Optimal power flow algorithm and analysis in distribution system considering distributed generation
This study investigates the optimal power flow (OPF) problem for distribution networks with the integration of distributed generation (DG). By considering the objectives of minimal line loss, minimal voltage deviation and maximum DG active power output, the proposed OPF formulation is a multi-object...
Uloženo v:
| Vydáno v: | IET generation, transmission & distribution Ročník 8; číslo 2; s. 261 - 272 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Stevenage
The Institution of Engineering and Technology
01.02.2014
Institution of Engineering and Technology The Institution of Engineering & Technology |
| Témata: | |
| ISSN: | 1751-8687, 1751-8695 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | This study investigates the optimal power flow (OPF) problem for distribution networks with the integration of distributed generation (DG). By considering the objectives of minimal line loss, minimal voltage deviation and maximum DG active power output, the proposed OPF formulation is a multi-object optimisation problem. Through normalisation of each objective function, the multi-objective optimisation is transformed to single-objective optimisation. To solve such a non-convex problem, the trust-region sequential quadratic programming (TRSQP) method is proposed, which iteratively approximates the OPF by a quadratic programming with the trust-region guidance. The TRSQP utilises the sensitivity analysis to approximate all the constraints with linear ones, which will reduce the optimisation scale. Active set method is utilised in TRSQP to solve quadratic programming sub-problem. Numerical tests on IEEE 33-, PG&E 69- and actual 292-, 588-, 1180-bus systems show the applicability of the proposed method, and comparisons with the primal–dual interior point method and sequential linear programming method are provided. The initialisation and convergence condition of the proposed method are also discussed. The computational result indicates that the proposed algorithm for DG control optimisation in distribution system is feasible and effective. |
|---|---|
| AbstractList | This study investigates the optimal power flow (OPF) problem for distribution networks with the integration of distributed generation (DG). By considering the objectives of minimal line loss, minimal voltage deviation and maximum DG active power output, the proposed OPF formulation is a multi-object optimisation problem. Through normalisation of each objective function, the multi-objective optimisation is transformed to single-objective optimisation. To solve such a non-convex problem, the trust-region sequential quadratic programming (TRSQP) method is proposed, which iteratively approximates the OPF by a quadratic programming with the trust-region guidance. The TRSQP utilises the sensitivity analysis to approximate all the constraints with linear ones, which will reduce the optimisation scale. Active set method is utilised in TRSQP to solve quadratic programming sub-problem. Numerical tests on IEEE 33-, PG&E 69- and actual 292-, 588-, 1180-bus systems show the applicability of the proposed method, and comparisons with the primal–dual interior point method and sequential linear programming method are provided. The initialisation and convergence condition of the proposed method are also discussed. The computational result indicates that the proposed algorithm for DG control optimisation in distribution system is feasible and effective. This study investigates the optimal power flow (OPF) problem for distribution networks with the integration of distributed generation (DG). By considering the objectives of minimal line loss, minimal voltage deviation and maximum DG active power output, the proposed OPF formulation is a multi-object optimisation problem. Through normalisation of each objective function, the multi-objective optimisation is transformed to single-objective optimisation. To solve such a nonconvex problem, the trust-region sequential quadratic programming (TRSQP) method is proposed, which iteratively approximates the OPF by a quadratic programming with the trust-region guidance. The TRSQP utilises the sensitivity analysis to approximate all the constraints with linear ones, which will reduce the optimisation scale. Active set method is utilised in TRSQP to solve quadratic programming sub-problem. The initialisation and convergence condition of the proposed method are also discussed. The computational result indicates that, the proposed algorithm for DG control optimisation in distribution system is feasible and effective. |
