Optimal offering strategy for wind-storage systems under correlated wind production
This paper formulates the offering problem for a cluster of wind-storage systems in the day-ahead energy market using a risk-constrained stochastic programming approach that anticipates different operating conditions in the real-time energy market. Wind-storage systems can be jointly operated as a c...
Uložené v:
| Vydané v: | Applied energy Ročník 333; s. 120552 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Ltd
01.03.2023
|
| Predmet: | |
| ISSN: | 0306-2619 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This paper formulates the offering problem for a cluster of wind-storage systems in the day-ahead energy market using a risk-constrained stochastic programming approach that anticipates different operating conditions in the real-time energy market. Wind-storage systems can be jointly operated as a cluster so as to achieve higher profitability. However, a meaningful positive correlation among the production provided by wind farms located in the cluster results in a higher level of uncertainty that imposes additional risk. A key issue is how this correlation influences the operation of the cluster in the energy markets. In order to study this subject, this paper presents the uncertainties involved by means of a number of correlated scenarios including: (i) the correlated prices in the day-ahead and the real-time markets, and (ii) the correlated wind power production of multiple wind farms jointly generated using an innovative scenario generation methodology. The comparative statistical analysis validates the good accuracy of the method proposed in order to capture the spatio-temporal correlation among the wind farms. The results of a realistic case study are, moreover, compared with those obtained by considering that the scenarios are generated individually for each wind farm. Upon considering the latter, the variability of wind power production is underestimated, which has a negligible impact on the expected profit; however, the profit risk modeled using the conditional value-at-risk is significantly overestimated. The overestimation error particularly concerns a less risk-averse operator of the cluster in the case of low wind power production.
•Correlated scenarios for wind production are jointly generated.•Individual uncertainty model of wind production cannot fully capture correlation.•Offering of wind-storage systems is compared using joint and individual models.•Conditional value-at-risk of profit is overestimated by individual uncertainty model.•If wind production is low, the higher-risk offering intensifies overestimation error. |
|---|---|
| AbstractList | This paper formulates the offering problem for a cluster of wind-storage systems in the day-ahead energy market using a risk-constrained stochastic programming approach that anticipates different operating conditions in the real-time energy market. Wind-storage systems can be jointly operated as a cluster so as to achieve higher profitability. However, a meaningful positive correlation among the production provided by wind farms located in the cluster results in a higher level of uncertainty that imposes additional risk. A key issue is how this correlation influences the operation of the cluster in the energy markets. In order to study this subject, this paper presents the uncertainties involved by means of a number of correlated scenarios including: (i) the correlated prices in the day-ahead and the real-time markets, and (ii) the correlated wind power production of multiple wind farms jointly generated using an innovative scenario generation methodology. The comparative statistical analysis validates the good accuracy of the method proposed in order to capture the spatio-temporal correlation among the wind farms. The results of a realistic case study are, moreover, compared with those obtained by considering that the scenarios are generated individually for each wind farm. Upon considering the latter, the variability of wind power production is underestimated, which has a negligible impact on the expected profit; however, the profit risk modeled using the conditional value-at-risk is significantly overestimated. The overestimation error particularly concerns a less risk-averse operator of the cluster in the case of low wind power production.
