Optimal scheduling of ancillary services provided by an electric vehicle aggregator
Massification of Electric vehicles (EVs) is becoming a worldwide reality as a means to combat climate change and local pollution. Considering that most of the time vehicles are in parking places, there is an opportunity for using EVs to provide some valuable services to the power network. In particu...
Uloženo v:
| Vydáno v: | Energy (Oxford) Ročník 265; s. 126147 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
15.02.2023
|
| Témata: | |
| ISSN: | 0360-5442 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Massification of Electric vehicles (EVs) is becoming a worldwide reality as a means to combat climate change and local pollution. Considering that most of the time vehicles are in parking places, there is an opportunity for using EVs to provide some valuable services to the power network. In particular, EVs can provide ancillary services in electricity markets through an aggregating agent. To this end, EVs aggregators need to develop decision support tools to optimally allocate energy and regulation resources considering power network constraints. Unlike optimization models for EVs aggregators currently available in the literature, in this paper we propose an optimization approach for EVs aggregators that jointly considers the most important aspects influencing EVs profitability, such as uncertainty, drivers’ patterns, capacity constraints, state of charge constraints, regulation demand constraints, regulation offer constraints, regulation bounds constraints, and power-system security constraints. The optimization problem is formulated as a mixed-integer linear programming problem, thus ensuring global optimality. Results are presented in the form of the hourly allocation for charging/discharging power profiles, distinguishing between day-ahead energy and capacity/energy for regulation, and the profit that can be reached, while accounting for network constraints.
The proposed model is illustrated through a case study, which allows us to show that EVs aggregators allow for leading to a more reliable power system operation, avoiding transmission lines congestion, while providing important profits for EV owners who are able to provide regulation services.
•EV aggregators allow for a more reliable power system operation.•EV owners can attain profits from participating in energy markets.•An EV model featuring uncertainty, driving patterns, state of charge and capacity.•A relatively simple one-stage mixed-integer linear programming optimization model. |
|---|---|
| AbstractList | Massification of Electric vehicles (EVs) is becoming a worldwide reality as a means to combat climate change and local pollution. Considering that most of the time vehicles are in parking places, there is an opportunity for using EVs to provide some valuable services to the power network. In particular, EVs can provide ancillary services in electricity markets through an aggregating agent. To this end, EVs aggregators need to develop decision support tools to optimally allocate energy and regulation resources considering power network constraints. Unlike optimization models for EVs aggregators currently available in the literature, in this paper we propose an optimization approach for EVs aggregators that jointly considers the most important aspects influencing EVs profitability, such as uncertainty, drivers’ patterns, capacity constraints, state of charge constraints, regulation demand constraints, regulation offer constraints, regulation bounds constraints, and power-system security constraints. The optimization problem is formulated as a mixed-integer linear programming problem, thus ensuring global optimality. Results are presented in the form of the hourly allocation for charging/discharging power profiles, distinguishing between day-ahead energy and capacity/energy for regulation, and the profit that can be reached, while accounting for network constraints.
The proposed model is illustrated through a case study, which allows us to show that EVs aggregators allow for leading to a more reliable power system operation, avoiding transmission lines congestion, while providing important profits for EV owners who are able to provide regulation services.