| Author | Liu, Ke-yan Sheng, Wanxing Cheng, Sheng |
| Author_xml | – sequence: 1 givenname: Wanxing surname: Sheng fullname: Sheng, Wanxing organization: Power Distribution Research Department, China Electric Power Research Institute, Beijing 100192, People's Republic of China – sequence: 2 givenname: Ke-yan surname: Liu fullname: Liu, Ke-yan email: liukeyan@epri.sgcc.com.cn organization: Power Distribution Research Department, China Electric Power Research Institute, Beijing 100192, People's Republic of China – sequence: 3 givenname: Sheng surname: Cheng fullname: Cheng, Sheng organization: Power Distribution Research Department, China Electric Power Research Institute, Beijing 100192, People's Republic of China |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28126820$$DView record in Pascal Francis |
| BookMark | eNqFkV9vFCEUxYmpie3qB_BtEmOiD7NymQEG32xta5MmfVmfCcPASsPCCLPZ7LeXcfvHNGofCCT8zsm955ygoxCDQegt4CXgVnxyZqrX07AkGJolbjrxAh0Dp1B3TNCjh3fHX6GTnG8xppS1_Bjpm3FyG-WrMe5MqqyPu0r5dUxu-rGpVBjKUX6fXa5cqAaXp-T67eRiqPI-T2ZT6RiyG0xyYf34b4ZqbYJJaiZfo5dW-Wze3N0L9P3ifHX2rb6-ubw6-3Jda9pQUgPVANqy1vIWhGDQczwo1Teqx9D3VigOhrRGKEMtFzAYW_Y0oh2YJorbZoE-HHzHFH9uTZ7kxmVtvFfBxG2WwEVDCKMUP48yDlSwjkFB3z1Bb-M2lVAKVZxYRxo2G76_o1TWytukgnZZjqmEm_aSdEAKOXP8wOkUc07GSu2m3ylNSTkvAcu5T1n6lKVPOfcp5z6LEp4o783_p_l80OycN_vnBfJy9ZWcXmAMZasF-ngQz9jDzlfnq5n6QzMOc_T1X9h_D_YL3Z3W1Q |
| CitedBy_id | crossref_primary_10_1093_ijlct_ctae012 crossref_primary_10_1109_TPWRS_2022_3204227 crossref_primary_10_1109_JSYST_2020_2965056 crossref_primary_10_1109_JSYST_2022_3222571 crossref_primary_10_1109_TSG_2017_2663432 crossref_primary_10_1016_j_epsr_2018_09_002 crossref_primary_10_1016_j_ijepes_2021_107268 crossref_primary_10_1049_tje2_12402 crossref_primary_10_3390_app6060158 crossref_primary_10_3390_su12145787 crossref_primary_10_1016_j_neucom_2015_02_088 crossref_primary_10_1016_j_epsr_2018_04_005 crossref_primary_10_1049_esi2_12035 crossref_primary_10_1049_iet_gtd_2018_5033 crossref_primary_10_1016_j_ijepes_2015_01_033 crossref_primary_10_1002_er_6104 crossref_primary_10_1016_j_rser_2014_10_057 crossref_primary_10_1002_etep_2448 crossref_primary_10_1109_TSG_2014_2376197 crossref_primary_10_1109_TSG_2017_2703582 crossref_primary_10_1109_TSTE_2018_2877907 crossref_primary_10_1371_journal_pone_0149589 crossref_primary_10_1002_etep_2696 crossref_primary_10_1049_iet_gtd_2017_0684 crossref_primary_10_3390_en15217850 crossref_primary_10_1016_j_ijepes_2019_105513 crossref_primary_10_1109_TPWRD_2020_2965110 crossref_primary_10_1049_iet_gtd_2017_0584 crossref_primary_10_1109_TPWRS_2020_3000984 crossref_primary_10_1109_ACCESS_2017_2761391 crossref_primary_10_1109_TII_2019_2907745 crossref_primary_10_1016_j_apenergy_2019_114387 crossref_primary_10_1049_gtd2_12611 |
| Cites_doi | 10.1109/TPWRS.2011.2160974 10.1109/TPWRS.2010.2049036 10.1109/TPWRS.2010.2102371 10.1016/j.ijepes.2007.12.003 10.1109/TPWRS.2002.1007886 10.1109/TPWRS.2005.852125 10.1109/TPWRS.2009.2036461 10.1016/S0378‐7796(00)00097‐3 10.1016/j.ijepes.2004.12.001 10.1109/TPWRS.2010.2068568 10.1109/61.19265 10.1109/TPWRS.2002.807049 10.1109/PES.2009.5275373 10.1109/TPWRS.2009.2030424 10.1016/S0378‐7796(96)01103‐0 10.1016/S0378‐7796(01)00131‐6 10.1109/NAPS.2012.6336350 10.1049/ip‐gtd:20030198 10.1109/TPWRS.2011.2177673 10.1023/A:1008723031056 10.1109/59.736232 10.1109/59.898087 10.1016/j.ijepes.2011.01.032 10.1109/TPWRS.2010.2051168 10.1109/TPWRS.2009.2031223 10.1049/ip‐gtd:20020200 |
| ContentType | Journal Article |
