Robust MPC-based bidding strategy for wind storage systems in real-time energy and regulation markets
•A RMPC based Bidding Strategy optimization model is proposed.•The storage system is employed to make arbitrages.•The RMPC-based nonlinear model is transformed to a MILP model.•The efficiency of the proposed method is validated with PJM market data. This paper presents a robust model predictive cont...
Uloženo v:
| Vydáno v: | International journal of electrical power & energy systems Ročník 124; s. 106361 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.01.2021
|
| Témata: | |
| ISSN: | 0142-0615, 1879-3517 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •A RMPC based Bidding Strategy optimization model is proposed.•The storage system is employed to make arbitrages.•The RMPC-based nonlinear model is transformed to a MILP model.•The efficiency of the proposed method is validated with PJM market data.
This paper presents a robust model predictive control (RMPC)-based bidding strategy for wind-storage systems to increase their revenue in real-time energy and regulation markets. The bidding capacities of the wind-storage system in the energy and regulation market are optimized to maximize revenue. Additionally, storage systems are employed to make arbitrage by absorbing low-cost energy in the energy market and selling it in the energy and regulation market. The uncertainties of wind power outputs and electricity prices are described as predefined uncertainty sets. A mixed-integer nonlinear programming model based on RMPC is built to generate the optimal strategy in the next several prediction horizons, and the bidding strategy in the first prediction horizon is applied to the real-time market. The nonlinear optimization model is transformed into a mixed-integer programming (MILP) model that can be solved efficiently by CPLEX. The effectiveness of the proposed method is validated with PJM market data. |
|---|---|
| AbstractList | •A RMPC based Bidding Strategy optimization model is proposed.•The storage system is employed to make arbitrages.•The RMPC-based nonlinear model is transformed to a MILP model.•The efficiency of the proposed method is validated with PJM market data.
This paper presents a robust model predictive control (RMPC)-based bidding strategy for wind-storage systems to increase their revenue in real-time energy and regulation markets. The bidding capacities of the wind-storage system in the energy and regulation market are optimized to maximize revenue. Additionally, storage systems are employed to make arbitrage by absorbing low-cost energy in the energy market and selling it in the energy and regulation market. The uncertainties of wind power outputs and electricity prices are described as predefined uncertainty sets. A mixed-integer nonlinear programming model based on RMPC is built to generate the optimal strategy in the next several prediction horizons, and the bidding strategy in the first prediction horizon is applied to the real-time market. The nonlinear optimization model is transformed into a mixed-integer programming (MILP) model that can be solved efficiently by CPLEX. The effectiveness of the proposed method is validated with PJM market data. |
| ArticleNumber | 106361 |
| Author | Guo, Weiqing Xie, Yunyun Wang, Ke Wu, Qiuwei |
