Improved decomposition–coordination and discrete differential dynamic programming for optimization of large-scale hydropower system
•Optimization of large-scale hydropower system in the Yangtze River basin.•Improved decomposition–coordination and discrete differential dynamic programming.•Generating initial solution randomly to reduce generation time.•Proposing relative coefficient for more power generation.•Proposing adaptive b...
Uloženo v:
| Vydáno v: | Energy conversion and management Ročník 84; s. 363 - 373 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Kidlington
Elsevier Ltd
01.08.2014
Elsevier |
| Témata: | |
| ISSN: | 0196-8904, 1879-2227 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •Optimization of large-scale hydropower system in the Yangtze River basin.•Improved decomposition–coordination and discrete differential dynamic programming.•Generating initial solution randomly to reduce generation time.•Proposing relative coefficient for more power generation.•Proposing adaptive bias corridor technology to enhance convergence speed.
With the construction of major hydro plants, more and more large-scale hydropower systems are taking shape gradually, which brings up a challenge to optimize these systems. Optimization of large-scale hydropower system (OLHS), which is to determine water discharges or water levels of overall hydro plants for maximizing total power generation when subjecting to lots of constrains, is a high dimensional, nonlinear and coupling complex problem. In order to solve the OLHS problem effectively, an improved decomposition–coordination and discrete differential dynamic programming (IDC–DDDP) method is proposed in this paper. A strategy that initial solution is generated randomly is adopted to reduce generation time. Meanwhile, a relative coefficient based on maximum output capacity is proposed for more power generation. Moreover, an adaptive bias corridor technology is proposed to enhance convergence speed. The proposed method is applied to long-term optimal dispatches of large-scale hydropower system (LHS) in the Yangtze River basin. Compared to other methods, IDC–DDDP has competitive performances in not only total power generation but also convergence speed, which provides a new method to solve the OLHS problem. |
|---|---|
| AbstractList | With the construction of major hydro plants, more and more large-scale hydropower systems are taking shape gradually, which brings up a challenge to optimize these systems. Optimization of large-scale hydropower system (OLHS), which is to determine water discharges or water levels of overall hydro plants for maximizing total power generation when subjecting to lots of constrains, is a high dimensional, nonlinear and coupling complex problem. In order to solve the OLHS problem effectively, an improved decomposition-coordination and discrete differential dynamic programming (IDC-DDDP) method is proposed in this paper. A strategy that initial solution is generated randomly is adopted to reduce generation time. Meanwhile, a relative coefficient based on maximum output capacity is proposed for more power generation. Moreover, an adaptive bias corridor technology is proposed to enhance convergence speed. The proposed method is applied to long-term optimal dispatches of large-scale hydropower system (LHS) in the Yangtze River basin. Compared to other methods, IDC-DDDP has competitive performances in not only total power generation but also convergence speed, which provides a new method to solve the OLHS problem. •Optimization of large-scale hydropower system in the Yangtze River basin.•Improved decomposition–coordination and discrete differential dynamic programming.•Generating initial solution randomly to reduce generation time.•Proposing relative coefficient for more power generation.•Proposing adaptive bias corridor technology to enhance convergence speed. With the construction of major hydro plants, more and more large-scale hydropower systems are taking shape gradually, which brings up a challenge to optimize these systems. Optimization of large-scale hydropower system (OLHS), which is to determine water discharges or water levels of overall hydro plants for maximizing total power generation when subjecting to lots of constrains, is a high dimensional, nonlinear and coupling complex problem. In order to solve the OLHS problem effectively, an improved decomposition–coordination and discrete differential dynamic programming (IDC–DDDP) method is proposed in this paper. A strategy that initial solution is generated randomly is adopted to reduce generation time. Meanwhile, a relative coefficient based on maximum output capacity is proposed for more power generation. Moreover, an adaptive bias corridor technology is proposed to enhance convergence speed. The proposed method is applied to long-term optimal dispatches of large-scale hydropower system (LHS) in the Yangtze River basin. Compared to other methods, IDC–DDDP has competitive performances in not only total power generation but also convergence speed, which provides a new method to solve the OLHS problem. |
| Author | Zhou, Jianzhong Chen, Lu Ouyang, Shuo Li, Chunlong Ding, Xiaoling |
| Author_xml | – sequence: 1 givenname: Chunlong surname: Li fullname: Li, Chunlong – sequence: 2 givenname: Jianzhong surname: Zhou fullname: Zhou, Jianzhong email: jz.zhou@mail.hust.edu.cn – sequence: 3 givenname: Shuo surname: Ouyang fullname: Ouyang, Shuo – sequence: 4 givenname: Xiaoling surname: Ding fullname: Ding, Xiaoling – sequence: 5 givenname: Lu surname: Chen fullname: Chen, Lu |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28525188$$DView record in Pascal Francis |
| BookMark | eNqFkcGKFDEQhoOs4OzqK0hfBC89JulOOgEPyqLrwoIXPYd0ujJm6CRtkl0ZT158At9wn8S0s3vxMlCQBL7_r1T95-gsxAAIvSR4SzDhb_ZbCCYGr8OWYtJvcS3OnqANEYNsKaXDGdpgInkrJO6fofOc9xjjjmG-Qb-v_ZLiHUzNBCb6JWZXXAz3v_6YGNPkgl6fjQ4VcNkkKFAv1kKCUJyem-kQtHemqS67pL13YdfYmJq4FOfdz6M82mbWaQdtNnqG5tthSnGJPyA1-ZAL-OfoqdVzhhcP5wX6-vHDl8tP7c3nq-vL9zet6QUtrSaCSdGNHKS1VEvdc1pHgtECYbqXHRGT7pnoNJCOdmzkZphk348CG9qTsbtAr4--9bffbyEX5etQMM86QLzNihLCZUelICdRwodBEiooPo0yPhAsO7Girx5Qva7CJh2My2pJzut0UFQwyogQlXt75EyKOSewyrjyb5claTcrgtWavdqrx-zVmr3CtTircv6f_LHDSeG7oxBqCncOksrGVRIml8AUNUV3yuIvWazTSQ |
| CODEN | ECMADL |
| CitedBy_id | crossref_primary_10_1016_j_jclepro_2022_133271 crossref_primary_10_1016_j_jhydrol_2019_124425 crossref_primary_10_1016_j_jhydrol_2020_125013 crossref_primary_10_3390_en13030634 crossref_primary_10_1061__ASCE_WR_1943_5452_0001146 crossref_primary_10_1016_j_jclepro_2017_09_257 crossref_primary_10_1155_2018_8767158 crossref_primary_10_1016_j_jclepro_2019_119035 crossref_primary_10_1016_j_enconman_2022_115541 crossref_primary_10_1049_rpg2_12098 crossref_primary_10_1016_j_asoc_2019_105715 crossref_primary_10_3390_w15040716 crossref_primary_10_1016_j_asoc_2021_107315 crossref_primary_10_1016_j_ejor_2017_02_015 crossref_primary_10_1061__ASCE_WR_1943_5452_0000882 crossref_primary_10_1007_s12204_021_2270_z crossref_primary_10_1016_j_apenergy_2019_03_064 crossref_primary_10_1177_1077546316655912 crossref_primary_10_3390_su17031018 crossref_primary_10_1155_2019_1534598 crossref_primary_10_1016_j_enconman_2023_117827 crossref_primary_10_2166_nh_2023_181 crossref_primary_10_1016_j_seta_2021_101832 crossref_primary_10_1016_j_energy_2019_03_117 crossref_primary_10_1016_j_energy_2018_11_083 crossref_primary_10_1007_s11269_023_03658_y crossref_primary_10_1155_2016_2518734 crossref_primary_10_3390_en16176368 crossref_primary_10_3390_w15091732 crossref_primary_10_1016_j_scitotenv_2019_04_430 crossref_primary_10_4018_IJSI_2019010102 crossref_primary_10_1016_j_enconman_2015_08_057 crossref_primary_10_1016_j_jhydrol_2023_129803 crossref_primary_10_1016_j_energy_2017_06_062 crossref_primary_10_1016_j_energy_2024_134172 crossref_primary_10_1016_j_enconman_2014_10_048 crossref_primary_10_1088_1748_9326_abf60c crossref_primary_10_1080_15567036_2018_1555626 crossref_primary_10_2166_ws_2017_070 crossref_primary_10_1016_j_energy_2019_116827 crossref_primary_10_1061__ASCE_WR_1943_5452_0001288 crossref_primary_10_1007_s11269_025_04116_7 crossref_primary_10_1016_j_enconman_2014_11_024 crossref_primary_10_1007_s11269_024_03863_3 crossref_primary_10_1007_s11269_016_1407_6 crossref_primary_10_1007_s11269_015_0934_x crossref_primary_10_1016_j_enconman_2015_02_055 crossref_primary_10_1016_j_enconman_2015_08_009 crossref_primary_10_1016_j_energy_2017_03_069 crossref_primary_10_1061__ASCE_WR_1943_5452_0000622 crossref_primary_10_1007_s11269_018_2083_5 crossref_primary_10_1016_j_asoc_2025_112917 crossref_primary_10_1051_matecconf_201824601058 crossref_primary_10_1088_1757_899X_794_1_012002 crossref_primary_10_1016_j_energy_2021_119960 crossref_primary_10_1016_j_renene_2023_119353 crossref_primary_10_1016_j_energy_2023_129834 crossref_primary_10_1016_j_jclepro_2018_04_134 crossref_primary_10_1155_2022_8463358 crossref_primary_10_3390_w11040843 crossref_primary_10_1061__ASCE_WR_1943_5452_0001194 crossref_primary_10_1016_j_renene_2019_01_059 crossref_primary_10_1016_j_renene_2023_04_069 crossref_primary_10_1051_e3sconf_201912405056 crossref_primary_10_1016_j_jhydrol_2017_09_029 crossref_primary_10_3390_en18184977 crossref_primary_10_3390_e17096129 crossref_primary_10_1016_j_jclepro_2024_141784 crossref_primary_10_1016_j_jclepro_2021_128047 crossref_primary_10_1016_j_jhydrol_2023_130019 crossref_primary_10_1016_j_energy_2022_123784 crossref_primary_10_3390_en15072466 crossref_primary_10_1007_s42524_023_0271_3 crossref_primary_10_2166_ws_2022_424 crossref_primary_10_1016_j_jhydrol_2021_126357 crossref_primary_10_1051_matecconf_201824601104 crossref_primary_10_1007_s11269_020_02748_5 crossref_primary_10_1016_j_enconman_2019_01_028 crossref_primary_10_1016_j_enconman_2017_02_060 crossref_primary_10_3390_w9040293 |
| Cites_doi | 10.1061/(ASCE)WR.1943-5452.0000149 10.1016/j.ijepes.2010.08.004 10.1029/WR021i012p01797 10.1007/s11269-009-9419-0 10.1016/j.enconman.2009.10.024 10.1109/59.982207 10.1016/j.enconman.2010.06.038 10.1016/j.jhydrol.2009.07.026 10.1061/(ASCE)WR.1943-5452.0000142 10.1016/j.proeng.2012.01.707 10.1016/j.enbuild.2009.10.027 10.1061/(ASCE)0733-9496(2003)129:3(178) 10.1007/BF01580431 10.1111/j.1752-1688.2011.00628.x 10.1016/j.enconman.2005.01.002 10.1007/s11269-006-9092-5 10.1061/(ASCE)0733-9496(2001)127:6(363) 10.1007/s11269-010-9755-0 10.1016/j.cirp.2010.03.031 10.1007/s10333-005-0070-y 10.1016/j.enconman.2013.07.047 10.1016/j.apenergy.2011.12.086 10.1061/(ASCE)WR.1943-5452.0000174 10.1061/(ASCE)0733-9496(1996)122:4(287) 10.1016/j.enconman.2009.10.036 10.1016/j.enconman.2008.08.022 10.1016/j.enconman.2010.06.029 10.1109/59.871743 10.1061/(ASCE)0733-9496(2003)129:5(388) 10.2166/wst.2013.528 10.1061/(ASCE)0733-9496(2004)130:3(198) 10.1029/WR007i002p00273 10.1016/j.ijepes.2013.02.035 10.1029/WR011i005p00621 10.1016/j.enconman.2009.07.020 10.1016/j.energy.2009.12.025 10.1029/WR018i004p00673 |
| ContentType | Journal Article |
| Copyright | 2014 Elsevier Ltd 2015 INIST-CNRS |
| Copyright_xml | – notice: 2014 Elsevier Ltd – notice: 2015 INIST-CNRS |
| DBID | AAYXX CITATION IQODW 7TB 8FD FR3 7S9 L.6 |
| DOI | 10.1016/j.enconman.2014.04.065 |
| DatabaseName | CrossRef Pascal-Francis Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef Technology Research Database Mechanical & Transportation Engineering Abstracts Engineering Research Database AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | Technology Research Database Technology Research Database AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Applied Sciences |
| EISSN | 1879-2227 |
| EndPage | 373 |
| ExternalDocumentID | 28525188 10_1016_j_enconman_2014_04_065 S0196890414003690 |
| GeographicLocations | Yangtze River |
| GeographicLocations_xml | – name: Yangtze River |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 6TJ 7-5 71M 8P~ 8WZ 9JN A6W AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARJD AAXUO ABFNM ABFRF ABJNI ABMAC ABXDB ABYKQ ACBEA ACDAQ ACGFO ACGFS ACIWK ACNCT ACNNM ACRLP ADBBV ADEZE ADMUD AEBSH AEFWE AEKER AENEX AFFNX AFKWA AFRAH AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ 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 G8K GBLVA HVGLF HZ~ H~9 IHE J1W JARJE KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SAC SDF SDG SDP SES SEW SPC SPCBC SSR SST SSZ T5K TN5 WUQ XPP ZMT ~02 ~G- 9DU AAHBH AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD BNPGV IQODW SSH 7TB 8FD FR3 7S9 L.6 |
| ID | FETCH-LOGICAL-c482t-a185983b6e9ff2a9a462904ebfe15a49318da4583ae13235b6c7d944b80c241b3 |
| ISICitedReferencesCount | 84 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000338601100038&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0196-8904 |
| IngestDate | Sat Sep 27 22:14:56 EDT 2025 Thu Oct 02 11:32:47 EDT 2025 Sun Sep 28 00:14:09 EDT 2025 Wed Apr 02 07:20:27 EDT 2025 Sat Nov 29 02:31:51 EST 2025 Tue Nov 18 20:56:34 EST 2025 Fri Feb 23 02:20:58 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Decomposition–coordination Discrete differential dynamic programming Long-term optimization The Yangtze River basin Improvement strategies Large-scale hydropower system Hydroelectric power plant Hydraulic power Improvement Electric power production Dynamic programming Decomposition-coordination Optimization |
| Language | English |
| License | CC BY 4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c482t-a185983b6e9ff2a9a462904ebfe15a49318da4583ae13235b6c7d944b80c241b3 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
| PQID | 1567109380 |
| PQPubID | 23500 |
| PageCount | 11 |
| ParticipantIDs | proquest_miscellaneous_2116932981 proquest_miscellaneous_1677912820 proquest_miscellaneous_1567109380 pascalfrancis_primary_28525188 crossref_citationtrail_10_1016_j_enconman_2014_04_065 crossref_primary_10_1016_j_enconman_2014_04_065 elsevier_sciencedirect_doi_10_1016_j_enconman_2014_04_065 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-08-01 |
| PublicationDateYYYYMMDD | 2014-08-01 |
| PublicationDate_xml | – month: 08 year: 2014 text: 2014-08-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Kidlington |
| PublicationPlace_xml | – name: Kidlington |
| PublicationTitle | Energy conversion and management |
| PublicationYear | 2014 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Lu, Sun, Lu (b0140) 2010; 51 Jalali, Afshar, Marino (b0115) 2007; 21 Laud, Ferreira (b0150) 1996; 122 Qin, Zhou, Lu, Wang, Zhang (b0130) 2010; 51 Cinar, Kayakutlu, Daim (b0105) 2010; 35 Wang, Zhou, Qin, Lu (b0145) 2010; 51 Kaihara, Fujii, Tsujibe, Nonaka (b0170) 2010; 59 Howson, Sancho (b0080) 1975; 8 Yi, Labadie, Stitt (b0100) 2003; 129 Heidari, Chow, Kokotovic (b0185) 1971; 7 Mandal, Chakraborty (b0125) 2009; 50 Marano, Rizzo, Tiano (b0075) 2012 Cheng, Shen, Wu (b0090) 2012; 138 Cheng, Liao, Tang, Zhao (b0020) 2009; 50 Yoo (b0055) 2009; 376 Wang, Zhang (b0155) 2012; 138 Li, Zhang, Ji, Wang, Lund (b0205) 2013; 68 Yao, Chen (b0175) 2010; 42 Janejira, Ichiro, Masayuki, Yoshinobu (b0195) 2005; 3 Hincal, Altan-Sakarya, Ger (b0110) 2011; 25 Zambon, Barros, Lopes (b0030) 2012; 138 Chow, Maidment, Tauxe (b0190) 1975; 11 Wang, Yuan, Zhang (b0015) 2004; 130 Barros, Tsai, Yang (b0010) 2003; 129 Deep, Singh, Kansal, Mohan (b0120) 2009; 23 Arce, Ohishi, Soares (b0070) 2002; 17 