•Correlated scenarios for wind production are jointly generated.•Individual uncertainty model of wind production cannot fully capture correlation.•Offering of wind-storage systems is compared using joint and individual models.•Conditional value-at-risk of profit is overestimated by individual uncertainty model.•If wind production is low, the higher-risk offering intensifies overestimation error. |
| ArticleNumber | 120552 |
| Author | Baringo, Luis Dirin, Sepehr Rahimiyan, Morteza |
| Author_xml | – sequence: 1 givenname: Sepehr surname: Dirin fullname: Dirin, Sepehr email: sepehr.dirin@gmail.com organization: Faculty of Electrical Engineering, Shahrood University of Technology, 3619995161 Shahrood, Iran – sequence: 2 givenname: Morteza orcidid: 0000-0002-2423-1861 surname: Rahimiyan fullname: Rahimiyan, Morteza email: morteza.rahimiyan@shahroodut.ac.ir organization: Faculty of Electrical Engineering, Shahrood University of Technology, 3619995161 Shahrood, Iran – sequence: 3 givenname: Luis orcidid: 0000-0002-8678-3258 surname: Baringo fullname: Baringo, Luis email: Luis.Baringo@uclm.es organization: Department of Electrical Engineering, Universidad de Castilla-La Mancha, Campus Universitario s/n, 13071 Ciudad Real, Spain |
| BookMark | eNqFkMtOwzAQRb0oEm3hF5B_IMF2UqeRWIAqXlKlLoC15diTyFVqR2MX1L8npbBh09Us5p6rmTMjEx88EHLDWc4Zl7fbXA_gAbtDLpgQORdssRATMmUFk5mQvL4ksxi3jDEx7qbkbTMkt9M9DW0L6HxHY0KdoDvQNiD9ct5mMQXUHdB4iAl2ke69BaQmIEI_Ru1Pig4Y7N4kF_wVuWh1H-H6d87Jx9Pj--olW2-eX1cP68yIUqQMoCqt0LUtAOqmLCrT6LYAW1tWVkvWNFVdSF1pWHIpm6VkWpqS83qhrbClZsWc3J16DYYYEVplXNLHC8YXXK84U0cpaqv-pKijFHWSMuLyHz7gqAIP58H7Ewjjc58OUEXjwBuwDsEkZYM7V_ENw0mHMA |
| CitedBy_id | crossref_primary_10_1016_j_renene_2024_121769 crossref_primary_10_1016_j_epsr_2023_110039 crossref_primary_10_1016_j_ijepes_2025_110795 crossref_primary_10_1016_j_egyr_2023_08_027 crossref_primary_10_1016_j_apenergy_2024_124380 crossref_primary_10_1016_j_est_2025_117313 crossref_primary_10_1016_j_ijepes_2025_110492 crossref_primary_10_1016_j_energy_2023_130009 crossref_primary_10_3389_fenrg_2023_1094970 |
| Cites_doi | 10.1016/j.apenergy.2020.115973 10.1109/TSTE.2020.2965521 10.1016/j.epsr.2020.106745 10.1016/j.renene.2019.02.064 10.1016/j.ijhydene.2018.09.179 10.1287/opre.2013.1174 10.1109/TSTE.2018.2819137 10.1109/TPWRS.2015.2411332 10.1109/TPWRS.2016.2521177 10.1016/j.apenergy.2012.12.077 10.1002/we.1597 10.1016/j.apenergy.2018.03.082 10.1109/TPWRS.2018.2794541 10.1016/j.ijepes.2021.106955 10.35833/MPCE.2020.000935 10.1016/j.renene.2020.04.057 10.1002/we.2095 10.1109/TIA.2018.2828379 10.1109/TEC.2003.821865 10.1023/A:1021805924152 10.1016/j.ijepes.2020.106343 10.1016/j.apenergy.2009.09.022 10.1016/j.ijepes.2020.105931 10.1109/TPWRS.2015.2483781 10.1109/TSTE.2018.2806444 10.1016/j.renene.2015.07.104 10.1109/TPWRS.2013.2273276 10.1109/TPWRS.2013.2262502 10.1109/TSTE.2020.2967860 10.1109/TPWRS.2015.2477466 10.1109/TSTE.2019.2895332 10.1016/j.epsr.2019.105986 |
| ContentType | Journal Article |
| Copyright | 2022 Elsevier Ltd |
| Copyright_xml | – notice: 2022 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.apenergy.2022.120552 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Environmental Sciences |
| ExternalDocumentID | 10_1016_j_apenergy_2022_120552 S0306261922018098 |
| GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHBH AAHCO AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXKI AAXUO ABJNI ABMAC ACDAQ ACGFS ACRLP ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFJKZ AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIKHN AITUG AJOXV AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BJAXD BKOJK BLXMC CS3 EBS EFJIC EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JARJE JJJVA KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SES SPC SPCBC SSR SST SSZ T5K TN5 ~02 ~G- 9DU AAQXK AATTM AAYWO AAYXX ABEFU ABFNM ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EFLBG EJD FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC SEW WUQ ZY4 ~HD |
