{"id":"https://openalex.org/W4412129254","doi":"https://doi.org/10.1109/ias62731.2025.11061659","title":"Unveiling the Segmented Patterns of Energy Storage via Parametric Grid-resilience Value Curve","display_name":"Unveiling the Segmented Patterns of Energy Storage via Parametric Grid-resilience Value Curve","publication_year":2025,"publication_date":"2025-06-15","ids":{"openalex":"https://openalex.org/W4412129254","doi":"https://doi.org/10.1109/ias62731.2025.11061659"},"language":"en","primary_location":{"id":"doi:10.1109/tia.2026.3694018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tia.2026.3694018","pdf_url":null,"source":{"id":"https://openalex.org/S192268925","display_name":"IEEE Transactions on Industry Applications","issn_l":"0093-9994","issn":["0093-9994","1939-9367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industry Applications","raw_type":"journal-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/A5064472552","display_name":"Yiyang Song","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiyang Song","raw_affiliation_strings":["University of Hong Kong,Department of Electrical and Electronic Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hong Kong,Department of Electrical and Electronic Engineering,China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428577","display_name":"Tiance Zhang","orcid":"https://orcid.org/0000-0002-8405-4377"},"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"]},{"id":"https://openalex.org/I4391767892","display_name":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources","ror":"https://ror.org/045hfth47","country_code":null,"type":"facility","lineage":["https://openalex.org/I153473198","https://openalex.org/I4391767892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiance Zhang","raw_affiliation_strings":["North China Electric Power University,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,Beijing,China,102206"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,Beijing,China,102206","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4391767892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100783880","display_name":"Jianxiao Wang","orcid":"https://orcid.org/0000-0001-9871-5263"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiao Wang","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Big Data Analysis and Applications,Beijing,China,100871"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Big Data Analysis and Applications,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.422,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58629796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.8822000026702881,"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":0.8822000026702881,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.8546000123023987,"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":0.8501999974250793,"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/resilience","display_name":"Resilience (materials science)","score":0.6668676137924194},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5793527364730835},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5589327216148376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5341811180114746},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5135622024536133},{"id":"https://openalex.org/keywords/energy-storage","display_name":"Energy storage","score":0.44101768732070923},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42402926087379456},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14514532685279846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11625707149505615},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10392814874649048},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08313858509063721},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06600677967071533}],"concepts":[{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6668676137924194},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5793527364730835},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5589327216148376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5341811180114746},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5135622024536133},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.44101768732070923},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42402926087379456},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14514532685279846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11625707149505615},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10392814874649048},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08313858509063721},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06600677967071533},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tia.2026.3694018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tia.2026.3694018","pdf_url":null,"source":{"id":"https://openalex.org/S192268925","display_name":"IEEE Transactions on Industry Applications","issn_l":"0093-9994","issn":["0093-9994","1939-9367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industry Applications","raw_type":"journal-article"},{"id":"doi:10.1109/ias62731.2025.11061659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7300000190734863,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2070559549","https://openalex.org/W2306664335","https://openalex.org/W2341649966","https://openalex.org/W2724574063","https://openalex.org/W2766228343","https://openalex.org/W2997057460","https://openalex.org/W3034540893","https://openalex.org/W3212152741","https://openalex.org/W4214894150","https://openalex.org/W4386415949","https://openalex.org/W4386590772","https://openalex.org/W4388469960","https://openalex.org/W4396940706","https://openalex.org/W4398151082"],"related_works":["https://openalex.org/W2284759612","https://openalex.org/W4402320089","https://openalex.org/W4407154879","https://openalex.org/W4410074107","https://openalex.org/W2396122647","https://openalex.org/W4378555281","https://openalex.org/W2953081822","https://openalex.org/W2136161268","https://openalex.org/W2752145644","https://openalex.org/W4404656008"],"abstract_inverted_index":{"The":[0,98],"increasing":[1],"frequency":[2],"of":[3,35,46,50,62,183,189],"extreme":[4],"weather":[5],"events":[6],"makes":[7],"resilience-oriented":[8],"preventive":[9],"measures":[10],"essential":[11],"for":[12,159],"power":[13],"grids.":[14],"Specifically,":[15],"quickly":[16],"and":[17,66,96,114,151,169,191],"accurately":[18],"configuring":[19],"energy":[20,36,51],"storage":[21,37,52,74,121,190],"before":[22],"disasters":[23],"strike":[24],"becomes":[25],"a":[26,77,156,170],"critical":[27],"but":[28],"challenging":[29],"task.":[30],"To":[31,123],"quantify":[32],"the":[33,44,47,56,60,82,91,106,125,180,186,192],"impact":[34],"on":[38,165],"grid":[39],"resilience,":[40],"this":[41],"paper":[42],"introduces":[43],"concept":[45],"resilience":[48],"value":[49,61,84],"(RVES),":[53],"defined":[54],"as":[55,76],"savings":[57],"in":[58,128,134,185],"both":[59,179],"lost":[63],"load":[64],"(VoLL)":[65],"system":[67,173],"operational":[68],"costs":[69],"during":[70],"disasters.":[71],"By":[72],"treating":[73],"capacity":[75],"continuous":[78],"parameter,":[79],"we":[80,137],"develop":[81],"grid-resilience":[83],"curve":[85],"(GRVC),":[86],"an":[87,142,152],"affine":[88],"function":[89],"capturing":[90],"relationship":[92],"between":[93],"low-dimensional":[94],"parameters":[95],"RVES.":[97],"GRVC":[99,161,184],"surface":[100],"can":[101],"be":[102],"analytically":[103],"represented":[104],"using":[105],"multi-parametric":[107],"linear":[108],"programming":[109],"(MPLP)":[110],"approach,":[111],"offering":[112],"intuitive":[113],"valuable":[115],"sensitivity":[116],"insights":[117],"to":[118,147],"support":[119],"pre-event":[120],"configuration.":[122],"address":[124],"combinatorial":[126],"challenges":[127],"MPLP":[129,145],"posed":[130],"by":[131],"time-coupled":[132],"constraints":[133],"disaster":[135],"scenarios,":[136],"propose":[138],"two":[139],"algorithmic":[140],"enhancements:":[141],"umbrella":[143],"constraint-based":[144],"model":[146],"remove":[148],"redundant":[149],"constraints,":[150],"accelerated":[153],"algorithm":[154],"enabling":[155],"warm":[157],"start":[158],"efficient":[160],"solution.":[162],"Case":[163],"studies":[164],"IEEE":[166],"9":[167],"bus":[168],"real-world":[171],"121-bus":[172],"under":[174],"ice":[175],"storm":[176],"scenarios":[177],"validate":[178],"practical":[181],"relevance":[182],"resilient":[187],"configuration":[188],"improved":[193],"computational":[194],"efficiency.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2025-10-10T00:00:00"}
