Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation

This paper proposes a new approach based on augmented Lagrangian relaxation for short term generation scheduling problems with transmission and environmental constraints. In this method, the power system constraints, e.g. load demand, spinning reserve, transmission capacity and environmental constra...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on power systems Vol. 10; no. 3; pp. 1294 - 1301
Main Authors:	Wang, S.J., Shahidehpour, S.M., Kirschen, D.S., Mokhtari, S., Irisarri, G.D.
Format:	Journal Article
Language:	English
Published:	IEEE 01-08-1995
Subjects:	Dynamic programming Environmental economics Iterative algorithms Lagrangian functions Power generation economics Power system dynamics Power system economics Power systems Relaxation methods Spinning
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	This paper proposes a new approach based on augmented Lagrangian relaxation for short term generation scheduling problems with transmission and environmental constraints. In this method, the power system constraints, e.g. load demand, spinning reserve, transmission capacity and environmental constraints, are relaxed by using Lagrangian multipliers, and quadratic penalty terms associated with power system load demand balance are added to the Lagrangian objective function. Then, the decomposition and coordination technique is used, and nonseparable quadratic penalty terms are replaced by linearization around the solution obtained from the previous iteration. In order to improve the convergence property, the exactly convex quadratic terms of decision variables are added to the objective function as strongly convex, differentiable and separable auxiliary functions. The overall problem is decomposed into N subproblems, multipliers and penalty coefficients are updated in the dual problem and power system constraints are satisfied iteratively. The corresponding unit commitment subproblems are solved by dynamic programming, and the economic dispatch with transmission and environmental constraints is solved by an efficient network flow programming algorithm. The augmented Lagrangian relaxation method enhanced by the decomposition and coordination techniques avoids oscillations associated with piece-wise linear cost functions. Numerical results indicate that the proposed approach is fast and efficient in dealing with numerous power system constraints.< >
AbstractList	This paper proposes a new approach based on augmented Lagrangian relaxation for short term generation scheduling problems with transmission and environmental constraints. In this method, the power system constraints, e.g. load demand, spinning reserve, transmission capacity and environmental constraints, are relaxed by using Lagrangian multipliers, and quadratic penalty terms associated with power system load demand balance are added to the Lagrangian objective function. Then, the decomposition and coordination technique is used, and nonseparable quadratic penalty terms are replaced by linearization around the solution obtained from the previous iteration. In order to improve the convergence property, the exactly convex quadratic terms of decision variables are added to the objective function as strongly convex, differentiable and separable auxiliary functions. The overall problem is decomposed into N subproblems, multipliers and penalty coefficients are updated in the dual problem and power system constraints are satisfied iteratively. The corresponding unit commitment subproblems are solved by dynamic programming, and the economic dispatch with transmission and environmental constraints is solved by an efficient network flow programming algorithm. The augmented Lagrangian relaxation method enhanced by the decomposition and coordination techniques avoids oscillations associated with piece-wise linear cost functions. Numerical results indicate that the proposed approach is fast and efficient in dealing with numerous power system constraints This paper proposes a new approach based on augmented Lagrangian relaxation for short term generation scheduling problems with transmission and environmental constraints. In this method, the power system constraints, e.g. load demand, spinning reserve, transmission capacity and environmental constraints, are relaxed by using Lagrangian multipliers, and quadratic penalty terms associated with power system load demand balance are added to the Lagrangian objective function. Then, the decomposition and coordination technique is used, and nonseparable quadratic penalty terms are replaced by linearization around the solution obtained from the previous iteration. In order to improve the convergence property, the exactly convex quadratic terms of decision variables are added to the objective function as strongly convex, differentiable and separable auxiliary functions. The overall problem is decomposed into N subproblems, multipliers and penalty coefficients are updated in the dual problem and power system constraints are satisfied iteratively. The corresponding unit commitment subproblems are solved by dynamic programming, and the economic dispatch with transmission and environmental constraints is solved by an efficient network flow programming algorithm. The augmented Lagrangian relaxation method enhanced by the decomposition and coordination techniques avoids oscillations associated with piece-wise linear cost functions. Numerical results indicate that the proposed approach is fast and efficient in dealing with numerous power system constraints.< >
Author	Shahidehpour, S.M. Kirschen, D.S. Wang, S.J. Mokhtari, S. Irisarri, G.D.
Author_xml	– sequence: 1 givenname: S.J. surname: Wang fullname: Wang, S.J. organization: Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA – sequence: 2 givenname: S.M. surname: Shahidehpour fullname: Shahidehpour, S.M. organization: Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA – sequence: 3 givenname: D.S. surname: Kirschen fullname: Kirschen, D.S. – sequence: 4 givenname: S. surname: Mokhtari fullname: Mokhtari, S. – sequence: 5 givenname: G.D. surname: Irisarri fullname: Irisarri, G.D.
BookMark	eNo9kD1PwzAQhi1UJNrCwMqUCYkh5ezEbjKiii-pEgMwR45zSY0Su9gO0H9PQiqmk-553jvdLcjMWIOEXFJYUQr5Lc9XqRCcpSdkTjnPYhDrfEbmkGU8znIOZ2Th_QcAiAHMyeF1Z12IA7ouatCgk0FbE3m1w6pvtWmibx12UXDS-E57P0JpqgjNl3bWdGiCbCNljR8UbYKPej-m5KD1zYixirayGfKNHpoOW_nzt-OcnNay9XhxrEvy_nD_tnmKty-Pz5u7baySlIdY1Fmi6rrmjCYSyhQ5LxUrhQLMacozZGrNEs6AJxRA0bJUFaCQkqaMMimSJbme5u6d_ezRh2K4Q2HbSoO29wXLBNCEj-LNJCpnvXdYF3unO-kOBYVifG7B82J67uBeTa5GxH_vCH8B5yt5ow
CODEN	ITPSEG
CitedBy_id	crossref_primary_10_4028_www_scientific_net_AMR_562_564_1990 crossref_primary_10_1016_j_epsr_2007_02_011 crossref_primary_10_1109_59_761909 crossref_primary_10_1109_59_852121 crossref_primary_10_4236_jpee_2015_36003 crossref_primary_10_1109_TPWRS_2013_2267057 crossref_primary_10_1109_TPWRS_2015_2493162 crossref_primary_10_1016_j_ijepes_2012_06_004 crossref_primary_10_1016_j_jclepro_2019_03_021 crossref_primary_10_1109_TSG_2016_2595494 crossref_primary_10_1109_TSTE_2021_3063473 crossref_primary_10_3389_fenrg_2023_1075889 crossref_primary_10_1016_j_ijepes_2014_07_044 crossref_primary_10_1109_TSTE_2023_3327497 crossref_primary_10_1109_TPWRS_2020_3005407 crossref_primary_10_1109_TPWRS_2013_2269804 crossref_primary_10_1109_TSG_2015_2396952 crossref_primary_10_1007_s12667_023_00564_5 crossref_primary_10_1109_TPWRS_2018_2864285 crossref_primary_10_3390_en12244656 crossref_primary_10_1109_TPWRS_2023_3276049 crossref_primary_10_1016_j_gloei_2021_05_001 crossref_primary_10_4028_www_scientific_net_AMM_596_649 crossref_primary_10_1109_TPWRS_2010_2045161 crossref_primary_10_3390_en14020298 crossref_primary_10_1088_1757_899X_231_1_012066 crossref_primary_10_1109_TPWRS_2005_857286 crossref_primary_10_1016_j_ijepes_2014_04_061 crossref_primary_10_1109_59_736282 crossref_primary_10_1109_TPWRS_2013_2272518 crossref_primary_10_1142_S021812661100792X crossref_primary_10_3390_w11071392 crossref_primary_10_1109_59_486103 crossref_primary_10_1016_j_ijepes_2016_11_012 crossref_primary_10_1016_j_ijepes_2023_109599 crossref_primary_10_1109_TPWRS_2014_2359234 crossref_primary_10_3390_en10122029 crossref_primary_10_1016_j_epsr_2003_10_002 crossref_primary_10_1016_j_epsr_2020_106601 crossref_primary_10_1061__ASCE_0733_9402_2005_131_2_118 crossref_primary_10_4236_jcc_2015_39009 crossref_primary_10_1016_j_enconman_2010_10_006 crossref_primary_10_1016_j_epsr_2005_10_005 crossref_primary_10_1109_TSTE_2019_2940624 crossref_primary_10_1016_j_enconman_2008_12_003 crossref_primary_10_1038_s41467_020_18318_7 crossref_primary_10_1016_j_epsr_2005_06_009 crossref_primary_10_1016_j_ijepes_2017_08_039 crossref_primary_10_1109_TSG_2014_2375251 crossref_primary_10_1016_j_epsr_2024_110300 crossref_primary_10_1016_j_enconman_2008_09_027 crossref_primary_10_1109_59_667387 crossref_primary_10_1007_s00202_012_0235_9 crossref_primary_10_1016_j_ijepes_2009_07_001 crossref_primary_10_1016_j_swevo_2012_01_001 crossref_primary_10_1109_TPWRS_2005_857391 crossref_primary_10_1007_s11771_014_1976_6 crossref_primary_10_1109_TPWRS_2014_2347373 crossref_primary_10_1016_j_ejor_2013_09_028 crossref_primary_10_3724_SP_J_1087_2009_01028 crossref_primary_10_1016_j_ijepes_2018_07_024 crossref_primary_10_1016_j_renene_2013_04_015 crossref_primary_10_1016_j_ijepes_2006_09_004 crossref_primary_10_1016_j_ijepes_2022_108225 crossref_primary_10_1002_2050_7038_12841 crossref_primary_10_1109_59_761910 crossref_primary_10_1049_ip_gtd_20010642 crossref_primary_10_1109_TPWRS_2002_800909 crossref_primary_10_3233_IA_180037 crossref_primary_10_1016_j_ijepes_2019_02_040 crossref_primary_10_1109_TSG_2013_2263111 crossref_primary_10_1016_j_apenergy_2015_06_065 crossref_primary_10_1007_s10589_018_0015_1 crossref_primary_10_1007_s13675_015_0051_x crossref_primary_10_1016_j_jprocont_2024_103233 crossref_primary_10_1109_TPWRS_2005_860942 crossref_primary_10_1109_JSYST_2018_2864578 crossref_primary_10_1109_TPWRS_2002_805003 crossref_primary_10_1016_j_apenergy_2019_114387 crossref_primary_10_1016_S0377_2217_02_00460_5 crossref_primary_10_1109_TPWRS_2006_881128 crossref_primary_10_1016_j_ijepes_2007_10_006 crossref_primary_10_1109_TPWRS_2004_831301 crossref_primary_10_1109_TSG_2019_2962669 crossref_primary_10_1177_0957650917711820 crossref_primary_10_1109_JPROC_2005_847253 crossref_primary_10_1007_s12597_009_0007_0 crossref_primary_10_1016_j_ejor_2006_09_072 crossref_primary_10_1109_TPWRS_2013_2254503 crossref_primary_10_1109_TPWRS_2022_3215463 crossref_primary_10_1109_TSG_2014_2317744 crossref_primary_10_1007_s11431_013_5355_6 crossref_primary_10_1109_59_801896 crossref_primary_10_1016_j_epsr_2004_01_014 crossref_primary_10_1016_j_epsr_2004_01_015 crossref_primary_10_1007_s13042_020_01103_9 crossref_primary_10_1016_j_apenergy_2004_07_013 crossref_primary_10_1109_59_867149 crossref_primary_10_3389_fenrg_2022_998492 crossref_primary_10_1016_j_ijepes_2011_09_013 crossref_primary_10_1109_59_744490 crossref_primary_10_1109_59_918302 crossref_primary_10_1109_ACCESS_2020_2978092 crossref_primary_10_1109_TPWRS_2005_854375 crossref_primary_10_1109_TPWRS_2005_846076 crossref_primary_10_1109_TPWRS_2015_2494688 crossref_primary_10_1016_j_ifacol_2016_10_706 crossref_primary_10_1109_TSTE_2013_2294467 crossref_primary_10_1016_j_apenergy_2018_11_015 crossref_primary_10_1016_S1474_6670_17_57245_6 crossref_primary_10_1109_59_496182 crossref_primary_10_1002_etep_2205 crossref_primary_10_1109_59_962422 crossref_primary_10_1016_j_ijepes_2005_08_016 crossref_primary_10_1109_TSTE_2016_2597398 crossref_primary_10_1049_iet_gtd_2018_7108 crossref_primary_10_1007_s10479_015_2029_8 crossref_primary_10_1016_j_ejor_2005_01_020 crossref_primary_10_1016_j_ejor_2017_02_005 crossref_primary_10_1049_iet_rpg_2010_0196 crossref_primary_10_1080_15435075_2014_893874 crossref_primary_10_1109_TPWRS_2019_2891227 crossref_primary_10_3390_en15103594 crossref_primary_10_1088_1742_6596_1650_3_032032 crossref_primary_10_1016_j_epsr_2004_11_005 crossref_primary_10_1109_TPWRS_2012_2216553 