| Author_xml | – sequence: 1 givenname: Yunyun surname: Xie fullname: Xie, Yunyun email: Yunyun_xie@njust.edu.cn organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu Province, China – sequence: 2 givenname: Weiqing surname: Guo fullname: Guo, Weiqing organization: Maintenance Branch Company of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311232, Zhejiang Province, China – sequence: 3 givenname: Qiuwei surname: Wu fullname: Wu, Qiuwei organization: Centre for Electric Power and Energy, Technical University of Denmark, Kgs. Lyngby, DK 2800, Denmark – sequence: 4 givenname: Ke surname: Wang fullname: Wang, Ke organization: Electric Power Research Institute of State Grid, Nanjing 211003, Jiangsu Province, China |
| BookMark | eNqFkM1KAzEUhYNUsK2-gYu8wNRkMjOZcSFI8Q8qiug65OdmyDjNlCRV-vZOrSsXurpwON_hnjNDEz94QOickgUltLroFq6DDcRFTvK9VLGKHqEprXmTsZLyCZoSWuQZqWh5gmYxdoQQ3hT5FMHLoLYx4cfnZaZkBIOVM8b5FscUZIJ2h-0Q8KfzZlSGIFvAcRcTrCN2HgeQfZbcGjB4CKNZjr4A7baXyQ0er2V4hxRP0bGVfYSznztHb7c3r8v7bPV097C8XmWakSpl0jAAS0umGeeyzmuloLGNLBg3liuas6JsuCYF1bZWDWdKl4pRW4KStbKGzdHlIVeHIcYAVmiXvj8Zy7heUCL2g4lOHAYT-8HEYbARLn7Bm-DGArv_sKsDBmOxDwdBRO3AazAugE7CDO7vgC8uGYu1 |
| CitedBy_id | crossref_primary_10_1016_j_ijepes_2021_106796 crossref_primary_10_1038_s41598_025_95636_0 crossref_primary_10_1007_s42524_022_0194_4 crossref_primary_10_3390_en17020380 crossref_primary_10_1016_j_apenergy_2025_126662 crossref_primary_10_1016_j_energy_2025_137095 crossref_primary_10_1016_j_segan_2024_101578 crossref_primary_10_1016_j_ijepes_2021_107080 crossref_primary_10_3389_fenrg_2022_924106 crossref_primary_10_1016_j_egyr_2021_05_041 crossref_primary_10_1016_j_ijepes_2024_110265 crossref_primary_10_1016_j_energy_2021_120386 crossref_primary_10_3390_su17188159 crossref_primary_10_3390_en16041700 crossref_primary_10_1186_s41601_023_00332_8 crossref_primary_10_1109_TIA_2021_3072603 crossref_primary_10_1109_TII_2024_3352229 crossref_primary_10_1016_j_apenergy_2023_121918 crossref_primary_10_1002_tee_23588 crossref_primary_10_1016_j_egyr_2025_06_043 crossref_primary_10_23919_PCMP_2024_000200 crossref_primary_10_3390_app12041823 crossref_primary_10_3390_en18164447 crossref_primary_10_3390_pr8091182 crossref_primary_10_1016_j_energy_2024_130624 crossref_primary_10_1016_j_est_2022_106161 crossref_primary_10_1016_j_seta_2023_103329 crossref_primary_10_1016_j_epsr_2024_111148 crossref_primary_10_1016_j_ijepes_2025_110591 crossref_primary_10_1016_j_energy_2023_129094 crossref_primary_10_1016_j_apenergy_2023_121243 crossref_primary_10_1016_j_energy_2022_123220 crossref_primary_10_1016_j_ijepes_2024_109994 crossref_primary_10_1016_j_ijepes_2024_110012 crossref_primary_10_1155_er_9088459 crossref_primary_10_1016_j_segan_2023_101183 crossref_primary_10_3390_su132313409 crossref_primary_10_1016_j_apenergy_2020_116285 crossref_primary_10_2478_pomr_2021_0003 |
| Cites_doi | 10.1109/TPWRS.2009.2036810 10.1016/j.energy.2017.07.101 10.1109/TPWRS.2017.2681720 10.1109/ISGT-Asia.2015.7387083 10.1109/TSTE.2013.2278406 10.1109/TSG.2013.2271283 10.1109/TPWRS.2011.2178618 10.1109/TII.2017.2662069 10.1109/TPWRS.2017.2649579 10.1109/TPWRS.2016.2644642 10.1287/opre.1030.0065 10.1109/TPWRS.2013.2273276 10.1109/TSTE.2012.2228284 10.17775/CSEEJPES.2018.00130 10.1109/TSTE.2011.2111468 10.1109/TSTE.2015.2472576 10.1109/TII.2016.2522641 |
| ContentType | Journal Article |
| Copyright | 2020 Elsevier Ltd |
| Copyright_xml | – notice: 2020 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ijepes.2020.106361 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1879-3517 |
| ExternalDocumentID | 10_1016_j_ijepes_2020_106361 S0142061520313454 |
| GroupedDBID | --K --M .~1 0R~ 0SF 1B1 1~. 1~5 29J 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARJD AAXUO AAYFN ABBOA ABFNM ABJNI ABMAC ABTAH ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AHZHX AI. AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BELTK BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA GBOLZ HVGLF HZ~ IHE J1W JARJE JJJVA K-O KOM LY6 LY7 M41 MO0 O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SAC SDF SDG SDP SES SET SEW SPC SPCBC SSR SST SSV SSZ T5K VH1 WUQ ZMT ZY4 ~02 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO ADVLN AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS GROUPED_DOAJ ~HD |