| Copyright | The Institution of Engineering and Technology 2014 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology 2015 INIST-CNRS Copyright The Institution of Engineering & Technology 2014 |
| Copyright_xml | – notice: The Institution of Engineering and Technology – notice: 2014 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology – notice: 2015 INIST-CNRS – notice: Copyright The Institution of Engineering & Technology 2014 |
| DBID | AAYXX CITATION IQODW 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.2013.0389 |
| DatabaseName | CrossRef Pascal-Francis ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central ProQuest Technology Collection ProQuest One ProQuest Central Korea 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 | Advanced Technologies & Aerospace Collection CrossRef Civil Engineering Abstracts Civil Engineering Abstracts |
| Database_xml | – sequence: 1 dbid: P5Z name: Advanced Technologies & Aerospace Database url: https://search.proquest.com/hightechjournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Applied Sciences |
| EISSN | 1751-8695 |
| EndPage | 272 |
| ExternalDocumentID | 3234943311 28126820 10_1049_iet_gtd_2013_0389 GTD2BF00182 |
| Genre | article Feature |
| GroupedDBID | 0R 24P 29I 4.4 4IJ 6IK 8FE 8FG 8VB AAJGR ABJCF ABPTK ACIWK AFKRA ALMA_UNASSIGNED_HOLDINGS ARAPS BENPR BFFAM BGLVJ EBS EJD ESX GOZPB GRPMH HCIFZ HZ IFIPE IPLJI JAVBF L6V LAI LOTEE LXI M43 M7S MS NADUK NXXTH O9- OCL P62 PTHSS QWB RIE RNS RUI S0W U5U UNMZH UNR ZL0 .DC 0R~ 0ZK 1OC 96U AAHHS AAHJG ABQXS ACCFJ ACCMX ACESK ACXQS ADEYR ADZOD AEEZP AEGXH AEQDE AFAZI AIWBW AJBDE ALUQN AVUZU CCPQU F8P GROUPED_DOAJ HZ~ IAO IGS ITC K1G MCNEO MS~ OK1 ROL AAYXX AFFHD CITATION IDLOA PHGZM PHGZT PQGLB WIN IQODW DWQXO PKEHL PQEST PQQKQ PQUKI PRINS 7SP 7TB 8FD F28 FR3 KR7 L7M PUEGO |
| ID | FETCH-LOGICAL-c5352-15c11cf64f7419961b70daab3ab01bbf9a71e24e9ae5f791def389e94d6c2a7f3 |
| IEDL.DBID | BENPR |
| ISICitedReferencesCount | 51 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000331131300006&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 | Fri Sep 05 06:14:17 EDT 2025 Sun Nov 09 10:05:16 EST 2025 Wed Aug 13 08:48:24 EDT 2025 Wed Apr 02 07:25:11 EDT 2025 Wed Oct 29 21:43:50 EDT 2025 Tue Nov 18 21:45:02 EST 2025 Wed Jan 22 16:32:10 EST 2025 Tue Jan 05 21:44:05 EST 2021 Thu May 09 18:13:39 EDT 2019 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | iterative methods distribution networks sensitivity analysis PG&E 69-bus system iterative approximation IEEE 33-bus system optimal power flow algorithm linear programming distributed power generation actual 1180-bus system objective function normalisation multiobject optimisation problem DG integration trust-region sequential quadratic programming method maximum DG active power output TRSQP method single-objective optimisation DG control optimisation OPF problem nonconvex problem actual 588-bus system quadratic programming distribution system analysis sequential linear programming method minimal line loss actual 292-bus system distributed generation primal-dual interior point method active set method minimal voltage deviation load flow Sensitivity analysis Optimization method Multiobjective programming Interior point method Iterative method Linear programming Distributed power generation Quadratic programming Optimization Confidence interval Bus system Guidance Electrical network analysis Optimal power flow Electrical network Sequential method Primal dual method Line losses Objective function IEEE standards Electric power production Distribution network Algorithm analysis Comparative study |
| Language | English |
| License | CC BY 4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c5352-15c11cf64f7419961b70daab3ab01bbf9a71e24e9ae5f791def389e94d6c2a7f3 |
| Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-gtd.2013.0389 |
| PQID | 1503682360 |
| PQPubID | 23500 |
| PageCount | 12 |
| ParticipantIDs | proquest_miscellaneous_1793226550 proquest_journals_1503682360 crossref_citationtrail_10_1049_iet_gtd_2013_0389 proquest_miscellaneous_1671596861 wiley_primary_10_1049_iet_gtd_2013_0389_GTD2BF00182 crossref_primary_10_1049_iet_gtd_2013_0389 iet_journals_10_1049_iet_gtd_2013_0389 pascalfrancis_primary_28126820 |
