Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach

In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented epsilon -constraint method,...

Full description

Saved in:

Bibliographic Details
Published in:	Energy conversion and management Vol. 78; pp. 151 - 164
Main Authors:	Zakariazadeh, Alireza, Jadid, Shahram, Siano, Pierluigi
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier 01.02.2014
Subjects:	Applied sciences decision making Demand Economics emissions Energy Energy distribution Energy use Exact sciences and technology linear programming markets Mathematical models Natural energy Reserve scheduling Reserves Scheduling wind Wind energy wind power Scheduling Demand response Optimization Emissions Wind energy Distribution Energy demand Multi-objective optimization Electric power production Wind power Energy management Distribution system Mathematical programming
ISSN:	0196-8904
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented epsilon -constraint method, is used to minimize the total operational costs and emissions and to generate Pareto-optimal solutions for the energy and reserve scheduling problem. Moreover, fuzzy decision making process is employed to extract one of the Pareto-optimal solutions as the best compromise non-dominated solution. The wind power and demand forecast errors are considered in this approach and the reserve can be furnished by the main grid as well as distributed generators and responsive loads. The consumers participate in both energy and reserve markets using various demand response programs. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. In order to solve the proposed optimization model, the Benders decomposition technique is used to convert the large scale mixed integer non-linear problem into mixed-integer linear programming and non-linear programming problems. The effectiveness of the proposed scheduling approach is verified on a 41-bus distribution test system over a 24-h period.
AbstractList	In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented ε-constraint method, is used to minimize the total operational costs and emissions and to generate Pareto-optimal solutions for the energy and reserve scheduling problem. Moreover, fuzzy decision making process is employed to extract one of the Pareto-optimal solutions as the best compromise non-dominated solution. The wind power and demand forecast errors are considered in this approach and the reserve can be furnished by the main grid as well as distributed generators and responsive loads. The consumers participate in both energy and reserve markets using various demand response programs. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. In order to solve the proposed optimization model, the Benders decomposition technique is used to convert the large scale mixed integer non-linear problem into mixed-integer linear programming and non-linear programming problems. The effectiveness of the proposed scheduling approach is verified on a 41-bus distribution test system over a 24-h period. In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented epsilon -constraint method, is used to minimize the total operational costs and emissions and to generate Pareto-optimal solutions for the energy and reserve scheduling problem. Moreover, fuzzy decision making process is employed to extract one of the Pareto-optimal solutions as the best compromise non-dominated solution. The wind power and demand forecast errors are considered in this approach and the reserve can be furnished by the main grid as well as distributed generators and responsive loads. The consumers participate in both energy and reserve markets using various demand response programs. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. In order to solve the proposed optimization model, the Benders decomposition technique is used to convert the large scale mixed integer non-linear problem into mixed-integer linear programming and non-linear programming problems. The effectiveness of the proposed scheduling approach is verified on a 41-bus distribution test system over a 24-h period.
Author	Zakariazadeh, Alireza Jadid, Shahram Siano, Pierluigi
Author_xml	– sequence: 1 givenname: Alireza surname: Zakariazadeh fullname: Zakariazadeh, Alireza – sequence: 2 givenname: Shahram surname: Jadid fullname: Jadid, Shahram – sequence: 3 givenname: Pierluigi orcidid: 0000-0002-0975-0241 surname: Siano fullname: Siano, Pierluigi
BackLink	http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28145464$$DView record in Pascal Francis
BookMark	eNqFkUFr3DAQhX1IoUnav1B0KfTi7ciWvFbpJYSkDQR6ac9iLI13tVjyVpID-wf6uyOT5NLLXjTo8b0ZeO-qughzoKr6xGHDgXdfDxsKZg4ew6YB3hZxA5JfVJfAVVf3CsT76iqlAwC0ErrL6t9dwWfvTE3hycVipZBxYhQo7k4Mg2WREsUnYsnsyS6TCzs2jyx5jJlZl3J0w5LdHFg6pUw-fWM3zC9TkYYDmeyK1WPeU3mcKauPcd5F9H5dhMfyQ7P_UL0bcUr08XVeV3_u737f_qwff_14uL15rI1oZK65Qg7EAbYjiUaglW2LQo5qwAE7YQe5VZ1tqLEWDAD1fKCxt4pjOzTKQntdfXnZW87-XShl7V0yNE0YaF6SbtZgQDXQn0X5tgUOvZLiPCp5t5Vctiv6-RXFVMIYIwbjkj5GV_I86abnQopu5b6_cCbOKUUatXEZ15hzRDdpDnotXB_0W-F6LXzVS-HF3v1nf7twxvgMUiy7Dw
CODEN	ECMADL
CitedBy_id	crossref_primary_10_1016_j_ijepes_2020_106134 crossref_primary_10_1016_j_rser_2016_03_039 crossref_primary_10_1016_j_apenergy_2021_117104 crossref_primary_10_1049_iet_rpg_2017_0659 crossref_primary_10_1049_tje2_12348 crossref_primary_10_1016_j_enconman_2015_04_004 crossref_primary_10_1109_ACCESS_2020_2978282 crossref_primary_10_3390_en9110973 crossref_primary_10_1080_20421338_2018_1540126 crossref_primary_10_1002_etep_2637 crossref_primary_10_3390_en16031403 crossref_primary_10_3390_su15139970 crossref_primary_10_1016_j_apenergy_2016_09_013 crossref_primary_10_1016_j_enconman_2014_11_048 crossref_primary_10_1016_j_segan_2024_101435 crossref_primary_10_1109_TII_2014_2346993 crossref_primary_10_3233_JIFS_212955 crossref_primary_10_1016_j_enconman_2014_09_062 crossref_primary_10_1016_j_est_2020_101301 crossref_primary_10_1080_15325008_2015_1080769 crossref_primary_10_1016_j_enconman_2015_02_070 crossref_primary_10_1016_j_jenvman_2015_08_002 crossref_primary_10_1016_j_epsr_2014_02_021 crossref_primary_10_3390_su15118869 crossref_primary_10_3390_en14102855 crossref_primary_10_1016_j_est_2020_102089 crossref_primary_10_1016_j_ijepes_2020_106422 crossref_primary_10_1109_TSG_2017_2768486 crossref_primary_10_1016_j_est_2022_104142 crossref_primary_10_1016_j_enconman_2016_07_076 crossref_primary_10_1016_j_energy_2019_115949 crossref_primary_10_1109_TPWRS_2015_2409894 crossref_primary_10_1109_JSYST_2014_2356559 crossref_primary_10_3390_en10111778 crossref_primary_10_1016_j_ijepes_2015_01_023 crossref_primary_10_1109_TSG_2016_2623947 crossref_primary_10_1007_s42835_023_01451_w crossref_primary_10_1016_j_enconman_2014_06_078 crossref_primary_10_1109_TII_2014_2316639 crossref_primary_10_1002_er_3536 crossref_primary_10_1016_j_ijepes_2018_04_017 crossref_primary_10_1016_j_enconman_2014_03_022 crossref_primary_10_1016_j_suscom_2022_100819 crossref_primary_10_1049_iet_gtd_2015_0327 crossref_primary_10_1016_j_scs_2017_11_039 crossref_primary_10_1016_j_enconman_2014_07_001 crossref_primary_10_1080_15325008_2016_1220434 crossref_primary_10_1109_TSG_2014_2386780 crossref_primary_10_1016_j_eswa_2022_118127 crossref_primary_10_1080_15567249_2022_2038729 crossref_primary_10_1016_j_apenergy_2013_12_004 crossref_primary_10_1016_j_ijepes_2018_09_037 crossref_primary_10_1016_j_ijepes_2020_106193 crossref_primary_10_1016_j_apenergy_2017_02_051 crossref_primary_10_1016_j_rser_2016_08_002 crossref_primary_10_1109_TSTE_2015_2509031 crossref_primary_10_1016_j_est_2022_104756 crossref_primary_10_1007_s40998_020_00342_4 crossref_primary_10_1155_2020_8847221 crossref_primary_10_1016_j_energy_2019_06_085 crossref_primary_10_1016_j_ijepes_2020_106400 crossref_primary_10_1109_TII_2014_2331000 crossref_primary_10_1016_j_energy_2019_07_046 crossref_primary_10_1016_j_energy_2016_07_066 crossref_primary_10_1016_j_jclepro_2018_05_103 crossref_primary_10_1186_s42162_020_00105_9 crossref_primary_10_3390_en13010186 crossref_primary_10_1049_iet_gtd_2018_6554 crossref_primary_10_1016_j_ijepes_2016_03_015 crossref_primary_10_3390_app6010004 crossref_primary_10_1016_j_energy_2018_04_190 crossref_primary_10_1016_j_enconman_2014_08_054 crossref_primary_10_3390_en14144185 crossref_primary_10_1016_j_egyr_2020_04_021 crossref_primary_10_1007_s13369_020_04965_x crossref_primary_10_1016_j_ijepes_2021_106974 crossref_primary_10_3389_fenrg_2022_1009510 crossref_primary_10_1016_j_jclepro_2020_121562 crossref_primary_10_1016_j_epsr_2015_12_007 crossref_primary_10_1016_j_ijepes_2019_105466 crossref_primary_10_1016_j_renene_2014_08_012 crossref_primary_10_1016_j_enconman_2016_02_030 crossref_primary_10_1109_TPWRS_2017_2737521 crossref_primary_10_1016_j_enconman_2014_12_049 crossref_primary_10_1016_j_ijepes_2022_108351 crossref_primary_10_1016_j_enconman_2015_10_037 crossref_primary_10_1016_j_enconman_2014_06_044 crossref_primary_10_1007_s11356_024_32388_w crossref_primary_10_1016_j_enconman_2015_08_050 crossref_primary_10_1109_JSYST_2014_2336894 crossref_primary_10_1002_etep_2603 crossref_primary_10_3390_en13051225 crossref_primary_10_1016_j_ijepes_2016_02_032 crossref_primary_10_1007_s11227_024_06407_z crossref_primary_10_1016_j_rser_2015_12_031 crossref_primary_10_1080_15567249_2020_1808913 crossref_primary_10_1002_er_7024 crossref_primary_10_1016_j_ijepes_2014_05_062 crossref_primary_10_1016_j_ijepes_2021_107092 crossref_primary_10_1109_TII_2015_2390035 crossref_primary_10_1109_TII_2015_2462805 crossref_primary_10_1016_j_enconman_2015_08_059 crossref_primary_10_4028_www_scientific_net_AMR_945_949_2960 crossref_primary_10_1017_age_2020_10 crossref_primary_10_1049_iet_gtd_2019_0594 crossref_primary_10_1002_2050_7038_12235 crossref_primary_10_1002_2050_7038_12115 crossref_primary_10_1016_j_apenergy_2014_09_032 crossref_primary_10_1016_j_enbuild_2015_05_027 crossref_primary_10_1016_j_renene_2017_03_010 crossref_primary_10_1016_j_rineng_2025_104745 crossref_primary_10_1016_j_energy_2016_09_124 crossref_primary_10_1109_JSTSP_2014_2332301 crossref_primary_10_1017_S107407080003011X crossref_primary_10_3390_app5041284 crossref_primary_10_1016_j_cie_2019_05_027 crossref_primary_10_1016_j_jclepro_2018_08_270 crossref_primary_10_1016_j_jfranklin_2014_01_019 crossref_primary_10_1016_j_enconman_2014_02_056 crossref_primary_10_1002_ese3_70078 crossref_primary_10_1016_j_epsr_2022_107965 crossref_primary_10_1016_j_enconman_2015_06_048 crossref_primary_10_1109_TSTE_2016_2516530 crossref_primary_10_1016_j_energy_2019_01_143 crossref_primary_10_1016_j_energy_2018_04_037 crossref_primary_10_1016_j_ijepes_2014_06_037 crossref_primary_10_3390_en18020226 crossref_primary_10_3390_en15249420 crossref_primary_10_1016_j_energy_2017_03_051 crossref_primary_10_1016_j_renene_2021_11_019 crossref_primary_10_1109_TIA_2018_2803728 crossref_primary_10_3390_su15065453 crossref_primary_10_1016_j_tsep_2021_101020 crossref_primary_10_1016_j_enconman_2013_11_042 crossref_primary_10_1016_j_enconman_2015_09_070 crossref_primary_10_1016_j_asoc_2017_04_062 crossref_primary_10_1016_j_est_2018_12_010 crossref_primary_10_1002_2050_7038_13178 crossref_primary_10_1016_j_est_2022_105536 crossref_primary_10_1016_j_jclepro_2020_122808
Cites_doi	10.1016/j.ijepes.2009.06.005 10.1109/TPWRS.2013.2273567 10.1109/59.260859 10.1109/TPWRS.2005.857016 10.1109/TPWRS.2013.2270378 10.1109/TII.2012.2205391 10.1016/j.energy.2009.12.007 10.1007/BF01386316 10.1109/TPWRS.2009.2016364 10.1109/TIE.2010.2070771 10.1109/TPWRD.2009.2027510 10.1109/TSTE.2011.2161624 10.1109/TPWRS.2005.846206 10.1109/TSG.2012.2235865 10.1109/TPWRS.2008.2004745 10.1016/0098-1354(89)87016-4 10.1109/PES.2006.1709231 10.1109/TPWRS.2008.919318 10.1049/iet-rpg.2009.0011 10.1109/TPWRS.2005.857015 10.1109/TPWRS.2003.818593 10.1016/j.enconman.2012.04.021 10.1007/BF00934810 10.1109/TPWRS.2007.895176 10.1109/TEVC.2007.913121 10.1016/j.ijepes.2013.04.019 10.1016/j.apenergy.2013.06.058 10.1016/j.amc.2009.03.037 10.1016/j.enconman.2009.08.025 10.1016/S0165-1889(03)00113-1 10.1287/mnsc.47.2.295.9834 10.1109/TSG.2010.2050156 10.1109/TPWRS.2005.857845
ContentType	Journal Article
Copyright	2015 INIST-CNRS
Copyright_xml	– notice: 2015 INIST-CNRS
DBID	AAYXX CITATION IQODW 7ST 7U6 C1K SOI 7SU 7TB 8FD FR3 7S9 L.6
DOI	10.1016/j.enconman.2013.10.051
DatabaseName	CrossRef Pascal-Francis Environment Abstracts Sustainability Science Abstracts Environmental Sciences and Pollution Management Environment Abstracts Environmental Engineering Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database AGRICOLA AGRICOLA - Academic
DatabaseTitle	CrossRef Environment Abstracts Sustainability Science Abstracts Environmental Sciences and Pollution Management Engineering Research Database Technology Research Database Mechanical & Transportation Engineering Abstracts Environmental Engineering Abstracts AGRICOLA AGRICOLA - Academic
DatabaseTitleList	AGRICOLA Engineering Research Database Environment Abstracts
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering Applied Sciences Economics
EndPage	164
ExternalDocumentID	28145464 10_1016_j_enconman_2013_10_051
GroupedDBID	--K --M .DC .~1 0R~ 1B1 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 6TJ 7-5 71M 8P~ 8WZ 9DU 9JN A6W AABNK AAEDT AAEDW AAHBH AAHCO AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARJD AATTM AAXKI AAXUO AAYWO AAYXX ABDPE ABFNM ABFRF ABJNI ABMAC ABWVN ABXDB ACBEA ACDAQ ACGFO ACGFS ACIWK ACLOT ACNCT ACNNM ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADMUD ADNMO AEBSH AEFWE AEIPS AEKER AENEX AEUPX AFFNX AFJKZ AFPUW AFRAH AFTJW AGHFR AGQPQ AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIGII AIIUN AIKHN AITUG AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU APXCP ASPBG AVWKF AXJTR AZFZN BELTK BJAXD BKOJK BLXMC CITATION CS3 DU5 EBS EFJIC EFKBS EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q 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- ROL RPZ SAC SDF SDG SDP SES SEW SPC SPCBC SSR SST SSZ T5K TN5 WUQ XPP ZMT ~02 ~G- ~HD AACTN BNPGV IQODW RIG SSH 7ST 7U6 C1K SOI 7SU 7TB 8FD FR3 7S9 L.6
ID	FETCH-LOGICAL-c425t-19a10e1007fe424ad533a45f9baba64db5796d2e2dd0c00e81bef8d91a3b29d03
ISICitedReferencesCount	182
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000332136100018&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	Thu Oct 02 05:08:28 EDT 2025 Tue Oct 07 09:25:25 EDT 2025 Tue Oct 07 09:39:56 EDT 2025 Wed Apr 02 08:10:22 EDT 2025 Sat Nov 29 02:31:48 EST 2025 Tue Nov 18 21:49:27 EST 2025
IsPeerReviewed	true
IsScholarly	true
Keywords	Scheduling Demand response Optimization Emissions Wind energy Distribution Energy demand Multi-objective optimization Electric power production Wind power Energy management Distribution system Mathematical programming
Language	English
License	CC BY 4.0
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c425t-19a10e1007fe424ad533a45f9baba64db5796d2e2dd0c00e81bef8d91a3b29d03
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ORCID	0000-0002-0975-0241
PQID	1516751534
PQPubID	23462
PageCount	14
ParticipantIDs	proquest_miscellaneous_2000309208 proquest_miscellaneous_1730108954 proquest_miscellaneous_1516751534 pascalfrancis_primary_28145464 crossref_citationtrail_10_1016_j_enconman_2013_10_051 crossref_primary_10_1016_j_enconman_2013_10_051
PublicationCentury	2000
PublicationDate	2014-02-01
PublicationDateYYYYMMDD	2014-02-01
PublicationDate_xml	– month: 02 year: 2014 text: 2014-02-01 day: 01
PublicationDecade	2010
PublicationPlace	Kidlington
PublicationPlace_xml	– name: Kidlington
PublicationTitle	Energy conversion and management
PublicationYear	2014
Publisher	Elsevier
Publisher_xml	– name: Elsevier
