Modified adaptive differential evolution based optimal operation and security of AC-DC microgrid systems
•A novel approach is proposed to formulate OPF problem on AC-DC microgrids as a traditional AC OPF problem.•A modified adaptive differential evolution algorithm is proposed for solving the non-convex AC-DC OPF problem.•To tackle the converter equations, the AC and DC side buses of each converter are...
Uloženo v:
| Vydáno v: | International journal of electrical power & energy systems Ročník 103; s. 185 - 202 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.12.2018
|
| Témata: | |
| ISSN: | 0142-0615, 1879-3517 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •A novel approach is proposed to formulate OPF problem on AC-DC microgrids as a traditional AC OPF problem.•A modified adaptive differential evolution algorithm is proposed for solving the non-convex AC-DC OPF problem.•To tackle the converter equations, the AC and DC side buses of each converter are merged to have an equivalent AC bus in the system.•Simulations are carried out on the IEEE 30-and 39-bus systems connected to 6-bus and 9-bus DC microgrids to illustrate the proposed approach.
The recent advancement in power electronic systems has enabled the formation of AC-DC microgrids by integration of DC microgrids into conventional AC grid. In this paper, an approach for optimal power flow (OPF) problem formulation in AC-DC microgrid networks is proposed. In the formulated AC-DC microgrid OPF problem, the objective functions considered for minimization are the total cost of generation in both the AC and DC networks and the cost of active power transfer from the AC grid to the DC microgrid. The OPF problem is subject to the limits of voltage magnitudes, power flows, and the AC-DC power electronic converter's limits. This paper also presents an approach to reformulate the nonlinear AC-DC OPF problem as an equivalent traditional AC OPF problem. A modified adaptive differential evolution algorithm is proposed to solve the non-convex AC OPF problem, Simulation studies are performed on an IEEE 30-bus and IEEE 39-bus test system connected to 6-bus and 9-bus DC microgrids under both normal operation and network contingency conditions. The results obtained on the test systems by the proposed approach confirm the validity of the developed approach. |
|---|---|
| AbstractList | •A novel approach is proposed to formulate OPF problem on AC-DC microgrids as a traditional AC OPF problem.•A modified adaptive differential evolution algorithm is proposed for solving the non-convex AC-DC OPF problem.•To tackle the converter equations, the AC and DC side buses of each converter are merged to have an equivalent AC bus in the system.•Simulations are carried out on the IEEE 30-and 39-bus systems connected to 6-bus and 9-bus DC microgrids to illustrate the proposed approach.
The recent advancement in power electronic systems has enabled the formation of AC-DC microgrids by integration of DC microgrids into conventional AC grid. In this paper, an approach for optimal power flow (OPF) problem formulation in AC-DC microgrid networks is proposed. In the formulated AC-DC microgrid OPF problem, the objective functions considered for minimization are the total cost of generation in both the AC and DC networks and the cost of active power transfer from the AC grid to the DC microgrid. The OPF problem is subject to the limits of voltage magnitudes, power flows, and the AC-DC power electronic converter's limits. This paper also presents an approach to reformulate the nonlinear AC-DC OPF problem as an equivalent traditional AC OPF problem. A modified adaptive differential evolution algorithm is proposed to solve the non-convex AC OPF problem, Simulation studies are performed on an IEEE 30-bus and IEEE 39-bus test system connected to 6-bus and 9-bus DC microgrids under both normal operation and network contingency conditions. The results obtained on the test systems by the proposed approach confirm the validity of the developed approach. |
| Author | Bharothu, Jyothilal Nayak Rao, R. Srinivasa Sridhar, M. |
| Author_xml | – sequence: 1 givenname: Jyothilal Nayak surname: Bharothu fullname: Bharothu, Jyothilal Nayak email: naik.jb2017@gmail.com – sequence: 2 givenname: M. surname: Sridhar fullname: Sridhar, M. – sequence: 3 givenname: R. Srinivasa surname: Rao fullname: Rao, R. Srinivasa |
| BookMark | eNqFUMtOwzAQtFCRaAt_wCE_kLB24jw4IFXlKRVxgbPl2mtw1MaV7Vbq3-O2nDjAabW7M7szMyGjwQ1IyDWFggKtb_rC9rjBUDCgbQG8ACjPyJi2TZeXnDYjMgZasRxqyi_IJIQeAJquYmPy9eq0NRZ1JrXcRLvDLPUGPQ7RylWGO7faRuuGbClDQrmEWae526CXx7kcdBZQbb2N-8yZbDbP7-fZ2irvPr1Nu32IuA6X5NzIVcCrnzolH48P7_PnfPH29DKfLXJVQh1zwxm2DNqO60oqbkqKTZnEI20405wb1nSt4k3LdA1gTMklZ0yD6TpTLSteTsnt6W76H4JHI5SNR6XRS7sSFMQhM9GLU2bikJkALlJmiVz9Im98suv3_9HuTjRMxnYWvQjK4qBQW48qCu3s3we-ASqBi74 |
| CitedBy_id | crossref_primary_10_1016_j_rser_2019_109523 crossref_primary_10_1186_s43067_021_00035_w crossref_primary_10_1016_j_energy_2020_117014 crossref_primary_10_1016_j_ijepes_2020_105885 crossref_primary_10_3390_en11123439 crossref_primary_10_1016_j_ijepes_2021_106823 crossref_primary_10_1016_j_renene_2024_120641 crossref_primary_10_1007_s11277_021_08711_w crossref_primary_10_3390_en16155799 crossref_primary_10_1007_s00521_024_10722_0 crossref_primary_10_1016_j_jocs_2023_101985 crossref_primary_10_3390_en18143852 crossref_primary_10_3390_en13040957 crossref_primary_10_3390_en16073153 crossref_primary_10_1016_j_ins_2021_03_016 crossref_primary_10_1038_s41598_024_69734_4 crossref_primary_10_3390_sym17071140 |