| ProviderPackageCode | RUI |
| PublicationCentury | 2000 |
| PublicationDate | February 2014 |
| PublicationDateYYYYMMDD | 2014-02-01 |
| PublicationDate_xml | – month: 02 year: 2014 text: February 2014 |
| PublicationDecade | 2010 |
| PublicationPlace | Stevenage |
| PublicationPlace_xml | – name: Stevenage |
| PublicationTitle | IET generation, transmission & distribution |
| PublicationYear | 2014 |
| Publisher | The Institution of Engineering and Technology Institution of Engineering and Technology The Institution of Engineering & Technology |
| Publisher_xml | – name: The Institution of Engineering and Technology – name: Institution of Engineering and Technology – name: The Institution of Engineering & Technology |
| References | Berizzi, A.; Delfanti, M.; Marannino, P. (C5) 2005; 20 Ochoa, L.F.; Harrison, G.P. (C24) 2011; 26 Lin, X.; David, A.K.; Yu, C.W. (C4) 2003; 150 Chung, T.S.; Shaoyun, G. (C1) 1997; 39 Sousa, A.A.; Torres, G.L.; Cañizares, C.A. (C20) 2011; 26 Ochoa, L.F.; Dent, C.J.; Harrison, G.P. (C21) 2010; 25 Capitanescu, F.; Wehenkel, L. (C11) 2011; 26 Pudjianto, D.; Ahmed, S.; Strbac, G. (C7) 2002; 149 Capitanescu, F.; Wehenkel, L. (C12) 2010; 25 Lavaei, J.; Low, S.H. (C14) 2012; 27 Wang, M.; Liu, S. (C19) 2005; 27 Nejdawi, I.M.; Clements, K.A.; Davis, P.W. (C18) 2000; 15 Bakirtzis, A.G.; Biskas, P.N.; Zoumas, C.E. (C8) 2002; 17 Baran, B.E.; Wu, F.F. (C26) 1989; 4 Dent, C.J.; Ochoa, L.F.; Harrison, G.P. (C22) 2010; 25 Grudinin, N. (C2) 1998; 13 Bai, X.; Wei, H.; Fujisawa, K.; Wang, Y. (C13) 2008; 30 Biegler, L.T.; Nocedal, J.; Schmid, C. (C25) 2000; 15 Monmoh, J.A.; Zhu, J. (C6) 2001; 59 Liu, K.; Li, Y.; Sheng, W. (C9) 2011; 33 Abril, I.P.; González, J.A. (C17) 2003; 18 Capitanescu, F.; Wehenkel, L. (C27) 2011; 26 Zimmerman, R.D.; Murillo-Sánchez, C.E.; Thomas, R.J. (C28) 2011; 26 Granelli, G.P.; Montagna, M. (C3) 2000; 56 Dolan, M.J.; Davidson, E.M.; Kockar, I. (C10) 2012; 27 2002; 17 1989; 4 2010; 25 2012 2000; 15 2000; 56 2009 2003; 150 1997; 39 2005; 20 2011; 33 2002; 149 2001; 59 2003; 18 2012; 27 2011; 26 2008; 30 2005; 27 1998; 13 e_1_2_7_5_2 e_1_2_7_4_2 e_1_2_7_3_2 e_1_2_7_2_2 e_1_2_7_9_2 e_1_2_7_8_2 e_1_2_7_7_2 e_1_2_7_6_2 e_1_2_7_19_2 e_1_2_7_18_2 e_1_2_7_17_2 e_1_2_7_16_2 e_1_2_7_15_2 e_1_2_7_14_2 e_1_2_7_13_2 e_1_2_7_12_2 e_1_2_7_11_2 e_1_2_7_10_2 e_1_2_7_26_2 e_1_2_7_27_2 e_1_2_7_28_2 e_1_2_7_29_2 e_1_2_7_25_2 e_1_2_7_24_2 e_1_2_7_23_2 e_1_2_7_22_2 e_1_2_7_21_2 e_1_2_7_20_2 |
| References_xml | – volume: 26 start-page: 198 issue: 1 year: 2011 end-page: 205 ident: C24 article-title: Minimizing energy losses: optimal accommodation and smart operation of renewable distributed generation publication-title: IEEE Trans. Power Syst. – volume: 27 start-page: 790 issue: 2 year: 2012 end-page: 799 ident: C10 article-title: Distribution power flow management utilizing an online optimal power flow technique publication-title: IEEE Trans. Power Syst. – volume: 33 start-page: 1185 issue: 5 year: 2011 end-page: 1193 ident: C9 article-title: The decomposition and computation method for distributed optimal power flow based on message passing interface (MPI) publication-title: Int. J. Electr. Power Energy Syst. – volume: 4 start-page: 725 issue: 1 year: 1989 end-page: 734 ident: C26 article-title: Optimal capacitor placement on radial distribution systems publication-title: IEEE Trans. Power Deliv. – volume: 27 start-page: 92 issue: 1 year: 2012 end-page: 107 ident: C14 article-title: Zero duality gap in optimal power flow problem publication-title: IEEE Trans. Power Syst. – volume: 15 start-page: 1179 issue: 4 year: 2000 end-page: 1183 ident: C18 article-title: An efficient interior point method for sequential quadratic programming based optimal power flow publication-title: IEEE Trans. Power Syst. – volume: 25 start-page: 586 issue: 1 year: 2010 end-page: 587 ident: C12 article-title: Optimal power flow computations with a limited number of controls allowed to move publication-title: IEEE Trans. Power Syst. – volume: 26 start-page: 12 issue: 1 year: 2011 end-page: 