Shawwash, Siu, Russell (b0050) 2000; 15 Cheng, Shen, Wu, Chau (b0085) 2012; 48 Pérez-Díaz, Wilhelmi, Arévalo (b0035) 2010; 51 Zheng, Yang, Hao (b0160) 2012; 28 Jiang, Etorre (b0135) 2005; 46 Cheng, Chau, Wu, Shen (b0210) 2011 Yeh (b0005) 1985; 21 Fawal, Georges, Bornard (b0165) 1998 Yan, Wen, Li, Chung, Wong (b0180) 2011; 33 Cai, Mckinney, Lasdon (b0060) 2002; 127 Zhuge YS, Xie PP. The Application of DDDP method to optimal operation for cascade reservoirs based on state transformation matrix. In: International conference on computational and information sciences; 2010. Zhang, Zhou, Zhang, Liao, Wang (b0025) 2012 Afshar (b0045) 2013; 51 Mo, Lu, Wang, Zhou (b0040) 2013; 76 Yakowitz (b0065) 1982; 18 Giles, Wunderlich (b0095) 1981; 107 Howson (10.1016/j.enconman.2014.04.065_b0080) 1975; 8 Wang (10.1016/j.enconman.2014.04.065_b0145) 2010; 51 Jalali (10.1016/j.enconman.2014.04.065_b0115) 2007; 21 Wang (10.1016/j.enconman.2014.04.065_b0015) 2004; 130 Cai (10.1016/j.enconman.2014.04.065_b0060) 2002; 127 Fawal (10.1016/j.enconman.2014.04.065_b0165) 1998 Kaihara (10.1016/j.enconman.2014.04.065_b0170) 2010; 59 Zambon (10.1016/j.enconman.2014.04.065_b0030) 2012; 138 Deep (10.1016/j.enconman.2014.04.065_b0120) 2009; 23 Yakowitz (10.1016/j.enconman.2014.04.065_b0065) 1982; 18 Pérez-Díaz (10.1016/j.enconman.2014.04.065_b0035) 2010; 51 Arce (10.1016/j.enconman.2014.04.065_b0070) 2002; 17 Cheng (10.1016/j.enconman.2014.04.065_b0085) 2012; 48 Cheng (10.1016/j.enconman.2014.04.065_b0090) 2012; 138 Hincal (10.1016/j.enconman.2014.04.065_b0110) 2011; 25 Zhang (10.1016/j.enconman.2014.04.065_b0025) 2012 Zheng (10.1016/j.enconman.2014.04.065_b0160) 2012; 28 Li (10.1016/j.enconman.2014.04.065_b0205) 2013; 68 Yi (10.1016/j.enconman.2014.04.065_b0100) 2003; 129 Cheng (10.1016/j.enconman.2014.04.065_b0210) 2011 Yeh (10.1016/j.enconman.2014.04.065_b0005) 1985; 21 Yoo (10.1016/j.enconman.2014.04.065_b0055) 2009; 376 10.1016/j.enconman.2014.04.065_b0200 Janejira (10.1016/j.enconman.2014.04.065_b0195) 2005; 3 Marano (10.1016/j.enconman.2014.04.065_b0075) 2012 Cheng (10.1016/j.enconman.2014.04.065_b0020) 2009; 50 Heidari (10.1016/j.enconman.2014.04.065_b0185) 1971; 7 Afshar (10.1016/j.enconman.2014.04.065_b0045) 2013; 51 Yan (10.1016/j.enconman.2014.04.065_b0180) 2011; 33 Jiang (10.1016/j.enconman.2014.04.065_b0135) 2005; 46 Cinar (10.1016/j.enconman.2014.04.065_b0105) 2010; 35 Lu (10.1016/j.enconman.2014.04.065_b0140) 2010; 51 Giles (10.1016/j.enconman.2014.04.065_b0095) 1981; 107 Barros (10.1016/j.enconman.2014.04.065_b0010) 2003; 129 Laud (10.1016/j.enconman.2014.04.065_b0150) 1996; 122 Yao (10.1016/j.enconman.2014.04.065_b0175) 2010; 42 Mandal (10.1016/j.enconman.2014.04.065_b0125) 2009; 50 Chow (10.1016/j.enconman.2014.04.065_b0190) 1975; 11 Shawwash (10.1016/j.enconman.2014.04.065_b0050) 2000; 15 Mo (10.1016/j.enconman.2014.04.065_b0040) 2013; 76 Qin (10.1016/j.enconman.2014.04.065_b0130) 2010; 51 Wang (10.1016/j.enconman.2014.04.065_b0155) 2012; 138 |
| References_xml | – volume: 129 start-page: 178 year: 2003 end-page: 188 ident: b0010 article-title: Optimization of large-scale hydropower system operations publication-title: J Water Resour Plann Manage – volume: 68 start-page: 2458 year: 2013 end-page: 2467 ident: b0205 article-title: Large-scale hydropower system optimization using dynamic programming and object-oriented programming: the case of the Northeast China Power Grid publication-title: Water Sci Technol – volume: 42 start-page: 570 year: 2010 end-page: 583 ident: b0175 article-title: Global optimization of a central air-conditioning system using decomposition–coordination method publication-title: Energy Build – volume: 17 start-page: 154 year: 2002 end-page: 158 ident: b0070 article-title: Optimal dispatch of generating units of the itaipu hydroelectric plant publication-title: IEEE Trans Power Syst – volume: 130 start-page: 198 year: 2004 end-page: 205 ident: b0015 article-title: Short-term scheduling of large-scale hydropower systems for energy maximization publication-title: J Water Resour Plann Manage – volume: 51 start-page: 561 year: 2010 end-page: 571 ident: b0140 article-title: An improved quantum-behaved particle swarm optimization method for short-term combined economic emission hydrothermal scheduling publication-title: Energy Convers Manage – reference: Zhuge YS, Xie PP. The Application of DDDP method to optimal operation for cascade reservoirs based on state transformation matrix. In: International conference on computational and information sciences; 2010. – year: 2012 ident: b0025 article-title: Optimal operation of large-scale cascaded hydropower system in upper reaches of Yangtze river in China publication-title: J Water Resour Plann Manage – volume: 8 start-page: 104 year: 1975 end-page: 116 ident: b0080 article-title: New algorithm for the solution of multi-state dynamic programming problems publication-title: Math Program – start-page: 20 year: 2011 end-page: 29 ident: b0210 article-title: Fast-growing China’s hydropower systems and operation challenges publication-title: World Environ Water Resour Congr – volume: 51 start-page: 788 year: 2010 end-page: 794 ident: b0130 article-title: Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling publication-title: Energy Convers Manage – year: 2012 ident: b0075 article-title: Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage publication-title: Appl Energy – volume: 59 start-page: 453 year: 2010 end-page: 456 ident: b0170 article-title: Proactive maintenance scheduling in a reentrant flow shop using Lagrangian decomposition coordination method publication-title: CIRP Ann – Manuf Technol – volume: 21 start-page: 1797 year: 1985 end-page: 1818 ident: b0005 article-title: Reservoir management and operations models: a state-of-the-art review publication-title: Water Resour Res – volume: 25 start-page: 1465 year: 2011 end-page: 1487 ident: b0110 article-title: Optimization of multi-reservoir systems by genetic algorithm publication-title: Water Resour Manage – volume: 3 start-page: 29 year: 2005 end-page: 38 ident: b0195 article-title: Optimization of a multiple reservoir system operation using a combination of genetic algorithm and discrete differential dynamic programming: a case study in Mae Klong system, Thailan publication-title: Paddy Water Environ – volume: 127 start-page: 363 year: 2002 end-page: 368 ident: b0060 article-title: Piece-by-piece approach to solving large nonlinear water resources management models publication-title: J Water Resour Plann Manage – volume: 138 start-page: 135 year: 2012 end-page: 143 ident: b0030 article-title: Optimization of large-scale hydrothermal system operation publication-title: J Water Resour Plann Manage – volume: 15 start-page: 1125 year: 2000 end-page: 1131 ident: b0050 article-title: The BC hydro short term hydro scheduling optimization model publication-title: IEEE Trans Power Syst – volume: 7 start-page: 273 year: 1971 end-page: 282 ident: b0185 article-title: Discrete differential dynamic programming approach to water resources systems optimization publication-title: Water Resour Res – volume: 107 start-page: 495 year: 1981 end-page: 511 ident: b0095 article-title: Weekly multipurpose planning model for TVA reservoir system publication-title: J Water Resour Plann Manage – volume: 46 start-page: 2689 year: 2005 end-page: 2696 ident: b0135 article-title: A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment publication-title: Energy Convers Manage – volume: 18 start-page: 673 year: 1982 end-page: 696 ident: b0065 article-title: Dynamic programming applications in water resources publication-title: Water Resour Res – volume: 28 start-page: 210 year: 2012 end-page: 213 ident: b0160 article-title: Multi-objective decomposition–coordination for mix-connected hydropower system load distribution publication-title: Proc Eng – volume: 76 start-page: 260 year: 2013 end-page: 273 ident: b0040 article-title: Short-term hydro generation scheduling of three Gorges-Gezhouba cascaded hydropower plants using hybrid MACS-ADE approach publication-title: Energy Convers Manage – volume: 376 start-page: 182 year: 2009 end-page: 187 ident: b0055 article-title: Maximization of hydropower generation through the application of linear programming model publication-title: J Hydrol – volume: 138 start-page: 257 year: 2012 end-page: 267 ident: b0090 article-title: Short-term scheduling for large-scale cascaded hydropower systems with multi-vibration zones of high head publication-title: J Water Resour Plann Manage – volume: 129 start-page: 388 year: 2003 end-page: 398 ident: b0100 article-title: Dynamic optimal unit commitment and loading in hydropower systems publication-title: J Water Resour Plann Manage – volume: 122 start-page: 287 year: 1996 end-page: 295 ident: b0150 article-title: Operating rule optimization for Missouri river reservoir system publication-title: J Water Resour Plann Manage – volume: 51 start-page: 2955 year: 2010 end-page: 2966 ident: b0035 article-title: Optimal short-term operation schedule of a hydropower plant in a competitive electricity market publication-title: Energy Convers Manage – volume: 48 start-page: 464 year: 2012 end-page: 479 ident: b0085 article-title: Short-term hydro scheduling with discrepant objectives using multi-step progressive optimality algorithm publication-title: J Am Water Resour Assoc – volume: 138 start-page: 3 year: 2012 end-page: 12 ident: b0155 article-title: Short-term optimal operation of hydropower reservoirs with unit commitment and navigation publication-title: J Water Resour Plann Manage – volume: 51 start-page: 2893 year: 2010 end-page: 2900 ident: b0145 article-title: Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects publication-title: Energy Convers Manage – volume: 33 start-page: 55 year: 2011 end-page: 60 ident: b0180 article-title: Decomposition–coordination interior point method and its application to multi-area optimal reactive power flow publication-title: Int J Electr Power Energy Syst – volume: 50 start-page: 3007 year: 2009 end-page: 3014 ident: b0020 article-title: Comparison of particle swarm optimization and dynamic programming for large scale hydro