•EV aggregators allow for a more reliable power system operation.•EV owners can attain profits from participating in energy markets.•An EV model featuring uncertainty, driving patterns, state of charge and capacity.•A relatively simple one-stage mixed-integer linear programming optimization model. Massification of Electric vehicles (EVs) is becoming a worldwide reality as a means to combat climate change and local pollution. Considering that most of the time vehicles are in parking places, there is an opportunity for using EVs to provide some valuable services to the power network. In particular, EVs can provide ancillary services in electricity markets through an aggregating agent. To this end, EVs aggregators need to develop decision support tools to optimally allocate energy and regulation resources considering power network constraints. Unlike optimization models for EVs aggregators currently available in the literature, in this paper we propose an optimization approach for EVs aggregators that jointly considers the most important aspects influencing EVs profitability, such as uncertainty, drivers’ patterns, capacity constraints, state of charge constraints, regulation demand constraints, regulation offer constraints, regulation bounds constraints, and power-system security constraints. The optimization problem is formulated as a mixed-integer linear programming problem, thus ensuring global optimality. Results are presented in the form of the hourly allocation for charging/discharging power profiles, distinguishing between day-ahead energy and capacity/energy for regulation, and the profit that can be reached, while accounting for network constraints. The proposed model is illustrated through a case study, which allows us to show that EVs aggregators allow for leading to a more reliable power system operation, avoiding transmission lines congestion, while providing important profits for EV owners who are able to provide regulation services. |
| ArticleNumber | 126147 |
| Author | de la Torre, S. Sauma, E. Aguado, J.A. |
| Author_xml | – sequence: 1 givenname: S. orcidid: 0000-0003-0451-4706 surname: de la Torre fullname: de la Torre, S. email: storre@uma.es organization: Escuela de Ingenierías Industriales, Universidad de Málaga, Spain – sequence: 2 givenname: J.A. surname: Aguado fullname: Aguado, J.A. organization: Escuela de Ingenierías Industriales, Universidad de Málaga, Spain – sequence: 3 givenname: E. surname: Sauma fullname: Sauma, E. organization: Millennium Institute on Green Ammonia as Energy Vector (MIGA), Engineering School, Pontificia Universidad Católica de Chile, Chile |
| BookMark | eNqFkDtPwzAUhT0UibbwDxg8siT4lRcDEqp4SZU6ALPlXt-krtKk2Gmk_HtShYkBpjvc8x0dfQsya9oGCbnhLOaMp3f7GBv01RALJkTMRcpVNiNzJlMWJUqJS7IIYc8YS_KimJP3zbFzB1PTADu0p9o1FW1LahpwdW38QAP63gEGevRt7yxauh3GN8UaofMOaI87BzVSU1UeK9O1_opclKYOeP1zl-Tz-elj9RqtNy9vq8d1BDJPumirVJpgIspMcshMVpTKKFvyRPIMJMO8SFNEKcqUWwNKMF5aALvNEyZsUki5JLdT7zjt64Sh0wcXAMfdDbanoEUulRAsy4oxej9FwbcheCw1uM50rm06b1ytOdNne3qvJ3v6bE9P9kZY_YKPfnTmh_-whwnD0UHv0OsADhtA6_zoTtvW_V3wDR9PkKk |
| CitedBy_id | crossref_primary_10_1016_j_epsr_2025_111838 crossref_primary_10_1016_j_rser_2025_115977 crossref_primary_10_3390_su15075782 crossref_primary_10_1007_s40518_025_00263_y crossref_primary_10_1109_OJITS_2025_3593437 crossref_primary_10_1016_j_est_2024_114914 crossref_primary_10_3390_su17031028 crossref_primary_10_1016_j_egyr_2023_12_044 crossref_primary_10_1016_j_prime_2024_100782 crossref_primary_10_3390_en18010093 crossref_primary_10_1016_j_apenergy_2024_125259 crossref_primary_10_1016_j_jclepro_2024_144073 crossref_primary_10_3390_a18030142 crossref_primary_10_1021_acsaenm_5c00120 crossref_primary_10_1109_ACCESS_2024_3351708 crossref_primary_10_1016_j_egyr_2024_07_054 crossref_primary_10_1016_j_energy_2023_129138 crossref_primary_10_1016_j_energy_2025_135452 crossref_primary_10_1016_j_energy_2025_137113 crossref_primary_10_1016_j_apenergy_2024_124606 crossref_primary_10_1016_j_egyr_2024_08_069 crossref_primary_10_1016_j_energy_2024_133996 crossref_primary_10_1016_j_epsr_2024_110555 crossref_primary_10_1016_j_renene_2024_121282 