19 ident: C28 article-title: MATPOWER: steady-state operations, planning and analysis tools for power systems research and education publication-title: IEEE Trans. Power Syst. – volume: 30 start-page: 383 issue: 6 year: 2008 end-page: 392 ident: C13 article-title: Semidefinite programming for optimal power flow problems publication-title: Int. J. Electr. Power Energy Syst. – volume: 149 start-page: 377 issue: 4 year: 2002 end-page: 383 ident: C7 article-title: Allocation of VAR support using LP and NLP based optimal power flows publication-title: IEE Proc. Gener. Transm. Distrib. – volume: 26 start-page: 1221 issue: 3 year: 2011 end-page: 1230 ident: C27 article-title: Redispatching active and reactive powers using a limited number of control actions publication-title: IEEE Trans. Power Syst. – volume: 26 start-page: 1221 issue: 3 year: 2011 end-page: 1230 ident: C11 article-title: Redispatching active and reactive powers using a limited number of control actions publication-title: IEEE Trans. Power Syst. – volume: 25 start-page: 296 issue: 1 year: 2010 end-page: 304 ident: C22 article-title: Network distributed generation capacity analysis using OPF with voltage step constraints publication-title: IEEE Trans. Power Syst. – volume: 56 start-page: 71 issue: 1 year: 2000 end-page: 80 ident: C3 article-title: Security-constrained economic dispatch using dual quadratic programming publication-title: Electr. Power Syst. Res. – volume: 17 start-page: 229 issue: 2 year: 2002 end-page: 236 ident: C8 article-title: Optimal power flow by enhanced genetic algorithm publication-title: IEEE Trans. Power Syst. – volume: 13 start-page: 1219 issue: 4 year: 1998 end-page: 1225 ident: C2 article-title: Reactive power optimization using successive quadratic programming method publication-title: IEEE Trans. Power Syst. – volume: 15 start-page: 45 issue: 1 year: 2000 end-page: 67 ident: C25 article-title: Numerical experience with a reduced Hessian method for large scale constrained optimization publication-title: Comput. Optim. Appl. – volume: 150 start-page: 305 issue: 3 year: 2003 end-page: 310 ident: C4 article-title: Reactive power optimization with voltage stability consideration in power market systems publication-title: IEE Proc. Gener. Transm. Distrib. – volume: 26 start-page: 487 issue: 2 year: 2011 end-page: 499 ident: C20 article-title: Robust optimal power flow solution using trust region and interior-point methods publication-title: IEEE Trans. Power Syst. – volume: 39 start-page: 129 issue: 2 year: 1997 end-page: 136 ident: C1 article-title: A recursive LP-based approach for optimal capacitor allocation with cost-benefit consideration publication-title: Electr. Power Syst. Res. – volume: 20 start-page: 1597 issue: 3 year: 2005 end-page: 1605 ident: C5 article-title: Enhanced security-constrained OPF with FACTS devices publication-title: IEEE Trans. Power Syst. – volume: 25 start-page: 87 issue: 1 year: 2010 end-page: 95 ident: C21 article-title: Distribution network capacity assessment: variable DG and active networks publication-title: IEEE Trans. Power Syst. – volume: 59 start-page: 13 issue: 1 year: 2001 end-page: 20 ident: C6 article-title: Multi-area power systems economic dispatch using nonlinear convex network flow programming publication-title: Electr. Power Syst. Res. – volume: 18 start-page: 36 issue: 1 year: 2003 end-page: 41 ident: C17 article-title: VAR compensation by sequential quadratic programming publication-title: IEEE Trans. Power Syst. – volume: 27 start-page: 293 issue: 4 year: 2005 end-page: 300 ident: C19 article-title: A trust region interior point algorithm for optimal power flow problems publication-title: Int. J. Electr. Power Energy Syst. – volume: 59 start-page: 13 issue: 1 year: 2001 end-page: 20 article-title: Multi‐area power systems economic dispatch using nonlinear convex network flow programming publication-title: Electr. Power Syst. Res. – volume: 27 start-page: 92 issue: 1 year: 2012 end-page: 107 article-title: Zero duality gap in optimal power flow problem publication-title: IEEE Trans. Power Syst. – volume: 25 