unit load dispatch publication-title: Energy Convers Manage – volume: 50 start-page: 97 year: 2009 end-page: 104 ident: b0125 article-title: Short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs using differential evolution publication-title: Energy Convers Manage – volume: 35 start-page: 1724 year: 2010 end-page: 1729 ident: b0105 article-title: Development of future energy scenarios with intelligent algorithms: case of hydro in Turkey publication-title: Energy – volume: 21 start-page: 1429 year: 2007 end-page: 1447 ident: b0115 article-title: Multi-colony ant algorithm for continuous multi-reservoir operation optimization problem publication-title: Water Resour Manage – volume: 51 start-page: 71 year: 2013 end-page: 81 ident: b0045 article-title: Extension of the constrained particle swarm optimization algorithm to optimal operation of multi-reservoirs system publication-title: Int J Electric Power Energy Syst – volume: 11 start-page: 621 year: 1975 end-page: 628 ident: b0190 article-title: Computer time and memory requirements for DP and DDDP in water resources systems analysis publication-title: Water Resour Res – volume: 23 start-page: 2987 year: 2009 end-page: 3003 ident: b0120 article-title: Management of multi-purpose multi-reservoir using fuzzy interactive method publication-title: Water Resour Manage – start-page: 3874 year: 1998 end-page: 3879 ident: b0165 article-title: Optimal control of complex irrigation systems via decomposition–coordination and the use of augmented Lagrangian publication-title: IEEE – volume: 138 start-page: 135 issue: 2 year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0030 article-title: Optimization of large-scale hydrothermal system operation publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)WR.1943-5452.0000149 – volume: 33 start-page: 55 year: 2011 ident: 10.1016/j.enconman.2014.04.065_b0180 article-title: Decomposition–coordination interior point method and its application to multi-area optimal reactive power flow publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2010.08.004 – volume: 21 start-page: 1797 issue: 12 year: 1985 ident: 10.1016/j.enconman.2014.04.065_b0005 article-title: Reservoir management and operations models: a state-of-the-art review publication-title: Water Resour Res doi: 10.1029/WR021i012p01797 – volume: 23 start-page: 2987 year: 2009 ident: 10.1016/j.enconman.2014.04.065_b0120 article-title: Management of multi-purpose multi-reservoir using fuzzy interactive method publication-title: Water Resour Manage doi: 10.1007/s11269-009-9419-0 – volume: 51 start-page: 561 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0140 article-title: An improved quantum-behaved particle swarm optimization method for short-term combined economic emission hydrothermal scheduling publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2009.10.024 – start-page: 20 year: 2011 ident: 10.1016/j.enconman.2014.04.065_b0210 article-title: Fast-growing China’s hydropower systems and operation challenges publication-title: World Environ Water Resour Congr – volume: 17 start-page: 154 issue: 1 year: 2002 ident: 10.1016/j.enconman.2014.04.065_b0070 article-title: Optimal dispatch of generating units of the itaipu hydroelectric plant publication-title: IEEE Trans Power Syst doi: 10.1109/59.982207 – volume: 51 start-page: 2955 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0035 article-title: Optimal short-term operation schedule of a hydropower plant in a competitive electricity market publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2010.06.038 – volume: 376 start-page: 182 year: 2009 ident: 10.1016/j.enconman.2014.04.065_b0055 article-title: Maximization of hydropower generation through the application of linear programming model publication-title: J Hydrol doi: 10.1016/j.jhydrol.2009.07.026 – volume: 138 start-page: 3 issue: 1 year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0155 article-title: Short-term optimal operation of hydropower reservoirs with unit commitment and navigation publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)WR.1943-5452.0000142 – ident: 10.1016/j.enconman.2014.04.065_b0200 – volume: 28 start-page: 210 year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0160 article-title: Multi-objective decomposition–coordination for mix-connected hydropower system load distribution publication-title: Proc Eng doi: 10.1016/j.proeng.2012.01.707 – volume: 42 start-page: 570 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0175 article-title: Global optimization of a central air-conditioning system using decomposition–coordination method publication-title: Energy Build doi: 10.1016/j.enbuild.2009.10.027 – volume: 129 start-page: 178 issue: 3 year: 2003 ident: 10.1016/j.enconman.2014.04.065_b0010 article-title: Optimization of large-scale hydropower system operations publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2003)129:3(178) – year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0025 article-title: Optimal operation of large-scale cascaded hydropower system in upper reaches of Yangtze river in China publication-title: J Water Resour Plann Manage – volume: 8 start-page: 104 issue: 1 year: 1975 ident: 10.1016/j.enconman.2014.04.065_b0080 article-title: New algorithm for the solution of multi-state dynamic programming problems publication-title: Math Program doi: 10.1007/BF01580431 – volume: 48 start-page: 464 issue: 3 year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0085 article-title: Short-term hydro scheduling with discrepant objectives using multi-step progressive optimality algorithm publication-title: J Am Water Resour Assoc doi: 10.1111/j.1752-1688.2011.00628.x – volume: 46 start-page: 2689 year: 2005 ident: 10.1016/j.enconman.2014.04.065_b0135 article-title: A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2005.01.002 – volume: 21 start-page: 1429 year: 2007 ident: 10.1016/j.enconman.2014.04.065_b0115 article-title: Multi-colony ant algorithm for continuous multi-reservoir operation optimization problem publication-title: Water Resour Manage doi: 10.1007/s11269-006-9092-5 – volume: 127 start-page: 363 issue: 6 year: 2002 ident: 10.1016/j.enconman.2014.04.065_b0060 article-title: Piece-by-piece approach to solving large nonlinear water resources management models publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2001)127:6(363) – volume: 25 start-page: 1465 year: 2011 ident: 10.1016/j.enconman.2014.04.065_b0110 article-title: Optimization of multi-reservoir systems by genetic algorithm publication-title: Water Resour Manage doi: 10.1007/s11269-010-9755-0 – volume: 59 start-page: 453 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0170 article-title: Proactive maintenance scheduling in a reentrant flow shop using Lagrangian decomposition coordination method publication-title: CIRP Ann – Manuf Technol doi: 10.1016/j.cirp.2010.03.031 – volume: 3 start-page: 29 year: 2005 ident: 10.1016/j.enconman.2014.04.065_b0195 article-title: Optimization of a multiple reservoir system operation using a combination of genetic algorithm and discrete differential dynamic programming: a case study in Mae Klong system, Thailan publication-title: Paddy Water Environ doi: 10.1007/s10333-005-0070-y – volume: 76 start-page: 260 year: 2013 ident: 10.1016/j.enconman.2014.04.065_b0040 article-title: Short-term hydro generation scheduling of three Gorges-Gezhouba cascaded hydropower plants using hybrid MACS-ADE approach publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2013.07.047 – year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0075 article-title: Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage publication-title: Appl Energy doi: 10.1016/j.apenergy.2011.12.086 – volume: 138 start-page: 257 issue: 3 year: 2012 ident: 10.1016/j.enconman.2014.04.065_b0090 article-title: Short-term scheduling for large-scale cascaded hydropower systems with multi-vibration zones of high head publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)WR.1943-5452.0000174 – volume: 107 start-page: 495 issue: 2 year: 1981 ident: 10.1016/j.enconman.2014.04.065_b0095 article-title: Weekly multipurpose planning model for TVA reservoir system publication-title: J Water Resour Plann Manage – volume: 122 start-page: 287 issue: 4 year: 1996 ident: 10.1016/j.enconman.2014.04.065_b0150 article-title: Operating rule optimization for Missouri river reservoir system publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(1996)122:4(287) – volume: 51 start-page: 788 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0130 article-title: Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2009.10.036 – start-page: 3874 year: 1998 ident: 10.1016/j.enconman.2014.04.065_b0165 article-title: Optimal control of complex irrigation systems via decomposition–coordination and the use of augmented Lagrangian publication-title: IEEE – volume: 50 start-page: 97 year: 2009 ident: 10.1016/j.enconman.2014.04.065_b0125 article-title: Short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs using differential evolution publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2008.08.022 – volume: 51 start-page: 2893 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0145 article-title: Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2010.06.029 – volume: 15 start-page: 1125 issue: 3 year: 2000 ident: 10.1016/j.enconman.2014.04.065_b0050 article-title: The BC hydro short term hydro scheduling optimization model publication-title: IEEE Trans Power Syst doi: 10.1109/59.871743 – volume: 129 start-page: 388 issue: 5 year: 2003 ident: 10.1016/j.enconman.2014.04.065_b0100 article-title: Dynamic optimal unit commitment and loading in hydropower systems publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2003)129:5(388) – volume: 68 start-page: 2458 issue: 11 year: 2013 ident: 10.1016/j.enconman.2014.04.065_b0205 article-title: Large-scale hydropower system optimization using dynamic programming and object-oriented programming: the case of the Northeast China Power Grid publication-title: Water Sci Technol doi: 10.2166/wst.2013.528 – volume: 130 start-page: 198 issue: 3 year: 2004 ident: 