crossref_primary_10_1109_TSG_2017_2778027 crossref_primary_10_1002_etep_2107 crossref_primary_10_1109_59_871728 crossref_primary_10_1109_59_871722 crossref_primary_10_1016_j_ejor_2007_04_008 crossref_primary_10_1109_JPROC_2020_3007395 crossref_primary_10_1109_TPWRS_2013_2254728 crossref_primary_10_1080_15325000600815449 crossref_primary_10_1049_iet_rpg_2016_0875 crossref_primary_10_1109_TPWRS_2016_2544795 crossref_primary_10_1109_TCAD_2006_882584 crossref_primary_10_1016_j_energy_2010_06_022 crossref_primary_10_1109_TPWRS_2015_2506604 crossref_primary_10_1016_j_renene_2013_10_025 crossref_primary_10_1109_59_780941 crossref_primary_10_1016_j_epsr_2011_09_022 crossref_primary_10_1016_j_ijepes_2012_08_008 crossref_primary_10_1016_S0142_0615_98_00013_1 crossref_primary_10_1109_ACCESS_2020_3006025 crossref_primary_10_1049_iet_gtd_2020_0805 crossref_primary_10_3390_su10061916 crossref_primary_10_1016_S0142_0615_03_00070_X crossref_primary_10_1080_0952813X_2013_861876 crossref_primary_10_1016_j_enconman_2011_11_035 crossref_primary_10_1109_TPWRS_2016_2539278 crossref_primary_10_4028_www_scientific_net_AMM_284_287_3087 crossref_primary_10_1007_s40565_015_0136_9 crossref_primary_10_1002_etep_245 crossref_primary_10_1109_TPWRS_2002_807114 crossref_primary_10_1016_j_asoc_2010_05_006 crossref_primary_10_1016_S0142_0615_01_00007_2 crossref_primary_10_1007_s10479_018_3003_z crossref_primary_10_1080_07313560050129080 crossref_primary_10_1063_1_4892517 crossref_primary_10_1109_TPWRS_2013_2288701 crossref_primary_10_1109_TSG_2019_2957142 crossref_primary_10_1016_j_cie_2012_02_013 crossref_primary_10_1016_S1474_6670_17_57018_4 crossref_primary_10_1541_ieejpes_123_1156 crossref_primary_10_1109_TPWRS_2016_2576465 crossref_primary_10_1109_59_627890 crossref_primary_10_1016_j_epsr_2011_09_006 crossref_primary_10_1109_TPWRS_2013_2244231 crossref_primary_10_1016_S0378_7796_99_00035_8 crossref_primary_10_1109_TPWRS_2006_873407 crossref_primary_10_1109_59_744500 crossref_primary_10_1109_TPWRS_2016_2544851 crossref_primary_10_1049_iet_gtd_2016_1619 crossref_primary_10_1109_TPWRS_2011_2159522 crossref_primary_10_1016_j_renene_2018_07_106 crossref_primary_10_1016_S0167_9236_98_00073_6 crossref_primary_10_1016_j_apenergy_2011_11_008 crossref_primary_10_1049_iet_gtd_2008_0573 crossref_primary_10_1007_s00186_014_0478_5 crossref_primary_10_1109_TSG_2014_2316911 crossref_primary_10_1109_TPWRS_2008_919404 crossref_primary_10_1016_j_ijepes_2019_105523 crossref_primary_10_3923_jas_2016_189_200 crossref_primary_10_1007_s10288_014_0279_y crossref_primary_10_1016_j_cor_2015_01_012 crossref_primary_10_1016_j_ejor_2005_09_009 crossref_primary_10_1049_iet_gtd_2013_0436 crossref_primary_10_1016_j_ijepes_2013_03_040 crossref_primary_10_1016_S0378_7796_02_00224_9 crossref_primary_10_1109_59_651641 crossref_primary_10_1541_ieejpes_127_1159 crossref_primary_10_1016_j_ijepes_2019_03_064 crossref_primary_10_1049_iet_rpg_2015_0198 crossref_primary_10_1016_j_epsr_2009_12_012 crossref_primary_10_1002_tee_22933 crossref_primary_10_1016_j_egyr_2022_10_005 crossref_primary_10_1109_TPWRS_2010_2070882 crossref_primary_10_1007_s11081_023_09843_7 crossref_primary_10_1155_2012_856178 