Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies
This study proposes a model predictive control (MPC)-based home energy management system for residential microgrid (RM) in which all related information such as the time-varying information of the load demand, electricity price and renewable energy generations, are all taken into account. A novel fi...
Uložené v:
| Vydané v: | IET generation, transmission & distribution Ročník 10; číslo 10; s. 2367 - 2378 |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
The Institution of Engineering and Technology
07.07.2016
|
| Predmet: | |
| ISSN: | 1751-8687, 1751-8695 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This study proposes a model predictive control (MPC)-based home energy management system for residential microgrid (RM) in which all related information such as the time-varying information of the load demand, electricity price and renewable energy generations, are all taken into account. A novel finite-horizon mixed-integer linear programming problem is iteratively formulated to investigate the optimal control actions of the RM under an MPC framework. Three case studies are conducted to discuss the technical and economic impacts of the responsive electrical and thermal loads, plug-in hybrid electric vehicles, and electrical and thermal energy storage units. Moreover, a sensitivity analysis is performed to demonstrate the superiority of the proposed approach when forecasts of related information are imperfect. |
|---|---|
| AbstractList | This study proposes a model predictive control (MPC)‐based home energy management system for residential microgrid (RM) in which all related information such as the time‐varying information of the load demand, electricity price and renewable energy generations, are all taken into account. A novel finite‐horizon mixed‐integer linear programming problem is iteratively formulated to investigate the optimal control actions of the RM under an MPC framework. Three case studies are conducted to discuss the technical and economic impacts of the responsive electrical and thermal loads, plug‐in hybrid electric vehicles, and electrical and thermal energy storage units. Moreover, a sensitivity analysis is performed to demonstrate the superiority of the proposed approach when forecasts of related information are imperfect. |
| Author | Guo, Bo Zhang, Yan Liu, Yajie Wang, Rui Zhang, Tao |
| Author_xml | – sequence: 1 givenname: Yan surname: Zhang fullname: Zhang, Yan email: zy331214534@126.com organization: College of Information System and Management, National University of Defense Technology, Changsha 410073, People's Republic of China – sequence: 2 givenname: Rui surname: Wang fullname: Wang, Rui organization: College of Information System and Management, National University of Defense Technology, Changsha 410073, People's Republic of China – sequence: 3 givenname: Tao surname: Zhang fullname: Zhang, Tao organization: College of Information System and Management, National University of Defense Technology, Changsha 410073, People's Republic of China – sequence: 4 givenname: Yajie surname: Liu fullname: Liu, Yajie organization: College of Information System and Management, National University of Defense Technology, Changsha 410073, People's Republic of China – sequence: 5 givenname: Bo surname: Guo fullname: Guo, Bo organization: College of Information System and Management, National University of Defense Technology, Changsha 410073, People's Republic of China |