| ID | FETCH-LOGICAL-c242t-ee74d2a9d3ee9b437cbaf3ed9d04780bb7936a7ae8166b860a6c41195ad2d4a03 |
| ISICitedReferencesCount | 14 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000925252900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0306-2619 |
| IngestDate | Sat Nov 29 07:21:41 EST 2025 Tue Nov 18 22:19:32 EST 2025 Tue Dec 03 03:45:02 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Conditional value-at-risk Wind-storage systems Offering strategy Correlated scenarios Stochastic programming |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c242t-ee74d2a9d3ee9b437cbaf3ed9d04780bb7936a7ae8166b860a6c41195ad2d4a03 |
| ORCID | 0000-0002-2423-1861 0000-0002-8678-3258 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_apenergy_2022_120552 crossref_primary_10_1016_j_apenergy_2022_120552 elsevier_sciencedirect_doi_10_1016_j_apenergy_2022_120552 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-03-01 2023-03-00 |
| PublicationDateYYYYMMDD | 2023-03-01 |
| PublicationDate_xml | – month: 03 year: 2023 text: 2023-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Applied energy |
| PublicationYear | 2023 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Baringo, Conejo (b5) 2016; 31 Louie (b2) 2014; 17 Malvaldi, Weiss, Infield, Browell, Leahy, Foley (b3) 2017; 20 Nguyen, Le, Wang (b17) 2018; 54 Conejo, Carrión, Morales (b1) 2010 GAMS. 2022, Available at Papavasiliou, Oren (b35) 2013; 61 Baeyens, Bitar, Khargonekar, Poolla (b8) 2013; 28 Zhang, Jiang, Li, Li, Chen, Li (b18) 2020; 11 Arjmand, Rahimiyan (b36) 2016; 86 Attarha, Amjady, Dehghan, Vatani (b14) 2018; 9 Windy: Wind map and weather forecast. 2022, Available at Han, Kardakos, Hug (b6) 2019; 177 Wang (b32) 1996 Tan, Wu, Zhang, Wei, Hatziargyriou, Liu (b23) 2021; 130 ILOG CPLEX. 2022, Available at Wu, Zhou, Wang, Du, Zhang, Li (b19) 2020; 11 Xu, Hu, Cao, Huang, Liu, Liu (b16) 2020; 156 Heitsch, Römisch (b38) 2003; 24 Tanga, Wangb, Xua, Suna, Zhang (b26) 2018; 221 Rahimiyan, Baringo (b31) 2016; 31 Morales, Mínguez, Conejo (b22) 2010; 87 Seok, Chen (b11) 2019; 138 ISO New England, US. 2022, Available at NREL. Wind integration national dataset toolkit. 2022, Available at Han, Hug (b15) 2020; 189 Ghavidel, Ghadi, Azizivahed, Aghaei, Li, Zhang (b13) 2020; 11 Damousis, Alexiadis, Theocharis, Dokopoulos (b28) 2004; 19 Hosseini, Toubeau, Grève, Vallée (b7) 2020; 280 Nguyen, Le (b10) 2018; 9 . Ding, Pinson, Hu, Song (b12) 2016; 31 Pandz̆ić, Morales, Conejo, Kuzle (b21) 2013; 105 Chen, Wang, Kirschen, Zhang (b27) 2018; 33 Guerrero-Mestre, de la Nieta, Contreras, Catalão (b9) 2016; 31 Windguru–Maui (north shore). 2022, Available at Rashidizadeh-Kermani, Vahedipour-Dahraie, Shafie-Khah, Siano (b20) 2021; 124 Qiu, Li, Pan, Yang, Chen (b24) 2019; 44 Tu, Miao, Yao, Li, Yin, Han (b25) 2021; 9 Abedi, Rahimiyan (b29) 2020; 120 Baringo, Conejo (b4) 2013; 28 Attarha (10.1016/j.apenergy.2022.120552_b14) 2018; 9 Ghavidel (10.1016/j.apenergy.2022.120552_b13) 2020; 11 Chen (10.1016/j.apenergy.2022.120552_b27) 2018; 33 Rashidizadeh-Kermani (10.1016/j.apenergy.2022.120552_b20) 2021; 124 Xu (10.1016/j.apenergy.2022.120552_b16) 2020; 156 Baringo (10.1016/j.apenergy.2022.120552_b4) 2013; 28 Han (10.1016/j.apenergy.2022.120552_b15) 2020; 189 Wu (10.1016/j.apenergy.2022.120552_b19) 2020; 11 Tu (10.1016/j.apenergy.2022.120552_b25) 2021; 9 Han (10.1016/j.apenergy.2022.120552_b6) 2019; 177 Guerrero-Mestre (10.1016/j.apenergy.2022.120552_b9) 2016; 31 Baeyens (10.1016/j.apenergy.2022.120552_b8) 2013; 28 Nguyen (10.1016/j.apenergy.2022.120552_b17) 2018; 54 Arjmand (10.1016/j.apenergy.2022.120552_b36) 2016; 86 10.1016/j.apenergy.2022.120552_b30 Damousis (10.1016/j.apenergy.2022.120552_b28) 2004; 19 Tan (10.1016/j.apenergy.2022.120552_b23) 2021; 130 10.1016/j.apenergy.2022.120552_b33 Pandz̆ić (10.1016/j.apenergy.2022.120552_b21) 2013; 105 10.1016/j.apenergy.2022.120552_b34 Wang (10.1016/j.apenergy.2022.120552_b32) 1996 Papavasiliou (10.1016/j.apenergy.2022.120552_b35) 2013; 61 10.1016/j.apenergy.2022.120552_b37 Baringo (10.1016/j.apenergy.2022.120552_b5) 2016; 31 Nguyen (10.1016/j.apenergy.2022.120552_b10) 2018; 9 Malvaldi (10.1016/j.apenergy.2022.120552_b3) 2017; 20 Hosseini (10.1016/j.apenergy.2022.120552_b7) 2020; 280 Rahimiyan (10.1016/j.apenergy.2022.120552_b31) 2016; 31 10.1016/j.apenergy.2022.120552_b39 Heitsch (10.1016/j.apenergy.2022.120552_b38) 2003; 24 Seok (10.1016/j.apenergy.2022.120552_b11) 2019; 138 Tanga (10.1016/j.apenergy.2022.120552_b26) 2018; 221 Morales (10.1016/j.apenergy.2022.120552_b22) 2010; 87 Louie (10.1016/j.apenergy.2022.120552_b2) 2014; 17 Conejo (10.1016/j.apenergy.2022.120552_b1) 2010 Ding (10.1016/j.apenergy.2022.120552_b12) 2016; 31 Qiu (10.1016/j.apenergy.2022.120552_b24) 2019; 44 Abedi (10.1016/j.apenergy.2022.120552_b29) 2020; 120 Zhang (10.1016/j.apenergy.2022.120552_b18) 2020; 11 10.1016/j.apenergy.2022.120552_b40 |
| References_xml | – volume: 33 start-page: 3265 year: 2018 end-page: 3275 ident: b27 article-title: Model-free renewable scenario generation using generative adversarial networks publication-title: IEEE Trans Power Syst – volume: 20 start-page: 1315 year: 2017 end-page: 1329 ident: b3 article-title: A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe publication-title: Wind Energy – volume: 189 year: 2020 ident: b15 article-title: A distributionally robust bidding strategy for a wind-storage aggregator publication-title: Electr Power Syst Res – volume: 28 start-page: 4645 year: 2013 end-page: 4654 ident: b4 article-title: Strategic offering for a wind power producer publication-title: IEEE Trans Power Syst – volume: 61 start-page: 578 year: 2013 end-page: 592 ident: b35 article-title: Multiarea stochastic unit commitment for high wind penetration in a transmission constrained network publication-title: Oper Res – volume: 105 start-page: 282 year: 2013 end-page: 292 ident: b21 article-title: Offering model for a virtual power plant based on stochastic programming publication-title: Appl Energy – volume: 44 start-page: 5162 year: 2019 end-page: 5170 ident: b24 article-title: A scenario generation method based on the mixture vine copula and its application in the power system with wind/hydrogen production publication-title: Int J Hydrog Energy – volume: 31 start-page: 2688 year: 2016 end-page: 2700 ident: b9 article-title: Optimal bidding of a group of wind farms in day-ahead markets through an external agent publication-title: IEEE Trans Power Syst – reference: Windguru–Maui (north shore). 2022, Available at – volume: 120 year: 2020 ident: b29 article-title: Day-ahead energy and reserve scheduling under correlated wind power production publication-title: Int J Electr Power Energy Syst – volume: 24 start-page: 187 year: 2003 end-page: 206 ident: b38 article-title: Scenario reduction algorithms in stochastic programming publication-title: Comput Optim Appl – volume: 9 start-page: 1921 year: 2018 end-page: 1934 ident: b10 article-title: Sharing profit from joint offering of a group of wind power producers in day ahead markets publication-title: IEEE Trans Sustain Energy – volume: 138 start-page: 1134 year: 2019 end-page: 1142 ident: b11 article-title: An intelligent wind power plant coalition formation model achieving balanced market penetration growth and profit increase publication-title: Renew Energy – year: 1996 ident: b32 article-title: A Course in Fuzzy Systems and Control – reference: NREL. Wind integration national dataset toolkit. 