{"id":"https://openalex.org/W2507662801","doi":"https://doi.org/10.1109/pscc.2016.7541033","title":"Reducing the computational effort of stochastic multi-period DC optimal power flow with storage","display_name":"Reducing the computational effort of stochastic multi-period DC optimal power flow with storage","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2507662801","doi":"https://doi.org/10.1109/pscc.2016.7541033","mag":"2507662801"},"language":"en","primary_location":{"id":"doi:10.1109/pscc.2016.7541033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pscc.2016.7541033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Power Systems Computation Conference (PSCC)","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/A5034272252","display_name":"Olivier M\u00e9gel","orcid":"https://orcid.org/0000-0003-2543-641X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Olivier Megel","raw_affiliation_strings":["ETH Z\u00fcrich, Power Systems Laboratory, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Power Systems Laboratory, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089346574","display_name":"G\u00f6ran Andersson","orcid":"https://orcid.org/0000-0002-7715-7087"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Goran Andersson","raw_affiliation_strings":["ETH Z\u00fcrich, Power Systems Laboratory, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Power Systems Laboratory, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015257057","display_name":"Johanna L. Mathieu","orcid":"https://orcid.org/0000-0001-8834-5350"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johanna L. Mathieu","raw_affiliation_strings":["Electrical and Computer Engineering, University of Michigan, Ann Arbor, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4218,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88380302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9986000061035156,"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/computation","display_name":"Computation","score":0.7079663276672363},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6675215363502502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6159610748291016},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.5563548803329468},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4977143108844757},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.46965542435646057},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.4301123023033142},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.42055845260620117},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4124046564102173},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3972431421279907},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3674234449863434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21587282419204712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1805247664451599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11696380376815796}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7079663276672363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6675215363502502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6159610748291016},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.5563548803329468},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4977143108844757},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.46965542435646057},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.4301123023033142},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.42055845260620117},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4124046564102173},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3972431421279907},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3674234449863434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21587282419204712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1805247664451599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11696380376815796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pscc.2016.7541033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pscc.2016.7541033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Power Systems Computation Conference (PSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W146396592","https://openalex.org/W1540224075","https://openalex.org/W1675674055","https://openalex.org/W1971860245","https://openalex.org/W1993588054","https://openalex.org/W1996730948","https://openalex.org/W2053560309","https://openalex.org/W2056587918","https://openalex.org/W2083775912","https://openalex.org/W2097535806","https://openalex.org/W2112078478","https://openalex.org/W2536620281","https://openalex.org/W4244258451","https://openalex.org/W4245877400","https://openalex.org/W4300801415"],"related_works":["https://openalex.org/W2922314686","https://openalex.org/W1789848037","https://openalex.org/W2371283136","https://openalex.org/W2107924917","https://openalex.org/W3004192664","https://openalex.org/W1481766746","https://openalex.org/W4224283474","https://openalex.org/W3112134528","https://openalex.org/W2041295440","https://openalex.org/W2025513168"],"abstract_inverted_index":{"Due":[0],"to":[1,14,38,43,109,130,156,233],"the":[2,22,44,54,62,96,100,110,119,122,161,165,169,178,184,192,199,205,209],"increase":[3,72,172],"of":[4,99,151,160,164,177,187,198,203,240],"intermittent":[5],"renewable":[6,16],"energy":[7],"sources,":[8],"it":[9],"is":[10,57,91,173],"becoming":[11],"more":[12,59,226],"important":[13],"consider":[15],"generation":[17],"forecast":[18,34],"error":[19],"when":[20,73],"solving":[21,84],"optimal":[23],"power":[24],"flow":[25],"(OPF)":[26],"problem.":[27,88],"The":[28,113],"stochastic":[29,55,101,120,166,179],"OPF,":[30,47,124,167],"which":[31,48,230],"uses":[32,49],"multiple":[33],"scenarios,":[35],"generally":[36],"leads":[37,155],"a":[39,50,85,92,105,134],"lower":[40],"cost":[41,66,97,162,210],"compared":[42],"standard":[45],"deterministic":[46,63,111,123],"single":[51],"forecast.":[52],"However,":[53],"OPF":[56,87,102,180],"computationally":[58],"demanding":[60],"than":[61],"OPF.":[64,112],"Both":[65],"savings":[67],"and":[68,121,125],"computation":[69,170],"times":[70],"further":[71,217],"storage":[74],"units":[75],"or":[76,208],"ramp-constrained":[77],"generators":[78],"are":[79],"included,":[80],"as":[81],"they":[82],"require":[83],"multi-period":[86],"Our":[89],"contribution":[90],"hybrid":[93,153],"method":[94,114,154,189,200,221],"approaching":[95],"performance":[98],"while":[103,168],"maintaining":[104],"computational":[106,185,206],"burden":[107],"close":[108],"combines":[115],"elements":[116],"from":[117],"both":[118],"relies":[126],"on":[127,145],"Benders":[128],"Cuts":[129],"interface":[131],"them.":[132],"Using":[133],"receding":[135],"horizon":[136],"approach":[137],"over":[138],"one":[139,149,231],"year,":[140],"we":[141],"find":[142],"that,":[143],"based":[144],"eleven":[146],"test":[147],"cases,":[148],"version":[150],"our":[152,188,220],"at":[157,174],"least":[158],"70%":[159],"improvement":[163,207],"time":[171,181],"most":[175],"40%":[176],"increase.":[182],"Furthermore,":[183],"advantage":[186],"increases":[190],"with":[191,237],"system":[193],"size.":[194],"Two":[195],"different":[196,238],"versions":[197],"allow":[201],"favoring":[202],"either":[204],"improvement.":[211,218],"We":[212],"also":[213],"identify":[214],"directions":[215],"for":[216,225],"Finally,":[219],"can":[222],"be":[223],"used":[224],"general":[227],"problems":[228],"in":[229],"wishes":[232],"combine":[234],"two":[235],"models":[236],"levels":[239],"complexity.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}