| BookMark | eNqFkcFuFSEUhiemJrbVB3DHUhdzhRkYwJ3WtjapcXO7JgycGWlmYARum76Iz1umtzHGNO3qQM7__QfOf1Qd-OChqt4TvCGYyk8Ocj1mu2kwYRtCGv6qOiSckVp0kh38PQv-pjpK6RpjxjrKD6s_P4KFCS0RrDPZ3QAywecYprrXCSwKC0SdXfBo1l6PMIPPaAgRaRQhOVuuTk9odiaGMTqLbl3-tXqsvej8uIrB6JTRzhuIWbtCQELaW2RhXksxWgoAKOUyC8bSflu9HvSU4N1jPa6uzk63J9_ry5_nFydfLmtDMelqOnRt0wsqZW_bluGOCdtyEIz3XAyMGkp4x6XBkvNGUiMwp5SQvuklsbKl7XH1Ye-7xPB7Bymr2SUD06Q9hF1SRFAmcMtbUaR8Ly0_TSnCoIzLD6spr3aTIlitSaiShCpJqDUJtSZRSPIfuUQ363j3LPN5z9y6Ce5eBtT59lvz9QxjibsC13t4lV2HXfRlh88O-_iE_uJ0u7r-M2OxQ3sPt0XBcw |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2018_2889762 crossref_primary_10_1109_JSYST_2020_3016358 crossref_primary_10_1109_JESTPE_2018_2884346 crossref_primary_10_1515_ijeeps_2017_0218 crossref_primary_10_1109_TASE_2022_3148856 crossref_primary_10_3390_en12030426 crossref_primary_10_1016_j_est_2020_101704 crossref_primary_10_1049_iet_rpg_2017_0381 crossref_primary_10_1109_TEMPR_2023_3251325 crossref_primary_10_1109_TPEL_2018_2831673 crossref_primary_10_1016_j_segan_2023_101033 crossref_primary_10_1007_s40998_018_0125_x crossref_primary_10_1016_j_apenergy_2019_113689 crossref_primary_10_1016_j_epsr_2023_109262 crossref_primary_10_1186_s13677_024_00669_x crossref_primary_10_1002_asjc_3538 crossref_primary_10_1016_j_rser_2022_112095 crossref_primary_10_23919_JSEE_2023_000036 crossref_primary_10_1016_j_enbuild_2022_112712 crossref_primary_10_1109_TSG_2019_2896182 crossref_primary_10_3390_app10051627 crossref_primary_10_1016_j_ijepes_2021_107339 crossref_primary_10_1016_j_energy_2025_136249 crossref_primary_10_1049_iet_rpg_2020_0096 crossref_primary_10_1016_j_apenergy_2020_114963 crossref_primary_10_3390_en14092569 crossref_primary_10_1016_j_rser_2021_111385 crossref_primary_10_1109_ACCESS_2020_3045459 crossref_primary_10_1109_JSYST_2022_3168270 crossref_primary_10_1109_TIA_2022_3209170 crossref_primary_10_1016_j_enconman_2020_113205 crossref_primary_10_1109_TII_2019_2897126 crossref_primary_10_1016_j_apenergy_2023_121106 crossref_primary_10_1109_TSG_2018_2890108 crossref_primary_10_1049_iet_gtd_2016_0689 crossref_primary_10_1061__ASCE_EY_1943_7897_0000670 crossref_primary_10_1049_iet_gtd_2016_0923 crossref_primary_10_1109_JPETS_2018_2878329 crossref_primary_10_1016_j_apenergy_2021_116760 crossref_primary_10_1109_TSG_2017_2647958 crossref_primary_10_1016_j_rser_2024_114466 crossref_primary_10_1016_j_rser_2019_109337 crossref_primary_10_1016_j_apenergy_2017_10_002 crossref_primary_10_1016_j_scs_2021_103381 crossref_primary_10_1109_ACCESS_2022_3163724 crossref_primary_10_1016_j_scs_2018_05_044 crossref_primary_10_1109_ACCESS_2020_3021598 crossref_primary_10_1109_TSTE_2017_2771359 crossref_primary_10_1016_j_ijepes_2017_10_007 crossref_primary_10_1007_s12652_021_03556_4 crossref_primary_10_1109_TPEL_2025_3586709 crossref_primary_10_1109_TSTE_2020_3017224 crossref_primary_10_1109_TSG_2024_3493958 crossref_primary_10_3390_en11123312 crossref_primary_10_1109_ACCESS_2018_2889500 crossref_primary_10_1016_j_apenergy_2021_116671 crossref_primary_10_1109_ACCESS_2021_3129980 crossref_primary_10_4028_p_42m5ip crossref_primary_10_1007_s42835_019_00094_0 crossref_primary_10_1049_iet_gtd_2016_1078 crossref_primary_10_1109_TSG_2017_2703126 crossref_primary_10_1016_j_enbuild_2017_06_041 crossref_primary_10_1016_j_est_2018_12_009 crossref_primary_10_1049_iet_gtd_2019_1952 crossref_primary_10_1016_j_renene_2017_10_113 crossref_primary_10_1049_iet_rpg_2018_5567 