10.1016/j.enconman.2014.04.065_b0015 article-title: Short-term scheduling of large-scale hydropower systems for energy maximization publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2004)130:3(198) – volume: 7 start-page: 273 issue: 2 year: 1971 ident: 10.1016/j.enconman.2014.04.065_b0185 article-title: Discrete differential dynamic programming approach to water resources systems optimization publication-title: Water Resour Res doi: 10.1029/WR007i002p00273 – volume: 51 start-page: 71 year: 2013 ident: 10.1016/j.enconman.2014.04.065_b0045 article-title: Extension of the constrained particle swarm optimization algorithm to optimal operation of multi-reservoirs system publication-title: Int J Electric Power Energy Syst doi: 10.1016/j.ijepes.2013.02.035 – volume: 11 start-page: 621 issue: 5 year: 1975 ident: 10.1016/j.enconman.2014.04.065_b0190 article-title: Computer time and memory requirements for DP and DDDP in water resources systems analysis publication-title: Water Resour Res doi: 10.1029/WR011i005p00621 – volume: 50 start-page: 3007 year: 2009 ident: 10.1016/j.enconman.2014.04.065_b0020 article-title: Comparison of particle swarm optimization and dynamic programming for large scale hydro unit load dispatch publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2009.07.020 – volume: 35 start-page: 1724 year: 2010 ident: 10.1016/j.enconman.2014.04.065_b0105 article-title: Development of future energy scenarios with intelligent algorithms: case of hydro in Turkey publication-title: Energy doi: 10.1016/j.energy.2009.12.025 – volume: 18 start-page: 673 issue: 4 year: 1982 ident: 10.1016/j.enconman.2014.04.065_b0065 article-title: Dynamic programming applications in water resources publication-title: Water Resour Res doi: 10.1029/WR018i004p00673 |
| SSID | ssj0003506 |
| Score | 2.417849 |
| Snippet | •Optimization of large-scale hydropower system in the Yangtze River basin.•Improved decomposition–coordination and discrete differential dynamic... With the construction of major hydro plants, more and more large-scale hydropower systems are taking shape gradually, which brings up a challenge to optimize... |
| SourceID | proquest pascalfrancis crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 363 |
| SubjectTerms | Applied sciences Decomposition Decomposition–coordination Discrete differential dynamic programming Dynamic programming Dynamical systems Energy Energy of waters: ocean thermal energy, wave and tidal energy, etc Energy. Thermal use of fuels Exact sciences and technology Hydroelectric power Hydroelectric power plants Improvement strategies Installations for energy generation and conversion: thermal and electrical energy Large-scale hydropower system Long-term optimization Natural energy Nonlinear dynamics Optimization Power generation Power plants The Yangtze River basin water power watersheds Yangtze River |
| Title | Improved decomposition–coordination and discrete differential dynamic programming for optimization of large-scale hydropower system |
| URI | https://dx.doi.org/10.1016/j.enconman.2014.04.065 https://www.proquest.com/docview/1567109380 https://www.proquest.com/docview/1677912820 https://www.proquest.com/docview/2116932981 |
| Volume | 84 |
| WOSCitedRecordID | wos000338601100038&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: 1879-2227 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0003506 issn: 0196-8904 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3dbtMwFLZKxwUIIf4mys9kJO5QoHGc2L6c0BCgaXAxUO8iJ7Fppzap1mZsXHHDE_BGPApPwnEceymFjl0gVVGVJk6d88Xny_HncxB6qnWRgB_RQSxEHtBEqkBEPAmEzrhWBddxk8D04z47OOCjkXjf6_1wa2FOpqws-empmP9XU8M-MLZZOnsJc_tGYQd8B6PDFswO238yvA0TAI8slNGLt6IsJ2qI8gpeNyc2BtjMHJh1ucdAnX2tlKUJohe2Ur3Tb82c4LKCIWbWrt00RHNqlOTBAiytno3PClNz4bNPEL0S9reLDBuVexOiay4-W1Pf7E-sCqAup1XrVZu4dlU3gAM0fxl3fnhXn7mI97iuPC1vK7WMJtIUJfrUjW2E1CvrfLhTJAEXtkCxG6857Qy4UTs8Wt8d2bIoa27BRiiOnpvcoCX0zEj6aJPi1haqWM3D_Zt_9KpFJ4g7Sl07qWknHcInia-gLcJiwftoa_fN3uit5wNR3FR49X3prFP_8z_6G0W6MZfGnNpWXFkjDw0jOryFbravMnjXQvA26qnyDrreSXB5F31zYMQrYPz59XsXhhiQgB0McReGuIUh7sAQAwxxF4a40rgDQ3wOQ2xheA99eLV3-PJ10Bb-CHLKyTKQQCIFj7JECa2JFJImBG6cyrQKY0kF-KFCmgl_qcKIRHGW5KwQlGZ8mAMjzaJt1C-rUt1HmOVMFQUdMqYySgmVBcslUyQPgRyGSg9Q7O51mrdZ8U1xlmm62doD9MKfN7d5YS48QzhTpi27taw1BZReeO7Oiu39JQmPiUmpOEBPHBhS8A9m0k-WqqoXaRgnRm4d8eGGYxLGBBBVsuEYEpq0TUTw8MGlu_4QXTt_uh-h_vK4Vo_R1fxkOVkc77TPyy8LpgWE |
| 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=Improved+decomposition%E2%80%93coordination+and+discrete+differential+dynamic+programming+for+optimization+of+large-scale+hydropower+system&rft.jtitle=Energy+conversion+and+management&rft.au=Li%2C+Chunlong&rft.au=Zhou%2C+Jianzhong&rft.au=Ouyang%2C+Shuo&rft.au=Ding%2C+Xiaoling&rft.date=2014-08-01&rft.issn=0196-8904&rft.volume=84&rft.spage=363&rft.epage=373&rft_id=info:doi/10.1016%2Fj.enconman.2014.04.065&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_enconman_2014_04_065 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0196-8904&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0196-8904&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0196-8904&client=summon |