메뉴 건너뛰기




Volumn 72, Issue , 2014, Pages 93-102

Parameter identification of solar cells using artificial bee colony optimization

Author keywords

Artificial bee colony; Photo voltaic cells; Solar cell modeling

Indexed keywords

EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 84904191803     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.05.011     Document Type: Article
Times cited : (409)

References (45)
  • 1
    • 84904164788 scopus 로고    scopus 로고
    • Renewables Global status report
    • Renewables Global status report 2010, http://www.ren21.net/globalstatusreport/.
    • (2010)
  • 2
    • 84864827396 scopus 로고    scopus 로고
    • Parameter extraction of solar photovoltaic modules using penalty-based differential evolution
    • Ishaque K., Salam Z., Mekhilef S., Shamsudin A. Parameter extraction of solar photovoltaic modules using penalty-based differential evolution. Appl Energy 2012, 99:297-308.
    • (2012) Appl Energy , vol.99 , pp. 297-308
    • Ishaque, K.1    Salam, Z.2    Mekhilef, S.3    Shamsudin, A.4
  • 3
    • 84870740987 scopus 로고    scopus 로고
    • Aprocedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data
    • Orioli A., Gangi A.D. Aprocedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data. Appl Energy 2013, 102:1160-1177.
    • (2013) Appl Energy , vol.102 , pp. 1160-1177
    • Orioli, A.1    Gangi, A.D.2
  • 4
    • 75449092714 scopus 로고    scopus 로고
    • Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis
    • Sandrolini L., Artioli M., Reggiani U. Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis. Appl Energy 2010, 87:442-451.
    • (2010) Appl Energy , vol.87 , pp. 442-451
    • Sandrolini, L.1    Artioli, M.2    Reggiani, U.3
  • 5
    • 80755168800 scopus 로고    scopus 로고
    • Asimple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison
    • Amrouche B., Guessoum A., Belhamel M. Asimple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison. Appl Energy 2012, 91:395-404.
    • (2012) Appl Energy , vol.91 , pp. 395-404
    • Amrouche, B.1    Guessoum, A.2    Belhamel, M.3
  • 6
    • 84862332393 scopus 로고    scopus 로고
    • Aradial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module
    • Bonanno F., Capizzi G., Graditi G., Napoli C., Tina G.M. Aradial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module. Appl Energy 2012, 97:956-961.
    • (2012) Appl Energy , vol.97 , pp. 956-961
    • Bonanno, F.1    Capizzi, G.2    Graditi, G.3    Napoli, C.4    Tina, G.M.5
  • 7
    • 2142650713 scopus 로고    scopus 로고
    • Modeling of an equivalent circuit for dye-sensitized solar cells
    • Han L., Koide N., Chiba Y., Mitate T. Modeling of an equivalent circuit for dye-sensitized solar cells. Appl Phys Lett 2004, 13:2433-2435.
    • (2004) Appl Phys Lett , vol.13 , pp. 2433-2435
    • Han, L.1    Koide, N.2    Chiba, Y.3    Mitate, T.4
  • 8
    • 67349141404 scopus 로고    scopus 로고
    • Comprehensive approach to modeling and simulation of photovoltaic arrays
    • Villalva M.G., Gazoli J.R., Filho E.R. Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans Power Electron 2009, 24(5):1198-1208.
    • (2009) IEEE Trans Power Electron , vol.24 , Issue.5 , pp. 1198-1208
    • Villalva, M.G.1    Gazoli, J.R.2    Filho, E.R.3
  • 9
    • 73749086818 scopus 로고    scopus 로고
    • Mapping the performance of a PV modules, effects of module type and data averaging
    • Huld T., Gottschalg R., Beyer H.G., Topic M. Mapping the performance of a PV modules, effects of module type and data averaging. Sol Energy 2010, 84:324-328.
    • (2010) Sol Energy , vol.84 , pp. 324-328
    • Huld, T.1    Gottschalg, R.2    Beyer, H.G.3    Topic, M.4
  • 10
    • 33747622794 scopus 로고    scopus 로고
    • Real-time identification of optimal operating points in photovoltaic power systems
    • Xiao W., Lind M.G.J., Dunford W.G., Capel A. Real-time identification of optimal operating points in photovoltaic power systems. IEEE Trans Ind Electron 2006, 53(4):1017-1026.
    • (2006) IEEE Trans Ind Electron , vol.53 , Issue.4 , pp. 1017-1026
    • Xiao, W.1    Lind, M.G.J.2    Dunford, W.G.3    Capel, A.4
  • 11
    • 34548825830 scopus 로고    scopus 로고
    • Determination of solar cells parameters under illuminated conditions
    • Chegaar M., Ouennough Z., Guechi F., Langueur H. Determination of solar cells parameters under illuminated conditions. JElectron Devices 2003, 2:17-21.
    • (2003) JElectron Devices , vol.2 , pp. 17-21
    • Chegaar, M.1    Ouennough, Z.2    Guechi, F.3    Langueur, H.4
  • 12
    • 67249113030 scopus 로고    scopus 로고
    • