Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets
This study presents, mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generation (DG), first, the most appropriate zone has been identified based on real power...
Gespeichert in:
| Veröffentlicht in: | IET generation, transmission & distribution Jg. 4; H. 2; S. 281 - 298 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Stevenage
The Institution of Engineering & Technology
01.02.2010
|
| Schlagworte: | |
| ISSN: | 1751-8687, 1751-8695 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | This study presents, mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generation (DG), first, the most appropriate zone has been identified based on real power nodal price and real power loss sensitivity index as an economic and operational criterion. After identifying the suitable zone, mixed integer non-linear programming approach has been applied to locate optimal place and number of distributed generators in the obtained zone. The non-linear optimisation approach consists of minimisation of total fuel cost of conventional and DG sources as well as minimisation of line losses in the network. The results have been obtained for pool electricity market model for comparison. The impact of demand variation on the results has also been obtained for both the market models. The proposed MINLP-based optimisation approach has been applied for IEEE 24, bus reliability test system. |
|---|---|
| AbstractList | This study presents, mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generation (DG), first, the most appropriate zone has been identified based on real power nodal price and real power loss sensitivity index as an economic and operational criterion. After identifying the suitable zone, mixed integer non-linear programming approach has been applied to locate optimal place and number of distributed generators in the obtained zone. The non-linear optimisation approach consists of minimisation of total fuel cost of conventional and DG sources as well as minimisation of line losses in the network. The results have been obtained for pool electricity market model for comparison. The impact of demand variation on the results has also been obtained for both the market models. The proposed MINLP-based optimisation approach has been applied for IEEE 24, bus reliability test system. |
| Author | Gao, W. Kumar, A. |
| Author_xml | – sequence: 1 givenname: A. surname: Kumar fullname: Kumar, A. organization: Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India – sequence: 2 givenname: W. surname: Gao fullname: Gao, W. organization: Department of Electrical and Computer Engineering, Centre for Energy Systems Research, Tennessee Tech University, USA |
| BookMark | eNp9kU1LJDEQhoMo-PkDvAW8eOkxSXe-jiK7qyDMRc8hk9S0GbvTY5KGnX-_mR3x4MFTFdTzFm_Ve46O4xQBoWtKFpR0-i5AafriF4wQvSCEiSN0RiWnjRKaH3_1Sp6i85w3hHAuOnmGtsttCaMdsA-5pLCaC3jcQ4RkS5giHiZ3aOYcYo_H8LfOQyzQQ8LVQzOECDbhbZr6ZMdxD4WI33arFDyGAVzd6kLZ4dGmdyj5Ep2s7ZDh6rNeoNffv14eHpvn5Z-nh_vnxrVElEZpYdXKroGyFWivFWlbL1ovpfSeMttx6CiVVtrWO65aZ5VjRK9Z56TghLUX6Pawtzr7mCEXM4bsYBhshGnOhgpOO84lExW9-YZupjnF6q5STCmtlSaVkgfKpSnnBGtTz_r_m5JsGAwlZp-EqUmYmoTZJ2H2SVQl_abcpvrztPtB8w-CT5JR |
| CitedBy_id | crossref_primary_10_1002_etep_1907 crossref_primary_10_1016_j_scs_2021_103567 crossref_primary_10_1016_j_rser_2016_10_071 crossref_primary_10_1007_s11771_017_3459_z crossref_primary_10_1016_j_energy_2017_05_169 crossref_primary_10_1109_TPWRS_2012_2207971 crossref_primary_10_1155_2014_518970 crossref_primary_10_1051_matecconf_20163801007 crossref_primary_10_1016_j_procs_2015_10_095 crossref_primary_10_1016_j_egyr_2019_12_010 crossref_primary_10_1016_j_rser_2014_07_200 crossref_primary_10_3390_en11102672 crossref_primary_10_1016_j_epsr_2012_12_009 crossref_primary_10_1016_j_ijepes_2011_09_015 crossref_primary_10_1016_j_rser_2012_10_039 crossref_primary_10_1016_j_ijepes_2014_05_034 crossref_primary_10_1016_j_rser_2016_10_036 crossref_primary_10_1016_j_rser_2015_11_086 crossref_primary_10_1016_j_tej_2019_05_016 crossref_primary_10_1049_esi2_12029 crossref_primary_10_1002_etep_1630 crossref_primary_10_1109_TIA_2013_2260117 crossref_primary_10_3390_en14144270 crossref_primary_10_1016_j_ijepes_2014_08_004 crossref_primary_10_1016_j_renene_2013_12_042 crossref_primary_10_1049_iet_rpg_2011_0028 crossref_primary_10_1002_etep_1681 crossref_primary_10_1016_j_energy_2019_116644 crossref_primary_10_1016_j_energy_2023_127867 crossref_primary_10_3390_en9070528 crossref_primary_10_3390_en11123424 crossref_primary_10_1016_j_epsr_2015_06_022 crossref_primary_10_1016_j_seta_2018_03_002 crossref_primary_10_1049_iet_gtd_2010_0721 crossref_primary_10_1016_j_rser_2013_08_075 crossref_primary_10_1016_j_epsr_2019_105952 crossref_primary_10_1080_15325008_2015_1102989 crossref_primary_10_1108_IJESM_03_2017_0002 crossref_primary_10_1002_oca_935 crossref_primary_10_1109_TPWRS_2013_2287880 crossref_primary_10_1016_j_rser_2010_09_035 crossref_primary_10_1109_JSYST_2018_2808197 crossref_primary_10_1016_j_rser_2015_04_027 crossref_primary_10_1016_j_rser_2017_04_024 crossref_primary_10_1002_2050_7038_2839 crossref_primary_10_1093_ijlct_ctae219 crossref_primary_10_1016_j_matpr_2017_11_154 crossref_primary_10_1007_s42452_019_1609_7 crossref_primary_10_1016_j_ijepes_2014_03_044 crossref_primary_10_1109_TPWRS_2012_2237043 crossref_primary_10_1080_01430750_2015_1031407 crossref_primary_10_1016_j_rser_2014_10_057 crossref_primary_10_1109_TIA_2016_2600669 crossref_primary_10_1016_j_egyr_2018_01_004 crossref_primary_10_1016_j_ijepes_2012_02_012 crossref_primary_10_3390_en16083532 crossref_primary_10_1016_j_solener_2011_09_011 crossref_primary_10_1049_iet_gtd_2011_0190 crossref_primary_10_1109_TSTE_2011_2166281 crossref_primary_10_1016_j_epsr_2012_12_011 crossref_primary_10_1108_COMPEL_12_2021_0495 crossref_primary_10_1016_j_renene_2017_05_087 crossref_primary_10_3390_en15217850 crossref_primary_10_1016_j_apenergy_2014_02_025 crossref_primary_10_1049_iet_rpg_2017_0335 crossref_primary_10_1080_23311916_2020_1766394 crossref_primary_10_1016_j_asoc_2018_03_009 |