| ID | FETCH-LOGICAL-c306t-ad3eef153c377a828bbe9f9a437df7b1234597c041cf8b973bc5b31f5eba8bfd3 |
| ISICitedReferencesCount | 47 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000573215500005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0142-0615 |
| IngestDate | Sat Nov 29 07:24:05 EST 2025 Tue Nov 18 21:56:42 EST 2025 Fri Feb 23 02:47:04 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Real-time energy market Regulation market Robust model predictive control Bidding strategy |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c306t-ad3eef153c377a828bbe9f9a437df7b1234597c041cf8b973bc5b31f5eba8bfd3 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_ijepes_2020_106361 crossref_primary_10_1016_j_ijepes_2020_106361 elsevier_sciencedirect_doi_10_1016_j_ijepes_2020_106361 |
| PublicationCentury | 2000 |
| PublicationDate | January 2021 2021-01-00 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – month: 01 year: 2021 text: January 2021 |
| PublicationDecade | 2020 |
| PublicationTitle | International journal of electrical power & energy systems |
| PublicationYear | 2021 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Ding, Pinson, Hu (b0070) 2017; 32 Zhang, Zhang, Huang (b0085) 2018; 4 Jirsaraie, Ghadi, Vahed (b0100) 2019 Zhang B, Hu W, Chen Z. Stochastic optimal regulation service strategy for a wind farm participating in the electricity market. In: Innovative Smart Grid Technologies-Asia. IEEE; 2016. He, Chen, Kang (b0110) 2017; 32 Ding, Hu, Song (b0075) 2014; 30 Mustafa, Ali, Mohammad (b0105) 2017; 138 Yuan, Zhang, Ju (b0135) 2014; 24 Baringo, Conejo (b0020) 2013; 28 Liang, Grijalva, Harley (b0050) 2011; 2 Bertsimas, Dimitris, Sim, et al. The price of robustness. Oper Res 2001;52(1):35–53. Thatte, Xie, Viassolo (b0080) 2013; 4 Yang, Zhang, Qiu (b0120) 2017; 13 Morales, Conejo, Perez-Ruiz (b0130) 2010; 25 Shu, Jirutitijaroen (b0090) 2014; 5 Cui, Chen, He (b0040) 2016; 40 Aho J, Pao L Y, Fleming P, et al. Controlling Wind Turbines for Secondary Frequency Regulation: An Analysis of AGC Capabilities under New Performance Based Compensation Policy: Preprint[R]. United States, 2015. Market Forecast for 2016–2020 [Online]. Available . Lee, Shin, Baldick (b0055) 2018 Ding, Pinson, Hu (b0065) 2015; 7 Xiao, Wang, Wang (b0015) 2018; 38 He, Chen, Kang (b0125) 2017; 32 Pei, Du, Deng (b0115) 2016; 12 Vilim, Botterud (b0030) 2014; 118 Saiz-Marin (b0035) 2012; 27 Zhang, Hu, Xie (b0060) 2017; 32 Khodayar, Shahidehpour (b0095) 2013; 4 Wind Energy in Europe in 2018 [Online]. Available Pei (10.1016/j.ijepes.2020.106361_b0115) 2016; 12 Thatte (10.1016/j.ijepes.2020.106361_b0080) 2013; 4 Zhang (10.1016/j.ijepes.2020.106361_b0060) 2017; 32 10.1016/j.ijepes.2020.106361_b0010 Khodayar (10.1016/j.ijepes.2020.106361_b0095) 2013; 4 Jirsaraie (10.1016/j.ijepes.2020.106361_b0100) 2019 Yang (10.1016/j.ijepes.2020.106361_b0120) 2017; 13 Xiao (10.1016/j.ijepes.2020.106361_b0015) 2018; 38 Cui (10.1016/j.ijepes.2020.106361_b0040) 2016; 40 Mustafa (10.1016/j.ijepes.2020.106361_b0105) 2017; 138 Morales (10.1016/j.ijepes.2020.106361_b0130) 2010; 25 Baringo (10.1016/j.ijepes.2020.106361_b0020) 2013; 28 Ding (10.1016/j.ijepes.2020.106361_b0065) 2015; 7 Shu (10.1016/j.ijepes.2020.106361_b0090) 2014; 5 He (10.1016/j.ijepes.2020.106361_b0125) 2017; 32 Yuan (10.1016/j.ijepes.2020.106361_b0135) 2014; 