2022, Available at – volume: 28 start-page: 3774 year: 2013 end-page: 3784 ident: b8 article-title: Coalitional aggregation of wind power publication-title: IEEE Trans Power Syst – reference: ILOG CPLEX. 2022, Available at – volume: 177 year: 2019 ident: b6 article-title: A distributionally robust bidding strategy for a wind power plant publication-title: Electr Power Syst Res – volume: 11 start-page: 2545 year: 2020 end-page: 2555 ident: b18 article-title: Coordinated bidding strategy of wind farms and power-to-gas facilities using a cooperative game approach publication-title: IEEE Trans Sustain Energy – volume: 31 start-page: 1420 year: 2016 end-page: 1429 ident: b5 article-title: Offering strategy of wind-power producer: A multi-stage risk-constrained approach publication-title: IEEE Trans Power Syst – volume: 280 year: 2020 ident: b7 article-title: An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision publication-title: Appl Energy – reference: GAMS. 2022, Available at – volume: 156 start-page: 47 year: 2020 end-page: 56 ident: b16 article-title: Scheduling of wind-battery hybrid system in the electricity market using distributionally robust optimization publication-title: Renew Energy – volume: 9 start-page: 837 year: 2021 end-page: 848 ident: b25 article-title: Forecasting scenario generation for multiple wind farms considering time-series characteristics and spatial-temporal correlation publication-title: J Mod Power Syst Clean Energy – volume: 19 start-page: 352 year: 2004 end-page: 361 ident: b28 article-title: A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation publication-title: IEEE Trans Energy Convers – reference: ISO New England, US. 2022, Available at – volume: 221 start-page: 348 year: 2018 end-page: 357 ident: b26 article-title: Efficient scenario generation of multiple renewable power plants considering spatial and temporal correlations publication-title: Appl Energy – volume: 11 start-page: 457 year: 2020 end-page: 466 ident: b13 article-title: Risk-constrained bidding strategy for a joint operation of wind power and CAES aggregators publication-title: IEEE Trans Sustain Energy – volume: 31 start-page: 4755 year: 2016 end-page: 4764 ident: b12 article-title: Optimal offering and operating strategies for wind-storage systems with linear decision rules publication-title: IEEE Trans Power Syst – reference: . – volume: 86 start-page: 216 year: 2016 end-page: 227 ident: b36 article-title: Impact of spatio–temporal correlation of wind production on clearing outcomes of a competitive pool market publication-title: Renew Energy – volume: 54 start-page: 3044 year: 2018 end-page: 3055 ident: b17 article-title: A bidding strategy for virtual power plants with the intraday demand response exchange market using the stochastic programming publication-title: IEEE Trans Ind Appl – volume: 87 start-page: 843 year: 2010 end-page: 855 ident: b22 article-title: A methodology to generate statistically dependent wind speed scenarios publication-title: Appl Energy – volume: 9 start-page: 1659 year: 2018 end-page: 1671 ident: b14 article-title: Adaptive robust self-scheduling for a wind producer with compressed air energy storage publication-title: IEEE Trans Sustain Energy – volume: 17 start-page: 793 year: 2014 end-page: 810 ident: b2 article-title: Correlation and statistical characteristics of aggregate wind power in large transcontinental systems publication-title: Wind Energy – year: 2010 ident: b1 publication-title: Decision Making under Uncertainty in Electricity Markets – volume: 124 year: 2021 ident: b20 article-title: A stochastic short-term scheduling of virtual power plants with electric vehicles under competitive markets publication-title: Int J Electr Power Energy Syst – volume: 130 year: 2021 ident: b23 article-title: Wind power scenario generation with non-separable spatio–temporal covariance function and fluctuation-based clustering publication-title: Int J Electr Power Energy Syst – volume: 11 start-page: 2606 year: 2020 end-page: 2616 ident: b19 article-title: Profit-sharing mechanism for aggregation of wind farms and concentrating solar power publication-title: IEEE Trans Sustain Energy – reference: Windy: Wind map and weather forecast. 