References	Bouffard (10.1016/j.enconman.2013.10.051_b0290) 2005; 20 10.1016/j.enconman.2013.10.051_b0005 10.1016/j.enconman.2013.10.051_b0200 Mokryani (10.1016/j.enconman.2013.10.051_b0165) 2013; 53 10.1016/j.enconman.2013.10.051_b0285 10.1016/j.enconman.2013.10.051_b0295 10.1016/j.enconman.2013.10.051_b0090 Cecati (10.1016/j.enconman.2013.10.051_b0045) 2011; 2 Broeer (10.1016/j.enconman.2013.10.051_b0075) 2014; 113 Collette (10.1016/j.enconman.2013.10.051_b0195) 2003 Agrawal (10.1016/j.enconman.2013.10.051_b0210) 2008; 12 Birge (10.1016/j.enconman.2013.10.051_b0160) 1997 Harrison (10.1016/j.enconman.2013.10.051_b0065) 2007; 22 Makarov (10.1016/j.enconman.2013.10.051_b0115) 2009; 24 Gulpinar (10.1016/j.enconman.2013.10.051_b0135) 2004; 28 10.1016/j.enconman.2013.10.051_b0155 Hoyland (10.1016/j.enconman.2013.10.051_b0130) 2001; 47 10.1016/j.enconman.2013.10.051_b0230 10.1016/j.enconman.2013.10.051_b0240 10.1016/j.enconman.2013.10.051_b0085 Ortega-Vazquez (10.1016/j.enconman.2013.10.051_b0110) 2009; 24 Bouffard (10.1016/j.enconman.2013.10.051_b0150) 2005; 20 10.1016/j.enconman.2013.10.051_b0280 Siano (10.1016/j.enconman.2013.10.051_b0170) 2013; 28 Sauter (10.1016/j.enconman.2013.10.051_b0030) 2011; 58 Floudas (10.1016/j.enconman.2013.10.051_b0250) 1989; 13 Bouhouras (10.1016/j.enconman.2013.10.051_b0275) 2010; 32 Geoffrion (10.1016/j.enconman.2013.10.051_b0220) 1972; 10 Benders (10.1016/j.enconman.2013.10.051_b0215) 1962; 4 Doherty (10.1016/j.enconman.2013.10.051_b0120) 2005; 20 Medina (10.1016/j.enconman.2013.10.051_b0040) 2010; 1 10.1016/j.enconman.2013.10.051_b0225 Siano (10.1016/j.enconman.2013.10.051_b0035) 2012; 8 10.1016/j.enconman.2013.10.051_b0145 10.1016/j.enconman.2013.10.051_b0100 Wang (10.1016/j.enconman.2013.10.051_b0190) 1993; 8 10.1016/j.enconman.2013.10.051_b0265 10.1016/j.enconman.2013.10.051_b0270 Denny (10.1016/j.enconman.2013.10.051_b0025) 2006; 21 Brooke (10.1016/j.enconman.2013.10.051_b0235) 1998 Wang (10.1016/j.enconman.2013.10.051_b0185) 2003; 18 Vahidinasab (10.1016/j.enconman.2013.10.051_b0055) 2010; 35 Khodr (10.1016/j.enconman.2013.10.051_b0050) 2009; 24 Silva (10.1016/j.enconman.2013.10.051_b0070) 2012; 64 Mavrotas (10.1016/j.enconman.2013.10.051_b0205) 2009; 213 Kuo (10.1016/j.enconman.2013.10.051_b0060) 2010; 51 Yan (10.1016/j.enconman.2013.10.051_b0105) 2000; 2 Atwa (10.1016/j.enconman.2013.10.051_b0260) 2011; 5 10.1016/j.enconman.2013.10.051_b0015 10.1016/j.enconman.2013.10.051_b0255 Wood (10.1016/j.enconman.2013.10.051_b0180) 1996 10.1016/j.enconman.2013.10.051_b0010 10.1016/j.enconman.2013.10.051_b0020 10.1016/j.enconman.2013.10.051_b0140 Soares (10.1016/j.enconman.2013.10.051_b0080) 2013; 4 Bouffard (10.1016/j.enconman.2013.10.051_b0125) 2008; 23 Siano (10.1016/j.enconman.2013.10.051_b0175) 2013; 28 Geoffrion (10.1016/j.enconman.2013.10.051_b0245) 1972; 10 Boyle (10.1016/j.enconman.2013.10.051_b0095) 2004
References_xml	– volume: 32 start-page: 530 year: 2010 ident: 10.1016/j.enconman.2013.10.051_b0275 article-title: Cost/worth assessment of reliability improvement in distribution networks by means of artificial intelligence publication-title: Int J Electric Power Energy Syst doi: 10.1016/j.ijepes.2009.06.005 – volume: 28 start-page: 3852 year: 2013 ident: 10.1016/j.enconman.2013.10.051_b0175 article-title: Assessing wind turbines placement in a distribution market environment by using particle swarm optimization publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2273567 – volume: 8 start-page: 1341 year: 1993 ident: 10.1016/j.enconman.2013.10.051_b0190 article-title: Effects of ramp-rate limits on unit commitment and economic dispatch publication-title: IEEE Trans Power Syst doi: 10.1109/59.260859 – volume: 20 start-page: 1818 year: 2005 ident: 10.1016/j.enconman.2013.10.051_b0150 article-title: Market-clearing with stochastic security––Part I: Formulation publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2005.857016 – year: 2003 ident: 10.1016/j.enconman.2013.10.051_b0195 – ident: 10.1016/j.enconman.2013.10.051_b0285 – year: 2004 ident: 10.1016/j.enconman.2013.10.051_b0095 – volume: 28 start-page: 4209 year: 2013 ident: 10.1016/j.enconman.2013.10.051_b0170 article-title: Probabilistic Assessment of the impact of wind energy integration into distribution networks publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2270378 – volume: 8 start-page: 944 year: 2012 ident: 10.1016/j.enconman.2013.10.051_b0035 article-title: Real time operation of smart grids via FCN networks and optimal power flow publication-title: IEEE Trans Ind Inform doi: 10.1109/TII.2012.2205391 – volume: 35 start-page: 1497 year: 2010 ident: 10.1016/j.enconman.2013.10.051_b0055 article-title: Joint economic and emission dispatch in energy markets: a multiobjective mathematical programming approach publication-title: Energy doi: 10.1016/j.energy.2009.12.007 – ident: 10.1016/j.enconman.2013.10.051_b0140 – ident: 10.1016/j.enconman.2013.10.051_b0295 – year: 1998 ident: 10.1016/j.enconman.2013.10.051_b0235 – volume: 4 start-page: 238 year: 1962 ident: 10.1016/j.enconman.2013.10.051_b0215 article-title: Partitioning procedures for solving mixed-variables programming problems publication-title: Numer Math doi: 10.1007/BF01386316 – volume: 24 start-page: 1039 year: 2009 ident: 10.1016/j.enconman.2013.10.051_b0115 article-title: Operational impacts of wind generation on California power systems publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2016364 – volume: 58 start-page: 1218 year: 2011 ident: 10.1016/j.enconman.2013.10.051_b0030 article-title: End-to-end communication architecture for Smart Grids publication-title: IEEE Trans Ind Electron doi: 10.1109/TIE.2010.2070771 – ident: 10.1016/j.enconman.2013.10.051_b0020 – volume: 24 start-page: 2166 year: 2009 ident: 10.1016/j.enconman.2013.10.051_b0050 article-title: Distribution systems reconfiguration based on OPF using Benders decomposition publication-title: IEEE Trans Power Del doi: 10.1109/TPWRD.2009.2027510 – volume: 2 start-page: 468 year: 2011 ident: 10.1016/j.enconman.2013.10.051_b0045 article-title: Combined operations of renewable energy systems and responsive demand in a smart grid publication-title: IEEE Trans Sust Energy doi: 10.1109/TSTE.2011.2161624 – volume: 20 start-page: 587 year: 2005 ident: 10.1016/j.enconman.2013.10.051_b0120 article-title: A new approach to quantify reserve demand in systems with significant installed wind capacity publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2005.846206 – ident: 10.1016/j.enconman.2013.10.051_b0225 – volume: 4 start-page: 596 year: 2013 ident: 10.1016/j.enconman.2013.10.051_b0080 article-title: Day-ahead resource scheduling including demand response for electric vehicles publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2012.2235865 – volume: 24 start-page: 114 year: 2009 ident: 10.1016/j.enconman.2013.10.051_b0110 article-title: Estimating spinning reserve requirements in systems with significant wind power generation penetration publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2008.2004745 – ident: 10.1016/j.enconman.2013.10.051_b0200 – volume: 13 start-page: 1117 year: 1989 ident: 10.1016/j.enconman.2013.10.051_b0250 article-title: Global optimum search for nonconvex NLP and MINLP problems publication-title: Comput Chem Eng doi: 10.1016/0098-1354(89)87016-4 – ident: 10.1016/j.enconman.2013.10.051_b0100 doi: 10.1109/PES.2006.1709231 – volume: 23 start-page: 306 year: 2008 ident: 10.1016/j.enconman.2013.10.051_b0125 article-title: Stochastic security for operations planning with significant wind power generation publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2008.919318 – ident: 10.1016/j.enconman.2013.10.051_b0280 – year: 1996 ident: 10.1016/j.enconman.2013.10.051_b0180 – ident: 10.1016/j.enconman.2013.10.051_b0155 – volume: 5 start-page: 79 year: 2011 ident: 10.1016/j.enconman.2013.10.051_b0260 article-title: Probabilistic approach for optimal allocation of wind based distributed generation in distribution systems publication-title: IET Renew Power Gener doi: 10.1049/iet-rpg.2009.0011 – volume: 20 start-page: 1827 year: 2005 ident: 10.1016/j.enconman.2013.10.051_b0290 article-title: Market-clearing with stochastic security – Part II: Case studies publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2005.857015 – volume: 18 start-page: 1300 year: 2003 ident: 10.1016/j.enconman.2013.10.051_b0185 article-title: Demand-side reserve offers in joint