start-page: 87 issue: 1 year: 2010 end-page: 95 article-title: Distribution network capacity assessment: variable DG and active networks publication-title: IEEE Trans. Power Syst. – volume: 17 start-page: 229 issue: 2 year: 2002 end-page: 236 article-title: Optimal power flow by enhanced genetic algorithm publication-title: IEEE Trans. Power Syst. – volume: 13 start-page: 1219 issue: 4 year: 1998 end-page: 1225 article-title: Reactive power optimization using successive quadratic programming method publication-title: IEEE Trans. Power Syst. – volume: 30 start-page: 383 issue: 6 year: 2008 end-page: 392 article-title: Semidefinite programming for optimal power flow problems publication-title: Int. J. Electr. Power Energy Syst. – volume: 27 start-page: 293 issue: 4 year: 2005 end-page: 300 article-title: A trust region interior point algorithm for optimal power flow problems publication-title: Int. J. Electr. Power Energy Syst. – volume: 27 start-page: 790 issue: 2 year: 2012 end-page: 799 article-title: Distribution power flow management utilizing an online optimal power flow technique publication-title: IEEE Trans. Power Syst. – volume: 15 start-page: 1179 issue: 4 year: 2000 end-page: 1183 article-title: An efficient interior point method for sequential quadratic programming based optimal power flow publication-title: IEEE Trans. Power Syst. – volume: 18 start-page: 36 issue: 1 year: 2003 end-page: 41 article-title: VAR compensation by sequential quadratic programming publication-title: IEEE Trans. Power Syst. – volume: 39 start-page: 129 issue: 2 year: 1997 end-page: 136 article-title: A recursive LP‐based approach for optimal capacitor allocation with cost‐benefit consideration publication-title: Electr. Power Syst. Res. – volume: 20 start-page: 1597 issue: 3 year: 2005 end-page: 1605 article-title: Enhanced security‐constrained OPF with FACTS devices publication-title: IEEE Trans. Power Syst. – volume: 33 start-page: 1185 issue: 5 year: 2011 end-page: 1193 article-title: The decomposition and computation method for distributed optimal power flow based on message passing interface (MPI) publication-title: Int. J. Electr. Power Energy Syst. – volume: 25 start-page: 296 issue: 1 year: 2010 end-page: 304 article-title: Network distributed generation capacity analysis using OPF with voltage step constraints publication-title: IEEE Trans. Power Syst. – year: 2012 – volume: 56 start-page: 71 issue: 1 year: 2000 end-page: 80 article-title: Security‐constrained economic dispatch using dual quadratic programming publication-title: Electr. Power Syst. Res. – volume: 26 start-page: 198 issue: 1 year: 2011 end-page: 205 article-title: Minimizing energy losses: optimal accommodation and smart operation of renewable distributed generation publication-title: IEEE Trans. Power Syst. – volume: 4 start-page: 725 issue: 1 year: 1989 end-page: 734 article-title: Optimal capacitor placement on radial distribution systems publication-title: IEEE Trans. Power Deliv. – volume: 26 start-page: 487 issue: 2 year: 2011 end-page: 499 article-title: Robust optimal power flow solution using trust region and interior‐point methods publication-title: IEEE Trans. Power Syst. – start-page: 1 year: 2009 end-page: 7 article-title: Optimal power flow for autonomous regional active network management system – volume: 150 start-page: 305 issue: 3 year: 2003 end-page: 310 article-title: Reactive power optimization with voltage stability consideration in power market systems publication-title: IEE Proc. Gener. Transm. Distrib. – volume: 25 start-page: 586 issue: 1 year: 2010 end-page: 587 article-title: Optimal power flow computations with a limited number of controls allowed to move publication-title: IEEE Trans. Power Syst. – volume: 15 start-page: 45 issue: 1 year: 2000 end-page: 67 article-title: Numerical experience with a reduced Hessian method for large scale constrained optimization publication-title: Comput. Optim. Appl. – volume: 149 start-page: 377 issue: 4 year: 2002 end-page: 383 article-title: Allocation of VAR support using LP and NLP based optimal power flows