24 10.1016/j.ijepes.2020.106361_b0140 10.1016/j.ijepes.2020.106361_b0025 10.1016/j.ijepes.2020.106361_b0045 Lee (10.1016/j.ijepes.2020.106361_b0055) 2018 10.1016/j.ijepes.2020.106361_b0005 Saiz-Marin (10.1016/j.ijepes.2020.106361_b0035) 2012; 27 He (10.1016/j.ijepes.2020.106361_b0110) 2017; 32 Vilim (10.1016/j.ijepes.2020.106361_b0030) 2014; 118 Zhang (10.1016/j.ijepes.2020.106361_b0085) 2018; 4 Ding (10.1016/j.ijepes.2020.106361_b0070) 2017; 32 Ding (10.1016/j.ijepes.2020.106361_b0075) 2014; 30 Liang (10.1016/j.ijepes.2020.106361_b0050) 2011; 2 |
| References_xml | – volume: 7 start-page: 163 year: 2015 end-page: 172 ident: b0065 article-title: Integrated bidding and operating strategies for wind-storage systems publication-title: IEEE Trans Sustainable Energy – volume: 24 start-page: 264 year: 2014 end-page: 280 ident: b0135 article-title: Determination of economic dispatch of wind farm-battery energy storage system using Genetic Algorithm publication-title: Eur Trans Electr Power – year: 2019 ident: b0100 article-title: Risk-constrained bidding strategy for a joint operation of wind power and compressed air energy storage aggregators publication-title: IEEE Trans Sustainable Energy – volume: 4 start-page: 554 year: 2013 end-page: 562 ident: b0095 article-title: Stochastic price-based coordination of intrahour wind energy and storage in a generation company publication-title: IEEE Trans Sustainable Energy – volume: 138 start-page: 991 year: 2017 end-page: 1005 ident: b0105 article-title: Co-optimized trading of wind-thermal-pumped storage system in energy and regulation markets publication-title: Energy – volume: 4 start-page: 2191 year: 2013 end-page: 2199 ident: b0080 article-title: Risk measure based robust bidding strategy for arbitrage using a wind farm and energy storage publication-title: IEEE Trans Smart Grid – reference: Zhang B, Hu W, Chen Z. Stochastic optimal regulation service strategy for a wind farm participating in the electricity market. In: Innovative Smart Grid Technologies-Asia. IEEE; 2016. – volume: 5 start-page: 190 year: 2014 end-page: 199 ident: b0090 article-title: Optimal operation strategy of energy storage system for grid-connected wind power plants publication-title: IEEE Trans Sustainable Energy – volume: 2 start-page: 340 year: 2011 end-page: 347 ident: b0050 article-title: Increased wind revenue and system security by trading wind power in energy and regulation reserve markets publication-title: IEEE Trans Sustainable Energy – volume: 38 start-page: 663 year: 2018 end-page: 674 ident: b0015 article-title: Review on electricity market towards high proportion of renewable energy publication-title: Proc Chinese Soc Electrical Eng – volume: 32 start-page: 4904 year: 2017 end-page: 4913 ident: b0070 article-title: Optimal offering and operating strategy for a large wind-storage system as a price maker publication-title: IEEE Trans Power Syst – volume: 12 start-page: 587 year: 2016 end-page: 596 ident: b0115 article-title: Optimal bidding strategy and intramarket mechanism of microgrid aggregator in real-time balancing market publication-title: IEEE Trans Ind Inf – volume: 27 start-page: 866 year: 2012 end-page: 874 ident: b0035 article-title: Economic assessment of the participation of wind generation in the secondary regulation market publication-title: IEEE Trans Power Syst: Publ Power Eng Soc – volume: 25 start-page: 554 year: 2010 end-page: 564 ident: b0130 article-title: Short-term trading for a wind power producer publication-title: IEEE Trans Power Syst – volume: 32 start-page: 3559 year: 2017 end-page: 3568 ident: b0110 article-title: Cooperation