{"id":"https://openalex.org/W2033665995","doi":"https://doi.org/10.1109/cdc.2013.6759919","title":"Profit maximizing storage allocation in power grids","display_name":"Profit maximizing storage allocation in power grids","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2033665995","doi":"https://doi.org/10.1109/cdc.2013.6759919","mag":"2033665995"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2013.6759919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2013.6759919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"52nd IEEE Conference on Decision and Control","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007259749","display_name":"Anya Castillo","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anya Castillo","raw_affiliation_strings":["Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD, USA","Dept. of Geogr. & Environ. Eng., Johns Hopkins Univ., Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Geogr. & Environ. Eng., Johns Hopkins Univ., Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074209155","display_name":"Dennice F. Gayme","orcid":"https://orcid.org/0000-0003-0330-415X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dennice F. Gayme","raw_affiliation_strings":["Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA","Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":4.8636,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96251597,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9951000213623047,"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":0.9951000213623047,"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":0.9904000163078308,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9758999943733215,"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/computer-science","display_name":"Computer science","score":0.6134979724884033},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.4868873655796051},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.21834057569503784},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1390204131603241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134979724884033},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.4868873655796051},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.21834057569503784},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1390204131603241}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2013.6759919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2013.6759919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"52nd IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1499786976","https://openalex.org/W1996730948","https://openalex.org/W2011837469","https://openalex.org/W2023872652","https://openalex.org/W2030328066","https://openalex.org/W2032417528","https://openalex.org/W2057668341","https://openalex.org/W2086664392","https://openalex.org/W2104318460","https://openalex.org/W2106424475","https://openalex.org/W2113369277","https://openalex.org/W2141380252","https://openalex.org/W2142737363","https://openalex.org/W2142874296","https://openalex.org/W2148942994","https://openalex.org/W2153837345","https://openalex.org/W2163344992","https://openalex.org/W2165642550","https://openalex.org/W2291848648","https://openalex.org/W6629998588","https://openalex.org/W6681442390","https://openalex.org/W6682394291"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2096946506","https://openalex.org/W2350741829","https://openalex.org/W3004735627","https://openalex.org/W2130043461"],"abstract_inverted_index":{"This":[0],"work":[1],"investigates":[2],"the":[3,10,62,66,71,76,79,83,95,100,126,132],"interaction":[4],"between":[5,78],"nodal":[6,101],"price":[7,91],"signals":[8,92],"and":[9,13,38,60,82,114,117,122],"optimal":[11,31],"allocation":[12],"operation":[14],"of":[15],"distributed":[16],"energy":[17,42],"storage":[18,43,63,72,80,119,127,148],"systems":[19],"(ESS)":[20],"in":[21,135],"alternating":[22],"current":[23],"(AC)":[24],"power":[25,32,103],"networks.":[26],"We":[27,49,69,140],"model":[28],"a":[29,52,136],"multi-period":[30],"flow":[33,104],"(OPF)":[34],"problem":[35],"with":[36,45,99],"charge":[37],"discharge":[39],"dynamics":[40],"for":[41],"collocated":[44],"load":[46],"and/or":[47],"generation.":[48],"then":[50,141],"apply":[51],"convex":[53],"relaxation":[54],"based":[55],"on":[56],"semidefinite":[57],"programming":[58],"(SDP)":[59],"derive":[61],"subproblem":[64,73],"from":[65],"Lagrangian":[67],"dual.":[68],"use":[70,142],"to":[74,124,145],"investigate":[75],"relationship":[77],"variables":[81,97],"locational":[84],"marginal":[85],"prices":[86],"(LMPs),":[87],"which":[88],"are":[89],"market-based":[90],"defined":[93],"by":[94],"dual":[96],"associated":[98],"active":[102],"balance.":[105],"Our":[106],"theoretical":[107],"results":[108],"prove":[109],"that":[110,118],"LMPs":[111],"drive":[112],"charging":[113],"discharging":[115],"dynamics,":[116],"is":[120],"allocated":[121],"operated":[123],"maximize":[125],"operator's":[128],"profits,":[129],"i.e.":[130],"minimize":[131],"system":[133],"costs":[134],"purely":[137],"competitive":[138],"market.":[139],"this":[143],"framework":[144],"illustrate":[146],"LMP-based":[147],"dynamics.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