crossref_primary_10_1016_j_nxener_2023_100022 crossref_primary_10_1016_j_enconman_2025_120082 crossref_primary_10_1109_TTE_2024_3359059 crossref_primary_10_3390_su17125626 crossref_primary_10_1007_s12273_024_1208_4 crossref_primary_10_1109_ACCESS_2025_3525845 crossref_primary_10_3390_en16176151 crossref_primary_10_1016_j_ijepes_2024_109916 crossref_primary_10_1111_ijcs_70065 crossref_primary_10_1016_j_segan_2025_101941 crossref_primary_10_1016_j_energy_2023_127745 crossref_primary_10_1016_j_apenergy_2023_122313 crossref_primary_10_1016_j_apenergy_2024_122810 crossref_primary_10_1016_j_rser_2024_114939 crossref_primary_10_3390_en16134983 crossref_primary_10_1016_j_apenergy_2023_121969 crossref_primary_10_1016_j_rser_2024_115290 crossref_primary_10_1016_j_scs_2023_104946 crossref_primary_10_1109_TSG_2025_3550846 crossref_primary_10_3390_su152015127 crossref_primary_10_1016_j_compeleceng_2025_110227 |
| Cites_doi | 10.1109/TPWRS.2013.2274673 10.1016/j.epsr.2013.08.006 10.1109/TPWRS.2012.2221750 10.1016/j.apenergy.2013.04.094 10.1016/j.epsr.2018.05.019 10.1016/j.enpol.2010.01.006 10.1109/TSG.2011.2164099 10.1016/j.ijepes.2014.07.065 10.1016/j.energy.2020.117629 10.1016/j.eneco.2017.11.011 10.1016/j.jpowsour.2009.09.070 10.1016/j.eneco.2018.06.014 10.1016/j.enpol.2013.06.088 10.1109/TSG.2010.2045163 10.1016/j.rser.2015.12.014 10.1016/j.energy.2018.07.091 10.1109/JESTIE.2021.3102417 10.1109/TSG.2013.2290971 10.1109/TSG.2011.2170099 10.1016/j.eneco.2018.12.014 10.1016/j.ijepes.2017.05.005 10.1109/TSG.2010.2090910 10.1016/j.jpowsour.2018.06.053 10.1109/TPAS.1970.292825 10.1002/etep.565 10.1016/j.eneco.2017.03.010 10.1016/j.jpowsour.2007.03.010 10.1016/j.epsr.2019.105932 |
| ContentType | Journal Article |
| Copyright | 2022 The Authors |
| Copyright_xml | – notice: 2022 The Authors |
| DBID | 6I. AAFTH AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.energy.2022.126147 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics Environmental Sciences |
| ExternalDocumentID | 10_1016_j_energy_2022_126147 S036054422203033X |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 6I. 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAFTH AAHCO AAIAV AAIKC AAIKJ AAKOC AALRI AAMNW AAOAW AAQFI AARJD AAXUO ABJNI ABMAC ABYKQ ACDAQ ACGFS ACIWK ACRLP ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFRAH AFTJW AGHFR AGUBO AGYEJ AHIDL AIEXJ AIKHN AITUG AJOXV AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BKOJK BLXMC CS3 DU5 EBS EFJIC EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JARJE KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG RNS ROL RPZ SDF SDG SES SPC SPCBC SSR SSZ T5K TN5 XPP ZMT ~02 ~G- 29G 6TJ 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABDPE ABFNM ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADMUD ADNMO ADXHL AEIPS AEUPX AFJKZ AFPUW AGQPQ AHHHB AIGII AIIUN AKBMS AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EFLBG EJD FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC SEW WUQ ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c385t-b4465e52f731c7a79f4a4df15317c30e8966ee32f61dac4201fdccdb8502d5933 |
| ISICitedReferencesCount | 49 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000918902400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0360-5442 |
| IngestDate | Sun Sep 28 04:01:51 EDT 2025 Sat Nov 29 07:23:13 EST 2025 Tue Nov 18 20:59:35 EST 2025 Sat Apr 13 16:39:23 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Mixed-integer linear programming problem Vehicle-to-grid Aggregator Electric vehicles Regulation Ancillary services |
| Language | English |
| License | This is an open access article under the CC BY-NC license. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c385t-b4465e52f731c7a79f4a4df15317c30e8966ee32f61dac4201fdccdb8502d5933 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0003-0451-4706 |
| OpenAccessLink | https://dx.doi.org/10.1016/j.energy.2022.126147 |
| PQID | 2834220779 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_2834220779 crossref_citationtrail_10_1016_j_energy_2022_126147 crossref_primary_10_1016_j_energy_2022_126147 elsevier_sciencedirect_doi_10_1016_j_energy_2022_126147 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-02-15 |
| PublicationDateYYYYMMDD | 2023-02-15 |
| PublicationDate_xml | – month: 02 year: 2023 text: 2023-02-15 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | Energy (Oxford) |
| PublicationYear | 2023 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Benalcazar, E., Vargas (b8) 2019; 177 Yu, Foggo (b29) 2017; 64 Tomic, Kempton (b35) 2007; 168 Shuai, Maille, Pelov (b16) 2015 Han, Han, Sezaki (b17) 2010; 1 Zhang, Li, Li, Li (b9) 2018; 163 Peterson, Whitacre, Apt (b28) 2010; 195 Andersson, Elofsson, Galus, Göransson, Karlsson, Johnsson, Andersson (b34) 2010; 38 International Energy Agency (b1) 2021 Cortes Borray, Merino, Torres, Mazon (b6) 2020; 189 Bishop, Axon, Bonilla, Tran, Banister, McCulloch (b27) 2013; 111 Noel, Carrone, Jensen, Zarazua de Rubens, Kester, Sovacool (b3) 2019; 78 Jargstorf, Wickert (b32) 2013; 62 Bessa, Matos (b2) 2012; 22 Vayá, Andersson (b18) 2013 Sortomme, El-Sharkawi (b14) 2011; 2 Thomson (b31) 2018; 396 López, de la Torre, Martín, Aguado (b25) 2015; 64 Dietrich, Weber (b30) 2018; 74 Fang, Asche, Novan (b4) 2018; 69 Sortomme, El-Sharkawi (b24) 2012; 3 Sinan Cai (b13) 2022; 319 Garver (b33) 1970; PAS-89 Bessa, Matos (b22) 2014; 106 Han, Soo, Sezaki (b26) 2010 Runqi, Xiang, H., L., H., Cheng, L. (b7) 2020; 184 Gao, Li, Jurasz, Dai (b12) 2022; 3 Hu, Morais, Sousa, Lind (b5) 2016; 56 Rezaei, Khazali, Mazidi, Ahmadi (b10) 2020; 201 Faddel, Aldeek, Al-Awami, Sortomme, Al-Hamouz (b11) 2018; 160 Sortomme, El-Sharkawi (b15) 2012; 3 Bhattarai, Myers, Bak-Jensen, de Cerio Mendaza, Turk, Gentle (b19) 2017; 92 Donadee, Ilic (b20) 2014; 5 Ortega-Vázquez, Bouffard, Silva (b21) 2013; 28 Vagropoulos, Bakirtzis (b23) 2013; 28 Benalcazar (10.1016/j.energy.2022.126147_b8) 2019; 177 Shuai (10.1016/j.energy.2022.126147_b16) 2015 Tomic (10.1016/j.energy.2022.126147_b35) 2007; 168 Peterson (10.1016/j.energy.2022.126147_b28) 2010; 195 Vagropoulos (10.1016/j.energy.2022.126147_b23) 2013; 28 Bessa (10.1016/j.energy.2022.126147_b2) 2012; 22 Bhattarai (10.1016/j.energy.2022.126147_b19) 2017; 92 Bishop (10.1016/j.energy.2022.126147_b27) 2013; 111 Han (10.1016/j.energy.2022.126147_b26) 2010 Donadee (10.1016/j.energy.2022.126147_b20) 2014; 5 Rezaei (10.1016/j.energy.2022.126147_b10) 2020; 201 Noel (10.1016/j.energy.2022.126147_b3) 2019; 78 Cortes Borray (10.1016/j.energy.2022.126147_b6) 2020; 189 Zhang (10.1016/j.energy.2022.126147_b9) 2018; 163 Gao (10.1016/j.energy.2022.126147_b12) 2022; 3 Bessa (10.1016/j.energy.2022.126147_b22) 2014; 106 Dietrich (10.1016/j.energy.2022.126147_b30) 2018; 74 López (10.1016/j.energy.2022.126147_b25) 2015; 64 International Energy Agency (10.1016/j.energy.2022.126147_b1) 2021 Ortega-Vázquez (10.1016/j.energy.2022.126147_b21) 2013; 28 Thomson (10.1016/j.energy.2022.126147_b31) 2018; 396 Garver (10.1016/j.energy.2022.126147_b33) 1970; PAS-89 Sortomme (10.1016/j.energy.2022.126147_b15) 2012; 3 Fang (10.1016/j.energy.2022.126147_b4) 2018; 69 Sortomme (10.1016/j.energy.2022.126147_b24) 2012; 3 Sinan Cai (10.1016/j.energy.2022.126147_b13) 2022; 319 Sortomme (10.1016/j.energy.2022.126147_b14) 2011; 2 Jargstorf (10.1016/j.energy.2022.126147_b32) 2013; 62 Andersson (10.1016/j.energy.2022.126147_b34) 2010; 38 Yu (10.1016/j.energy.2022.126147_b29) 2017; 64 Han (10.1016/j.energy.2022.126147_b17) 2010; 1 Vayá (10.1016/j.energy.2022.126147_b18) 2013 Hu (10.1016/j.energy.2022.126147_b5) 2016; 56 Runqi (10.1016/j.energy.2022.126147_b7) 2020; 184 Faddel (10.1016/j.energy.2022.126147_b11) 2018; 160 |
| References_xml | – volume: 189 year: 2020 ident: b6 article-title: A review of the population-based and individual-based approaches for electric vehicles in network energy studies publication-title: Electr Power Syst Res – volume: 177 year: 2019 ident: b8 article-title: Short-term economic dispatch of smart distribution grids considering the active role of plug-in electric vehicles publication-title: Electr Power Syst Res – volume: 396 start-page: 691 year: 2018 end-page: 709 ident: b31 article-title: Economic implications of lithium ion battery degradation for Vehicle-to-Grid (V2X) services publication-title: J Power Sources – volume: 64 