of wind power and battery storage to provide frequency regulation in power markets publication-title: IEEE Trans Power Syst – volume: 30 start-page: 1 year: 2014 end-page: 9 ident: b0075 article-title: Rolling optimization of wind farm and energy storage system in electricity markets publication-title: IEEE Trans Power Syst – reference: Market Forecast for 2016–2020 [Online]. Available: – reference: . – volume: 28 start-page: 4645 year: 2013 end-page: 4654 ident: b0020 article-title: Strategic offering for a wind power producer publication-title: IEEE Trans Power Syst – volume: 32 start-page: 3373 year: 2017 end-page: 3380 ident: b0060 article-title: Assessment of the effectiveness of energy storage resources in the frequency regulation of a single-area power system publication-title: IEEE Trans Power Syst – volume: 118 start-page: 141 year: 2014 end-page: 155 ident: b0030 article-title: Wind power bidding in electricity markets with high wind penetration publication-title: Energy – reference: Wind Energy in Europe in 2018 [Online]. Available: – reference: Bertsimas, Dimitris, Sim, et al. The price of robustness. Oper Res 2001;52(1):35–53. – volume: 4 start-page: 417 year: 2018 end-page: 424 ident: b0085 article-title: Market-oriented optimal dispatching strategy for a wind farm with a multiple stage hybrid energy storage system publication-title: CSEE J Power Energy Syst – reference: Aho J, Pao L Y, Fleming P, et al. Controlling Wind Turbines for Secondary Frequency Regulation: An Analysis of AGC Capabilities under New Performance Based Compensation Policy: Preprint[R]. United States, 2015. – volume: 13 start-page: 2555 year: 2017 end-page: 2565 ident: b0120 article-title: CVaR-constrained optimal bidding of electric vehicle aggregators in day-ahead and real-time markets publication-title: IEEE Trans Ind Inf – start-page: 1 year: 2018 end-page: 10 ident: b0055 article-title: Bivariate probabilistic wind power and real-time price forecasting and their applications to wind power bidding strategy development publication-title: IEEE Trans Power Syst – volume: 40 start-page: 5 year: 2016 end-page: 12 ident: b0040 article-title: The optimization strategy of wind power participating in energy and regulation market publication-title: Automat Electric Power Syst – volume: 32 start-page: 3559 year: 2017 end-page: 3568 ident: b0125 article-title: Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life publication-title: IEEE Trans Smart Grid – volume: 24 start-page: 264 issue: 2 year: 2014 ident: 10.1016/j.ijepes.2020.106361_b0135 article-title: Determination of economic dispatch of wind farm-battery energy storage system using Genetic Algorithm publication-title: Eur Trans Electr Power – volume: 32 start-page: 3559 issue: 5 year: 2017 ident: 10.1016/j.ijepes.2020.106361_b0125 article-title: Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life publication-title: IEEE Trans Smart Grid – volume: 25 start-page: 554 issue: 1 year: 2010 ident: 10.1016/j.ijepes.2020.106361_b0130 article-title: Short-term trading for a wind power producer publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2036810 – volume: 138 start-page: 991 year: 2017 ident: 10.1016/j.ijepes.2020.106361_b0105 article-title: Co-optimized trading of wind-thermal-pumped storage system in energy and regulation markets publication-title: Energy doi: 10.1016/j.energy.2017.07.101 – ident: 10.1016/j.ijepes.2020.106361_b0005 – volume: 38 start-page: 663 issue: 3 year: 2018 ident: 10.1016/j.ijepes.2020.106361_b0015 article-title: Review on electricity market towards high proportion of renewable energy publication-title: Proc Chinese