publication-title: IEE Proc. Gener. Transm. Distrib. – volume: 26 start-page: 12 issue: 1 year: 2011 end-page: 19 article-title: MATPOWER: steady‐state operations, planning and analysis tools for power systems research and education publication-title: IEEE Trans. Power Syst. – volume: 26 start-page: 1221 issue: 3 year: 2011 end-page: 1230 article-title: Redispatching active and reactive powers using a limited number of control actions publication-title: IEEE Trans. Power Syst. – ident: e_1_2_7_15_2 doi: 10.1109/TPWRS.2011.2160974 – ident: e_1_2_7_25_2 doi: 10.1109/TPWRS.2010.2049036 – ident: e_1_2_7_16_2 – ident: e_1_2_7_28_2 doi: 10.1109/TPWRS.2010.2102371 – ident: e_1_2_7_14_2 doi: 10.1016/j.ijepes.2007.12.003 – ident: e_1_2_7_9_2 doi: 10.1109/TPWRS.2002.1007886 – ident: e_1_2_7_6_2 doi: 10.1109/TPWRS.2005.852125 – ident: e_1_2_7_13_2 doi: 10.1109/TPWRS.2009.2036461 – ident: e_1_2_7_4_2 doi: 10.1016/S0378‐7796(00)00097‐3 – ident: e_1_2_7_20_2 doi: 10.1016/j.ijepes.2004.12.001 – ident: e_1_2_7_21_2 doi: 10.1109/TPWRS.2010.2068568 – ident: e_1_2_7_27_2 doi: 10.1109/61.19265 – ident: e_1_2_7_18_2 doi: 10.1109/TPWRS.2002.807049 – ident: e_1_2_7_24_2 doi: 10.1109/PES.2009.5275373 – ident: e_1_2_7_23_2 doi: 10.1109/TPWRS.2009.2030424 – ident: e_1_2_7_2_2 doi: 10.1016/S0378‐7796(96)01103‐0 – ident: e_1_2_7_7_2 doi: 10.1016/S0378‐7796(01)00131‐6 – ident: e_1_2_7_17_2 doi: 10.1109/NAPS.2012.6336350 – ident: e_1_2_7_5_2 doi: 10.1049/ip‐gtd:20030198 – ident: e_1_2_7_11_2 doi: 10.1109/TPWRS.2011.2177673 – ident: e_1_2_7_26_2 doi: 10.1023/A:1008723031056 – ident: e_1_2_7_3_2 doi: 10.1109/59.736232 – ident: e_1_2_7_19_2 doi: 10.1109/59.898087 – ident: e_1_2_7_10_2 doi: 10.1016/j.ijepes.2011.01.032 – ident: e_1_2_7_29_2 doi: 10.1109/TPWRS.2010.2051168 – ident: e_1_2_7_22_2 doi: 10.1109/TPWRS.2009.2031223 – ident: e_1_2_7_8_2 doi: 10.1049/ip‐gtd:20020200 – ident: e_1_2_7_12_2 doi: 10.1109/TPWRS.2010.2102371 |
| SSID | ssj0055647 |
| Score | 2.3192441 |
| Snippet | This study investigates the optimal power flow (OPF) problem for distribution networks with the integration of distributed generation (DG). By considering the... |
| SourceID | proquest pascalfrancis crossref wiley iet |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 261 |
| SubjectTerms | Active control active set method actual 1180‐bus system actual 292‐bus system actual 588‐bus system Algorithms Applied sciences Approximation Deviation DG control optimisation DG integration Distributed generation distributed power generation distribution networks distribution system analysis Electric power plants Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology IEEE 33‐bus system iterative approximation iterative methods linear programming load flow Mathematical models maximum DG active power output minimal line loss minimal voltage deviation Miscellaneous multiobject optimisation problem nonconvex problem objective function normalisation Operation. Load control. Reliability OPF problem optimal power flow algorithm Optimization PG&E 69‐bus system Power flow Power networks and lines primal‐dual interior point method Quadratic programming Sensitivity analysis sequential linear programming method single‐objective optimisation TRSQP method trust‐region sequential quadratic programming method |
| SummonAdditionalLinks | – databaseName: Wiley Online Library Open Access dbid: 24P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pb9MwFH7aBgc48HtatjEZhDggBWonsePjGCsgobFDkXaLbMculbq0ajP27_NekmatkIqEOORivyTyy3v259j-PoA3MkukNBrzWwgVYybyWLs8xDh1NirYUkndHBT-pi4u8qsrfbkDZ6uzMC0_RP_DjTKj6a8pwY1tVUgQ1OJHnPg6HtdE9smT90QTtwv3OE8UhbZIL1fdcZbJRmUMh0ke5zJX_dKm_vDHIzYGp12spq2SZoneCq3MxQYOXUezzXA0fPxfGvIEHnVolJ224fMUdnz1DB6ucRQ-B_cdO5VrNJqTnhoL09ktM9PxbDGpf14zU5V4tbwmbFKxknh4Owkt1rJEM9dpguLj7up9ycYN4zVZvoAfw_PR2Ze4U2aIHdHBxDxznLsg04CABGdM3KpBaYxNjB1wa4M2inuRem18FpTmpQ_YLq_TUjqBMZDsw141q_wBMIyhTPs8GERiqeDGIoYwiVKWqyC0SSIYrD5J4TraclLPmBbN8nmqC_Rfgf4ryH8F-S-Cd_0t85azY5vxWyrrMne5zfD1huHX81HxefTpzqCYlyGCk4146d8vEEhJRFsRHK8CaO2dGeIIUp7H6ld9NeY5Ld6Yys9u0AbTKNMyl3yLDXa2CKdx0hlB0oTc39tPbRAfhyTOKA7_6a4jeIDlabuV_Rj26sWNfwn33a96slycNMn4G2ODN5Y priority: 102 providerName: Wiley-Blackwell |