| Cites_doi | 10.1126/science.220.4598.671 10.1109/ICMSS.2010.5578512 10.1109/MCAS.2008.928420 10.1016/j.ijepes.2015.12.021 10.1016/S0142-0615(01)00067-9 10.1049/ip-gtd:20050076 10.1155/2013/969734 10.1016/j.epsr.2008.10.004 10.1109/MIE.2010.938720 10.1016/j.jare.2011.06.004 10.1109/TEVC.2008.919004 10.1061/(ASCE)0733-9496(2003)129:3(210) 10.1080/15325000252888425 10.1109/59.476058 10.1109/PES.2010.5589968 10.1109/TPWRD.1986.4308013 10.1109/TPWRS.2002.1007886 10.1016/j.ijepes.2014.10.027 10.1016/j.epsr.2006.09.003 10.1287/ijoc.1.3.190 10.1109/TPEL.2008.2001910 10.1109/TEVC.2008.2009457 10.1109/POWERENG.2009.4915212 10.1109/TPWRS.2010.2068579 10.1016/j.enconman.2008.06.014 10.1016/j.energy.2014.10.007 10.1109/TPWRS.2006.879234 10.1080/15325008.2015.1115919 10.1109/59.667380 10.1023/A:1024653025686 10.1109/59.141687 10.1109/TPWRS.2003.811002 10.1016/j.asoc.2014.08.056 10.1109/TPAS.1974.293972 10.1016/j.energy.2014.06.026 10.1109/TPWRS.2012.2236366 10.1080/15325008.2014.949912 10.1109/TPWRS.2010.2051168 10.1016/j.ijepes.2013.04.021 10.1109/TPWRS.2009.2034525 10.1016/j.ijepes.2010.12.031 10.1109/59.780938 10.1109/TPWRS.2003.814889 10.1109/SmartGridComm.2014.7007621 10.1109/59.801880 10.1016/j.enconman.2014.06.088 10.1109/TEVC.2008.927706 10.1109/TPAS.1979.319296 10.1109/PSCE.2009.4840099 |
| ContentType | Journal Article |
| Copyright | 2018 Elsevier Ltd |
| Copyright_xml | – notice: 2018 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ijepes.2018.05.003 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1879-3517 |
| EndPage | 202 |
| ExternalDocumentID | 10_1016_j_ijepes_2018_05_003 S0142061518302242 |
| 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 |
| ID | FETCH-LOGICAL-c306t-f52e820895d4ac5f31e73014e1752d55f2798c5782d600ff35a522d0f99f4b453 |
| ISICitedReferencesCount | 19 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000439746200019&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 | Sat Nov 29 07:25:29 EST 2025 Tue Nov 18 21:25:50 EST 2025 Fri Feb 23 02:47:55 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Differential evolution Optimal power flow Modified adaptive differential evolution Power system security AC-DC networks |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c306t-f52e820895d4ac5f31e73014e1752d55f2798c5782d600ff35a522d0f99f4b453 |
| PageCount | 18 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_ijepes_2018_05_003 crossref_primary_10_1016_j_ijepes_2018_05_003 elsevier_sciencedirect_doi_10_1016_j_ijepes_2018_05_003 |
| PublicationCentury | 2000 |
| PublicationDate | December 2018 2018-12-00 |
| PublicationDateYYYYMMDD | 2018-12-01 |
| PublicationDate_xml | – month: 12 year: 2018 text: December 2018 |
| PublicationDecade | 2010 |
| PublicationTitle | International journal of electrical power & energy systems |
| PublicationYear | 2018 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Bhattacharya, Chattopadhyay (b0155) 2010; 25 Corne D, Dorigo M, Glover F. New ideas in optimization. London, U.K.: McGraw-Hill Education; 1999. p. 102. Chen, Chang (b0110) 1995; 10 Bakirtzis Anastasios (b0325) 2002; 17 Bouchekara, Abido (b0180) 2014; 42 Jabr (b0075) 2006; 21 Abido (b0270) 2002; 24 Frank, Steponavice, Rebennak (b0085) 2012; 3 Goldberg (b0105) 1989 Zimmerman RD, Gan D. MATPOWER, a MATLAB power system simulation package. Ithaca (NY): Power System Engineering Research Center, Cornell Univ.; 1997. [Online]. Available Bouktir, Slimani, Mahdad (b0320) 2008; 28 Baradar, Ghandhari (b0060) 2013; 28 Kessel, Glavitsch (b0055) 1986; 1 Pezzinia, Gomis-Bellmunt, Sudrià-Andreua (b0100) 2011 Glover JD, Sarma MS, Overbye T. Power system analysis and design, 5th ed. CT: Cengage Learning; 2011. Mojtaba, Sahand, Ebrahim, Azizi (b0205) 2014; 73 Berizzi, Finazzi, Dosi, Marannino, Corsi (b0050) 1998; 13 Abido (b0305) 2002; 30 Barklund, Pogaku, Prodanovic, Hernandez-Aramburo, Green (b0010) 2008; 23 Zhifeng Q, Deconinck, G., Belmans, R. A literature survey of optimal power flow problems in the electricity market context. Power systems conf and exposition; March 2009. p. 1–6. Erickson, Maksimovic (b0235) 2001 Beerten J, Cole S, Belmans R. A sequential AC-DC power flow algorithm for networks containing multi-terminal VSC HVDC systems. In: Proc of IEEE power and energy society general meeting (PES), Minneapolis, MN; July 2010. . Storn R, Price K. Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. Berkeley (CA): International Computer Science Institute; 1995 [Tech. Rep. TR-95–012]. AlRashidi, El-Hawary (b0025) 2009; 79 Glover (b0115) 1986; 1 Slimani, Bouktir (b0330) 2007; 3 Sttot, Marinho (b0080) 1979; 98 U.S. Energy Information Administration (EIA). [Online]. Available Nguyen, Pai (b0355) 2003; 18 Zhang, Petousis, Godfrey (b0295) 2005; 152 Vasquez, Guerrero, Miret, Castilla, deVicuña (b0005) 2010; 4 Costa, Costa (b0310) 2007; 77 Antonio (b0020) 2003 Zimmerman, Murillo-Sanchez, Thomas (b0290) 2011; 26 Li C, Zhao H, Chen T. The hybrid differential evolution algorithm for optimal power flow based on simulated annealing and tabu search. In: International conference of the IEEE manage serv sci; 2010. p. 1–7. Nobahari H, Nikusokhan M, Siarry P. Non-dominated sorting gravitational search algorithm. In: ICSI 2011: International conference on swarm intelligence; 2011. Choi, Ahn, An (b0230) 2013 Abbasss (b0215) 2001 Momoh, Zhu (b0095) 1999; 14 Gaing (b0130) 2003; 18 Bouchekara (b0175) 2014; 24 Fouad, Vittal (b0350) 1992 Mojtaba, Sahand, Mohammad, Masihallah, Ali (b0200) 2014; 78 Bahrami Shahab, Wong Vincent WS, Jatskevich Juri. Optimal power flow for AC-DC networks. In: IEEE international conference on smart grid