start-page: 689 year: 2015 end-page: 698 ident: b25 article-title: Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support publication-title: Int J Electr Power Energy Syst – year: 2013 ident: b18 article-title: Combined smart-charging and frequency regulation for fleets of plug-in electric vehicles publication-title: IEEE power and energy society general meeting – volume: 74 start-page: 399 year: 2018 end-page: 416 ident: b30 article-title: What drives profitability of grid-connected residential PV storage systems? A closer look with focus on Germany publication-title: Energy Econ – volume: 92 start-page: 193 year: 2017 end-page: 201 ident: b19 article-title: Optimum aggregation of geographically distributed flexible resources in strategic smart-grid/microgrid locations publication-title: Int J Electr Power Energy Syst – volume: 69 start-page: 196 year: 2018 end-page: 203 ident: b4 article-title: The costs of charging Plug-in Electric Vehicles (PEVs): Within day variation in emissions and electricity prices publication-title: Energy Econ – volume: 111 start-page: 206 year: 2013 end-page: 218 ident: b27 article-title: Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV publication-title: Appl Energy – volume: 319 year: 2022 ident: b13 article-title: Optimal dispatching control of EV aggregators for load frequency control with high efficiency of EV utilization publication-title: Appl Energy – volume: 64 start-page: 177 year: 2017 end-page: 185 ident: b29 article-title: Stochastic valuation of energy storage in wholesale power markets publication-title: Energy Econ – volume: 2 start-page: 131 year: 2011 end-page: 138 ident: b14 article-title: Optimal charging strategies for unidirectional vehicle-to-grid publication-title: IEEE Trans Smart Grid – volume: 195 start-page: 2377 year: 2010 end-page: 2384 ident: b28 article-title: The economics of using plug-in hybrid electric vehicle battery packs for grid storage publication-title: J Power Sources – year: 2010 ident: b26 article-title: Design of an optimal aggregator for vehicle-to-grid regulation service publication-title: Innovative smart grid technologies conference, ISGT 2010 – volume: 5 start-page: 1061 year: 2014 end-page: 1069 ident: b20 article-title: Stochastic optimization of grid to vehicle frequency regulation capacity bids publication-title: IEEE Trans Smart Grid – volume: 28 start-page: 1806 year: 2013 end-page: 1815 ident: b21 article-title: Electric vehicle aggregator/system operator coordination for charging scheduling and services procurement publication-title: IEEE Trans Power Syst – volume: 62 start-page: 185 year: 2013 end-page: 195 ident: b32 article-title: Offer of secondary reserve with a pool of electric vehicles on the German market publication-title: Energy Policy – volume: 78 start-page: 525 year: 2019 end-page: 534 ident: b3 article-title: Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment publication-title: Energy Econ – year: 2021 ident: b1 article-title: Global EV outlook 2021: Accelerating ambitions despite the pandemic. Electric Vehicles Initiative – volume: 184 year: 2020 ident: b7 article-title: Exploring flexibility of electric vehicle aggregators as energy reserve publication-title: Electr Power Syst Res – volume: 38 start-page: 2751 year: 2010 end-page: 2762 ident: b34 article-title: Plug-in hybrid electric vehicles as regulating power providers: Case studies of Sweden and Germany publication-title: Energy Policy – volume: 56 start-page: 1207 year: 2016 end-page: 1226 ident: b5 article-title: Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects publication-title: Renew Sustain Energy Rev – volume: 3 start-page: 270 year: 2022 end-page: 278 ident: b12 article-title: Optimal charging of electric vehicle aggregations participating in energy and ancillary service markets publication-title: IEEE J Emerg Sel Top Ind Electron – volume: 163 year: 2018 ident: b9 article-title: Grid frequency regulation strategy considering individual driving demand of electric vehicle publication-title: Electr Power Syst Res – volume: 201 year: 2020 ident: b10 article-title: Economic energy and reserve management of