energy/reserve electricity markets publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2003.818593 – ident: 10.1016/j.enconman.2013.10.051_b0270 – volume: 64 start-page: 273 year: 2012 ident: 10.1016/j.enconman.2013.10.051_b0070 article-title: An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2012.04.021 – volume: 10 start-page: 237 year: 1972 ident: 10.1016/j.enconman.2013.10.051_b0245 article-title: Generalized Benders decomposition publication-title: J Optimiz Theor Appl doi: 10.1007/BF00934810 – ident: 10.1016/j.enconman.2013.10.051_b0010 – volume: 22 start-page: 821 year: 2007 ident: 10.1016/j.enconman.2013.10.051_b0065 article-title: Exploring the trade-offs between incentives for distributed generation developers and DNOs publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2007.895176 – volume: 12 start-page: 529 year: 2008 ident: 10.1016/j.enconman.2013.10.051_b0210 article-title: Multiobjecive particle swarm algorithm with fuzzy clustering for electrical power dispatch publication-title: IEEE Trans Evolut Comput doi: 10.1109/TEVC.2007.913121 – ident: 10.1016/j.enconman.2013.10.051_b0090 – volume: 53 start-page: 244 year: 2013 ident: 10.1016/j.enconman.2013.10.051_b0165 article-title: Evaluating the integration of wind power into distribution networks by using Monte Carlo simulation publication-title: Int J Electric Power doi: 10.1016/j.ijepes.2013.04.019 – volume: 113 start-page: 199 year: 2014 ident: 10.1016/j.enconman.2013.10.051_b0075 article-title: Modeling framework and validation of a smart grid and demand response system for wind power integration publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.06.058 – volume: 2 start-page: 1249 year: 2000 ident: 10.1016/j.enconman.2013.10.051_b0105 article-title: Optimal energy purchases in deregulated California energy markets publication-title: Proc IEEE Power Eng Soc Winter Meeting – volume: 213 start-page: 455 year: 2009 ident: 10.1016/j.enconman.2013.10.051_b0205 article-title: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems publication-title: Appl Math Comput doi: 10.1016/j.amc.2009.03.037 – ident: 10.1016/j.enconman.2013.10.051_b0265 – volume: 51 start-page: 89 year: 2010 ident: 10.1016/j.enconman.2013.10.051_b0060 article-title: Generation dispatch under large penetration of wind energy considering emission and economy publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2009.08.025 – volume: 28 start-page: 1291 year: 2004 ident: 10.1016/j.enconman.2013.10.051_b0135 article-title: Simulation and optimization approaches to scenario tree generation publication-title: J Econ Dynam Control doi: 10.1016/S0165-1889(03)00113-1 – volume: 47 start-page: 295 year: 2001 ident: 10.1016/j.enconman.2013.10.051_b0130 article-title: Generating scenario trees for multistage problems publication-title: Manage Sci doi: 10.1287/mnsc.47.2.295.9834 – volume: 10 start-page: 237 year: 1972 ident: 10.1016/j.enconman.2013.10.051_b0220 article-title: Generalized Benders decomposition publication-title: J Optim Theor Appl doi: 10.1007/BF00934810 – ident: 10.1016/j.enconman.2013.10.051_b0255 – volume: 1 start-page: 193 year: 2010 ident: 10.1016/j.enconman.2013.10.051_b0040 article-title: Demand response and distribution grid operations: opportunities and challenges publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2010.2050156 – ident: 10.1016/j.enconman.2013.10.051_b0085 – volume: 21 start-page: 341 year: 2006 ident: 10.1016/j.enconman.2013.10.051_b0025 article-title: Wind generation power system operation and emissions reduction publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2005.857845 – ident: 10.1016/j.enconman.2013.10.051_b0230 – year: 1997 ident: 10.1016/j.enconman.2013.10.051_b0160 – ident: 10.1016/j.enconman.2013.10.051_b0015 – ident: 10.1016/j.enconman.2013.10.051_b0005 – ident: 10.1016/j.enconman.2013.10.051_b0145 – ident: 10.1016/j.enconman.2013.10.051_b0240
SSID	ssj0003506
Score	2.5114179
Snippet	In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart...
