{"id":"https://openalex.org/W4308216307","doi":"https://doi.org/10.1109/allerton49937.2022.9929382","title":"Wholesale Market Participation of Storage with State-of-Charge Dependent Bids","display_name":"Wholesale Market Participation of Storage with State-of-Charge Dependent Bids","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4308216307","doi":"https://doi.org/10.1109/allerton49937.2022.9929382"},"language":"en","primary_location":{"id":"doi:10.1109/allerton49937.2022.9929382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton49937.2022.9929382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-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/A5100427106","display_name":"Cong Chen","orcid":"https://orcid.org/0000-0002-0547-2889"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Chen","raw_affiliation_strings":["Cornell University,Ithaca,NY,USA,14853"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Ithaca,NY,USA,14853","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044316824","display_name":"Lang Tong","orcid":"https://orcid.org/0000-0003-3322-2681"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lang Tong","raw_affiliation_strings":["Cornell University,Ithaca,NY,USA,14853"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Ithaca,NY,USA,14853","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.277,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53994354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9983000159263611,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9983000159263611,"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":0.993399977684021,"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/T10424","display_name":"Electric Power System Optimization","score":0.9868999719619751,"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/economic-dispatch","display_name":"Economic dispatch","score":0.7338144779205322},{"id":"https://openalex.org/keywords/market-clearing","display_name":"Market clearing","score":0.692038893699646},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5808125138282776},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5693836212158203},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.5301901698112488},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5234113335609436},{"id":"https://openalex.org/keywords/marginal-cost","display_name":"Marginal cost","score":0.494926393032074},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.43817704916000366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41435468196868896},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4068410396575928},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3961208760738373},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3865327835083008},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34643569588661194},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.33178478479385376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16953179240226746},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.14029273390769958}],"concepts":[{"id":"https://openalex.org/C187633118","wikidata":"https://www.wikidata.org/wiki/Q1317949","display_name":"Economic dispatch","level":4,"score":0.7338144779205322},{"id":"https://openalex.org/C14981831","wikidata":"https://www.wikidata.org/wiki/Q1713661","display_name":"Market clearing","level":2,"score":0.692038893699646},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5808125138282776},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5693836212158203},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.5301901698112488},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5234113335609436},{"id":"https://openalex.org/C66887028","wikidata":"https://www.wikidata.org/wiki/Q382444","display_name":"Marginal cost","level":2,"score":0.494926393032074},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.43817704916000366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41435468196868896},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4068410396575928},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3961208760738373},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3865327835083008},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34643569588661194},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.33178478479385376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16953179240226746},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.14029273390769958},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton49937.2022.9929382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton49937.2022.9929382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G5484513413","display_name":null,"funder_award_id":"2218110,1932501","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1895419283","https://openalex.org/W2044005487","https://openalex.org/W2052534888","https://openalex.org/W2077937117","https://openalex.org/W2110819978","https://openalex.org/W2530592491","https://openalex.org/W2803590724","https://openalex.org/W2907118392","https://openalex.org/W2910748216","https://openalex.org/W2951289974","https://openalex.org/W2951890213","https://openalex.org/W2997080497","https://openalex.org/W3110995579","https://openalex.org/W3118308946","https://openalex.org/W3121058654","https://openalex.org/W3128915251","https://openalex.org/W4206210180","https://openalex.org/W4213435226","https://openalex.org/W4224232784","https://openalex.org/W4250589301","https://openalex.org/W4296286006","https://openalex.org/W4308216307","https://openalex.org/W4317515963","https://openalex.org/W4319302739","https://openalex.org/W6756968229","https://openalex.org/W6839886776","https://openalex.org/W6843387358","https://openalex.org/W6846272190"],"related_works":["https://openalex.org/W2520111625","https://openalex.org/W3125104380","https://openalex.org/W2067989935","https://openalex.org/W2109396882","https://openalex.org/W3003203100","https://openalex.org/W2131426918","https://openalex.org/W1589447778","https://openalex.org/W1836481447","https://openalex.org/W2908405918","https://openalex.org/W2096554289"],"abstract_inverted_index":{"Wholesale":[0],"market":[1,28,66],"participation":[2],"of":[3,64],"storage":[4],"with":[5,103],"state-of-charge":[6],"(SoC)":[7],"dependent":[8],"bids":[9,57],"results":[10],"in":[11,15,26,68,88],"a":[12,16,22,99],"non-convex":[13],"cost":[14],"multi-interval":[17,72],"economic":[18,34,73],"dispatch,":[19],"which":[20],"requires":[21],"mixed-integer":[23],"linear":[24,42],"program":[25,43],"the":[27,33,40,45,49,70,80,89],"clearing.":[29],"We":[30],"show":[31],"that":[32,108],"dispatch":[35,74,83],"can":[36],"be":[37],"convexified":[38],"to":[39,60,97],"standard":[41],"when":[44],"SoC-dependent":[46,105],"bid":[47,106],"satisfies":[48],"equal":[50],"decremental-cost":[51],"ratio":[52],"(EDCR)":[53],"condition.":[54],"Such":[55],"EDCR":[56],"are":[58],"shown":[59],"support":[61],"individual":[62],"rationalities":[63],"all":[65],"participants":[67],"both":[69],"day-ahead":[71],"under":[75,84],"locational":[76],"marginal":[77,86],"pricing":[78,87],"and":[79],"rolling-window":[81],"look-ahead":[82],"temporal-locational":[85],"real-time":[90],"market.":[91],"A":[92],"numerical":[93],"example":[94],"is":[95],"presented":[96],"demonstrate":[98],"higher":[100],"profit":[101],"margin":[102],"an":[104,110],"over":[107],"from":[109],"SoC-independent":[111],"bid.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