renewable-based microgrids in the presence of electric vehicle aggregators: A robust optimization approach publication-title: Energy – volume: 106 start-page: 36 year: 2014 end-page: 50 ident: b22 article-title: Optimization models for an EV aggregator selling secondary reserve in the electricity market publication-title: Electr Power Syst Res – start-page: 1 year: 2015 end-page: 6 ident: b16 article-title: Incentivizing electric vehicles to provide regulation while recharging publication-title: Smart grid technologies - Asia (ISGT ASIA), 2015 IEEE innovative – volume: 168 start-page: 459 year: 2007 end-page: 468 ident: b35 article-title: Using fleets of electric-drive vehicles for grid support publication-title: J Power Sources – volume: 160 start-page: 986 year: 2018 end-page: 995 ident: b11 article-title: Ancillary services bidding for uncertain bidirectional V2G using fuzzy linear programming publication-title: Energy – volume: 22 start-page: 334 year: 2012 end-page: 350 ident: b2 article-title: Economic and technical management of an aggregation agent for electric vehicles: a literature survey publication-title: Eur Trans Electr Power – volume: PAS-89 start-page: 1688 year: 1970 end-page: 1697 ident: b33 article-title: Transmission network estimation using linear programming publication-title: IEEE Trans Power Appar Syst – volume: 3 start-page: 70 year: 2012 end-page: 79 ident: b15 article-title: Optimal combined bidding of vehicle-to-grid ancillary services publication-title: IEEE Trans Smart Grid – volume: 28 start-page: 4031 year: 2013 end-page: 4041 ident: b23 article-title: Optimal bidding strategy for electric vehicle aggregators in electricity markets publication-title: IEEE Trans Power Syst – volume: 1 start-page: 65 year: 2010 end-page: 72 ident: b17 article-title: Development of an optimal vehicle-to-grid aggregator for frequency regulation publication-title: IEEE Trans Smart Grid – volume: 3 start-page: 351 year: 2012 end-page: 359 ident: b24 article-title: Optimal scheduling of vehicle-to-grid energy and ancillary services publication-title: IEEE Trans Smart Grid – volume: 28 start-page: 4031 issue: 4 year: 2013 ident: 10.1016/j.energy.2022.126147_b23 article-title: Optimal bidding strategy for electric vehicle aggregators in electricity markets publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2274673 – volume: 106 start-page: 36 year: 2014 ident: 10.1016/j.energy.2022.126147_b22 article-title: Optimization models for an EV aggregator selling secondary reserve in the electricity market publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2013.08.006 – volume: 28 start-page: 1806 issue: 2 year: 2013 ident: 10.1016/j.energy.2022.126147_b21 article-title: Electric vehicle aggregator/system operator coordination for charging scheduling and services procurement publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2012.2221750 – volume: 111 start-page: 206 year: 2013 ident: 10.1016/j.energy.2022.126147_b27 article-title: Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.04.094 – volume: 163 year: 2018 ident: 10.1016/j.energy.2022.126147_b9 article-title: Grid frequency regulation strategy considering individual driving demand of electric vehicle publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2018.05.019 – volume: 189 year: 2020 ident: 10.1016/j.energy.2022.126147_b6 article-title: A review of the population-based and individual-based approaches for electric vehicles in network energy studies publication-title: Electr Power Syst Res – volume: 184 year: 2020 ident: 10.1016/j.energy.2022.126147_b7 article-title: Exploring flexibility of electric vehicle aggregators as energy reserve publication-title: Electr Power Syst Res – volume: 38 start-page: 2751 issue: 6 year: 2010 ident: 10.1016/j.energy.2022.126147_b34 article-title: Plug-in hybrid electric vehicles as regulating power providers: Case studies of Sweden and Germany publication-title: Energy Policy doi: 10.1016/j.enpol.2010.01.006 – volume: 3 start-page: 351 issue: 1 year: 2012 ident: 10.1016/j.energy.2022.126147_b24 article-title: Optimal scheduling of vehicle-to-grid energy and ancillary services publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2011.2164099 – volume: 64 start-page: 689 year: 2015 ident: 10.1016/j.energy.2022.126147_b25 article-title: Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2014.07.065 – volume: 201 year: 2020 ident: 10.1016/j.energy.2022.126147_b10 article-title: Economic energy and reserve management of renewable-based microgrids in the presence of electric vehicle aggregators: A robust optimization approach publication-title: Energy doi: 10.1016/j.energy.2020.117629 – volume: 69 start-page: 196 year: 2018 ident: 10.1016/j.energy.2022.126147_b4 article-title: The costs of charging Plug-in Electric Vehicles (PEVs): Within day variation in emissions and electricity prices publication-title: Energy Econ doi: 10.1016/j.eneco.2017.11.011 – volume: 195 start-page: 2377 issue: 8 year: 2010 ident: 10.1016/j.energy.2022.126147_b28 article-title: The economics of using plug-in hybrid electric vehicle battery packs for grid storage publication-title: J Power Sources doi: 10.1016/j.jpowsour.2009.09.070 – volume: 74 start-page: 399 year: 2018 ident: 10.1016/j.energy.2022.126147_b30 article-title: What drives profitability of grid-connected residential PV storage systems? A closer look with focus on Germany publication-title: Energy Econ doi: 10.1016/j.eneco.2018.06.014 – volume: 62 start-page: 185 year: 2013 ident: 10.1016/j.energy.2022.126147_b32 article-title: Offer of secondary reserve with a pool of electric vehicles on the German market publication-title: Energy Policy doi: 10.1016/j.enpol.2013.06.088 – volume: 319 year: 2022 ident: 10.1016/j.energy.2022.126147_b13 article-title: Optimal dispatching control of EV aggregators for load frequency control with high efficiency of EV utilization publication-title: Appl Energy – volume: 1 start-page: 65 issue: 1 year: 2010 ident: 10.1016/j.energy.2022.126147_b17 article-title: Development of an optimal vehicle-to-grid aggregator for frequency regulation publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2010.2045163 – volume: 56 start-page: 1207 year: 2016 ident: 10.1016/j.energy.2022.126147_b5 article-title: Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2015.12.014 – volume: 160 start-page: 986 year: 2018 ident: 10.1016/j.energy.2022.126147_b11 article-title: Ancillary services bidding for uncertain bidirectional V2G using fuzzy linear programming publication-title: Energy doi: 10.1016/j.energy.2018.07.091 – year: 2013 ident: 10.1016/j.energy.2022.126147_b18 article-title: Combined smart-charging and frequency regulation for fleets of plug-in electric vehicles – volume: 3 start-page: 270 issue: 2 year: 2022 ident: 10.1016/j.energy.2022.126147_b12 article-title: Optimal charging of electric vehicle aggregations participating in energy and ancillary service markets publication-title: IEEE J Emerg Sel Top Ind Electron doi: 10.1109/JESTIE.2021.3102417 – volume: 5 start-page: 1061 issue: 2 year: 2014 ident: 10.1016/j.energy.2022.126147_b20 article-title: Stochastic optimization of grid to vehicle frequency regulation capacity bids publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2013.2290971 – start-page: 1 year: 2015 ident: 10.1016/j.energy.2022.126147_b16 article-title: Incentivizing electric vehicles to provide regulation while recharging – year: 2021 ident: 10.1016/j.energy.2022.126147_b1 – volume: 3 start-page: 70 issue: 1 year: 2012 ident: 10.1016/j.energy.2022.126147_b15 article-title: Optimal combined bidding of vehicle-to-grid ancillary services publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2011.2170099 – volume: 78 start-page: 525 year: 2019 ident: 10.1016/j.energy.2022.126147_b3 article-title: Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment publication-title: Energy Econ doi: 10.1016/j.eneco.2018.12.014 – volume: 92 start-page: 193 year: 2017 ident: 10.1016/j.energy.2022.126147_b19 article-title: Optimum aggregation of geographically distributed flexible resources in strategic smart-grid/microgrid locations publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2017.05.005 – volume: 2 start-page: 131 issue: 1 year: 2011 ident: 10.1016/j.energy.2022.126147_b14 article-title: Optimal charging strategies for unidirectional vehicle-to-grid publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2010.2090910 – volume: 396 start-page: 691 year: 2018 ident: 10.1016/j.energy.2022.126147_b31 article-title: Economic implications of lithium ion battery degradation for Vehicle-to-Grid (V2X) services publication-title: J Power Sources doi: 10.1016/j.jpowsour.2018.06.053 – volume: PAS-89 start-page: 1688 issue: 7 year: 1970 ident: 10.1016/j.energy.2022.126147_b33 article-title: Transmission network estimation using linear programming publication-title: IEEE Trans Power Appar Syst doi: 10.1109/TPAS.1970.292825 – volume: 22 start-page: 334 issue: 3 year: 2012 ident: 10.1016/j.energy.2022.126147_b2 article-title: Economic and technical management of an aggregation agent for electric vehicles: a literature survey publication-title: Eur Trans Electr Power doi: 10.1002/etep.565 – volume: 64 start-page: 177 year: 2017 ident: 10.1016/j.energy.2022.126147_b29 article-title: Stochastic valuation of energy storage in wholesale power markets publication-title: Energy Econ doi: 10.1016/j.eneco.2017.03.010 – volume: 168 start-page: 459 issue: 2 year: 2007 ident: 10.1016/j.energy.2022.126147_b35 article-title: Using fleets of electric-drive vehicles for grid support publication-title: J Power Sources doi: 10.1016/j.jpowsour.2007.03.010 – year: 2010 ident: 10.1016/j.energy.2022.126147_b26 article-title: Design of an optimal aggregator for vehicle-to-grid regulation service – volume: 177 year: 2019 ident: 10.1016/j.energy.2022.126147_b8 article-title: Short-term economic dispatch of smart distribution grids considering the active role of plug-in electric vehicles publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2019.105932 |
| SSID | ssj0005899 |
| Score | 2.6096509 |
| Snippet | Massification of Electric vehicles (EVs) is becoming a worldwide reality as a means to combat climate change and local pollution. Considering that most of the... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 126147 |
| SubjectTerms | Aggregator Ancillary services case studies climate change Electric vehicles electricity energy Mixed-integer linear programming problem pollution profitability Regulation system optimization uncertainty Vehicle-to-grid |
| Title | Optimal scheduling of ancillary services provided by an electric vehicle aggregator |
| URI | https://dx.doi.org/10.1016/j.energy.2022.126147 https://www.proquest.com/docview/2834220779 |
| Volume | 265 |
| WOSCitedRecordID | wos000918902400001&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: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 0360-5442 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0005899 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3da9swEBdbO9hextatrPtCg7EXo2JbsmU9hpGyjZIO6kLejCzJaUvqZHFS0v9-J0u26T5o97AXExz5A_3Op7vT3f0Q-igSWoVVSQnNVEaYVoIIIyjhoeA6qyJO07Ilm-CTSTadiu-eqbBp6QR4XWfbrVj-V6jhHIBtS2f_Ae7-pnACfgPocATY4Xgv4E9ACVy1pY7nsIzMfVazbasBiK9ugsZrh8AX4bUWKHzljhDnQgXX5tzeM5Az8MVn0rUjHsL3rljQdindusT4PpSgTTCXQW75Pm4FVUezjdRuh2cInZ7KzZUcSiF84CG2273ElV72BVchSRi7pUzjNAmWhxH4ZYyTP6poFy24PDTt64KHHsd-_LAkddvwk5Pi6Oz4uMjH0_zT8gexZGF2U90zpzxEuzFPBCiz3dHX8fTbkNuTtcSh_Rt2NZNtYt_vD_6bTfLL6tyaHPkz9NT7CnjkMH6OHph6Dz3uSsmbPbQ_HsoUYaDX080LdOqFAA9CgBcV7oUAd0KAOyHA5Q38jTshwF4I8CAEL9HZ0Tj__IV4-gyiaJasSWl74ZkkrjiNFJdcVEwyXcESF3FFQ5OBp2sMjas00lIxsAQrrZQusySMdSIo3Uc79aI2rxDmsS6jSrE0M5wZKaQGL19zlhqWCpNWB4h2E1go31veUpzMiy6J8LJw017YaS_ctB8g0l-1dL1V7hjPO2wKbx86u68A2brjyg8dlAWoT7snJmuz2DQFWNcsjkPOxet7jHmDngxfwlu0s15tzDv0SF2vL5rVey-FPwGWopG5 |
| linkProvider | Elsevier |
| 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=Optimal+scheduling+of+ancillary+services+provided+by+an+electric+vehicle+aggregator&rft.jtitle=Energy+%28Oxford%29&rft.au=de+la+Torre%2C+S&rft.au=Aguado%2C+J+A&rft.au=Sauma%2C+E&rft.date=2023-02-15&rft.issn=0360-5442&rft.volume=265+p.126147-&rft_id=info:doi/10.1016%2Fj.energy.2022.126147&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0360-5442&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0360-5442&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0360-5442&client=summon |