2022, Available at – volume: 31 start-page: 2676 year: 2016 end-page: 2687 ident: b31 article-title: Strategic bidding for a virtual power plant in the day-ahead and real-time markets: A price-taker robust optimization approach publication-title: IEEE Trans Power Syst – volume: 280 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b7 article-title: An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision publication-title: Appl Energy doi: 10.1016/j.apenergy.2020.115973 – volume: 11 start-page: 2545 issue: 4 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b18 article-title: Coordinated bidding strategy of wind farms and power-to-gas facilities using a cooperative game approach publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2020.2965521 – ident: 10.1016/j.apenergy.2022.120552_b30 – volume: 189 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b15 article-title: A distributionally robust bidding strategy for a wind-storage aggregator publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2020.106745 – volume: 138 start-page: 1134 year: 2019 ident: 10.1016/j.apenergy.2022.120552_b11 article-title: An intelligent wind power plant coalition formation model achieving balanced market penetration growth and profit increase publication-title: Renew Energy doi: 10.1016/j.renene.2019.02.064 – volume: 44 start-page: 5162 issue: 11 year: 2019 ident: 10.1016/j.apenergy.2022.120552_b24 article-title: A scenario generation method based on the mixture vine copula and its application in the power system with wind/hydrogen production publication-title: Int J Hydrog Energy doi: 10.1016/j.ijhydene.2018.09.179 – volume: 61 start-page: 578 year: 2013 ident: 10.1016/j.apenergy.2022.120552_b35 article-title: Multiarea stochastic unit commitment for high wind penetration in a transmission constrained network publication-title: Oper Res doi: 10.1287/opre.2013.1174 – volume: 9 start-page: 1921 issue: 4 year: 2018 ident: 10.1016/j.apenergy.2022.120552_b10 article-title: Sharing profit from joint offering of a group of wind power producers in day ahead markets publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2819137 – volume: 31 start-page: 1420 issue: 2 year: 2016 ident: 10.1016/j.apenergy.2022.120552_b5 article-title: Offering strategy of wind-power producer: A multi-stage risk-constrained approach publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2015.2411332 – volume: 31 start-page: 4755 issue: 6 year: 2016 ident: 10.1016/j.apenergy.2022.120552_b12 article-title: Optimal offering and operating strategies for wind-storage systems with linear decision rules publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2016.2521177 – volume: 105 start-page: 282 year: 2013 ident: 10.1016/j.apenergy.2022.120552_b21 article-title: Offering model for a virtual power plant based on stochastic programming publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.12.077 – volume: 17 start-page: 793 issue: 6 year: 2014 ident: 10.1016/j.apenergy.2022.120552_b2 article-title: Correlation and statistical characteristics of aggregate wind power in large transcontinental systems publication-title: Wind Energy doi: 10.1002/we.1597 – volume: 221 start-page: 348 year: 2018 ident: 10.1016/j.apenergy.2022.120552_b26 article-title: Efficient scenario generation of multiple renewable power plants considering spatial and temporal correlations publication-title: Appl Energy doi: 10.1016/j.apenergy.2018.03.082 – ident: 10.1016/j.apenergy.2022.120552_b34 – volume: 33 start-page: 3265 issue: 3 year: 2018 ident: 10.1016/j.apenergy.2022.120552_b27 article-title: Model-free renewable scenario generation using generative adversarial networks publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2018.2794541 – volume: 130 year: 2021 ident: 10.1016/j.apenergy.2022.120552_b23 article-title: Wind power scenario generation with non-separable spatio–temporal covariance function and fluctuation-based clustering publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2021.106955 – volume: 9 start-page: 837 issue: 4 year: 2021 ident: 10.1016/j.apenergy.2022.120552_b25 article-title: Forecasting scenario generation for multiple wind farms considering time-series characteristics and spatial-temporal correlation publication-title: J Mod Power Syst Clean Energy doi: 10.35833/MPCE.2020.000935 – volume: 156 start-page: 47 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b16 article-title: Scheduling of wind-battery hybrid system in the electricity market using distributionally robust optimization publication-title: Renew Energy doi: 10.1016/j.renene.2020.04.057 – volume: 20 start-page: 1315 issue: 8 year: 2017 ident: 10.1016/j.apenergy.2022.120552_b3 article-title: A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe publication-title: Wind Energy doi: 10.1002/we.2095 – volume: 54 start-page: 3044 issue: 4 year: 2018 ident: 10.1016/j.apenergy.2022.120552_b17 article-title: A bidding strategy for virtual power plants with the intraday demand response exchange market using the stochastic programming publication-title: IEEE Trans Ind Appl doi: 10.1109/TIA.2018.2828379 – volume: 19 start-page: 352 issue: 2 year: 2004 ident: 10.1016/j.apenergy.2022.120552_b28 article-title: A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation publication-title: IEEE Trans Energy Convers doi: 10.1109/TEC.2003.821865 – year: 1996 ident: 10.1016/j.apenergy.2022.120552_b32 – volume: 24 start-page: 187 issue: 2–3 year: 2003 ident: 10.1016/j.apenergy.2022.120552_b38 article-title: Scenario reduction algorithms in stochastic programming publication-title: Comput Optim Appl doi: 10.1023/A:1021805924152 – volume: 124 year: 2021 ident: 10.1016/j.apenergy.2022.120552_b20 article-title: A stochastic short-term scheduling of virtual power plants with electric vehicles under competitive markets publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2020.106343 – volume: 87 start-page: 843 year: 2010 ident: 10.1016/j.apenergy.2022.120552_b22 article-title: A methodology to generate statistically dependent wind speed scenarios publication-title: Appl Energy doi: 10.1016/j.apenergy.2009.09.022 – volume: 120 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b29 article-title: Day-ahead energy and reserve scheduling under correlated wind power production publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2020.105931 – ident: 10.1016/j.apenergy.2022.120552_b37 – volume: 31 start-page: 2676 issue: 4 year: 2016 ident: 10.1016/j.apenergy.2022.120552_b31 article-title: Strategic bidding for a virtual power plant in the day-ahead and real-time markets: A price-taker robust optimization approach publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2015.2483781 – ident: 10.1016/j.apenergy.2022.120552_b39 – volume: 9 start-page: 1659 issue: 4 year: 2018 ident: 10.1016/j.apenergy.2022.120552_b14 article-title: Adaptive robust self-scheduling for a wind producer with compressed air energy storage publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2806444 – volume: 86 start-page: 216 year: 2016 ident: 10.1016/j.apenergy.2022.120552_b36 article-title: Impact of spatio–temporal correlation of wind production on clearing outcomes of a competitive