crossref_primary_10_1002_ese3_2095 crossref_primary_10_1016_j_ins_2018_03_039 crossref_primary_10_1016_j_apenergy_2020_115118 crossref_primary_10_1007_s40565_019_0536_3 crossref_primary_10_1109_TIA_2019_2932963 crossref_primary_10_1109_TSTE_2018_2803342 crossref_primary_10_3390_en15217846 crossref_primary_10_1109_TTE_2024_3396878 crossref_primary_10_1080_15325008_2018_1564227 crossref_primary_10_1016_j_ijepes_2019_02_033 crossref_primary_10_1016_j_apenergy_2023_121328 crossref_primary_10_1016_j_apenergy_2018_06_087 crossref_primary_10_1016_j_energy_2019_01_104 crossref_primary_10_1049_iet_cps_2018_5037 crossref_primary_10_1109_TTE_2020_2992693 |
| Cites_doi | 10.1016/j.solener.2014.07.025 10.1016/S0377‐2217(01)00194‐1 10.1049/iet‐gtd.2014.0206 10.1049/iet‐gtd.2012.0145 10.1016/j.ins.2013.08.049 10.1016/j.apenergy.2012.01.056 10.1109/TEVC.2012.2204264 10.1016/j.ejor.2014.05.019 10.1109/NAPS.2012.6336383 10.1109/TSG.2013.2265239 10.1109/NAPS.2011.6024888 10.1016/j.enconman.2013.04.038 10.1109/TCST.2013.2295737 10.1016/j.energy.2012.03.049 10.1016/j.energy.2010.03.034 10.1109/TSG.2010.2055903 10.1109/ISAP.2009.5352820 10.1016/j.apenergy.2012.02.024 10.1109/PowerEng.2013.6635850 10.1016/S0005‐1098(98)00178‐2 10.1016/j.apenergy.2014.04.010 10.1109/TSG.2013.2279171 |
| ContentType | Journal Article |
| Copyright | The Institution of Engineering and Technology 2016 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
| Copyright_xml | – notice: The Institution of Engineering and Technology – notice: 2016 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
| DBID | AAYXX CITATION 7SP 7TB 8FD F28 FR3 KR7 L7M |
| DOI | 10.1049/iet-gtd.2015.1127 |
| DatabaseName | CrossRef Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Civil Engineering Abstracts Advanced Technologies Database with Aerospace |
| DatabaseTitle | CrossRef Civil Engineering Abstracts Technology Research Database Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts Engineering Research Database Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitleList | CrossRef Civil Engineering Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1751-8695 |
| EndPage | 2378 |
| ExternalDocumentID | 10_1049_iet_gtd_2015_1127 GTD2BF00906 |
| Genre | article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China funderid: 61403404; 71571187 – fundername: National University of Defense Technology funderid: JC14-05-01 |
| GroupedDBID | 0R 24P 29I 4IJ 6IK 8VB AAJGR ABPTK ACIWK ALMA_UNASSIGNED_HOLDINGS BFFAM ESX HZ IFIPE IPLJI JAVBF LAI LOTEE LXI M43 MS NADUK NXXTH O9- OCL QWB RIE RNS RUI U5U UNMZH UNR ZL0 .DC 0R~ 0ZK 1OC 4.4 8FE 8FG 96U AAHHS AAHJG ABJCF ABQXS ACCFJ ACCMX ACESK ACXQS ADEYR ADZOD AEEZP AEGXH AEQDE AFAZI AFKRA AIWBW AJBDE ALUQN ARAPS AVUZU BENPR BGLVJ CCPQU EBS EJD F8P GOZPB GROUPED_DOAJ GRPMH HCIFZ HZ~ IAO IGS ITC K1G L6V M7S MCNEO MS~ OK1 P62 PTHSS ROL S0W AAYXX AFFHD CITATION IDLOA PHGZM PHGZT PQGLB WIN 7SP 7TB 8FD F28 FR3 KR7 L7M |
| ID | FETCH-LOGICAL-c4016-4f632b8499bd3350658d37e857b78f54c417679c0977294c8074411b2b91d9343 |
| IEDL.DBID | 24P |
| ISICitedReferencesCount | 97 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000380259200010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1751-8687 |
| IngestDate | Sun Nov 09 14:25:50 EST 2025 Wed Oct 29 21:16:56 EDT 2025 Tue Nov 18 20:20:11 EST 2025 Wed Jan 22 16:32:30 EST 2025 Tue Jan 05 21:52:26 EST 2021 Thu May 09 18:04:45 EDT 2019 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 10 |
