{"id":"https://openalex.org/W2945690175","doi":"https://doi.org/10.1109/tsg.2019.2930012","title":"Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration","display_name":"Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration","publication_year":2019,"publication_date":"2019-07-22","ids":{"openalex":"https://openalex.org/W2945690175","doi":"https://doi.org/10.1109/tsg.2019.2930012","mag":"2945690175"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2019.2930012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2019.2930012","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.06599","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shuhan Yao","orcid":"https://orcid.org/0000-0003-0183-1618"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shuhan Yao","raw_affiliation_strings":["Interdisciplinary Graduate School, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0183-1618","affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-0093-7018"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0093-7018","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaochuan Liu","orcid":"https://orcid.org/0000-0001-6371-0585"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaochuan Liu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6371-0585","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huajun Zhang","orcid":"https://orcid.org/0000-0002-3852-5801"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huajun Zhang","raw_affiliation_strings":["Interdisciplinary Graduate School, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3852-5801","affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tianyang Zhao","orcid":"https://orcid.org/0000-0003-0184-6553"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tianyang Zhao","raw_affiliation_strings":["Energy Research Institute@NTU, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0184-6553","affiliations":[{"raw_affiliation_string":"Energy Research Institute@NTU, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":10.0499,"has_fulltext":false,"cited_by_count":271,"citation_normalized_percentile":{"value":0.98685388,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":"2","first_page":"1030","last_page":"1043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.7613999843597412,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.7613999843597412,"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/T10223","display_name":"Microgrid Control and Optimization","score":0.12129999697208405,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.025100000202655792,"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/scheduling","display_name":"Scheduling (production processes)","score":0.6506999731063843},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.46630001068115234},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4417000114917755},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.4302000105381012},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.42329999804496765},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.382999986410141},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.38100001215934753},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.3564000129699707},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.3549000024795532}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6506999731063843},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44130000472068787},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4404999911785126},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.30300000309944153},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2987000048160553},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.28940001130104065},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.28870001435279846},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsg.2019.2930012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2019.2930012","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1905.06599","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.06599","pdf_url":"https://arxiv.org/pdf/1905.06599","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.06599","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.06599","pdf_url":"https://arxiv.org/pdf/1905.06599","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1970233907","https://openalex.org/W2003912133","https://openalex.org/W2032374066","https://openalex.org/W2035220129","https://openalex.org/W2089635373","https://openalex.org/W2158238776","https://openalex.org/W2179164962","https://openalex.org/W2277817011","https://openalex.org/W2294586855","https://openalex.org/W2337668381","https://openalex.org/W2345006952","https://openalex.org/W2345218921","https://openalex.org/W2462278955","https://openalex.org/W2466526187","https://openalex.org/W2500834297","https://openalex.org/W2509677837","https://openalex.org/W2541531926","https://openalex.org/W2562762183","https://openalex.org/W2571088323","https://openalex.org/W2595394152","https://openalex.org/W2602240020","https://openalex.org/W2604739525","https://openalex.org/W2611237982","https://openalex.org/W2613791018","https://openalex.org/W2743854355","https://openalex.org/W2752845795","https://openalex.org/W2765882934","https://openalex.org/W2766539547","https://openalex.org/W2787237990","https://openalex.org/W2797119662","https://openalex.org/W2809282503","https://openalex.org/W2810335761","https://openalex.org/W2888193559","https://openalex.org/W2897660303","https://openalex.org/W2899528136","https://openalex.org/W2904580764","https://openalex.org/W2905912094","https://openalex.org/W2915071447","https://openalex.org/W3003651885","https://openalex.org/W4241079583","https://openalex.org/W4255158836","https://openalex.org/W6732368888"],"related_works":[],"abstract_inverted_index":{"Mobile":[0],"energy":[1],"storage":[2],"systems":[3],"(MESSs)":[4],"provide":[5],"promising":[6],"solutions":[7],"to":[8,28,60,115,191,197],"enhance":[9,192],"distribution":[10,49,71,166,181,193],"system":[11,32,118,177,194],"resilience":[12,195],"in":[13,64,70,75],"terms":[14],"of":[15,38,43,48,81,98,188,200],"mobility":[16,190],"and":[17,45,58,67,78,83,120,143,163,168,202],"flexibility.":[18],"This":[19],"paper":[20],"proposes":[21],"a":[22,103,135],"rolling":[23,110],"integrated":[24,52,153],"service":[25],"restoration":[26],"strategy":[27,53,97],"minimize":[29],"the":[30,36,62,68,79,121,129,169,172,186,198],"total":[31],"cost":[33],"by":[34,102],"coordinating":[35],"scheduling":[37,123],"MESS":[39,189],"fleets,":[40],"resource":[41],"dispatching":[42],"microgrids,":[44],"network":[46,107,162],"reconfiguration":[47],"systems.":[50,72,182],"The":[51,73,95,146,183],"takes":[54],"into":[55],"account":[56],"damage":[57],"repair":[59],"both":[61],"roads":[63,82],"transportation":[65,161,174],"networks":[66],"branches":[69,84],"uncertainties":[74],"load":[76],"consumption":[77],"status":[80],"are":[85],"modeled":[86,101],"as":[87,134],"scenario":[88],"trees":[89],"using":[90],"Monte":[91],"Carlo":[92],"simulation":[93],"method.":[94],"operation":[96,144],"MESSs":[99],"is":[100,113,132,149,157,171],"stochastic":[104,137],"multi-layer":[105],"time-space":[106],"technique.":[108],"A":[109],"optimization":[111],"framework":[112],"adopted":[114],"dynamically":[116],"update":[117],"damage,":[119],"coordinated":[122],"at":[124],"each":[125],"time":[126],"interval":[127],"over":[128],"prediction":[130],"horizon":[131],"formulated":[133],"two-stage":[136],"mixed-integer":[138],"linear":[139],"program":[140],"with":[141,158],"temporal-spatial":[142],"constraints.":[145],"proposed":[147],"model":[148],"verified":[150],"on":[151],"two":[152],"test":[154,176],"systems,":[155,167],"one":[156],"Sioux":[159],"Falls":[160],"four":[164],"33-bus":[165,180],"other":[170],"Singapore":[173],"network-based":[175],"connecting":[178],"six":[179],"results":[184],"demonstrate":[185],"effectiveness":[187],"due":[196],"coordination":[199],"mobile":[201],"stationary":[203],"resources.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":62},{"year":2024,"cited_by_count":62},{"year":2023,"cited_by_count":50},{"year":2022,"cited_by_count":45},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-08T08:47:23.578185","created_date":"2019-05-29T00:00:00"}