Synergy of a genetic algorithm and simulated annealing to maximize real power loss reductions in transmission networks
•Hybrid approaches of GA and hybridized SA with PS to minimize power loss proposed.•Significant loss reductions have been realized with different operating scenarios.•Single line outage and overloading patterns have been examined and analyzed.•Total fuel costs and amount of emissions have been obser...
Saved in:
| Published in: | International journal of electrical power & energy systems Vol. 56; pp. 307 - 315 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford
Elsevier Ltd
01.03.2014
Elsevier |
| Subjects: | |
| ISSN: | 0142-0615, 1879-3517 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | •Hybrid approaches of GA and hybridized SA with PS to minimize power loss proposed.•Significant loss reductions have been realized with different operating scenarios.•Single line outage and overloading patterns have been examined and analyzed.•Total fuel costs and amount of emissions have been observed and reported.•Effects of changing the control variables have been investigated and highlighted.
This manuscript applies a hybrid integrated heuristic approaches to minimize real power losses in the given power system network. Synergy of a genetic algorithm and hybridized simulated annealing with pattern search are proposed to decide the optimum adjustments to the continuous and the discrete control variables. The proposed method has been applied to several transmission networks with different operating scenarios to investigate its effectiveness and applicability. The numerical results and simulations with different load patterns and single line outages have been demonstrated and evaluated. The results achieved show the effectiveness and robustness of the proposed hybrid approach compared to other heuristic methods. |
|---|---|
| AbstractList | This manuscript applies a hybrid integrated heuristic approaches to minimize real power losses in the given power system network. Synergy of a genetic algorithm and hybridized simulated annealing with pattern search are proposed to decide the optimum adjustments to the continuous and the discrete control variables. The proposed method has been applied to several transmission networks with different operating scenarios to investigate its effectiveness and applicability. The numerical results and simulations with different load patterns and single line outages have been demonstrated and evaluated. The results achieved show the effectiveness and robustness of the proposed hybrid approach compared to other heuristic methods. •Hybrid approaches of GA and hybridized SA with PS to minimize power loss proposed.•Significant loss reductions have been realized with different operating scenarios.•Single line outage and overloading patterns have been examined and analyzed.•Total fuel costs and amount of emissions have been observed and reported.•Effects of changing the control variables have been investigated and highlighted. This manuscript applies a hybrid integrated heuristic approaches to minimize real power losses in the given power system network. Synergy of a genetic algorithm and hybridized simulated annealing with pattern search are proposed to decide the optimum adjustments to the continuous and the discrete control variables. The proposed method has been applied to several transmission networks with different operating scenarios to investigate its effectiveness and applicability. The numerical results and simulations with different load patterns and single line outages have been demonstrated and evaluated. The results achieved show the effectiveness and robustness of the proposed hybrid approach compared to other heuristic methods. |
| Author | Othman, Ahmed M. El-Fergany, Attia A. El-Arini, Mahdi M. |
| Author_xml | – sequence: 1 givenname: Attia A. surname: El-Fergany fullname: El-Fergany, Attia A. email: el_fergany@ieee.org – sequence: 2 givenname: Ahmed M. surname: Othman fullname: Othman, Ahmed M. – sequence: 3 givenname: Mahdi M. surname: El-Arini fullname: El-Arini, Mahdi M. |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28312802$$DView record in Pascal Francis |
| BookMark | eNqFUU1v1DAUtFArsW35Bxx8QeKSYDtxvOGAhKryIVXiAJytF_tl8eLYi-1t2f76erUVBw5weh-aGT_PXJCzEAMS8pKzljM-vNm2bos7zK1gvGs5b5kYn5EVX6ux6SRXZ2TFeC8aNnD5nFzkvGWMqbEXK3L39RAwbQ40zhToBgMWZyj4TUyu_FgoBEuzW_YeCto6BQTvwoaWSBf47Rb3gDTVHd3Fe0zUx5zrbPemuBgydYGWBCEvLue6oFX-Pqaf-Yqcz-Azvniql-T7h5tv15-a2y8fP1-_v21MN4yl6aZZMIEjDNCPIxfrSVrOZgCU0zT3tVVWSewlMDB2mqFTCgemponPwHrbXZLXJ91dir_2mIuulxj0HgLGfdZ8UFzKTo6iQl89QSEb8HM927isd8ktkA5arLv6Pjvi-hPOpPrZhPMfCGf6GIfe6lMc-hiH5lzXOCrt7V804wocXaoGOf8_8rsTGatXdw6TzsZhMGhdQlO0je7fAo90bq4a |
| CODEN | IEPSDC |
| CitedBy_id | crossref_primary_10_1016_j_watres_2015_03_023 crossref_primary_10_1007_s42835_019_00144_7 crossref_primary_10_1080_01430750_2024_2345839 crossref_primary_10_1016_j_ijepes_2015_12_026 crossref_primary_10_1080_17509653_2019_1677197 crossref_primary_10_1016_j_ijepes_2014_06_006 |
| Cites_doi | 10.1016/S0142-0615(00)00028-4 10.1016/j.ijepes.2007.06.011 10.1016/j.ijepes.2013.04.021 10.1016/S0142-0615(98)00019-2 10.1109/TPAS.1984.318284 10.1016/j.ijepes.2013.03.016 10.1016/j.ijepes.2011.09.018 10.1016/j.ijepes.2010.12.031 10.1016/j.ijepes.2011.06.003 10.1049/ip-c.1983.0054 10.1016/j.epsr.2008.07.008 10.1016/j.ijepes.2012.06.050 10.1016/j.asoc.2009.08.038 10.1049/iet-gtd.2010.0237 10.1016/0377-2217(90)90001-R 10.1109/59.780938 10.1016/j.ijepes.2012.05.032 10.1109/59.744495 10.1007/s10462-011-9276-0 10.1016/j.asoc.2012.01.006 10.1109/72.265956 10.1049/iet-gtd.2012.0649 10.1109/59.736232 10.1109/TPWRS.1987.4335088 10.1109/TPWRS.2006.879262 10.1016/j.ijepes.2010.01.010 10.1109/TPWRS.2005.846049 10.1016/j.ijepes.2008.04.005 10.1049/iet-gtd.2009.0007 10.1016/j.ijepes.2012.11.019 10.1109/TPWRS.2009.2021226 10.1002/0470020164 |
| ContentType | Journal Article |
| Copyright | 2013 2015 INIST-CNRS |
| Copyright_xml | – notice: 2013 – notice: 2015 INIST-CNRS |
| DBID | AAYXX CITATION IQODW 7SC 7SP 8FD FR3 JQ2 KR7 L7M L~C L~D |
| DOI | 10.1016/j.ijepes.2013.11.029 |
| DatabaseName | CrossRef Pascal-Francis Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Civil Engineering Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Civil Engineering Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Applied Sciences |
| EISSN | 1879-3517 |
| EndPage | 315 |
| ExternalDocumentID | 28312802 10_1016_j_ijepes_2013_11_029 S0142061513004870 |
| GroupedDBID | --K --M .~1 0R~ 0SF 1B1 1~. 1~5 29J 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARJD AAXUO AAYFN ABBOA ABFNM ABJNI ABMAC ABTAH ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AHZHX AI. AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BELTK BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA GBOLZ HVGLF HZ~ IHE J1W JARJE JJJVA K-O KOM LY6 LY7 M41 MO0 O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SAC SDF SDG SDP SES SET SEW SPC SPCBC SSR SST SSV SSZ T5K VH1 WUQ ZMT ZY4 ~02 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO ADVLN AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS GROUPED_DOAJ ~HD BNPGV IQODW SSH 7SC 7SP 8FD FR3 JQ2 KR7 L7M L~C L~D |
| ID | FETCH-LOGICAL-c369t-3bf202e9a6a499128b5d10faae5bbf410f7d75e45a0acdbfa377e607bb1fa04d3 |
| ISICitedReferencesCount | 7 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000332498900032&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0142-0615 |
| IngestDate | Sun Sep 28 12:16:57 EDT 2025 Wed Apr 02 07:15:15 EDT 2025 Sat Nov 29 06:06:13 EST 2025 Tue Nov 18 22:37:12 EST 2025 Fri Feb 23 02:24:45 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Heuristic-based algorithms Optimal power flow Control variables Real loss minimization Performance evaluation Outage Power system stability Electrical network analysis Electrical network Genetic algorithm Transportation network Heuristic method Power losses Simulated annealing Data transmission network Numerical simulation Hybrid model Robustness Effectiveness factor Comparative study |