communications; 2014. p. 49–54. Bouchekara, Abido, Chaib, Mehasni (b0210) 2014; 87 Kadir, Volkan (b0185) 2016; 79 Rezaei Adaryani, Karami (b0340) 2013; 53 Lof, Smed, Andersson, Hill (b0045) 1992; 7 Fan, Lampinen (b0260) 2003; 27 Price, Storn, Lampinen (b0135) 2005 Simon (b0150) 2008; 12 Yuryevich, Wong (b0125) 1999; 14 Saini, Chaturvedi, Saxena (b0335) 2006; 5 Akay, Karaboga (b0160) 2010 Eusuff, Lansey (b0165) 2003; 129 Bouchekara, Abido, Chaib (b0190) 2016; 44 Mansour (b0040) 1990 Wood, Wollenberg (b0090) 1984 Kirkpatrick, Gelatt, Vecchi (b0120) 1983; 220 Qin, Huang, Suganthan (b0250) 2009; 13 Das, Abraham, Chakraborty, Konar (b0255) 2009; 13 Mohamed, Sabry, Khorshid (b0225) 2012; 3 University of Washington. Power systems test case archive. [Online]. Available Sivasubramani, Swarup (b0140) 2011; 33 Karaboga D. An idea based on honey bee swarm for numerical optimization. Technical report-TR06. Erciyes University of Engineering, Faculty of Computer Engineering Department; 2005. Arai, Iba, Funabashi, Nakanishi, Koyanagi, Yokoyama (b0015) 2008; 8 Mojtaba, Sahand, Mohsen, Ebrahim (b0195) 2015; 65 Alsac, Stott (b0275) 1974; 93 Sayah, Zehar (b0315) 2008; 49 Liu, Zhang, Hou, Wu, Liu (b0070) 2011; 26 Abido MA, Al Ali NA. Multi-objective differential evolution for optimal power flow. International conference on power engineering, energy and electrical drives, POWERENG’09, IEEE; 2009. p. 101–6. Abaci, Yamacli (b0345) 2016; 79 Abido (10.1016/j.ijepes.2018.05.003_b0270) 2002; 24 Mojtaba (10.1016/j.ijepes.2018.05.003_b0205) 2014; 73 10.1016/j.ijepes.2018.05.003_b0280 Bouchekara (10.1016/j.ijepes.2018.05.003_b0190) 2016; 44 Qin (10.1016/j.ijepes.2018.05.003_b0250) 2009; 13 Slimani (10.1016/j.ijepes.2018.05.003_b0330) 2007; 3 10.1016/j.ijepes.2018.05.003_b0360 Das (10.1016/j.ijepes.2018.05.003_b0255) 2009; 13 Kirkpatrick (10.1016/j.ijepes.2018.05.003_b0120) 1983; 220 Lof (10.1016/j.ijepes.2018.05.003_b0045) 1992; 7 Chen (10.1016/j.ijepes.2018.05.003_b0110) 1995; 10 Gaing (10.1016/j.ijepes.2018.05.003_b0130) 2003; 18 10.1016/j.ijepes.2018.05.003_b0035 Kadir (10.1016/j.ijepes.2018.05.003_b0185) 2016; 79 Zimmerman (10.1016/j.ijepes.2018.05.003_b0290) 2011; 26 Bouktir (10.1016/j.ijepes.2018.05.003_b0320) 2008; 28 Baradar (10.1016/j.ijepes.2018.05.003_b0060) 2013; 28 10.1016/j.ijepes.2018.05.003_b0030 Goldberg (10.1016/j.ijepes.2018.05.003_b0105) 1989 Zhang (10.1016/j.ijepes.2018.05.003_b0295) 2005; 152 Simon (10.1016/j.ijepes.2018.05.003_b0150) 2008; 12 Saini (10.1016/j.ijepes.2018.05.003_b0335) 2006; 5 Akay (10.1016/j.ijepes.2018.05.003_b0160) 2010 Alsac (10.1016/j.ijepes.2018.05.003_b0275) 1974; 93 Sayah (10.1016/j.ijepes.2018.05.003_b0315) 2008; 49 Liu (10.1016/j.ijepes.2018.05.003_b0070) 2011; 26 10.1016/j.ijepes.2018.05.003_b0065 10.1016/j.ijepes.2018.05.003_b0220 Sttot (10.1016/j.ijepes.2018.05.003_b0080) 1979; 98 10.1016/j.ijepes.2018.05.003_b0265 Pezzinia (10.1016/j.ijepes.2018.05.003_b0100) 2011 10.1016/j.ijepes.2018.05.003_b0145 Mojtaba (10.1016/j.ijepes.2018.05.003_b0200) 2014; 78 10.1016/j.ijepes.2018.05.003_b0300 Price (10.1016/j.ijepes.2018.05.003_b0135) 2005 Costa (10.1016/j.ijepes.2018.05.003_b0310) 2007; 77 Fouad (10.1016/j.ijepes.2018.05.003_b0350) 1992 Frank (10.1016/j.ijepes.2018.05.003_b0085) 2012; 3 Eusuff (10.1016/j.ijepes.2018.05.003_b0165) 2003; 129 Bouchekara (10.1016/j.ijepes.2018.05.003_b0210) 2014; 87 Abbasss (10.1016/j.ijepes.2018.05.003_b0215) 2001 Mohamed (10.1016/j.ijepes.2018.05.003_b0225) 2012; 3 Rezaei Adaryani (10.1016/j.ijepes.2018.05.003_b0340) 2013; 53 Glover (10.1016/j.ijepes.2018.05.003_b0115) 1986; 1 Bhattacharya (10.1016/j.ijepes.2018.05.003_b0155) 2010; 25 Fan (10.1016/j.ijepes.2018.05.003_b0260) 2003; 27 Abaci (10.1016/j.ijepes.2018.05.003_b0345) 2016; 79 10.1016/j.ijepes.2018.05.003_b0170 Berizzi (10.1016/j.ijepes.2018.05.003_b0050) 1998; 13 Sivasubramani (10.1016/j.ijepes.2018.05.003_b0140) 2011; 33 Abido (10.1016/j.ijepes.2018.05.003_b0305) 2002; 30 AlRashidi (10.1016/j.ijepes.2018.05.003_b0025) 2009; 79 Choi (10.1016/j.ijepes.2018.05.003_b0230) 2013 Wood (10.1016/j.ijepes.2018.05.003_b0090) 1984 Bouchekara (10.1016/j.ijepes.2018.05.003_b0180) 2014; 42 Yuryevich (10.1016/j.ijepes.2018.05.003_b0125) 1999; 14 Bouchekara (10.1016/j.ijepes.2018.05.003_b0175) 2014; 24 Arai (10.1016/j.ijepes.2018.05.003_b0015) 2008; 8 Mansour (10.1016/j.ijepes.2018.05.003_b0040) 1990 Nguyen (10.1016/j.ijepes.2018.05.003_b0355) 2003; 18 Momoh (10.1016/j.ijepes.2018.05.003_b0095) 1999; 14 Barklund (10.1016/j.ijepes.2018.05.003_b0010) 2008; 23 Kessel (10.1016/j.ijepes.2018.05.003_b0055) 1986; 1 Erickson (10.1016/j.ijepes.2018.05.003_b0235) 2001 10.1016/j.ijepes.2018.05.003_b0240 10.1016/j.ijepes.2018.05.003_b0285 Bakirtzis Anastasios (10.1016/j.ijepes.2018.05.003_b0325) 2002; 17 Jabr (10.1016/j.ijepes.2018.05.003_b0075) 2006; 21 Mojtaba (10.1016/j.ijepes.2018.05.003_b0195) 2015; 65 10.1016/j.ijepes.2018.05.003_b0245 Vasquez (10.1016/j.ijepes.2018.05.003_b0005) 2010; 4 Antonio (10.1016/j.ijepes.2018.05.003_b0020) 2003 |
