":["https://openalex.org/W4392889806","https://openalex.org/W4210444770","https://openalex.org/W4401408694","https://openalex.org/W4307059240","https://openalex.org/W4390619973","https://openalex.org/W2906760322","https://openalex.org/W4402276422","https://openalex.org/W4415413070","https://openalex.org/W4292171685","https://openalex.org/W4388507475"],"abstract_inverted_index":{"To":[0],"optimize":[1],"the":[2,48,56,72,85,89,103,107,121,134,158,163,188,193,204,219,231,245,251,261,272,290,295,300,312,320,326,331,335,343,362,372,386],"utilization":[3,22,374],"of":[4,143,162,197,222,274,292,334,346,375,389],"rural":[5,34,175,376],"biomass":[6,14,377],"waste":[7,15,378],"resources":[8,379,383],"(e.g.,":[9],"straw":[10],"and":[11,19,64,77,98,170,187,199,203,207,215,227,263,269,271,276,281,337,342,352,358,366,380],"solid":[12],"waste),":[13],"energy":[16,382],"conversion":[17],"(BWEC)":[18],"carbon":[20,99,167],"cycle":[21],"(CCU)":[23],"are":[24],"integrated":[25],"into":[26],"a":[27,33,40,59,147,174,347],"traditional":[28,321],"virtual":[29,36,50],"power":[30,37,51,61],"plant,":[31],"i.e.,":[32],"BWEC-CCU-based":[35,49],"plant.":[38],"Furthermore,":[39],"fuzzy":[41],"robust":[42,127,252],"two-stage":[43],"dispatching":[44,75,80,87,90,105,109,232,301,365],"optimal":[45,108,141,195,246,364],"model":[46,70,76,239],"for":[47,184],"plant":[52,62],"is":[53,92,111,130,155,182,201,229,234,329],"established":[54],"considering":[55,157],"non-determinacy":[57],"from":[58],"wind":[60],"(WPP)":[63],"photovoltaic":[65],"(PV)":[66],"power.":[67],"The":[68,126,304],"scheduling":[69,238,247],"includes":[71],"day-ahead":[73,86],"deterministic":[74],"real-time":[78,104],"uncertainty":[79],"model.":[81],"Among":[82],"them,":[83],"in":[84,137,178],"phase,":[88,106],"plan":[91],"formulated":[93,112],"with":[94,250,319],"minimum":[95,115],"operating":[96],"cost":[97,118,206,210],"emission":[100,168],"targets.":[101],"In":[102],"strategy":[110,150,309,369],"aiming":[113],"at":[114],"deviation":[116,171,208],"adjustment":[117,209],"by":[119,213,267,279,340,355],"applying":[120],"Latin":[122],"hypercube":[123],"sampling":[124],"method.":[125],"stochastic":[128],"theory":[129],"used":[131,242],"to":[132,139,243],"describe":[133],"uncertainty.":[135],"Third,":[136],"order":[138],"achieve":[140],"distribution":[142,149,176],"multi-agent":[144],"cooperation":[145],"benefits,":[146],"benefit":[148,165,306,315,322,332,344,367,387],"based":[151],"on":[152,299],"Nash":[153],"negotiation":[154],"designed":[156],"three-dimensional":[159],"interfering":[160],"factor":[161],"marginal":[164],"contribution,":[166,169],"risk.":[172],"Finally,":[173],"network":[177],"Jiangsu":[179],"province,":[180],"China,":[181],"selected":[183],"case":[185],"analysis,":[186],"results":[189],"show":[190],"that":[191],"1)":[192],"synergistic":[194],"effect":[196],"BWEC":[198,275],"CCU":[200,228,277,353],"obvious,":[202],"operation":[205],"could":[211,370],"decrease":[212],"26.21%":[214],"39.78%,":[216],"respectively.":[217,283,360],"While":[218],"capacity":[220],"ratio":[221],"WPP":[223,262,336],"+":[224],"PV,":[225],"BWEC,":[226,351],"5:3:2,":[230],"scheme":[233],"optimum.":[235],"2)":[236],"This":[237],"can":[240,310],"be":[241],"formulate":[244,311],"scheme.":[248,302],"Compared":[249,318],"coefficient":[253],"\u0393":[254,258,285,293],"=":[255,259],"0,":[256],"when":[257,325],"1,":[260],"PV":[264,338],"output":[265,273],"decreased":[266],"15.72%":[268],"15.12%,":[270],"increased":[278],"30.7%":[280],"188.19%,":[282],"When":[284],"\u2208":[286],"(":[287],"0.3,":[288],"0.9),":[289],"growth":[291],"has":[294],"most":[296,313],"direct":[297],"impact":[298],"3)":[303],"proposed":[305,327,363],"equilibrium":[307],"allocation":[308,316,323,368],"reasonable":[314],"plan.":[317],"strategy,":[324],"method":[328],"used,":[330],"share":[333,345],"reduces":[339],"5.2%,":[341],"small":[348],"hydropower":[349],"station,":[350],"increases":[354],"1.7%,":[356],"9.7%,":[357],"3.8%,":[359],"Overall,":[361],"improve":[371],"aggregated":[373],"distributed":[381],"while":[384],"balancing":[385],"appeal":[388],"different":[390],"agents.":[391]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-06-10T00:00:00"}