SourceID	proquest pascalfrancis crossref
SourceType	Aggregation Database Index Database Enrichment Source
StartPage	151
SubjectTerms	Applied sciences decision making Demand Economics emissions Energy Energy distribution Energy use Exact sciences and technology linear programming markets Mathematical models Natural energy Reserve scheduling Reserves Scheduling wind Wind energy wind power
Title	Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach
URI	https://www.proquest.com/docview/1516751534 https://www.proquest.com/docview/1730108954 https://www.proquest.com/docview/2000309208
Volume	78
WOSCitedRecordID	wos000332136100018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 0196-8904 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0003506 providerName: Elsevier
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3bbtMwGLZKxwUTQhxFOUxGQtxMGYnjNDZ3FeoE01R20UkVN5ETO7SlTbsepmkPwFPwsPw-JE3VaYwLbqLKiuO031f_B_8HhN5LQqSISeoFOVdgoLDcS_NUl8eToMDmkVbSTbOJuNdjgwE_azR-l7kwl5O4KNjVFZ__V6hhDMDWqbP_AHf1UBiAzwA6XAF2uN4J-DLV2KvlsAEOyib5mXBypV2x6hAMWxA0Exf3vJzCw_SBTdUDy5V5XtrsdRN6OEvHdoc8nFb1XnUul43ympqMR1elfMvnbxc3Ie7GP2feY7oTevNd_ATbXVwLqYY2_QZ25OtKcpwIObJ-7KEYLsS0cg8Bx43L9wyE_GQ9-jGqOzMCWsY_b_ybvO0xbjsSlxu07fHjdtjA1ae1wjqwJdB35IB1SYyPdDHQAr6NjuELj3QYXzm9Xni79y05Pj89TfrdQf_D_MLTPcn02b1r0HIP7ZE44qyJ9jpfu4OTStKHkendWr10LQP95qW3lJ-Hc7EEiHLbQGVHFzAKTv8xeuQsE9yxjHqCGqp4ivZr9SqfoV83cwtbbmHAFDtu4Q238CzHhlu4zi3suPUJd_A2s3CdWbjGLFwy6zk6P-72P3_xXCMPLwORsPICLgJf6XicXFFChQQbQ9Ao56lIRZvKVCdES6KIlH7m-wpMKZUzyQMRpoRLP3yBmsWsUC8RzlIaCJ7SkMmAZqBdi0yGWUxVzEQahryFovIXTjJX5V43W5kkZTjjOCmRSTQyehyQaaGP1by5rfPy1xkHWwBW0wgLaETbtIXelYgmsGfrgzhRqNl6mQCHwU4HXeO2e7To9RmPbrmHGI8GJz57dYe1XqMHm7_cG9RcLdbqLbqfXa5Gy8WB4_Yfnibd1w
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=Economic-environmental+energy+and+reserve+scheduling+of+smart+distribution+systems%3A+A+multiobjective+mathematical+programming+approach&rft.jtitle=Energy+conversion+and+management&rft.au=Zakariazadeh%2C+Alireza&rft.au=Jadid%2C+Shahram&rft.au=Siano%2C+Pierluigi&rft.date=2014-02-01&rft.issn=0196-8904&rft.volume=78&rft.spage=151&rft.epage=164&rft_id=info:doi/10.1016%2Fj.enconman.2013.10.051&rft.externalDBID=NO_FULL_TEXT
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