| Keywords | iterative methods integer programming sensitivity analysis plug-in hybrid electric vehicle power generation control linear programming renewable energy generation distributed power generation model predictive control-based operation management electrical energy storage unit thermal energy storage power generation economics responsive electrical load power grids demand forecasting renewable energy sources electricity price RM optimal control action optimal control finite-horizon mixed-integer linear programming problem thermal energy storage unit MPC-based home energy management system responsive thermal load forecast uncertainty energy management systems demand response strategy load demand time-varying information residential microgrid hybrid electric vehicles demand side management predictive control pricing iterative formulation |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4016-4f632b8499bd3350658d37e857b78f54c417679c0977294c8074411b2b91d9343 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 1845803738 |
| PQPubID | 23500 |
| PageCount | 12 |
| ParticipantIDs | proquest_miscellaneous_1845803738 crossref_citationtrail_10_1049_iet_gtd_2015_1127 crossref_primary_10_1049_iet_gtd_2015_1127 iet_journals_10_1049_iet_gtd_2015_1127 wiley_primary_10_1049_iet_gtd_2015_1127_GTD2BF00906 |
| ProviderPackageCode | RUI |
| PublicationCentury | 2000 |
| PublicationDate | 2016-07-07 |
| PublicationDateYYYYMMDD | 2016-07-07 |
| PublicationDate_xml | – month: 07 year: 2016 text: 2016-07-07 day: 07 |
| PublicationDecade | 2010 |
| PublicationTitle | IET generation, transmission & distribution |
| PublicationYear | 2016 |
| Publisher | The Institution of Engineering and Technology |
| Publisher_xml | – name: The Institution of Engineering and Technology |
| References | Wang, R.; Purshouse, R.C.; Fleming, P.J. (C23) 2015; 243 Kriett, P.O.; Salani, M. (C7) 2012; 42 Di Giorgio, A.; Pimpinella, L. (C5) 2012; 96 Mohsenian-Rad, A.-H.; Leon-Garcia, A. (C11) 2010; 1 Yu, Z.; Jia, L.; Murphy-Hoye, M. (C6) 2013; 4 Bemporad, A.; Morari, M. (C12) 1999; 35 Wang, R.; Fleming, P.; Purshouse, R. (C21) 2014; 258 Tazvinga, H.; Zhu, B.; Xia, X. (C9) 2014; 108 Rastegar, M.; Fotuhi-Firuzabad, M.; Aminifar, F. (C3) 2012; 96 Parisio, A.; Rikos, E.; Glielmo, L. (C13) 2014; 22 Chen, C.; Wang, J.; Heo, Y. (C8) 2013; 4 Kuzlu, M. (C24) 2015; 9 Lior, N. (C1) 2010; 35 Deese, A.S.; Carrigan, B.; Stein, E. (C16) 2013; 7 Wang, R.; Purshouse, R.C.; Fleming, P.J. (C22) 2013; 17 Li, H.-L.; Chang, C.-T.; Tsai, J.-F. (C10) 2002; 140 Zhang, D.; Shah, N.; Papageorgiou, L.G. (C2) 2013; 74 Erdinc, O. (C4) 2014; 126 2014; 108 2013; 4 2010; 1 2013; 17 2010; 35 2012 2011 2002; 140 2015; 243 2013; 74 1999; 35 2009 2013 2013; 7 2015; 9 2014; 126 2012; 42 2014; 22 2014; 258 2012; 96 e_1_2_8_16_2 e_1_2_8_17_2 e_1_2_8_18_2 e_1_2_8_19_2 e_1_2_8_12_2 e_1_2_8_23_2 e_1_2_8_13_2 e_1_2_8_24_2 e_1_2_8_14_2 e_1_2_8_25_2 e_1_2_8_15_2 e_1_2_8_9_2 e_1_2_8_2_2 e_1_2_8_4_2 e_1_2_8_3_2 e_1_2_8_6_2 e_1_2_8_5_2 e_1_2_8_8_2 e_1_2_8_7_2 e_1_2_8_20_2 e_1_2_8_10_2 e_1_2_8_21_2 e_1_2_8_11_2 e_1_2_8_22_2 |