crossref_primary_10_1109_JPROC_2005_857490 crossref_primary_10_1109_TPWRS_2011_2165087 crossref_primary_10_1038_s41560_018_0133_0 crossref_primary_10_1080_21680566_2018_1540950 crossref_primary_10_1002_tee_23733 crossref_primary_10_1109_TPWRS_2007_907444 crossref_primary_10_1109_TSTE_2019_2962756 crossref_primary_10_1002_etep_1625 crossref_primary_10_1016_j_aej_2022_01_025 crossref_primary_10_1016_j_ijepes_2020_106339 crossref_primary_10_1016_S0142_0615_97_00058_6 crossref_primary_10_1016_j_enpol_2015_03_016 crossref_primary_10_1109_TPWRS_2006_873104 crossref_primary_10_1016_j_apenergy_2024_123035 crossref_primary_10_1016_j_epsr_2014_06_017 crossref_primary_10_1155_2014_179583 crossref_primary_10_1109_59_801936 crossref_primary_10_1007_s11081_020_09499_7 crossref_primary_10_1016_S1474_6670_17_46395_6 crossref_primary_10_1109_TSG_2013_2268462 crossref_primary_10_1109_TSG_2011_2172996 crossref_primary_10_1155_2017_9153297 crossref_primary_10_1016_j_ijepes_2016_02_037 crossref_primary_10_1016_S0378_7796_03_00147_0 crossref_primary_10_1088_1742_6596_1176_4_042071 crossref_primary_10_1016_j_ijepes_2016_02_033 crossref_primary_10_1016_j_ejor_2004_02_019 crossref_primary_10_1023_A_1013601906224 crossref_primary_10_1080_0740817X_2016_1167287 crossref_primary_10_1007_s10107_015_0971_5 crossref_primary_10_1016_S0142_0615_97_00012_4 crossref_primary_10_1016_j_epsr_2009_06_005 crossref_primary_10_1109_TPWRS_2021_3081557 crossref_primary_10_1016_j_ijepes_2014_07_016 crossref_primary_10_1049_iet_gtd_2012_0193 crossref_primary_10_1016_j_energy_2016_05_029 crossref_primary_10_1109_TSTE_2017_2673120 crossref_primary_10_1007_s00202_004_0245_3 crossref_primary_10_1109_TSTE_2019_2931908 crossref_primary_10_1016_j_energy_2019_04_108 crossref_primary_10_1016_j_apenergy_2009_01_022 crossref_primary_10_1016_j_enconman_2009_07_021 crossref_primary_10_1109_TPWRS_2003_820707 crossref_primary_10_1155_2009_368024 crossref_primary_10_1016_j_ejor_2004_06_004 crossref_primary_10_1007_s10957_004_1708_4 crossref_primary_10_1109_59_898101 crossref_primary_10_1145_3289182 crossref_primary_10_1049_ip_gtd_20045228 crossref_primary_10_1109_59_667334 crossref_primary_10_1016_j_scs_2012_12_001 crossref_primary_10_1109_ACCESS_2022_3191781 crossref_primary_10_1109_TASE_2011_2159838 crossref_primary_10_1109_TPWRS_2012_2205021 crossref_primary_10_1023_A_1014805213554 crossref_primary_10_1049_iet_rpg_2013_0086 crossref_primary_10_1109_59_736264 crossref_primary_10_1016_j_ijepes_2020_105909 crossref_primary_10_1109_TSTE_2015_2482939 crossref_primary_10_1051_e3sconf_202014401001 crossref_primary_10_1016_j_epsr_2006_06_009 crossref_primary_10_1109_TPWRS_2013_2250530 crossref_primary_10_1049_gtd2_12299 crossref_primary_10_1109_TPWRS_2019_2930706 crossref_primary_10_1515_ijeeps_2018_0006
Cites_doi	10.1109/59.131072 10.1109/59.65896 10.1109/PROC.1972.8557 10.1109/T-PAS.1976.32228 10.1109/59.54579 10.1109/59.192975 10.1109/59.260859 10.1007/978-1-4613-1683-1 10.1109/TPAS.1984.318284 10.1109/59.317648 10.1002/net.3230070105 10.1109/TPAS.1983.318063 10.1016/S0022-0000(67)80015-1 10.1007/BF01580223 10.1109/59.54549 10.1109/59.207311 10.1109/59.192933 10.1109/59.336106 10.1109/TPAS.1979.319398
ContentType	Journal Article