| Language | English |
| License | CC BY 4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c369t-3bf202e9a6a499128b5d10faae5bbf410f7d75e45a0acdbfa377e607bb1fa04d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 1671553592 |
| PQPubID | 23500 |
| PageCount | 9 |
| ParticipantIDs | proquest_miscellaneous_1671553592 pascalfrancis_primary_28312802 crossref_primary_10_1016_j_ijepes_2013_11_029 crossref_citationtrail_10_1016_j_ijepes_2013_11_029 elsevier_sciencedirect_doi_10_1016_j_ijepes_2013_11_029 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-03-01 |
| PublicationDateYYYYMMDD | 2014-03-01 |
| PublicationDate_xml | – month: 03 year: 2014 text: 2014-03-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford |
| PublicationTitle | International journal of electrical power & energy systems |
| PublicationYear | 2014 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Zirnmerman, Munllo-Sanchez, Gan (b0185) 2005 Sivasubramani, Swarup (b0125) 2011; 33 Bai, Wei (b0120) 2011; 33 Sun, Ashley, Brewer, Hughes, Tinney (b0190) 1984; 103 Venkataramana, Carr, Ramshaw (b0025) 1987; 2 Rezania, Shahidehpour (b0045) 2001; 23 Zhu J. Optimization of Power System Operation. Copyright © 2009 by IEEE. ISBN:978-0-470-29888-6. Subbaraj, Rajnarayanan (b0060) 2009; 79 Eglese (b0170) 1990; 40 Mahadevan, Kannan (b0085) 2010; 10 El-Fergany, El-Arini (b0030) 2012; 7 Momoh, Adapa, El-Hawary (b0035) 1999; 14 Kumari, Maheswarapu (b0065) 2010; 32 Chung, Liang, Wong, Duan (b0095) 2010; 4 Fogen (b0165) 1994; 5 Grudinin (b0050) 1998; 13 Dai, Chen (b0090) 2009; 24 Basu (b0100) 2008; 30 Bhattacharya, Chattopadhyay (b0105) 2011; 5 Goldberg (b0160) 1989 Yan, Liu, Chung, Wong (b0055) 2006; 21 Zhu, Irving, Xu (b0195) 1998; 20 Elangovan (b0020) 1983; 130 Lin, Horng, Lin (b0010) 2012; 34 Ayan, Kılıç (b0140) 2012; 12 Kolahan, Abachizadeh (b0175) 2010; 6 . Hadi Sadat H. Power System Analysis. The McGraw Hill Companies, 1999. Yang, Zhou, Ma, Du (b0015) 2012; 43 Sakthivel, Pandiyan, Marikani, Selvi (b0115) 2013; 2 Sanjeev, Chaturvedi (b0070) 2013; 47 Momoh, Zhu (b0040) 1999; 14 Li, Wang, Li (b0135) 2013; 52 Adaryani, Karami (b0130) 2013; 53 Zhang, Liu (b0080) 2008; 30 Roy, Ghoshal, Thakur (b0110) 2012; 43 Civicioglu, Besdok (b0145) 2013; 39 Esmin, Lambert-Torres, Zambroni de Souza (b0075) 2005; 20 Acha E, Fuerte-Esquivel CR, Ambriz-Pérez H, Angeles-Camacho C. FACTS: Modeling and Simulation in Power Network. ISBN 0-470-85271-2, John Wiley & Sons Ltd., 2004. Yang (10.1016/j.ijepes.2013.11.029_b0015) 2012; 43 Momoh (10.1016/j.ijepes.2013.11.029_b0040) 1999; 14 Goldberg (10.1016/j.ijepes.2013.11.029_b0160) 1989 Li (10.1016/j.ijepes.2013.11.029_b0135) 2013; 52 10.1016/j.ijepes.2013.11.029_b0150 Civicioglu (10.1016/j.ijepes.2013.11.029_b0145) 2013; 39 Chung (10.1016/j.ijepes.2013.11.029_b0095) 2010; 4 10.1016/j.ijepes.2013.11.029_b0155 Lin (10.1016/j.ijepes.2013.11.029_b0010) 2012; 34 Yan (10.1016/j.ijepes.2013.11.029_b0055) 2006; 21 Rezania (10.1016/j.ijepes.2013.11.029_b0045) 2001; 23 Sakthivel (10.1016/j.ijepes.2013.11.029_b0115) 2013; 2 Subbaraj (10.1016/j.ijepes.2013.11.029_b0060) 2009; 79 Bai (10.1016/j.ijepes.2013.11.029_b0120) 2011; 33 Eglese (10.1016/j.ijepes.2013.11.029_b0170) 1990; 40 El-Fergany (10.1016/j.ijepes.2013.11.029_b0030) 2012; 7 Roy (10.1016/j.ijepes.2013.11.029_b0110) 2012; 43 Fogen (10.1016/j.ijepes.2013.11.029_b0165) 1994; 5 10.1016/j.ijepes.2013.11.029_b0180 Ayan (10.1016/j.ijepes.2013.11.029_b0140) 2012; 12 Venkataramana (10.1016/j.ijepes.2013.11.029_b0025) 1987; 2 Elangovan (10.1016/j.ijepes.2013.11.029_b0020) 1983; 130 Dai (10.1016/j.ijepes.2013.11.029_b0090) 2009; 24 Bhattacharya (10.1016/j.ijepes.2013.11.029_b0105) 2011; 5 Adaryani (10.1016/j.ijepes.2013.11.029_b0130) 2013; 53 Sun (10.1016/j.ijepes.2013.11.029_b0190) 1984; 103 10.1016/j.ijepes.2013.11.029_b0005 Basu (10.1016/j.ijepes.2013.11.029_b0100) 2008; 30 10.1016/j.ijepes.2013.11.029_b0200 Sivasubramani (10.1016/j.ijepes.2013.11.029_b0125) 2011; 33 Momoh (10.1016/j.ijepes.2013.11.029_b0035) 1999; 14 Kumari (10.1016/j.ijepes.2013.11.029_b0065) 2010; 32 Grudinin (10.1016/j.ijepes.2013.11.029_b0050) 1998; 13 Sanjeev (10.1016/j.ijepes.2013.11.029_b0070) 2013; 47 Esmin (10.1016/j.ijepes.2013.11.029_b0075) 2005; 20 Zhu (10.1016/j.ijepes.2013.11.029_b0195) 1998; 20 Kolahan (10.1016/j.ijepes.2013.11.029_b0175) 2010; 6 Zhang (10.1016/j.ijepes.2013.11.029_b0080) 2008; 30 Mahadevan (10.1016/j.ijepes.2013.11.029_b0085) 2010; 10 Zirnmerman (10.1016/j.ijepes.2013.11.029_b0185) 2005 |
| References_xml | – volume: 21 start-page: 1163 year: 2006 end-page: 1169 ident: b0055 article-title: A hybrid genetic algorithm-interior point method for optimal reactive power flow publication-title: IEEE Trans Power Syst – volume: 5 start-page: 3 year: 1994 end-page: 14 ident: b0165 article-title: An introduction to simulated evolutionary optimisation publication-title: IEEE Trans Neural Networks – volume: 32 start-page: 736 year: 2010 end-page: 742 ident: b0065 article-title: Enhanced genetic algorithm based computation technique for multi-objective optimal power flow solution publication-title: Int J Electric Power Energy Syst – volume: 33 start-page: 1309 year: 2011 end-page: 1314 ident: b0120 article-title: A semi definite programming method with graph partitioning technique for optimal power flow problems publication-title: Int J Electr Power Energy Syst – reference: Zhu J. Optimization of Power System Operation. Copyright © 2009 by IEEE. ISBN:978-0-470-29888-6. – volume: 33 start-page: 745 year: 2011 end-page: 752 ident: b0125 article-title: Multi-objective harmony search algorithm for optimal power flow problem publication-title: Int J Electr Power Energy Syst – year: 2005 ident: b0185 article-title: Matpower-Power system simulation package, version 3 0, Power systems Engineering Research Center (PSERC) – volume: 13 start-page: 1219 year: 1998 end-page: 1225 ident: b0050 article-title: Reactive power optimization using successive quadratic programming method publication-title: IEEE Trans Power Syst – volume: 10 start-page: 641 year: 2010 end-page: 652 ident: b0085 article-title: Comprehensive learning particle swarm optimization for reactive power dispatch publication-title: Appl Soft Comput – volume: 14 start-page: 105 year: 1999 end-page: 111 ident: b0035 article-title: A review of selected optimal power flow literature to 1993, part II: Newton, linear programming and interior point methods publication-title: IEEE Trans Power Syst – volume: 47 start-page: 416 year: 2013 end-page: 423 ident: b0070 article-title: Optimal power flow solution using fuzzy evolutionary and swarm optimization publication-title: Int J Elect Power Energy Syst – volume: 30 start-page: 525 year: 2008 end-page: 532 ident: b0080 article-title: Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm publication-title: Int J Electr Power Energy Syst – volume: 5 start-page: 70 year: 2011 end-page: 80 ident: b0105 article-title: Application of biogeography-based optimization to solve different optimal power flow problems publication-title: IET Gener Transm Distrib – volume: 6 start-page: 149 year: 2010 end-page: 152 ident: b0175 article-title: Optimizing turning parameters for cylindrical parts using simulated annealing method publication-title: Int J Eng Appl Sci – volume: 43 start-page: 670 year: 2012 end-page: 679 ident: b0015 article-title: Asymptotic numerical method for continuation power flow publication-title: Int J Electr Power Energy Syst – volume: 2 start-page: 138 year: 1987 end-page: 144 ident: b0025 article-title: Optimal reactive power allocation publication-title: IEEE Trans Power Syst – volume: 20 start-page: 533 year: 1998 end-page: 538 ident: b0195 article-title: A new approach to secure economic power dispatch publication-title: Int J Electr Power Energy Syst – volume: 12 start-page: 1477 year: 2012 end-page: 1482 ident: b0140 article-title: Artificial bee colony algorithm solution for optimal reactive power flow publication-title: Appl Soft Comput – volume: 14 start-page: 1114 year: 1999 end-page: 1120 ident: b0040 article-title: Improved interior point method for OPF problems publication-title: IEEE Trans Power Syst – volume: 30 start-page: 150 year: 2008 end-page: 156 ident: b0100 article-title: Optimal power flow with FACTS devices using differential evolution publication-title: Int J Electr Power Energy Syst – volume: 2 start-page: 41 year: 2013 end-page: 47 ident: b0115 article-title: Application of big-bang big-crunch algorithm for optimal power flow problems publication-title: Int J Eng Sci – volume: 7 start-page: 613 year: 2012 end-page: 619 ident: b0030 article-title: Meta-heuristic algorithms-based real power loss minimisation including line thermal overloading constraints publication-title: IET Gener Transm Distrib – reference: Hadi Sadat H. Power System Analysis. The McGraw Hill Companies, 1999. – volume: 52 start-page: 25 year: 2013 end-page: 33 ident: b0135 article-title: A hybrid artificial bee colony assisted differential evolution algorithm for optimal reactive power flow publication-title: Int J Electr Power Energy Syst – reference: Acha E, Fuerte-Esquivel CR, Ambriz-Pérez H, Angeles-Camacho C. FACTS: Modeling and Simulation in Power Network. ISBN 0-470-85271-2, John Wiley & Sons Ltd., 2004. – volume: 40 start-page: 271 year: 1990 end-page: 281 ident: b0170 article-title: Simulated annealing: a tool for operational research publication-title: European J Oper Res – volume: 103 start-page: 2864 year: 1984 end-page: 2880 ident: b0190 article-title: Optimal power flow by Newton approach publication-title: IEEE Trans Power Apparat Syst – volume: 4 start-page: 84 year: 2010 end-page: 93 ident: b0095 article-title: Hybrid algorithm for differential evolution and evolutionary programming for optimal reactive power flow publication-title: IET Gener Transm Distrib – volume: 53 start-page: 219 year: 2013 end-page: 230 ident: b0130 article-title: Artificial bee colony algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electr Power Energy Syst – reference: . – volume: 130 start-page: 295 year: 1983 end-page: 299 ident: b0020 article-title: New approach for real power loss minimization publication-title: IEE Proc Gener Transm Distrib – volume: 23 start-page: 45 year: 2001 end-page: 56 ident: b0045 article-title: Real power loss minimization using interior point method publication-title: Int J Electr Power Energy Syst – volume: 24 start-page: 1218 year: 2009 end-page: 1231 ident: b0090 article-title: Seeker optimization algorithm for optimal reactive power dispatch publication-title: IEEE Trans Power Syst – volume: 43 start-page: 830 year: 2012 end-page: 838 ident: b0110 article-title: Optimal VAR control for improvements in voltage profiles and for real power loss minimization using biogeography based optimization publication-title: Int J Electr Power Energy Syst – volume: 34 start-page: 145 year: 2012 end-page: 153 ident: b0010 article-title: Embedding sensitivity theory in ordinal optimization for decentralized optimal power flow control publication-title: Int J Electr Power Energy Syst – volume: 79 start-page: 374 year: 2009 end-page: 381 ident: b0060 article-title: Optimal reactive power dispatch using self-adaptive real coded genetic algorithm publication-title: Electr Power Syst Res – year: 1989 ident: b0160 article-title: Genetic algorithms in search, optimization and machine learning – volume: 20 start-page: 859 year: 2005 end-page: 866 ident: b0075 article-title: A hybrid particle swarm optimization applied to loss power minimization publication-title: IEEE Trans Power Syst – volume: 39 start-page: 315 year: 2013 end-page: 346 ident: b0145 article-title: A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms publication-title: Artif Intell Rev – volume: 6 start-page: 149 issue: 3 year: 2010 ident: 10.1016/j.ijepes.2013.11.029_b0175 article-title: Optimizing turning parameters for cylindrical parts using simulated annealing method publication-title: Int J Eng Appl Sci – volume: 23 start-page: 45 issue: 1 year: 2001 ident: 10.1016/j.ijepes.2013.11.029_b0045 article-title: Real power loss minimization using interior point method publication-title: Int J Electr Power Energy Syst doi: 10.1016/S0142-0615(00)00028-4 – volume: 30 start-page: 150 issue: 2 year: 2008 ident: 10.1016/j.ijepes.2013.11.029_b0100 article-title: Optimal power flow with FACTS devices using differential evolution publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2007.06.011 – volume: 53 start-page: 219 issue: 1 year: 2013 ident: 10.1016/j.ijepes.2013.11.029_b0130 article-title: Artificial bee colony algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2013.04.021 – volume: 20 start-page: 533 issue: 8 year: 1998 ident: 10.1016/j.ijepes.2013.11.029_b0195 article-title: A new approach to secure economic power dispatch publication-title: Int J Electr Power Energy Syst doi: 10.1016/S0142-0615(98)00019-2 – volume: 103 start-page: 2864 issue: 10 year: 1984 ident: 10.1016/j.ijepes.2013.11.029_b0190 article-title: Optimal power flow by Newton approach publication-title: IEEE Trans Power Apparat Syst doi: 10.1109/TPAS.1984.318284 – ident: 10.1016/j.ijepes.2013.11.029_b0005 – volume: 2 start-page: 41 issue: 4 year: 2013 ident: 10.1016/j.ijepes.2013.11.029_b0115 article-title: Application of big-bang big-crunch algorithm for optimal power flow problems publication-title: Int J Eng Sci – ident: 10.1016/j.ijepes.2013.11.029_b0150 – volume: 52 start-page: 25 year: 2013 ident: 10.1016/j.ijepes.2013.11.029_b0135 article-title: A hybrid artificial bee colony assisted differential evolution algorithm for optimal reactive power flow publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2013.03.016 – volume: 34 start-page: 145 issue: 1 year: 2012 ident: 10.1016/j.ijepes.2013.11.029_b0010 article-title: Embedding sensitivity theory in ordinal optimization for decentralized optimal power flow control publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2011.09.018 – volume: 33 start-page: 745 issue: 3 year: 2011 ident: 10.1016/j.ijepes.2013.11.029_b0125 article-title: Multi-objective harmony search algorithm for optimal power flow problem publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2010.12.031 – volume: 33 start-page: 1309 issue: 7 year: 2011 ident: 10.1016/j.ijepes.2013.11.029_b0120 article-title: A semi definite programming method with graph partitioning technique for optimal power flow problems publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2011.06.003 – volume: 130 start-page: 295 issue: 6 year: 1983 ident: 10.1016/j.ijepes.2013.11.029_b0020 article-title: New approach for real power loss minimization publication-title: IEE Proc Gener Transm Distrib doi: 10.1049/ip-c.1983.0054 – volume: 79 start-page: 374 issue: 2 year: 2009 ident: 10.1016/j.ijepes.2013.11.029_b0060 article-title: Optimal reactive power dispatch using self-adaptive real coded genetic algorithm publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2008.07.008 – ident: 10.1016/j.ijepes.2013.11.029_b0200 – volume: 43 start-page: 670 issue: 1 year: 2012 ident: 10.1016/j.ijepes.2013.11.029_b0015 article-title: Asymptotic numerical method for continuation power flow publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2012.06.050 – volume: 10 start-page: 641 issue: 2 year: 2010 ident: 