| References_xml | – volume: 140 start-page: 584 issue: 3 year: 2002 end-page: 589 ident: C10 article-title: Approximately global optimization for assortment problems using piecewise linearization techniques publication-title: Eur. J. Oper. Res. – volume: 17 start-page: 474 year: 2013 end-page: 494 ident: C22 article-title: Preference-inspired co-evolutionary algorithms for many-objective optimisation publication-title: IEEE Trans. Evol. Comput. – volume: 4 start-page: 2244 issue: 4 year: 2013 end-page: 2255 ident: C6 article-title: Modeling and Stochastic control for home energy management publication-title: IEEE Trans. Smart Grid – volume: 42 start-page: 321 year: 2012 end-page: 330 ident: C7 article-title: Optimal control of a residential microgrid publication-title: Energy – volume: 74 start-page: 209 year: 2013 end-page: 222 ident: C2 article-title: Efficient energy consumption and operation management in a smart building with microgrid publication-title: Energy Convers. Manag. – volume: 35 start-page: 407 issue: 3 year: 1999 end-page: 427 ident: C12 article-title: Control of systems integrating logic, dynamics, and constraints publication-title: Automatica – volume: 126 start-page: 142 year: 2014 end-page: 150 ident: C4 article-title: Economic impacts of small-scale own generating and storage units and electric vehicles under different demand response strategies for smart households publication-title: Appl. Energy – volume: 108 start-page: 412 year: 2014 end-page: 420 ident: C9 article-title: Energy dispatch strategy for a photovoltaic–wind–diesel–battery hybrid power system publication-title: Sol. Energy – volume: 9 start-page: 627 issue: 7 year: 2015 end-page: 635 ident: C24 article-title: Score-based intelligent home energy management (HEM) algorithm for demand response applications and impact of HEM operation on customer comfort publication-title: IET Gener. Transm. Distrib. – volume: 4 start-page: 1401 issue: 3 year: 2013 end-page: 1410 ident: C8 article-title: MPC-Based appliance scheduling for residential building energy management controller publication-title: IEEE Trans. Smart Grid – volume: 1 start-page: 120 issue: 2 year: 2010 end-page: 133 ident: C11 article-title: Optimal residential load control with price prediction in real-time electricity pricing environments publication-title: IEEE Trans. Smart Grid – volume: 258 start-page: 29 year: 2014 end-page: 53 ident: C21 article-title: General framework for localised multi-objective evolutionary algorithms publication-title: Inf. Sci. – volume: 243 start-page: 423 year: 2015 end-page: 441 ident: C23 article-title: Preference-inspired co-evolutionary algorithms using weight vectors publication-title: Eur. J. Oper. Res. – volume: 96 start-page: 45 year: 2012 end-page: 54 ident: C3 article-title: Load commitment in a smart home publication-title: Appl. Energy – volume: 22 start-page: 1813 issue: 5 year: 2014 end-page: 1827 ident: C13 article-title: A model predictive control approach to microgrid operation optimization publication-title: IEEE Trans. Control Syst. Technol. – volume: 7 start-page: 357 issue: 4 year: 2013 end-page: 365 ident: C16 article-title: Automation of residential load in power distribution systems with focus on demand response publication-title: IET Gener. Transm. Distrib. – volume: 96 start-page: 92 year: 2012 end-page: 103 ident: C5 article-title: An event driven smart home controller enabling consumer economic saving and automated demand side management publication-title: Appl. Energy – volume: 35 start-page: 3976 issue: 10 year: 2010 end-page: 3994 ident: C1 article-title: Sustainable energy development: the present situation and possible paths to the future publication-title: Energy – volume: 9 start-page: 627 issue: 7 year: 2015 end-page: 635 article-title: Score‐based intelligent home energy management (HEM) algorithm for demand response applications and impact of HEM operation on customer comfort publication-title: IET Gener. Transm. Distrib. – volume: 22 start-page: 1813 issue: 5 year: 2014 end-page: 1827 article-title: A model predictive control approach to microgrid operation optimization publication-title: IEEE Trans. Control Syst. Technol. – volume: 126 start-page: 142 year: 2014 end-page: 150 article-title: Economic impacts of small‐scale own generating and storage units and electric vehicles under different demand response strategies for smart households publication-title: Appl. Energy – volume: 1 start-page: 120 issue: 2 year: 2010 end-page: 133 article-title: Optimal residential load control with price prediction in real‐time electricity pricing environments publication-title: IEEE Trans. Smart Grid – volume: 42 start-page: 321 year: 2012 end-page: 330 article-title: Optimal control of a residential microgrid publication-title: Energy – volume: 4 start-page: 1401 issue: 3 year: 2013 end-page: 1410 article-title: MPC‐Based appliance scheduling for residential building energy management controller publication-title: IEEE Trans. Smart Grid – volume: 96 start-page: 92 year: 2012 end-page: 103 article-title: An event driven smart home controller enabling consumer economic saving and automated demand side management publication-title: Appl. Energy – volume: 140 start-page: 584 issue: 3 year: 2002 end-page: 589 article-title: Approximately global optimization for assortment problems using piecewise linearization techniques publication-title: Eur. J. Oper. Res. – volume: 74 start-page: 209 year: 2013 end-page: 222 article-title: Efficient energy consumption and operation management in a smart building with microgrid publication-title: Energy Convers. Manag. – start-page: 1 year: 2009 end-page: 6 article-title: Machine learning applications for load, price and wind power prediction in power systems – start-page: 1568 year: 2013 end-page: 1573 article-title: Smart grid ready concept of a smart home prototype: a demonstration project in YTU – volume: 17 start-page: 474 year: 2013 end-page: 494 article-title: Preference‐inspired co‐evolutionary algorithms for many‐objective optimisation publication-title: IEEE Trans. Evol. Comput. – volume: 243 start-page: 423 year: 2015 end-page: 441 article-title: Preference‐inspired co‐evolutionary algorithms using weight vectors publication-title: Eur. J. Oper. Res. – volume: 108 start-page: 412 year: 2014 end-page: 420 article-title: Energy dispatch strategy for a photovoltaic–wind–diesel–battery hybrid power system publication-title: Sol. Energy – volume: 96 start-page: 45 year: 2012 end-page: 54 article-title: Load commitment in a smart home publication-title: Appl. Energy – volume: 4 start-page: 2244 issue: 4 year: 2013 end-page: 2255 article-title: Modeling and Stochastic control for home energy management publication-title: IEEE Trans. Smart Grid – start-page: 1 year: 2012 end-page: 6 article-title: A Novel ARX‐based multi‐scale spatiotemporal solar power forecast model – start-page: 1 year: 2011 end-page: 7 article-title: Optimal scheduling and operation of load aggregators with electric energy storage facing price and demand uncertainties – volume: 35 start-page: 407 issue: 3 year: 1999 end-page: 427 article-title: Control of systems integrating logic, dynamics, and constraints publication-title: Automatica – volume: 7 start-page: 357 issue: 4 year: 2013 end-page: 365 