pool market publication-title: Renew Energy doi: 10.1016/j.renene.2015.07.104 – ident: 10.1016/j.apenergy.2022.120552_b33 – ident: 10.1016/j.apenergy.2022.120552_b40 – volume: 28 start-page: 4645 issue: 4 year: 2013 ident: 10.1016/j.apenergy.2022.120552_b4 article-title: Strategic offering for a wind power producer publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2273276 – volume: 28 start-page: 3774 issue: 4 year: 2013 ident: 10.1016/j.apenergy.2022.120552_b8 article-title: Coalitional aggregation of wind power publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2262502 – volume: 11 start-page: 2606 issue: 4 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b19 article-title: Profit-sharing mechanism for aggregation of wind farms and concentrating solar power publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2020.2967860 – year: 2010 ident: 10.1016/j.apenergy.2022.120552_b1 – volume: 31 start-page: 2688 issue: 4 year: 2016 ident: 10.1016/j.apenergy.2022.120552_b9 article-title: Optimal bidding of a group of wind farms in day-ahead markets through an external agent publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2015.2477466 – volume: 11 start-page: 457 issue: 1 year: 2020 ident: 10.1016/j.apenergy.2022.120552_b13 article-title: Risk-constrained bidding strategy for a joint operation of wind power and CAES aggregators publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2895332 – volume: 177 year: 2019 ident: 10.1016/j.apenergy.2022.120552_b6 article-title: A distributionally robust bidding strategy for a wind power plant publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2019.105986 |
| SSID | ssj0002120 |
| Score | 2.467571 |
| Snippet | This paper formulates the offering problem for a cluster of wind-storage systems in the day-ahead energy market using a risk-constrained stochastic programming... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 120552 |
| SubjectTerms | Conditional value-at-risk Correlated scenarios Offering strategy Stochastic programming Wind-storage systems |
| Title | Optimal offering strategy for wind-storage systems under correlated wind production |
| URI | https://dx.doi.org/10.1016/j.apenergy.2022.120552 |
| Volume | 333 |
| WOSCitedRecordID | wos000925252900001&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: 0306-2619 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0002120 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LT9wwELZa4AAHRHmIt3zoDQWydrKJjwht1VYVrQpIe4vs2BFBEFabXVj49YxfSWgRlEMvURRlHO_O58mMM_MNQp9T3eitKIqgH3IIUHphGIg0VEFERC6IoAksKdNsIjk9TYdD9svlz9emnUBSVelsxkb_VdVwDZStS2ffoe5mULgA56B0OILa4fhPiv8JRuDGuJiFoRk8qC0Brc3MvIcYPNAZkTpXx9I416YX7vgg1406rvnEJKQb-gBDBusV56lqnduqTNFg4weXY0tGcKZG6rJJ-P3NL8ub8sFuspq83sd2A4Dr2Zmd2h_T8tn2A6Ft_pUvuwr7gQ7DuiaVUtoxij0Sxpam9i97bbcOrg75yM4aAnZCDluB5wTZf7y4mnRCn6l2lflxMj1OZsf5iOZJEjMwefPH3wbD782LmjjWTv8LOgXkL8_oZd-l44-cr6BlF0jgYwuAT-iDqlbRUodechVtDNoqRrjVmfF6DZ05jGCPEewxggEjuIsR7DCCDUZwixFzF24xso4uvgzOT74GrrtGkINbNgmUSiJJOJNUKSYimuSCF1RJJjVhUygEWO4-T7jSX5ZFCmu5n0eaIJBLIiMe0g00V91WahPhuCejomAgAc6OjFOWqJ5uuyo1vT_N6RaK_f-W5Y56XndAuc5e19wWOmrkRpZ85U0J5tWSORfSuoYZIO4N2e13P20HLbZLYhfNTcZTtYcW8rtJWY_3HdyeABTfmhE |
| 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+offering+strategy+for+wind-storage+systems+under+correlated+wind+production&rft.jtitle=Applied+energy&rft.au=Dirin%2C+Sepehr&rft.au=Rahimiyan%2C+Morteza&rft.au=Baringo%2C+Luis&rft.date=2023-03-01&rft.issn=0306-2619&rft.volume=333&rft.spage=120552&rft_id=info:doi/10.1016%2Fj.apenergy.2022.120552&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_apenergy_2022_120552 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0306-2619&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0306-2619&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0306-2619&client=summon |