10.1016/j.ijepes.2013.11.029_b0085 article-title: Comprehensive learning particle swarm optimization for reactive power dispatch publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2009.08.038 – volume: 5 start-page: 70 issue: 1 year: 2011 ident: 10.1016/j.ijepes.2013.11.029_b0105 article-title: Application of biogeography-based optimization to solve different optimal power flow problems publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2010.0237 – volume: 40 start-page: 271 year: 1990 ident: 10.1016/j.ijepes.2013.11.029_b0170 article-title: Simulated annealing: a tool for operational research publication-title: European J Oper Res doi: 10.1016/0377-2217(90)90001-R – volume: 14 start-page: 1114 year: 1999 ident: 10.1016/j.ijepes.2013.11.029_b0040 article-title: Improved interior point method for OPF problems publication-title: IEEE Trans Power Syst doi: 10.1109/59.780938 – year: 2005 ident: 10.1016/j.ijepes.2013.11.029_b0185 – volume: 43 start-page: 830 issue: 1 year: 2012 ident: 10.1016/j.ijepes.2013.11.029_b0110 article-title: Optimal VAR control for improvements in voltage profiles and for real power loss minimization using biogeography based optimization publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2012.05.032 – ident: 10.1016/j.ijepes.2013.11.029_b0180 – volume: 14 start-page: 105 issue: 1 year: 1999 ident: 10.1016/j.ijepes.2013.11.029_b0035 article-title: A review of selected optimal power flow literature to 1993, part II: Newton, linear programming and interior point methods publication-title: IEEE Trans Power Syst doi: 10.1109/59.744495 – volume: 39 start-page: 315 issue: 4 year: 2013 ident: 10.1016/j.ijepes.2013.11.029_b0145 article-title: A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms publication-title: Artif Intell Rev doi: 10.1007/s10462-011-9276-0 – volume: 12 start-page: 1477 issue: 5 year: 2012 ident: 10.1016/j.ijepes.2013.11.029_b0140 article-title: Artificial bee colony algorithm solution for optimal reactive power flow publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2012.01.006 – volume: 5 start-page: 3 issue: 1 year: 1994 ident: 10.1016/j.ijepes.2013.11.029_b0165 article-title: An introduction to simulated evolutionary optimisation publication-title: IEEE Trans Neural Networks doi: 10.1109/72.265956 – volume: 7 start-page: 613 issue: 6 year: 2012 ident: 10.1016/j.ijepes.2013.11.029_b0030 article-title: Meta-heuristic algorithms-based real power loss minimisation including line thermal overloading constraints publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2012.0649 – volume: 13 start-page: 1219 issue: 4 year: 1998 ident: 10.1016/j.ijepes.2013.11.029_b0050 article-title: Reactive power optimization using successive quadratic programming method publication-title: IEEE Trans Power Syst doi: 10.1109/59.736232 – volume: 2 start-page: 138 issue: 1 year: 1987 ident: 10.1016/j.ijepes.2013.11.029_b0025 article-title: Optimal reactive power allocation publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.1987.4335088 – year: 1989 ident: 10.1016/j.ijepes.2013.11.029_b0160 – volume: 21 start-page: 1163 issue: 3 year: 2006 ident: 10.1016/j.ijepes.2013.11.029_b0055 article-title: A hybrid genetic algorithm-interior point method for optimal reactive power flow publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2006.879262 – volume: 32 start-page: 736 issue: 6 year: 2010 ident: 10.1016/j.ijepes.2013.11.029_b0065 article-title: Enhanced genetic algorithm based computation technique for multi-objective optimal power flow solution publication-title: Int J Electric Power Energy Syst doi: 10.1016/j.ijepes.2010.01.010 – volume: 20 start-page: 859 issue: 2 year: 2005 ident: 10.1016/j.ijepes.2013.11.029_b0075 article-title: A hybrid particle swarm optimization applied to loss power minimization publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2005.846049 – volume: 30 start-page: 525 