DBID	AAYXX CITATION 7SP 8FD L7M
DOI	10.1109/59.466524
DatabaseName	CrossRef Electronics & Communications Abstracts Technology Research Database Advanced Technologies Database with Aerospace
DatabaseTitle	CrossRef Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts
DatabaseTitleList	Technology Research Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1558-0679
EndPage	1301
ExternalDocumentID	10_1109_59_466524 466524
GroupedDBID	-~X .DC 0R~ 29I 3EH 4.4 5GY 5VS 6IK 85S 97E AAJGR AASAJ ABFSI ABQJQ ABVLG ACGFO ACGFS ACIWK ACKIV AENEX AETIX AI. AIBXA AKJIK ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 E.L EBS EJD HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 MS~ O9- OCL P2P RIA RIE RIG RNS TAE TN5 VH1 VJK XFK AAYXX CITATION 7SP 8FD L7M
ID	FETCH-LOGICAL-c345t-6f83cfff5213a0b4e55bc2b6c0e91458e2c72352053100c1bbcd0e6aa14212a63
IEDL.DBID	RIE
ISSN	0885-8950
IngestDate	Fri Aug 16 00:31:26 EDT 2024 Fri Aug 23 00:43:05 EDT 2024 Wed Jun 26 19:30:20 EDT 2024
IsPeerReviewed	true
IsScholarly	true
Issue	3
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c345t-6f83cfff5213a0b4e55bc2b6c0e91458e2c72352053100c1bbcd0e6aa14212a63
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
PQID	28601356
PQPubID	23500
PageCount	8
ParticipantIDs	crossref_primary_10_1109_59_466524 proquest_miscellaneous_28601356 ieee_primary_466524
PublicationCentury	1900
PublicationDate	1995-08-01
PublicationDateYYYYMMDD	1995-08-01
PublicationDate_xml	– month: 08 year: 1995 text: 1995-08-01 day: 01
PublicationDecade	1990
PublicationTitle	IEEE transactions on power systems
PublicationTitleAbbrev	TPWRS
PublicationYear	1995
Publisher	IEEE
Publisher_xml	– name: IEEE
References	ref13 ref14 ref11 ref10 ref2 ref17 ref16 ref19 bertsekas (ref21) 1991 bertsekas (ref18) 1982 ref24 batut (ref12) 1990 ref23 ref25 (ref1) 1992; 7 ref22 ref8 ref7 ref9 ref4 kennington (ref20) 1980 ref3 cohen (ref15) 1984; 1 ref6 ref5
References_xml	– ident: ref11 doi: 10.1109/59.131072 – ident: ref9 doi: 10.1109/59.65896 – ident: ref10 doi: 10.1109/PROC.1972.8557 – ident: ref3 doi: 10.1109/T-PAS.1976.32228 – volume: 7 start-page: 1197 year: 1992 ident: ref1 article-title: Current Issues in Operational Planning publication-title: IEEE Current Operating Problems Working Group Report IEEE Trans on Power Systems – ident: ref6 doi: 10.1109/59.54579 – ident: ref19 doi: 10.1109/59.192975 – year: 1980 ident: ref20 publication-title: Algorithms for Network Programming contributor: fullname: kennington – ident: ref24 doi: 10.1109/59.260859 – ident: ref2 doi: 10.1007/978-1-4613-1683-1 – ident: ref7 doi: 10.1109/TPAS.1984.318284 – ident: ref16 doi: 10.1109/59.317648 – year: 1991 ident: ref21 publication-title: Linear Network Optimization contributor: fullname: bertsekas – ident: ref22 doi: 10.1002/net.3230070105 – volume: 1 start-page: 203 year: 1984 ident: ref15 publication-title: Advance in Large Scale Systems Theory and Application contributor: fullname: cohen – year: 1982 ident: ref18 publication-title: Constrained Optimization and Lagrange Multiplier Methods contributor: fullname: bertsekas – ident: ref4 doi: 10.1109/TPAS.1983.318063 – ident: ref23 doi: 10.1016/S0022-0000(67)80015-1 – ident: ref17 doi: 10.1007/BF01580223 – ident: ref8 doi: 10.1109/59.54549 – ident: ref13 doi: 10.1109/59.207311 – ident: ref5 doi: 10.1109/59.192933 – year: 1990 ident: ref12 article-title: New Software for the Generation Rescheduling in the Future EDF National Control Center publication-title: Proceedings of the 10th Power Systems Computation Conference contributor: fullname: batut – ident: ref14 doi: 10.1109/59.336106 – ident: ref25 doi: 10.1109/TPAS.1979.319398