article-title: Automation of residential load in power distribution systems with focus on demand response publication-title: IET Gener. Transm. Distrib. – volume: 35 start-page: 3976 issue: 10 year: 2010 end-page: 3994 article-title: Sustainable energy development: the present situation and possible paths to the future publication-title: Energy – volume: 258 start-page: 29 year: 2014 end-page: 53 article-title: General framework for localised multi‐objective evolutionary algorithms publication-title: Inf. Sci. – year: 2013 – ident: e_1_2_8_10_2 doi: 10.1016/j.solener.2014.07.025 – ident: e_1_2_8_11_2 doi: 10.1016/S0377‐2217(01)00194‐1 – ident: e_1_2_8_25_2 doi: 10.1049/iet‐gtd.2014.0206 – ident: e_1_2_8_17_2 doi: 10.1049/iet‐gtd.2012.0145 – ident: e_1_2_8_22_2 doi: 10.1016/j.ins.2013.08.049 – ident: e_1_2_8_4_2 doi: 10.1016/j.apenergy.2012.01.056 – ident: e_1_2_8_23_2 doi: 10.1109/TEVC.2012.2204264 – ident: e_1_2_8_24_2 doi: 10.1016/j.ejor.2014.05.019 – ident: e_1_2_8_20_2 doi: 10.1109/NAPS.2012.6336383 – ident: e_1_2_8_9_2 doi: 10.1109/TSG.2013.2265239 – ident: e_1_2_8_16_2 – ident: e_1_2_8_21_2 doi: 10.1109/NAPS.2011.6024888 – ident: e_1_2_8_3_2 doi: 10.1016/j.enconman.2013.04.038 – ident: e_1_2_8_14_2 doi: 10.1109/TCST.2013.2295737 – ident: e_1_2_8_8_2 doi: 10.1016/j.energy.2012.03.049 – ident: e_1_2_8_2_2 doi: 10.1016/j.energy.2010.03.034 – ident: e_1_2_8_12_2 doi: 10.1109/TSG.2010.2055903 – ident: e_1_2_8_15_2 – ident: e_1_2_8_19_2 doi: 10.1109/ISAP.2009.5352820 – ident: e_1_2_8_6_2 doi: 10.1016/j.apenergy.2012.02.024 – ident: e_1_2_8_18_2 doi: 10.1109/PowerEng.2013.6635850 – ident: e_1_2_8_13_2 doi: 10.1016/S0005‐1098(98)00178‐2 – ident: e_1_2_8_5_2 doi: 10.1016/j.apenergy.2014.04.010 – ident: e_1_2_8_7_2 doi: 10.1109/TSG.2013.2279171 |
| SSID | ssj0055647 |
| Score | 2.4742143 |
| Snippet | This study proposes a model predictive control (MPC)-based home energy management system for residential microgrid (RM) in which all related information such... This study proposes a model predictive control (MPC)‐based home energy management system for residential microgrid (RM) in which all related information such... |
| SourceID | proquest crossref wiley iet |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 2367 |
| SubjectTerms | demand forecasting demand response strategy demand side management Distributed generation distributed power generation Economic forecasting electrical energy storage unit electricity price Electricity pricing energy management systems finite‐horizon mixed‐integer linear programming problem forecast uncertainty hybrid electric vehicles Hybrid vehicles integer programming iterative formulation iterative methods linear programming load demand time‐varying information Mathematical models model predictive control‐based operation management MPC‐based home energy management system optimal control plug‐in hybrid electric vehicle power generation control power generation economics power grids predictive control pricing renewable energy generation renewable energy sources Residential energy residential microgrid responsive electrical load responsive thermal load RM optimal control action Sensitivity analysis thermal energy storage thermal energy storage unit Transmissions (automotive) |
| Title | Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies |
| URI | http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1127 https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-gtd.2015.1127 https://www.proquest.com/docview/1845803738 |