issue: 9 year: 2008 ident: 10.1016/j.ijepes.2013.11.029_b0080 article-title: Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2008.04.005 – volume: 4 start-page: 84 issue: 1 year: 2010 ident: 10.1016/j.ijepes.2013.11.029_b0095 article-title: Hybrid algorithm for differential evolution and evolutionary programming for optimal reactive power flow publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2009.0007 – volume: 47 start-page: 416 year: 2013 ident: 10.1016/j.ijepes.2013.11.029_b0070 article-title: Optimal power flow solution using fuzzy evolutionary and swarm optimization publication-title: Int J Elect Power Energy Syst doi: 10.1016/j.ijepes.2012.11.019 – volume: 24 start-page: 1218 issue: 3 year: 2009 ident: 10.1016/j.ijepes.2013.11.029_b0090 article-title: Seeker optimization algorithm for optimal reactive power dispatch publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2021226 – ident: 10.1016/j.ijepes.2013.11.029_b0155 doi: 10.1002/0470020164 |
| SSID | ssj0007942 |
| Score | 2.0800488 |
| Snippet | •Hybrid approaches of GA and hybridized SA with PS to minimize power loss proposed.•Significant loss reductions have been realized with different operating... This manuscript applies a hybrid integrated heuristic approaches to minimize real power losses in the given power system network. Synergy of a genetic... |
| SourceID | proquest pascalfrancis crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 307 |
| SubjectTerms | Applied sciences Control variables Disturbances. Regulation. Protection Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Genetic algorithms Heuristic methods Heuristic-based algorithms Mathematical analysis Mathematical models Miscellaneous Networks Operation. Load control. Reliability Optimal power flow Power loss Power networks and lines Real loss minimization Simulated annealing |
| Title | Synergy of a genetic algorithm and simulated annealing to maximize real power loss reductions in transmission networks |
| URI | https://dx.doi.org/10.1016/j.ijepes.2013.11.029 https://www.proquest.com/docview/1671553592 |
| Volume | 56 |
| WOSCitedRecordID | wos000332498900032&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-3517 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007942 issn: 0142-0615 databaseCode: AIEXJ dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwELbKLgcQQjxFeayMxJ6qrPKsm2MFrQCtukh0pd4iO7a3qdqkNNmq8HP4pczESZpVhXY5cElTy3nU89UzHs_MR8iHWNpKeyK2mFQOeqsGlrC5spQvHVc40BrIkmyCTSaD2Sz81un8rnNhtkuWpoPdLlz_V1FDGwgbU2f_QdzNTaEBzkHocASxw_FOgv_-06TzlYmP0EuVJVmXV9kmKeaGECNPVsjapbBMawqWYpkylfVWfJeskl9IpIL5Wcif1luCEoXv0hSZLYNnC1RvAA_0s_VSE0aet43cm17GVm0Kw7lTwsLcHXGnzOvmrdLpZSyJNVaYJ1qCYFgUSaM_LuBnGLftcL6qcrPMFUPcjjIZSHOZtB0ajr-P6Gp8nC4STgTtSTpoz7KeIcqtFLZneh7oAuOWWJwlC7VWWJnd8c6wYGvlYblRentyEY0vz8-j6Wg2PfXG6x8W8pLh_v2p98lg5B45dlkQwsx5PPwymn1t9D3MaK4JlDWvXSdollGEhw__mwH0aM1zGH9t-FQOTIPS3pk-IY-rhQodGoA9JR2VPiMPW-Urn5NtBTWaacppBTXaQI0C1GgDNdpAjRYZraFGEWq0BANFqNE91GiS0jbUaA21F-RyPJp-_GxVPB5W7PXDwvKEdm1XhbzPYX0NBpEIpGNrzlUghPbhlEkWKD_gNo-l0NxjTPVtJoSjue1L7yU5SrNUvSJUOK52NOsz15a-L_yQhVppHvvw6TJpd4lXD24UV0XukWtlGdXRjIvIiCRCkcD6NwKRdInVXLU2RV5u6c9quUWVoWoM0Aiwd8uVJzfE3DwOrHwYGNvtkve13CMYXty946nKrvPI6TPk-ApC9_Ud-rwhD_b_rbfkqNhcq3fkfrwtknxzUkH4DxA11Qg |
| 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=Synergy+of+a+genetic+algorithm+and+simulated+annealing+to+maximize+real+power+loss+reductions+in+transmission+networks&rft.jtitle=International+journal+of+electrical+power+%26+energy+systems&rft.au=El-Fergany%2C+Attia&rft.au=Othman%2C+Ahmed&rft.au=El-Arini%2C+Mahdi&rft.date=2014-03-01&rft.issn=0142-0615&rft.volume=56&rft.spage=307&rft.epage=315&rft_id=info:doi/10.1016%2Fj.ijepes.2013.11.029&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0142-0615&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0142-0615&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0142-0615&client=summon |