| References_xml | – volume: 77 start-page: 1047 year: 2007 end-page: 1055 ident: b0310 article-title: Energy and ancillary service dispatch through dynamic optimal power flow publication-title: Electr Power Syst Res – start-page: 207 year: 2001 end-page: 214 ident: b0215 article-title: Marriage in honey-bee optimization (HBO): a haplometrosis polygynous swarming approach publication-title: Congress Evolut Comput – reference: Zhifeng Q, Deconinck, G., Belmans, R. A literature survey of optimal power flow problems in the electricity market context. Power systems conf and exposition; March 2009. p. 1–6. – volume: 1 start-page: 346 year: 1986 end-page: 354 ident: b0055 article-title: Estimating the voltage stability of a power system publication-title: IEEE Trans Power Delivery – volume: 18 start-page: 1187 year: 2003 end-page: 1195 ident: b0130 article-title: Particle swarm optimization to solving the economic dispatch considering the generator constraints publication-title: IEEE Trans Power Syst – volume: 152 start-page: 795 year: 2005 end-page: 805 ident: b0295 article-title: Nonlinear interior point optimal power flow method based on a current mismatch formulation publication-title: IEEE Proc Gener Transm Distrb – year: 2001 ident: b0235 article-title: Fundamentals of power electronics – volume: 13 start-page: 526 year: 2009 end-page: 553 ident: b0255 article-title: Differential evolution using a neighborhood-based mutation operator publication-title: IEEE Trans Evol Comput – volume: 14 start-page: 1114 year: 1999 end-page: 1120 ident: b0095 article-title: Improved interior point method for OPF problems publication-title: IEEE Trans Power Syst – volume: 220 start-page: 671 year: 1983 end-page: 679 ident: b0120 article-title: Optimization by simulated annealing publication-title: Science – year: 1992 ident: b0350 article-title: Power system transient stability analysis using the transient energy function method – volume: 73 start-page: 340 year: 2014 end-page: 353 ident: b0205 article-title: Solving non-linear, non-smooth and non- convex optimal power flow problems using chaotic invasive weed optimization algorithms based on chaos publication-title: Energy – volume: 87 start-page: 58 year: 2014 end-page: 70 ident: b0210 article-title: Optimal power flow using the league championship algorithm: a case study of the Algerian power system publication-title: Energy Convers Manage – volume: 17 start-page: 229 year: 2002 end-page: 236 ident: b0325 article-title: Optimal power flow by enhanced genetic algorithm publication-title: IEEE Trans Power Syst – year: 2010 ident: b0160 article-title: A modified Artificial Bee Colony algorithm for real-parameter optimization publication-title: J Inf Sci – volume: 33 start-page: 745 year: 2011 end-page: 752 ident: b0140 article-title: Multi-objective harmony search algorithm for optimal power flow problem publication-title: Electr Power Energy Syst – year: 1989 ident: b0105 article-title: Genetic algorithms in search, optimization and machine learning – reference: University of Washington. Power systems test case archive. [Online]. Available: – volume: 3 start-page: 145 year: 2007 end-page: 153 ident: b0330 article-title: Economic power dispatch of power system with pollution control using multiobjective ant colony optimization publication-title: Int J Comput Intell Res – volume: 79 start-page: 1 year: 2016 end-page: 10 ident: b0345 article-title: Differential search algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electr Power Energy Syst – volume: 23 start-page: 2346 year: 2008 end-page: 2352 ident: b0010 article-title: Energy management in autonomous microgrid using stability- constrained droop control of inverters publication-title: IEEE Trans Power Electron – volume: 78 start-page: 276 year: 2014 end-page: 289 ident: b0200 article-title: Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm publication-title: Energy – volume: 3 start-page: 149 year: 2012 end-page: 165 ident: b0225 article-title: An alternative differential evolution algorithm for global optimization publication-title: J Adv Res – reference: Corne D, Dorigo M, Glover F. New ideas in optimization. London, U.K.: McGraw-Hill Education; 1999. p. 102. – reference: Abido MA, Al Ali NA. Multi-objective differential evolution for optimal power flow. International conference on power engineering, energy and electrical drives, POWERENG’09, IEEE; 2009. p. 101–6. – year: 2013 ident: b0230 article-title: An adaptive cauchy differential evolution algorithm for global numerical optimization publication-title: Sci World J – volume: 25 start-page: 1064 year: 2010 end-page: 1077 ident: b0155 article-title: Biogeography-based optimization for different economic load dispatch problems publication-title: IEEE Trans Power Syst – volume: 1 start-page: 190 year: 1986 end-page: 206 ident: b0115 article-title: Tabu search – Part I publication-title: ORSA J Comput – reference: Li C, Zhao H, Chen T. The hybrid differential evolution algorithm for optimal power flow based on simulated annealing and tabu search. In: International conference of the IEEE manage serv sci; 2010. p. 1–7. – volume: 7 start-page: 54 year: 1992 end-page: 64 ident: b0045 article-title: Fast calculation of a voltage stability index publication-title: IEEE Trans Power Syst – volume: 14 start-page: 1245 year: 1999 end-page: 1250 ident: b0125 article-title: Evolutionary programming based optimal power flow algorithm publication-title: IEEE Trans Power Syst – reference: Nobahari H, Nikusokhan M, Siarry P. Non-dominated sorting gravitational search algorithm. In: ICSI 2011: International conference on swarm intelligence; 2011. – volume: 42 start-page: 1683 year: 2014 end-page: 1699 ident: b0180 article-title: Optimal power flow using differential search algorithm publication-title: Electr Power Compon Syst – volume: 65 start-page: 375 year: 2015 end-page: 384 ident: b0195 article-title: An improved teaching–learning based optimization algorithm using Levy mutation strategy for non-smooth optimal power flow publication-title: Int J Electr Power Energ Syst – volume: 5 start-page: 1 year: 2006 end-page: 21 ident: b0335 article-title: Optimal power flow solution: a GA-fuzzy system approach publication-title: Int J Emerg Electr Power Syst – volume: 4 start-page: 23 year: 2010 end-page: 29 ident: b0005 article-title: Hierarchical control of intelligent microgrids publication-title: IEEE Ind Electron Mag – volume: 13 start-page: 543 year: 1998 end-page: 551 ident: b0050 article-title: First and second order methods for voltage collapse assessment and security enhancement publication-title: IEEE Trans Power Syst – reference: Bahrami Shahab, Wong Vincent WS, Jatskevich Juri. Optimal power flow for AC-DC networks. In: IEEE international conference on smart grid communications; 2014. p. 49–54. – volume: 24 start-page: 879 year: 2014 end-page: 888 ident: b0175 article-title: Optimal power flow using black-hole-based optimization approach publication-title: Appl Soft Comput – volume: 18 start-page: 848 year: 2003 end-page: 854 ident: b0355 article-title: Dynamic security-constrained rescheduling of power systems using trajectory sensitivities publication-title: IEEE Trans Power Syst – volume: 8 start-page: 52 year: 2008 end-page: 66 ident: b0015 article-title: Power electronics and its applications to renewable energy in Japan publication-title: IEEE Circuits Syst Mag – volume: 98 start-page: 837 year: 1979 end-page: 848 ident: b0080 article-title: Linear programming for power system network security applications publication-title: IEEE Trans Power Apparat Syst – volume: 10 start-page: 1919 year: 1995 end-page: 1926 ident: b0110 article-title: Large-scale economic dispatch by genetic algorithm publication-title: IEEE Trans Power Syst – reference: Storn R, Price K. Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. Berkeley (CA): International Computer Science Institute; 1995 [Tech. Rep. TR-95–012]. – volume: 49 start-page: 3036 year: 2008 end-page: 3042 ident: b0315 article-title: Modified differential evolution algorithm for optimal power flow with non-smooth cost functions publication-title: Energy Convers Manage – year: 2005 ident: b0135 article-title: Differential evolution: a practical approach to global optimization – volume: 129 start-page: 210 year: 2003 end-page: 225 ident: b0165 article-title: Optimization of water distribution network design using the shuffled frog leaping algorithm publication-title: J Water Resour Plann Manage – volume: 21 start-page: 1458 year: 2006 end-page: 1459 ident: b0075 article-title: Radial distribution load flow using conic programming publication-title: IEEE Trans Power Syst – volume: 28 start-page: 118 year: 2008 end-page: 127 ident: b0320 article-title: Optimal power dispatch for large scale power system using stochastic search algorithms publication-title: Int J Power Energy Syst – volume: 27 start-page: 105 year: 2003 end-page: 129 ident: b0260 article-title: A trigonometric mutation operation to differential evolution publication-title: J Global Optim – volume: 24 start-page: 563 year: 2002 end-page: 571 ident: b0270 article-title: Optimal power flow using particle swarm optimization publication-title: Electric Power Energy Syst – volume: 93 start-page: 745 year: 1974 end-page: 751 ident: b0275 article-title: Optimal load flow with steady-state security publication-title: IEEE Trans Power Apparatus Syst – reference: Glover JD, Sarma MS, Overbye T. Power system analysis and design, 5th ed. CT: Cengage Learning; 2011. – volume: 13 start-page: 398 year: 2009 end-page: 417 ident: b0250 article-title: Differential evolution algorithm with strategy adaptation for global numerical optimization publication-title: IEEE Trans Evol Comput – reference: Beerten J, Cole S, Belmans R. A sequential AC-DC power flow algorithm for networks containing multi-terminal VSC HVDC systems. In: Proc of IEEE power and energy society general meeting (PES), Minneapolis, MN; July 2010. – year: 1990 ident: b0040 article-title: Voltage stability of power systems: concepts, analytical tools and industry experience – volume: 26 start-page: 12 year: 2011 end-page: 19 ident: b0290 article-title: MATPOWER: steady state operations, planning and analysis tools for power systems research and education publication-title: IEEE Trans Power Syst – volume: 3 start-page: 221 year: 2012 end-page: 258 ident: b0085 article-title: Optimal power flow: a bibliographic survey I, formulations and deterministic methods publication-title: Int J Energy Syst – year: 2003 ident: b0020 article-title: Sistemas Eléctricos de Potencia – volume: 26 start-page: 862 year: 2011 end-page: 869 ident: b0070 article-title: An improved approach for AC-DC power flow calculation with multi-infeed DC systems publication-title: IEEE Trans Power Syst – volume: 28 start-page: 2376 year: 2013 end-page: 2383 ident: b0060 article-title: A multi-option unified power flow approach for hybrid AC/DC grids incorporating multi-terminal VSCHVDC publication-title: IEEE Trans Power Syst – reference: . – volume: 53 start-page: 219 year: 2013 end-page: 230 ident: b0340 article-title: Artificial bee colony algorithm for solving multi-objective optimal power flow problem publication-title: Electr Power Energy Syst – start-page: 2029 year: 2011 end-page: 2041 ident: b0100 article-title: Optimization techniques to improve energy efficiency in power systems publication-title: Renew Sustain Energy Rev – year: 1984 ident: b0090 article-title: Power generation, operation, and control – volume: 12 start-page: 702 year: 2008 end-page: 713 ident: b0150 article-title: Biogeography-based optimization publication-title: IEEE Trans Evol Comput – volume: 79 start-page: 694 year: 2009 end-page: 