SSID	ssj0006679
Score	2.0963984
Snippet	This paper proposes a new approach based on augmented Lagrangian relaxation for short term generation scheduling problems with transmission and environmental...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Publisher
StartPage	1294
SubjectTerms	Dynamic programming Environmental economics Iterative algorithms Lagrangian functions Power generation economics Power system dynamics Power system economics Power systems Relaxation methods Spinning
Title	Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation
URI	https://ieeexplore.ieee.org/document/466524 https://search.proquest.com/docview/28601356
Volume	10
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
link	http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELYoEww8CojytBBrWid-xB4RtOqAWAoSW-Q4TphSRBMJ_j13TlsVwcIWRT45Ojv-7s7-PhNyK0qVW850JH1eRAJpMtY4EdmY-RIQCSISLLhNZ-nTq34Yi5XOduDCeO_D4TM_xMewl1_MXYulspFQSiaiR3qp0R1Va73oKtXJ6mktI20kW4oIxcyMpBl2hj-gJ9yl8msBDqgy2f_X9xyQvWXwSO-60T4kW77uk90NScEj8jV7g4A6wgWXVkFSGj1PIYcFTEHqOcXKK20QomCIsVZGbV3QDcIb9OAwasTLI5oFxZPxFbShtq2CgmdBH20F9hXMLIpcmM_QxzF5mYyf76fR8nqFyHEhm0iVmruyLAHAuWW58FLmLsmVY97EQmqfuDSB-Ax_U8ZcnOeuYF5ZG-MuslX8hGzX89qfEgoozwvr8zS2kO4lxpZcCME5WCRM2GRAblaez947FY0sZB_MZNJknR8HpI8uXjdYvb1eDVEGbsHtDFv7ebvIEg3JJJfq7E-7c7LTsc_xrN4F2W4-Wn9JeouivQoz5xvkwsWu
link.rule.ids	315,782,786,798,27933,27934,54767
linkProvider	IEEE
linkToHtml	http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELZoGYCBRwFRXrUQa1onfiQZEbQqonRpkdgix3HClCLaSPDvuXPaqggWtijyydHZ8Xd39veZkFuRq1RzFnnSppknkCajYyM87TObAyJBRIIFt-EkHL9GD32x0tl2XBhrrTt8Zrv46Pbys5mpsFTWE0rJQDTIthShCmuy1nrZVaoW1osi6UWxZEsZIZ_FPRl3a9Mf4ONuU_m1BDtcGRz864sOyf4yfKR39XgfkS1btsjehqjgMfmavEFI7eGSSwsnKo2-p5DFAqog-Zxi7ZUuEKRgkLFaRnWZ0Q3KG_RgMG7E6yMWc4pn4wtoQ3VVOA3PjI50AfYFzC2KbJhP18cJeRn0p_dDb3nBgme4kAtP5RE3eZ4DhHPNUmGlTE2QKsNs7AsZ2cCEAURo-KMyZvw0NRmzSmsf95G14qekWc5Ke0Yo4DzPtE1DX0PCF8Q650IIzsEiYEIHbXKz8nzyXutoJC7_YHEi46T2Y5u00MXrBqu3ndUQJeAW3NDQpZ1V8ySIIJ3kUp3_adchO8Pp8ygZPY6fLshuzUXHk3uXpLn4qOwVacyz6trNom9u5cj_
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=Short-term+generation+scheduling+with+transmission+and+environmental+constraints+using+an+augmented+Lagrangian+relaxation&rft.jtitle=IEEE+transactions+on+power+systems&rft.au=Wang%2C+S.J.&rft.au=Shahidehpour%2C+S.M.&rft.au=Kirschen%2C+D.S.&rft.au=Mokhtari%2C+S.&rft.date=1995-08-01&rft.pub=IEEE&rft.issn=0885-8950&rft.eissn=1558-0679&rft.volume=10&rft.issue=3&rft.spage=1294&rft.epage=1301&rft_id=info:doi/10.1109%2F59.466524&rft.externalDocID=466524
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0885-8950&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0885-8950&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0885-8950&client=summon