| Title | Optimal power flow algorithm and analysis in distribution system considering distributed generation |
| URI | http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2013.0389 https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-gtd.2013.0389 https://www.proquest.com/docview/1503682360 https://www.proquest.com/docview/1671596861 https://www.proquest.com/docview/1793226550 |
| Volume | 8 |
| WOSCitedRecordID | wos000331131300006&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: Advanced Technologies & Aerospace Database 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 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 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 – providerCode: PRVWIB databaseName: Wiley Online Library Free Content customDbUrl: eissn: 1751-8695 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: WIN dateStart: 20130101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1751-8695 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055647 issn: 1751-8687 databaseCode: 24P dateStart: 20130101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nj9MwEB3RXQ5w4BsRWCqDEAeksLGT2PEJsdDCSqhUUMSKS-QkdqnUTcs2C3-fmcTttpdy4NAc6klSZz78HLvvAbyQaSyl0ZjfQqgQM5GHusxciFNno1xRKanbPwp_UqNRdnamx_6F28pvq1zXxLZQV4uS3pEfI3CJJalzR2-Wv0JSjaLVVS-h0YNDYirDOD88GYzGX9a1OE1lKzGGYyQPM5mpzbqmPp7ZJpw2RBbK49dEM7czMvWwmfZJmhU-KtdpXOyA0G0o245Fw9v_24s7cMujUPa2C5u7cM3W9-DmFjfhfSg_YzE5R6Ml6agxN1_8YWY-xYs1P8-ZqSv8dHwmbFazivh3vXQW69ihWem1QPFyV-22YtOW6ZosH8C34WDy7mPoFRnCkmhgQp6WnJdOJg6BCM6UeKGiypgiNkXEi8Jpo7gVidXGpk5pXlmHD9bqpJKlQN_HD-GgXtT2ETCMnVTbzBlEYIngpkDsYGKlCq6c0CYOIFp7Iy89XTmpZszzdtk80Tl6KEcH5uTAnBwYwKvNKcuOq2Of8Uv6zmfsap_h8x3D08Ek_zB5f2WQLysXQH8nVDb3Fwig0OFRAEfrgNi65yYaAni2acb8pkUbU9vFJdpg-qRaZpLvscEiizAaJ5sBxG1c_rv_1AdxMiRRRvF4_497AjfwtKTbq34EB83FpX0K18vfzWx10YeeSMZ9n3h92jv7FY_j9Acev5-O_gJ-ZDeP |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9MwGH61dUiMA99ogTEMAg5IYbGT2PEBIcZaVq2UCRVpt-AkdqnUpWXNmPhT_EZe52vtpZx24JBL_Max4_fLsf08AC956HOuJNo3Y8JFS6SuTCPj4tRZCZNkgsvyoPBADIfR6ak82YA_zVkYu62y8Ymlo85mqf1Hvo-Ji88tO7f3fv7TtaxRdnW1odCo1OJY_77EKdviXf8Qx_cVY73u6OORW7MKuKmFMnFpmFKaGh4YDKaY7dNEeJlSia8SjyaJkUpQzQItlQ6NkDTTBoO6lkHGU4bt97HeTdgK_ICHHdg66A5Pvja-Pwx5SWmGMZm6EY9Eu44q9ye6cMeFBSel_lsLa7cSCTex2O7LVAscGlNxaqwkvcupcxn7enf-t692F27XWTb5UJnFPdjQ-X24tYS9-ADSL-gsz1BobnniiJnOLomajrHxxY8zovIMrwqvhUxykll84ZoajFTo1yStuU6xuqtynZFxieRtJR_Ct2vp5SPo5LNc7wBB2wiljozCDDNgVCWYGylfiIQKw6TyHfCa0Y_TGo7dsoJM43JbQCBj1IgYFSa2ChNbhXHgTfvIvMIiWSf82t6rPdJineCLFcF-dxR_Gh1eCcTzzDiwt6Ka7fsZJoioYJ4Du40CLr2z1T4HnrfF6L_sopTK9ewCZdA9hJJHnK6RwSCC0wScTDvgl3bw7_7bPrCDniWdZI_XN-4Z3DwafR7Eg_7w-AlsYxVBtS9_FzrF-YV-CjfSX8Vkcb5XmzuB79dtK38Btw6R3A |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9MwGH61DYTGgW9EYAyDgANSaOwkdnxACOgK1abSQ5EmLsFx7K5Sl5Y1Y-Kv8et4nY-uvZTTDhx6ad46cfO8H47fPA_ASx6HnCuJ_s2Y8NETqS91Yn1cOiths1xwWb0ofCQGg-T4WA634E_7Loxrq2xjYhWo85l2z8g7WLiE3KlzBx3btEUMu73385--U5ByO62tnEYNkUPz-wKXb4t3_S7e61eM9Q5Gn774jcKArx2tiU9jTam2PLKYWLHyp5kIcqWyUGUBzTIrlaCGRUYqE1shaW4sJngjo5xrhnMJcdxtuCYinrh2smH8vc0CccwrcTPMztRPeCKWO6qyMzGlPy4dTSkN3zqCu7WcuI2HXYemWuBNsrW6xlr5u1pEV1mwd_t__v_uwK2m9iYfame5C1umuAc3VxgZ74P-iiH0FI3mTj2O2OnsgqjpGC--PDklqsjxU7O4kElBcsc63AiGkZoTm-hGARWHuzxucjKu-L2d5QP4diWzfAg7xawwj4Cgx8TSJFZh3RkxqjKsmFQoREaFZVKFHgQtElLdkLQ7rZBpWjULRDJFdKQIntSBJ3Xg8eDN8ifzmqFkk_Fr910TpxabDF-sGfYPRunnUffSIJ3n1oP9NZguz8-wbESwBR7stWBcOecSiR48Xx7GqOa2qlRhZudog0EjljzhdIMNphZcPOAS24Ow8ol_z9_NgX3sOSlK9njzxT2DG-gg6VF_cPgEdnGEqG7W34Od8uzcPIXr-lc5WZztV35P4MdVO8pf39qZcQ |
| 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+power+flow+algorithm+and+analysis+in+distribution+system+considering+distributed+generation&rft.jtitle=IET+generation%2C+transmission+%26+distribution&rft.au=WANXING+SHENG&rft.au=LIU%2C+Ke-Yan&rft.au=SHENG+CHENG&rft.date=2014-02-01&rft.pub=Institution+of+Engineering+and+Technology&rft.issn=1751-8687&rft.volume=8&rft.issue=2&rft.spage=261&rft.epage=272&rft_id=info:doi/10.1049%2Fiet-gtd.2013.0389&rft.externalDBID=n%2Fa&rft.externalDocID=28126820 |
| 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 |