| Volume | 10 |
| WOSCitedRecordID | wos000380259200010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library Free Content customDbUrl: eissn: 1751-8695 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: WIN dateStart: 20130101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1751-8695 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: 24P dateStart: 20130101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELbawoEeyltsecggxAHJIont2D5C6UIltOphgd4sv1Kt1M2usmnP_Qk98vv4JXicZOkKqUiISyIl47Flz3jG9vgbhF6LqvCCVRkxvOKEuYIRI4InvnSUemkzldJ0fvsiJhN5cqKOt9DBcBemw4dYb7iBZqT5GhTc2C4LSXRq4yDOQktOWwD7zDlchBHb6FaeUwn5Gwp2PEzHnJcpy1g0kzmRpRTro0317g8WG8ZpO_7e8Duve6_J_Izv_peG30N7vfeJ33fich9thfoB2r2GSfgQ_YDsaGd42cAJDsyFuI9m_3l5BSbP48UydGKD5-vYGRx9X2xwXLvP0s3fWMkcQv1Om5nHsNcLXFJm0FgJEAdnVi2ORrULSQBYV2xqj32Yw6vpQncDXrUDlsUj9HV8OD34TPr0DcTFRVtJWFXSwsq4pLKeUg6-jqciSC6skBVnjuWiFMplCjx85gCWh-W5LazKvaKMPkY79aIOTxA2ZcU9q6QzwQEmmQ3ccsoYpU4qo4oRyoZx067HNocUG2c6nbEzpWOn69jpGjpdQ6eP0Nt1kWUH7HET8Rv41qv36ibCVxuER4dT_Wn68TeBXvpqhF4OQqWjMsMJjanD4jzylYzLDMCmRogmGfp724B_8WEcfeWs3P-nUk_RnQIGLG1aP0M7bXMenqPb7qKdrZoXSZvi8_vR5BcHSSXv |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB61BQk4lLfYlodBiANS1CS2Y_sItEtXLCsOC_RmJbZTrdTNrrIpZ34Cx_4-fgkeJ1m6QioS4hQpGTuWPeN5ePwNwEtRplawMo5yXvKImZRFuXA2spmh1MoiVqFM55exmEzkyYn6tAWH_V2YFh9iHXBDyQj7NQo4BqRbh5MhSObMNdFpg2ifCcebMGIbrjFvcGABh6-jSb8fc56FMmNeTyaRzKRYn22qgz-62NBO2_7zhuF52XwN-md4-_-M_A7sdvYnedMyzF3YctU9uHUJlfA-XGB9tDOyrPEMB3dD0uWz__z-A5WeJYulaxmHzNfZM8RbvyQn3nufhbu__idzTPY7rWeWYLQXewm1Qf1PkNiZfNUQr1bbpAQEdiV5ZYl1c3zUbfKuI6umR7N4AJ-HR9N3x1FXwCEy3m3LIlZmNC2kd6oKSylHa8dS4SQXhZAlZ4YlIhPKxAptfGYQmIclSZEWKrGKMvoQdqpF5R4BybOSW1ZKkzuDqGSF4wWnjFFqpMpVOoC4XzhtOnRzLLJxpsMpO1PaT7r2k65x0jVO-gBer5ssW2iPq4hf4btOwFdXEb7YIBwdTfX76eFvAr205QCe91ylvTjjGU1eucW571cyLmOEmxoADUz097Fh_-nbobeW42zvn1o9gxvH049jPR5NPuzDzRQXL4SwH8NOU5-7J3DdfGtmq_ppEK1fRB8pOA |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NbtQwEB61BSF6KP9iKT8GIQ5IUZPYju1jy3aholrtYUG9WYntVCt1s6ts2jOPwJHn40nwOMnSFVKREKdIyXhijWc8Y3v8DcBbUaZWsDKOcl7yiJmURblwNrKZodTKIlahTOfXUzEey7MzNdmCYX8XpsWHWG-4oWWE-RoN3C1t2S44GYJkzlwTnTeI9plwvAkjtuEW4yJB3U7ZpJ-POc9CmTHvJ5NIZlKszzbVwR8sNrzTtv-8EXheD1-D_xnd-z89vw97XfxJDluFeQBbrnoIu9dQCR_BD6yPdkGWNZ7h4GxIunz2n9--o9OzZLF0reKQ-Tp7hvjol-TEr95n4e6v_8kck_3O65kluNuLXEJtUP8TJHYmXzXEu9U2KQGBXUleWWLdHB91m7zryKrp0Swew5fR8fTDp6gr4BAZv2zLIlZmNC2kX1QVllKO0Y6lwkkuCiFLzgxLRCaUiRXG-MwgMA9LkiItVGIVZfQJ7FSLyj0Fkmclt6yUJncGUckKxwtOGaPUSJWrdABxP3DadOjmWGTjQodTdqa0F7r2QtcodI1CH8D7dZNlC-1xE_E7fNcZ-OomwjcbhCfHU_1xOvxNoL0uDOB1r1XamzOe0eSVW1x6vpJxGSPc1ABoUKK_9w35p0cjHy3H2bN_avUK7kyGI316Mv68D3dTHLuwg_0cdpr60r2A2-aqma3ql8GyfgH_iyhP |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Model+predictive+control%E2%80%90based+operation+management+for+a+residential+microgrid+with+considering+forecast+uncertainties+and+demand+response+strategies&rft.jtitle=IET+generation%2C+transmission+%26+distribution&rft.au=Zhang%2C+Yan&rft.au=Wang%2C+Rui&rft.au=Zhang%2C+Tao&rft.au=Liu%2C+Yajie&rft.date=2016-07-07&rft.issn=1751-8687&rft.eissn=1751-8695&rft.volume=10&rft.issue=10&rft.spage=2367&rft.epage=2378&rft_id=info:doi/10.1049%2Fiet-gtd.2015.1127&rft.externalDBID=n%2Fa&rft.externalDocID=10_1049_iet_gtd_2015_1127 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1751-8687&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1751-8687&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1751-8687&client=summon |