| Cites_doi | 10.1109/PESW.2002.984969 10.1109/TPWRS.2004.831699 10.1109/TPWRS.2005.846219 10.1016/j.epsr.2006.11.014 10.1109/TPWRS.2005.852115 10.1109/TEC.2004.827704 10.1109/59.667400 10.1016/S0378-7796(01)00101-8 10.1016/j.ijepes.2006.02.003 10.1016/j.epsr.2006.08.016 10.1109/59.709092 10.1109/TPAS.1979.319398 10.1109/59.317547 10.1016/j.epsr.2004.01.006 10.1109/TPWRS.2005.846114 10.1080/15325000701199438 |
| ContentType | Journal Article |
| Copyright | Copyright The Institution of Engineering & Technology 2010 |
| Copyright_xml | – notice: Copyright The Institution of Engineering & Technology 2010 |
| DBID | AAYXX CITATION 8FE 8FG ABJCF AFKRA ARAPS BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS S0W 7SP 7TB 8FD F28 FR3 KR7 L7M |
| DOI | 10.1049/iet-gtd.2009.0026 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection (subscription) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Technology collection ProQuest One Community College ProQuest Central SciTech Premium Collection ProQuest Engineering Collection Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection DELNET Engineering & Technology Collection Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Civil Engineering Abstracts Advanced Technologies Database with Aerospace |
| DatabaseTitle | CrossRef Advanced Technologies & Aerospace Collection Engineering Database Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest DELNET Engineering and Technology Collection Materials Science & Engineering Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) Engineering Collection Civil Engineering Abstracts Technology Research Database Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts Engineering Research Database Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitleList | Civil Engineering Abstracts Advanced Technologies & Aerospace Collection |
| Database_xml | – sequence: 1 dbid: P5Z name: AAdvanced Technologies & Aerospace Database (subscription) url: https://search.proquest.com/hightechjournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1751-8695 |
| EndPage | 298 |
| ExternalDocumentID | 3511955191 10_1049_iet_gtd_2009_0026 |
| Genre | Feature |
| GroupedDBID | .DC 0R~ 0ZK 1OC 29I 4.4 4IJ 6IK 8FE 8FG 8VB 96U AAHJG AAJGR AAYXX ABJCF ABQXS ACIWK ADEYR AEGXH AFAZI AFFHD AFKRA ALMA_UNASSIGNED_HOLDINGS ARAPS BENPR BGLVJ CCPQU CITATION EBS EJD F8P GROUPED_DOAJ HCIFZ HZ~ IPLJI K1G L6V LAI M43 M7S MCNEO MS~ O9- P62 PHGZM PHGZT PQGLB PTHSS QWB RNS RUI S0W U5U UNMZH ZL0 DWQXO PKEHL PQEST PQQKQ PQUKI PRINS 7SP 7TB 8FD F28 FR3 KR7 L7M |
| ID | FETCH-LOGICAL-c306t-896a8bafe12be9d98033d63d777dd12a45e4117a7a3dc583ca8c209f24c765023 |
| IEDL.DBID | BENPR |
| ISICitedReferencesCount | 101 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000274626100015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1751-8687 |
