{"id":"https://openalex.org/W6944664160","doi":"https://doi.org/10.21227/n4x4-yg82","title":"More Efficient Energy Management for Hybrid AC/DC Microgrids with Hard Constrained Neural Network-Based Conversion Loss Surrogate Models","display_name":"More Efficient Energy Management for Hybrid AC/DC Microgrids with Hard Constrained Neural Network-Based Conversion Loss Surrogate Models","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W6944664160","doi":"https://doi.org/10.21227/n4x4-yg82"},"language":"en","primary_location":{"id":"doi:10.21227/n4x4-yg82","is_oa":true,"landing_page_url":"https://doi.org/10.21227/n4x4-yg82","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/n4x4-yg82","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liu, Xuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Xuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/microgrid","display_name":"Microgrid","score":0.47189998626708984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4627000093460083},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.4507000148296356},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4401000142097473},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.43320000171661377},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4171000123023987},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4169999957084656},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4154999852180481},{"id":"https://openalex.org/keywords/power-system-simulation","display_name":"Power system simulation","score":0.4072999954223633}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6316999793052673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615000128746033},{"id":"https://openalex.org/C2776784348","wikidata":"https://www.wikidata.org/wiki/Q5762595","display_name":"Microgrid","level":3,"score":0.47189998626708984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.4507000148296356},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.43320000171661377},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4171000123023987},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C116219307","wikidata":"https://www.wikidata.org/wiki/Q7236625","display_name":"Power system simulation","level":4,"score":0.4072999954223633},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.32659998536109924},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C144822601","wikidata":"https://www.wikidata.org/wiki/Q11271324","display_name":"Energy transformation","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.26649999618530273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/n4x4-yg82","is_oa":true,"landing_page_url":"https://doi.org/10.21227/n4x4-yg82","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/n4x4-yg82","is_oa":true,"landing_page_url":"https://doi.org/10.21227/n4x4-yg82","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.909714937210083}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conversion":[0],"loss":[1],"modeling":[2],"plays":[3],"a":[4,128,145],"crucial":[5],"role":[6],"in":[7],"hybrid":[8],"AC/DC":[9],"microgrid":[10],"(MG)":[11],"energy":[12,123,192],"management":[13,124],"(EM).":[14],"However,":[15],"accurate":[16],"calculation":[17],"of":[18,103],"the":[19,70,91,100,104,117,158,168,182,201,212,216],"conversion":[20,58,174],"losses":[21,59,175],"is":[22,125],"often":[23],"very":[24],"costly.":[25],"Additionally,":[26],"existing":[27],"surrogate":[28,47,170],"models":[29,48],"typically":[30],"rely":[31],"on":[32,50],"fixed-voltage":[33],"DC":[34,65,183],"buses,":[35],"leading":[36],"to":[37,95,116,187],"excessive":[38],"voltage":[39,185],"magnitudes.":[40],"To":[41,98,138],"overcome":[42],"these":[43],"limitations,":[44],"we":[45,143],"propose":[46,144],"based":[49],"piecewise":[51],"linear":[52,80],"neural":[53],"networks":[54],"(NNs)":[55],"that":[56],"estimate":[57],"using":[60],"converter":[61],"power":[62],"and":[63,110,194,198],"variable-voltage":[64],"buses.":[66],"These":[67],"NNs":[68],"employs":[69],"Rectified":[71],"Linear":[72],"Unit":[73],"(ReLU)":[74],"activation":[75],"function,":[76],"allowing":[77],"reformulation":[78],"into":[79],"constraints.":[81],"During":[82],"NN":[83,106,118,202,217],"training,":[84],"additional":[85],"hard":[86,178],"constraints":[87],"are":[88,114],"enforced":[89],"via":[90],"augmented":[92],"Lagrangian":[93],"method":[94],"enhance":[96],"feasibility.":[97],"limit":[99],"computational":[101,159,213],"cost":[102],"reformulated":[105],"constraints,":[107,179],"weights":[108],"sparsity":[109],"ReLU":[111],"stability":[112],"regularizations":[113],"applied":[115],"training":[119],"process.":[120],"The":[121],"efficient":[122,189],"implemented":[126],"as":[127],"two-stage":[129],"stochastic":[130],"unit":[131],"commitment":[132],"(UC)":[133],"problem":[134],"with":[135,152,205,215],"integer":[136],"recourse.":[137],"solve":[139],"this":[140],"UC":[141],"problem,":[142],"finite":[146],"iteration":[147],"convergent":[148],"Benders":[149,206],"decomposition":[150,207],"algorithm":[151],"several":[153],"acceleration":[154,208],"techniques,":[155],"which":[156],"reduce":[157],"burden":[160],"significantly.":[161],"Our":[162],"case":[163],"study":[164],"demonstrates":[165],"that:":[166],"1)":[167],"proposed":[169],"model":[171],"accurately":[172],"approximates":[173],"while":[176],"satisfying":[177],"2)":[180],"optimizing":[181],"bus":[184],"leads":[186],"more":[188],"system":[190],"operation,":[191],"savings,":[193],"better":[195],"overall":[196],"performance,":[197],"3)":[199],"combining":[200],"weight":[203],"optimization":[204],"techniques":[209],"significantly":[210],"reduces":[211],"associated":[214],"surrogates.":[218]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