702 ident: b0025 article-title: Applications of computational intelligence techniques for solving the revived optimal power flow problem publication-title: Electr Power Syst Res – volume: 30 start-page: 469 year: 2002 end-page: 483 ident: b0305 article-title: Optimal Power flow using tabu search algorithm publication-title: Electr Power Compon Syst – volume: 79 start-page: 1 year: 2016 end-page: 10 ident: b0185 article-title: Differential search algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electr Power Energ Syst – reference: U.S. Energy Information Administration (EIA). [Online]. Available: – reference: Karaboga D. An idea based on honey bee swarm for numerical optimization. Technical report-TR06. Erciyes University of Engineering, Faculty of Computer Engineering Department; 2005. – reference: Zimmerman RD, Gan D. MATPOWER, a MATLAB power system simulation package. Ithaca (NY): Power System Engineering Research Center, Cornell Univ.; 1997. [Online]. Available: – volume: 44 start-page: 434 year: 2016 end-page: 449 ident: b0190 article-title: Optimal power flow using an improved electromagnetism-like mechanism method publication-title: Elec Power Compon Syst – year: 1990 ident: 10.1016/j.ijepes.2018.05.003_b0040 – volume: 220 start-page: 671 year: 1983 ident: 10.1016/j.ijepes.2018.05.003_b0120 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – start-page: 207 year: 2001 ident: 10.1016/j.ijepes.2018.05.003_b0215 article-title: Marriage in honey-bee optimization (HBO): a haplometrosis polygynous swarming approach publication-title: Congress Evolut Comput – ident: 10.1016/j.ijepes.2018.05.003_b0035 doi: 10.1109/ICMSS.2010.5578512 – year: 2003 ident: 10.1016/j.ijepes.2018.05.003_b0020 – volume: 8 start-page: 52 year: 2008 ident: 10.1016/j.ijepes.2018.05.003_b0015 article-title: Power electronics and its applications to renewable energy in Japan publication-title: IEEE Circuits Syst Mag doi: 10.1109/MCAS.2008.928420 – volume: 3 start-page: 145 issue: 2 year: 2007 ident: 10.1016/j.ijepes.2018.05.003_b0330 article-title: Economic power dispatch of power system with pollution control using multiobjective ant colony optimization publication-title: Int J Comput Intell Res – start-page: 2029 year: 2011 ident: 10.1016/j.ijepes.2018.05.003_b0100 article-title: Optimization techniques to improve energy efficiency in power systems publication-title: Renew Sustain Energy Rev – volume: 79 start-page: 1 year: 2016 ident: 10.1016/j.ijepes.2018.05.003_b0185 article-title: Differential search algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electr Power Energ Syst doi: 10.1016/j.ijepes.2015.12.021 – volume: 24 start-page: 563 issue: 7 year: 2002 ident: 10.1016/j.ijepes.2018.05.003_b0270 article-title: Optimal power flow using particle swarm optimization publication-title: Electric Power Energy Syst doi: 10.1016/S0142-0615(01)00067-9 – volume: 152 start-page: 795 issue: 6 year: 2005 ident: 10.1016/j.ijepes.2018.05.003_b0295 article-title: Nonlinear interior point optimal power flow method based on a current mismatch formulation publication-title: IEEE Proc Gener Transm Distrb doi: 10.1049/ip-gtd:20050076 – ident: 10.1016/j.ijepes.2018.05.003_b0220 – year: 2013 ident: 10.1016/j.ijepes.2018.05.003_b0230 article-title: An adaptive cauchy differential evolution algorithm for global numerical optimization publication-title: Sci World J doi: 10.1155/2013/969734 – volume: 79 start-page: 1 year: 2016 ident: 10.1016/j.ijepes.2018.05.003_b0345 article-title: Differential search algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2015.12.021 – volume: 79 start-page: 694 issue: 4 year: 2009 ident: 10.1016/j.ijepes.2018.05.003_b0025 article-title: Applications of computational intelligence techniques for solving the revived optimal power flow problem publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2008.10.004 – volume: 4 start-page: 23 year: 2010 ident: 10.1016/j.ijepes.2018.05.003_b0005 article-title: Hierarchical control of intelligent microgrids publication-title: IEEE Ind Electron Mag doi: 10.1109/MIE.2010.938720 – ident: 10.1016/j.ijepes.2018.05.003_b0285 – volume: 28 start-page: 118 issue: 2 year: 2008 ident: 10.1016/j.ijepes.2018.05.003_b0320 article-title: Optimal power dispatch for large scale power system using stochastic search algorithms publication-title: Int J Power Energy Syst – volume: 3 start-page: 149 year: 2012 ident: 10.1016/j.ijepes.2018.05.003_b0225 article-title: An alternative differential evolution algorithm for global optimization publication-title: J Adv Res doi: 10.1016/j.jare.2011.06.004 – volume: 12 start-page: 702 issue: 6 year: 2008 ident: 10.1016/j.ijepes.2018.05.003_b0150 article-title: Biogeography-based optimization publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2008.919004 – volume: 129 start-page: 210 issue: 3 year: 2003 ident: 10.1016/j.ijepes.2018.05.003_b0165 article-title: Optimization of water distribution network design using the shuffled frog leaping algorithm publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2003)129:3(210) – volume: 30 start-page: 469 issue: 5 year: 2002 ident: 10.1016/j.ijepes.2018.05.003_b0305 article-title: Optimal Power flow using tabu search algorithm publication-title: Electr Power Compon Syst doi: 10.1080/15325000252888425 – volume: 10 start-page: 1919 year: 1995 ident: 10.1016/j.ijepes.2018.05.003_b0110 article-title: Large-scale economic dispatch by genetic algorithm publication-title: IEEE Trans Power Syst doi: 10.1109/59.476058 – ident: 10.1016/j.ijepes.2018.05.003_b0065 doi: 10.1109/PES.2010.5589968 – volume: 1 start-page: 346 issue: 3 year: 1986 ident: 10.1016/j.ijepes.2018.05.003_b0055 article-title: Estimating the voltage stability of a power system publication-title: IEEE Trans Power Delivery doi: 10.1109/TPWRD.1986.4308013 – volume: 17 start-page: 229 issue: 2 year: 2002 ident: 10.1016/j.ijepes.2018.05.003_b0325 article-title: Optimal power flow by enhanced genetic algorithm publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2002.1007886 – volume: 65 start-page: 375 year: 2015 ident: 10.1016/j.ijepes.2018.05.003_b0195 article-title: An improved teaching–learning based optimization algorithm using Levy mutation strategy for non-smooth optimal power flow publication-title: Int J Electr Power Energ Syst doi: 10.1016/j.ijepes.2014.10.027 – volume: 77 start-page: 1047 issue: 8 year: 2007 ident: 10.1016/j.ijepes.2018.05.003_b0310 article-title: Energy and ancillary service dispatch through dynamic optimal power flow publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2006.09.003 – volume: 1 start-page: 190 issue: 3 year: 1986 ident: 10.1016/j.ijepes.2018.05.003_b0115 article-title: Tabu search – Part I publication-title: ORSA J Comput doi: 10.1287/ijoc.1.3.190 – year: 2005 ident: 10.1016/j.ijepes.2018.05.003_b0135 – volume: 23 start-page: 2346 issue: 9 year: 2008 ident: 10.1016/j.ijepes.2018.05.003_b0010 article-title: Energy management in autonomous microgrid using stability- constrained droop control of inverters publication-title: IEEE Trans Power Electron doi: 10.1109/TPEL.2008.2001910 – year: 1984 ident: 10.1016/j.ijepes.2018.05.003_b0090 – volume: 13 start-page: 526 issue: 3 year: 2009 ident: 10.1016/j.ijepes.2018.05.003_b0255 article-title: Differential evolution using a neighborhood-based mutation operator publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2008.2009457 – volume: 3 start-page: 221 issue: 3 year: 2012 ident: 10.1016/j.ijepes.2018.05.003_b0085 article-title: Optimal power flow: a bibliographic survey I, formulations and deterministic methods publication-title: Int J Energy Syst – ident: 10.1016/j.ijepes.2018.05.003_b0280 – ident: 10.1016/j.ijepes.2018.05.003_b0300 doi: 10.1109/POWERENG.2009.4915212 – volume: 26 start-page: 862 issue: 2 year: 2011 ident: 10.1016/j.ijepes.2018.05.003_b0070 article-title: An improved approach for AC-DC power flow calculation with multi-infeed DC systems publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2010.2068579 – volume: 49 start-page: 3036 issue: 11 year: 2008 ident: 10.1016/j.ijepes.2018.05.003_b0315 article-title: Modified differential evolution algorithm for optimal power flow with non-smooth cost functions publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2008.06.014 – volume: 78 start-page: 276 year: 2014 ident: 10.1016/j.ijepes.2018.05.003_b0200 article-title: Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm publication-title: Energy doi: 10.1016/j.energy.2014.10.007 – volume: 21 start-page: 1458 issue: 3 year: 2006 ident: 10.1016/j.ijepes.2018.05.003_b0075 article-title: Radial distribution load flow using conic programming publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2006.879234 – volume: 44 start-page: 434 issue: 4 year: 2016 ident: 10.1016/j.ijepes.2018.05.003_b0190 article-title: Optimal power flow using an improved electromagnetism-like mechanism method publication-title: Elec Power Compon Syst doi: 10.1080/15325008.2015.1115919 – volume: 13 start-page: 543 issue: 2 year: 1998 ident: 10.1016/j.ijepes.2018.05.003_b0050 article-title: First and second order methods for voltage collapse assessment and security enhancement publication-title: IEEE Trans Power Syst doi: 10.1109/59.667380 – ident: 10.1016/j.ijepes.2018.05.003_b0145 – year: 2001 ident: 10.1016/j.ijepes.2018.05.003_b0235 – volume: 27 start-page: 105 issue: 1 year: 2003 ident: 10.1016/j.ijepes.2018.05.003_b0260 article-title: A trigonometric mutation operation to differential evolution publication-title: J Global Optim doi: 10.1023/A:1024653025686 – volume: 7 start-page: 54 issue: 1 year: 1992 ident: 10.1016/j.ijepes.2018.05.003_b0045 article-title: Fast calculation of a voltage stability index publication-title: IEEE Trans Power Syst doi: 10.1109/59.141687 – volume: 18 start-page: 848 issue: 2 year: 2003 ident: 10.1016/j.ijepes.2018.05.003_b0355 article-title: Dynamic security-constrained rescheduling of power systems using trajectory sensitivities publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2003.811002 – volume: 24 start-page: 879 year: 2014 ident: 10.1016/j.ijepes.2018.05.003_b0175 article-title: Optimal power flow using black-hole-based optimization approach publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2014.08.056 – volume: 93 start-page: 745 issue: 3 year: 1974 ident: 10.1016/j.ijepes.2018.05.003_b0275 article-title: Optimal load flow with steady-state security publication-title: IEEE Trans Power Apparatus Syst doi: 10.1109/TPAS.1974.293972 – year: 1992 ident: 10.1016/j.ijepes.2018.05.003_b0350 – volume: 73 start-page: 340 year: 2014 ident: 10.1016/j.ijepes.2018.05.003_b0205 article-title: Solving non-linear, non-smooth and non- convex optimal power flow problems using chaotic invasive weed optimization algorithms based on chaos publication-title: Energy doi: 10.1016/j.energy.2014.06.026 – volume: 28 start-page: 2376 issue: 3 year: 2013 ident: 10.1016/j.ijepes.2018.05.003_b0060 article-title: A multi-option unified power flow approach for hybrid AC/DC grids incorporating multi-terminal VSCHVDC publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2012.2236366 – volume: 5 start-page: 1 issue: 2 year: 2006 ident: 10.1016/j.ijepes.2018.05.003_b0335 article-title: Optimal power flow solution: a GA-fuzzy system approach publication-title: Int J Emerg Electr Power Syst – ident: 10.1016/j.ijepes.2018.05.003_b0170 – volume: 42 start-page: 1683 year: 2014 ident: 10.1016/j.ijepes.2018.05.003_b0180 article-title: Optimal power flow using differential search algorithm publication-title: Electr Power Compon Syst doi: 10.1080/15325008.2014.949912 – volume: 26 start-page: 12 issue: 1 year: 2011 ident: 10.1016/j.ijepes.2018.05.003_b0290 article-title: MATPOWER: steady state operations, planning and analysis tools for power systems research and education publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2010.2051168 – volume: 53 start-page: 219 year: 2013 ident: 10.1016/j.ijepes.2018.05.003_b0340 article-title: Artificial bee colony algorithm for solving multi-objective optimal power flow problem publication-title: Electr Power Energy Syst doi: 10.1016/j.ijepes.2013.04.021 – volume: 25 start-page: 1064 issue: 2 year: 2010 ident: 10.1016/j.ijepes.2018.05.003_b0155 article-title: Biogeography-based optimization for different economic load dispatch problems publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2034525 – ident: 10.1016/j.ijepes.2018.05.003_b0360 – volume: 33 start-page: 745 year: 2011 ident: 10.1016/j.ijepes.2018.05.003_b0140 article-title: Multi-objective harmony search algorithm for optimal power flow problem publication-title: Electr Power Energy Syst doi: 10.1016/j.ijepes.2010.12.031 – year: 2010 ident: 10.1016/j.ijepes.2018.05.003_b0160 article-title: A modified Artificial Bee Colony algorithm for real-parameter optimization publication-title: J Inf Sci – volume: 14 start-page: 1114 year: 1999 ident: 10.1016/j.ijepes.2018.05.003_b0095 article-title: Improved interior point method for OPF problems publication-title: IEEE Trans Power Syst doi: 10.1109/59.780938 – volume: 18 start-page: 1187 issue: 3 year: 2003 ident: 10.1016/j.ijepes.2018.05.003_b0130 article-title: Particle swarm optimization to solving the economic dispatch considering the generator constraints publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2003.814889 – ident: 10.1016/j.ijepes.2018.05.003_b0245 doi: 10.1109/SmartGridComm.2014.7007621 – volume: 14 start-page: 1245 issue: 4 year: 1999 ident: 10.1016/j.ijepes.2018.05.003_b0125 article-title: Evolutionary programming based optimal power flow algorithm publication-title: IEEE Trans Power Syst doi: 10.1109/59.801880 – volume: 87 start-page: 58 year: 2014 ident: 10.1016/j.ijepes.2018.05.003_b0210 article-title: Optimal power flow using the league championship algorithm: a case study of the Algerian power system publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2014.06.088 – year: 1989 ident: 10.1016/j.ijepes.2018.05.003_b0105 – ident: 10.1016/j.ijepes.2018.05.003_b0240 – volume: 13 start-page: 398 issue: 2 year: 2009 ident: 10.1016/j.ijepes.2018.05.003_b0250 article-title: Differential evolution algorithm with strategy adaptation for global numerical optimization publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2008.927706 – volume: 98 start-page: 837 year: 1979 ident: 10.1016/j.ijepes.2018.05.003_b0080 article-title: Linear programming for power system network security applications publication-title: IEEE Trans Power Apparat Syst doi: 10.1109/TPAS.1979.319296 – ident: 10.1016/j.ijepes.2018.05.003_b0030 doi: 10.1109/PSCE.2009.4840099 – ident: 10.1016/j.ijepes.2018.05.003_b0265 |
| SSID | ssj0007942 |
| Score | 2.3242462 |
| Snippet | •A novel approach is proposed to formulate OPF problem on AC-DC microgrids as a traditional AC OPF problem.•A modified adaptive differential evolution... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 185 |
| SubjectTerms | AC-DC networks Differential evolution Modified adaptive differential evolution Optimal power flow Power system security |
| Title | Modified adaptive differential evolution based optimal operation and security of AC-DC microgrid systems |
| URI | https://dx.doi.org/10.1016/j.ijepes.2018.05.003 |
| Volume | 103 |
| WOSCitedRecordID | wos000439746200019&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/eLvHCXMwtV1Lj9MwELbKLgc4IJ5ieckHblWq5uHGPq7KIkBshdhF6i1ybIem6qZR2612fxj_jxnbSVMW8ZK4RFEa25Hn6_jzeB6EvB5JxWDpUQFXigVJkvOAG5EGudRcGZbAjsBK-mM6mfDpVHzq9b41sTDbRVpV_OpK1P9V1PAMhI2hs38h7rZTeAD3IHS4gtjh-keCP13qskBiKbWsrWNQUwRlg9Zxs_Wj93EB0_0lvHOBjLQ2HgzWlO7L2lmiOg7ejPsX6Ln3dVVqn_x53aW1-3bFTjYKV2XHAqHGemwWacbFG3b7QYPATK4ANpcWV9dwVy6g1UReyzaY6AyGnzmP8NPB7oTKWns_D_pneBq1lWvZNWWE_Ae3kDbGZufQ5EyeEdafcGffxqlpngqMQUj39Pgw7mjikLPOoh7ZsO6b64UzXcwH5dzUBrO3h9wmcvVd7WfiRke4yFJATJoG3OYWOYxSJkCZHh6_P5l-aCkAKLnI-c66T29iNq1j4c2xfs6JOjzn_D655zco9NgB6wHpmeohudtJW_mIzBqI0QZitAsx2kKMWohRDzHaQowCxGgDMbosqIUYbSFGPTQeky9vT87H7wJfsSNQsPXcBAWLDFBKLphOQAkUcWhwBUkMkNRIM1ZEqeAKKyhoINpFETMJ_F8PCyGKJE9Y_IQcVMvKPCVUFyHsPJTCLXwSaylAb4xUDtv5fKThlyMSN3OWKZ_OHquqLLLGb3GeuZnOcKazIcM0uEckaFvVLp3Lb95PG3FknpI6qpkBgn7Z8tk_t3xO7uz-HC_IwWZ1aV6S22q7KderVx5q3wHZFbYb |
| 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=Modified+adaptive+differential+evolution+based+optimal+operation+and+security+of+AC-DC+microgrid+systems&rft.jtitle=International+journal+of+electrical+power+%26+energy+systems&rft.au=Bharothu%2C+Jyothilal+Nayak&rft.au=Sridhar%2C+M.&rft.au=Rao%2C+R.+Srinivasa&rft.date=2018-12-01&rft.pub=Elsevier+Ltd&rft.issn=0142-0615&rft.eissn=1879-3517&rft.volume=103&rft.spage=185&rft.epage=202&rft_id=info:doi/10.1016%2Fj.ijepes.2018.05.003&rft.externalDocID=S0142061518302242 |
| 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 |