| IngestDate | Sun Nov 09 11:18:44 EST 2025 Fri Jul 25 12:15:26 EDT 2025 Tue Nov 18 21:23:11 EST 2025 Sat Nov 29 04:17:16 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c306t-896a8bafe12be9d98033d63d777dd12a45e4117a7a3dc583ca8c209f24c765023 |
| Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| PQID | 1628899890 |
| PQPubID | 1936362 |
| PageCount | 18 |
| ParticipantIDs | proquest_miscellaneous_1651455726 proquest_journals_1628899890 crossref_citationtrail_10_1049_iet_gtd_2009_0026 crossref_primary_10_1049_iet_gtd_2009_0026 |
| PublicationCentury | 2000 |
| PublicationDate | 2010-02-01 |
| PublicationDateYYYYMMDD | 2010-02-01 |
| PublicationDate_xml | – month: 02 year: 2010 text: 2010-02-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Stevenage |
| PublicationPlace_xml | – name: Stevenage |
| PublicationTitle | IET generation, transmission & distribution |
| PublicationYear | 2010 |
| Publisher | The Institution of Engineering & Technology |
| Publisher_xml | – name: The Institution of Engineering & Technology |
| References | Harrison (10.1049/iet-gtd.2009.0026_r19) 2008; 78 Gautam (10.1049/iet-gtd.2009.0026_r23) 2007; 77 10.1049/iet-gtd.2009.0026_r33 10.1049/iet-gtd.2009.0026_r30 Donkelaar (10.1049/iet-gtd.2009.0026_r8) 2004; 15 10.1049/iet-gtd.2009.0026_r17 Cano (10.1049/iet-gtd.2009.0026_r20) 2007 10.1049/iet-gtd.2009.0026_r16 10.1049/iet-gtd.2009.0026_r15 10.1049/iet-gtd.2009.0026_r7 10.1049/iet-gtd.2009.0026_r14 10.1049/iet-gtd.2009.0026_r6 10.1049/iet-gtd.2009.0026_r13 Lopes (10.1049/iet-gtd.2009.0026_r9) 2007; 77 (10.1049/iet-gtd.2009.0026_r27) 1979; PAS-98 Sharma (10.1049/iet-gtd.2009.0026_r32) 2007; 35 Dugan (10.1049/iet-gtd.2009.0026_r2) 2002; 1 Rosehart (10.1049/iet-gtd.2009.0026_r10) 2002 Sadighizadeh (10.1049/iet-gtd.2009.0026_r24) 2008; 27 Porkar (10.1049/iet-gtd.2009.0026_r22) 2007 Cheng (10.1049/iet-gtd.2009.0026_r31) 1998; 13 Nara (10.1049/iet-gtd.2009.0026_r11) 2001 10.1049/iet-gtd.2009.0026_r29 10.1049/iet-gtd.2009.0026_r28 10.1049/iet-gtd.2009.0026_r26 Acharya (10.1049/iet-gtd.2009.0026_r18) 2006; 28 10.1049/iet-gtd.2009.0026_r25 10.1049/iet-gtd.2009.0026_r5 10.1049/iet-gtd.2009.0026_r4 Estevez (10.1049/iet-gtd.2009.0026_r21) 2007; 22 10.1049/iet-gtd.2009.0026_r3 10.1049/iet-gtd.2009.0026_r1 Celli (10.1049/iet-gtd.2009.0026_r12) 2001 |
| References_xml | – start-page: 81 year: 2001 ident: 10.1049/iet-gtd.2009.0026_r12 publication-title: Proc. IEEE PES Conf. on PICA – volume: 1 start-page: 121 year: 2002 ident: 10.1049/iet-gtd.2009.0026_r2 publication-title: Proc. IEEE PES, Winter Meeting doi: 10.1109/PESW.2002.984969 – volume: 15 start-page: 323 year: 2004 ident: 10.1049/iet-gtd.2009.0026_r8 – ident: 10.1049/iet-gtd.2009.0026_r25 – volume: 78 start-page: 392 year: 2008 ident: 10.1049/iet-gtd.2009.0026_r19 – volume: 27 start-page: 251 year: 2008 ident: 10.1049/iet-gtd.2009.0026_r24 – ident: 10.1049/iet-gtd.2009.0026_r13 doi: 10.1109/TPWRS.2004.831699 – year: 2007 ident: 10.1049/iet-gtd.2009.0026_r20 publication-title: Proc. Power Engineering, Large Engg. System Conf. – ident: 10.1049/iet-gtd.2009.0026_r16 doi: 10.1109/TPWRS.2005.846219 – volume: 77 start-page: 1627 issn: 0378-7796 year: 2007 ident: 10.1049/iet-gtd.2009.0026_r23 doi: 10.1016/j.epsr.2006.11.014 – volume: 28 start-page: 669 year: 2006 ident: 10.1049/iet-gtd.2009.0026_r18 – ident: 10.1049/iet-gtd.2009.0026_r28 – ident: 10.1049/iet-gtd.2009.0026_r4 – ident: 10.1049/iet-gtd.2009.0026_r15 doi: 10.1109/TPWRS.2005.852115 – ident: 10.1049/iet-gtd.2009.0026_r7 doi: 10.1109/TEC.2004.827704 – ident: 10.1049/iet-gtd.2009.0026_r26 doi: 10.1109/59.667400 – ident: 10.1049/iet-gtd.2009.0026_r1 – ident: 10.1049/iet-gtd.2009.0026_r5 doi: 10.1016/S0378-7796(01)00101-8 – ident: 10.1049/iet-gtd.2009.0026_r3 – start-page: 90 year: 2007 ident: 10.1049/iet-gtd.2009.0026_r22 publication-title: Proc. Power System Large Engg. System Conf. – ident: 10.1049/iet-gtd.2009.0026_r17 doi: 10.1016/j.ijepes.2006.02.003 – volume: 77 start-page: 1189 issn: 0378-7796 year: 2007 ident: 10.1049/iet-gtd.2009.0026_r9 doi: 10.1016/j.epsr.2006.08.016 – ident: 10.1049/iet-gtd.2009.0026_r30 – start-page: 1 year: 2002 ident: 10.1049/iet-gtd.2009.0026_r10 publication-title: Proc. 14th PSC Conf. – start-page: 288 year: 2001 ident: 10.1049/iet-gtd.2009.0026_r11 publication-title: Proc. IEEE PES Winter Meeting – volume: 13 start-page: 1020 issn: 0885-8950 year: 1998 ident: 10.1049/iet-gtd.2009.0026_r31 doi: 10.1109/59.709092 – volume: PAS-98 start-page: 2047 issn: 0018-9510 year: 1979 ident: 10.1049/iet-gtd.2009.0026_r27 doi: 10.1109/TPAS.1979.319398 – ident: 10.1049/iet-gtd.2009.0026_r33 doi: 10.1109/59.317547 – volume: 22 issn: 0885-8950 year: 2007 ident: 10.1049/iet-gtd.2009.0026_r21 – ident: 10.1049/iet-gtd.2009.0026_r6 doi: 10.1016/j.epsr.2004.01.006 – ident: 10.1049/iet-gtd.2009.0026_r14 doi: 10.1109/TPWRS.2005.846114 – volume: 35 start-page: 921 issn: 1532-5008 year: 2007 ident: 10.1049/iet-gtd.2009.0026_r32 doi: 10.1080/15325000701199438 – ident: 10.1049/iet-gtd.2009.0026_r29 |
| SSID | ssj0055647 |
| Score | 2.2947953 |
| Snippet | This study presents, mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid... |
| SourceID | proquest crossref |
| SourceType | Aggregation Database Enrichment Source Index Database |
| StartPage | 281 |
| SubjectTerms | Distributed generation Electricity Generators Markets Mixed integer Nonlinearity Optimization Programming |
| Title | Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets |
| URI | https://www.proquest.com/docview/1628899890 https://www.proquest.com/docview/1651455726 |
| Volume | 4 |
| WOSCitedRecordID | wos000274626100015&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: PRVPQU databaseName: AAdvanced Technologies & Aerospace Database (subscription) customDbUrl: eissn: 1751-8695 dateEnd: 20141031 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: P5Z dateStart: 20070101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database (subscription) customDbUrl: eissn: 1751-8695 dateEnd: 20141031 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: M7S dateStart: 20070101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central - New (Subscription) customDbUrl: eissn: 1751-8695 dateEnd: 20141031 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: BENPR dateStart: 20070101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LbxMxEB5BygEOvBGBUhmJE5LV7MOvEwLUigMKES9VXFaOPU5XIpuQbBH8ezyON5RLL1xWK3l2ZXnsmbFn_H0AL0JdlRoReZDKcMKZ5HNhBBdoEAuli5COBr6-V9OpPjszs3zgts1llYNNTIbarxydkR8XxIsb9wZm8mr9gxNrFGVXM4XGdTggpLJ6BAdvTqazj4MtFkImirHoIwuupVb7vKY5brHni94PkJWErnDZM_1rmJO3Ob3zv_28C7dznMle7ybGPbiG3X24dQl98AGsP0RzsYxCnsBzifcKPVskGGrSFiM3l16oNn7Blu2v2J7gJXDDulXHKUK1G5ZLvJYk1Hbs_DddAmM7fp3WxSifLdPV6u1D-HJ68vntO54JGLiLO4meayOtntuARTlH442eVJWXlVdKeV-UthZYF4WyylbeCV05q105MaGsnYqRX1k9glHsDj4GFoKNwYTQKkhDGPFGoZA6YIxW5tL4egyTYfAbl9HJiSTje5Oy5LVpor6aqC_izTQN6WsML_efrHfQHFcJHw7qavIq3TZ_dTWG5_vmuL4oaWI7XF2QjCAsd1XKJ1f_4inc3FUWUKnLIYz6zQU-gxvuZ99uN0d5Yh5Rbemn-JyJb38AO1vxOw |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwEB1VBQk48F2xpYCR4IJkdfPh2D4ghICqVZcFiYJ6C157vERis9vdFOif4jficZKlXHrrgVukOFESv7wZ2-P3AJ75PEsVInJfSM1JZ5JPhBZcoEZMpEp8nBr4MpLjsTo-1h834He_F4bKKntOjETt5pbmyHcT8sUNYwM9fLU44eQaRaurvYVGC4tDPPsZhmyrlwdvQ_8-T9O9d0dv9nnnKsBtSI8brnRh1MR4TNIJaqfVMMtckTkppXNJanKBeZJII03mrFCZNcqmQ-3T3MqQzpDQQaD8KzmxfywV_NQzvxBFNDQLETnhqlByvYqqdyts-LRxvUAmaTmcj4P_hoEY2_Zu_W9f5Tbc7LJo9rqF_R3YwPou3DinrXgPFh8CGc5CI0fSwOTqhY5No8g2YZFREI8HVPk_ZbPqVzgfxTNwyep5zSn_NkvWFbDNqFFVs29ntMWNte5BlQ1jGDaLG8dX9-HzpbzyFmyGx8EHwLw3IVUSSvpCkwK-ligK5THkYpNCu3wAw76zS9tpr5MFyPcy1gDkugz4KAM-yBVUl4SPAbxYX7JohUcuarzTw6PsOGhV_sXGAJ6uTwf2oCUhU-P8lNoIUqqXabF98S2ewLX9o_ejcnQwPnwI19saCirq2YHNZnmKj-Cq_dFUq-Xj-Esw-HrZaPsDDw9KFQ |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lj9MwELZWC0Jw4I0oLGAkuCBZbR5-HRBCLBWrXZUeAK24hNQel0g0LW0W2L_Gr2PGScpy2dseuEWyEyXx55mxPfN9jD0LeZYaABBBaSuIZ1LMpJVCggVItElC3Br4dKQnE3N8bKc77HdfC0Nplb1NjIbaLx3tkQ8T0sXFtYEdDUOXFjHdH79afRekIEUnrb2cRguRQzj9icu3zcuDfRzr52k6fvvhzTvRKQwIh6FyI4xVpZmVAZJ0BtZbM8oyrzKvtfY-SctcQp4kutRl5p00mSuNS0c2pLnTGNoQ6QGa_0sa15g0u6byc-8FpFRR3Ay9cyKMMnp7omqHFTRi3vieLJN4Hc76xH9dQvRz4xv_8x-6ya530TV_3U6HW2wH6tvs2hnOxTts9R6N5AI7eaIMJrUv8HweybcJo5yce7ygioA5X1S_sD2SasCa18taUFxernmX2LagTlXNv55S6RtvVYUqh2sbvogF5Zu77OOFfPI9touvA_cZD6HEEEoaHZQlZnyrQSoTAGO0mbI-H7BRP_CF6zjZSRrkWxFzA3JbIFYKxAqphdqCsDJgL7a3rFpCkvM67_VQKTrbtCn-4mTAnm6b0arQUVFZw_KE-khisNepenD-I56wKwiy4uhgcviQXW1TKyjXZ4_tNusTeMQuux9NtVk_jrODsy8XDbY_YO9S9w |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimal+distributed+generation+location+using+mixed+integer+non-linear+programming+in+hybrid+electricity+markets&rft.jtitle=IET+generation%2C+transmission+%26+distribution&rft.au=Kumar%2C+A.&rft.au=Gao%2C+W.&rft.date=2010-02-01&rft.issn=1751-8687&rft.eissn=1751-8695&rft.volume=4&rft.issue=2&rft.spage=281&rft.epage=298&rft_id=info:doi/10.1049%2Fiet-gtd.2009.0026&rft.externalDBID=n%2Fa&rft.externalDocID=10_1049_iet_gtd_2009_0026 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1751-8687&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1751-8687&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1751-8687&client=summon |