Soc Electrical Eng – volume: 32 start-page: 4904 issue: 6 year: 2017 ident: 10.1016/j.ijepes.2020.106361_b0070 article-title: Optimal offering and operating strategy for a large wind-storage system as a price maker publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2681720 – ident: 10.1016/j.ijepes.2020.106361_b0045 doi: 10.1109/ISGT-Asia.2015.7387083 – volume: 5 start-page: 190 issue: 1 year: 2014 ident: 10.1016/j.ijepes.2020.106361_b0090 article-title: Optimal operation strategy of energy storage system for grid-connected wind power plants publication-title: IEEE Trans Sustainable Energy doi: 10.1109/TSTE.2013.2278406 – year: 2019 ident: 10.1016/j.ijepes.2020.106361_b0100 article-title: Risk-constrained bidding strategy for a joint operation of wind power and compressed air energy storage aggregators publication-title: IEEE Trans Sustainable Energy – ident: 10.1016/j.ijepes.2020.106361_b0010 – volume: 4 start-page: 2191 issue: 4 year: 2013 ident: 10.1016/j.ijepes.2020.106361_b0080 article-title: Risk measure based robust bidding strategy for arbitrage using a wind farm and energy storage publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2013.2271283 – volume: 27 start-page: 866 issue: 2 year: 2012 ident: 10.1016/j.ijepes.2020.106361_b0035 article-title: Economic assessment of the participation of wind generation in the secondary regulation market publication-title: IEEE Trans Power Syst: Publ Power Eng Soc doi: 10.1109/TPWRS.2011.2178618 – volume: 118 start-page: 141 year: 2014 ident: 10.1016/j.ijepes.2020.106361_b0030 article-title: Wind power bidding in electricity markets with high wind penetration publication-title: Energy – volume: 13 start-page: 2555 issue: 5 year: 2017 ident: 10.1016/j.ijepes.2020.106361_b0120 article-title: CVaR-constrained optimal bidding of electric vehicle aggregators in day-ahead and real-time markets publication-title: IEEE Trans Ind Inf doi: 10.1109/TII.2017.2662069 – start-page: 1 year: 2018 ident: 10.1016/j.ijepes.2020.106361_b0055 article-title: Bivariate probabilistic wind power and real-time price forecasting and their applications to wind power bidding strategy development publication-title: IEEE Trans Power Syst – volume: 32 start-page: 3373 issue: 5 year: 2017 ident: 10.1016/j.ijepes.2020.106361_b0060 article-title: Assessment of the effectiveness of energy storage resources in the frequency regulation of a single-area power system publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2649579 – ident: 10.1016/j.ijepes.2020.106361_b0025 – volume: 40 start-page: 5 issue: 13 year: 2016 ident: 10.1016/j.ijepes.2020.106361_b0040 article-title: The optimization strategy of wind power participating in energy and regulation market publication-title: Automat Electric Power Syst – volume: 32 start-page: 3559 issue: 5 year: 2017 ident: 10.1016/j.ijepes.2020.106361_b0110 article-title: Cooperation of wind power and battery storage to provide frequency regulation in power markets publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2016.2644642 – ident: 10.1016/j.ijepes.2020.106361_b0140 doi: 10.1287/opre.1030.0065 – volume: 28 start-page: 4645 issue: 4 year: 2013 ident: 10.1016/j.ijepes.2020.106361_b0020 article-title: Strategic offering for a wind power producer publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2273276 – volume: 4 start-page: 554 issue: 3 year: 2013 ident: 10.1016/j.ijepes.2020.106361_b0095 article-title: Stochastic price-based coordination of intrahour wind energy and storage in a generation company publication-title: IEEE Trans Sustainable Energy doi: 10.1109/TSTE.2012.2228284 – volume: 4 start-page: 417 issue: 4 year: 2018 ident: 10.1016/j.ijepes.2020.106361_b0085 article-title: Market-oriented optimal dispatching strategy for a wind farm with a multiple stage hybrid energy storage system publication-title: CSEE J Power Energy Syst doi: 10.17775/CSEEJPES.2018.00130 – volume: 30 start-page: 1 issue: 5 year: 2014 ident: 10.1016/j.ijepes.2020.106361_b0075 article-title: Rolling optimization of wind farm and energy storage system in electricity markets publication-title: IEEE Trans Power Syst – volume: 2 start-page: 340 issue: 3 year: 2011 ident: 10.1016/j.ijepes.2020.106361_b0050 article-title: Increased wind revenue and system security by trading wind power in energy and regulation reserve markets publication-title: IEEE Trans Sustainable Energy doi: 10.1109/TSTE.2011.2111468 – volume: 7 start-page: 163 issue: 1 year: 2015 ident: 10.1016/j.ijepes.2020.106361_b0065 article-title: Integrated bidding and operating strategies for wind-storage systems publication-title: IEEE Trans Sustainable Energy doi: 10.1109/TSTE.2015.2472576 – volume: 12 start-page: 587 issue: 2 year: 2016 ident: 10.1016/j.ijepes.2020.106361_b0115 article-title: Optimal bidding strategy and intramarket mechanism of microgrid aggregator in real-time balancing market publication-title: IEEE Trans Ind Inf doi: 10.1109/TII.2016.2522641 |
| SSID | ssj0007942 |
| Score | 2.5203962 |
| Snippet | •A RMPC based Bidding Strategy optimization model is proposed.•The storage system is employed to make arbitrages.•The RMPC-based nonlinear model is transformed... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 106361 |
| SubjectTerms | Bidding strategy Real-time energy market Regulation market Robust model predictive control |
| Title | Robust MPC-based bidding strategy for wind storage systems in real-time energy and regulation markets |
| URI | https://dx.doi.org/10.1016/j.ijepes.2020.106361 |
| Volume | 124 |
| WOSCitedRecordID | wos000573215500005&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 customDbUrl: eissn: 1879-3517 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007942 issn: 0142-0615 databaseCode: AIEXJ dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaWLQc4oPISLS3ygVtltEmcOj5WVctDoiqoiOUU2YkjZbWkS7Pp43_wg5nJONm0RbwkLlHkXSeR55Pn4ZlvGHupwOeQgQ2ECZUVMlZwJ40RAI48LrSb5Cprm02oo6NkOtXHo9H3rhbmfK6qKrm81Iv_KmoYA2Fj6exfiLt_KAzAPQgdriB2uP6R4D-e2qZe7rw_3heoosDALPOcogYtLQRlaF6UGDAHhxtzdojOuabaFjMX2HB-x1FVYJt_Tg3rESlf2yrpemjTXg8qDqgoqMVOi4IFNmNrYeYfWw-Y0kHeUzom-dJUV00P19dNG8f97MpvnYJF9dHg4IeyuXDl6jjAb1luGMUIgxtRjL68ZpXLRNHOEFtP0LG3ox06URrLD9S1LZzqsG-pA4pMzF6VM7dwSM4e4uBuRPzvN4i2Mc8txLeFyGcpY3mHrYUq1smYre29PZi-6zU87GEhpcbS53UlmW3e4O13_dzkGZgxJ-vsgfc_-B7h5iEbueoRuz9gpXzMHCGI9wjiHkG8QxAHBHFEEPcI4l6cvKx4jyBOouaAIL5CEPcIesI-HR6c7L8RvhuHyMCtXAqTR84VoCCzSCkDjrq1ThfayEjlhbJgAUlwTrOJDLIisVpFNottFBSxsyaxRR49ZePqtHLPGIefw11b2EBrBw6DtjYpciW1sRLc23yywaJuwdLMU9Vjx5R52uUkzlJa5hSXOaVl3mCin7Ugqpbf_F91ski9uUlmZArw-eXMzX-e-ZzdW6F_i42XZ43bZnez82VZn73wOPsB6_qqkg |
| 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=Robust+MPC-based+bidding+strategy+for+wind+storage+systems+in+real-time+energy+and+regulation+markets&rft.jtitle=International+journal+of+electrical+power+%26+energy+systems&rft.au=Xie%2C+Yunyun&rft.au=Guo%2C+Weiqing&rft.au=Wu%2C+Qiuwei&rft.au=Wang%2C+Ke&rft.date=2021-01-01&rft.pub=Elsevier+Ltd&rft.issn=0142-0615&rft.eissn=1879-3517&rft.volume=124&rft_id=info:doi/10.1016%2Fj.ijepes.2020.106361&rft.externalDocID=S0142061520313454 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0142-0615&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0142-0615&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0142-0615&client=summon |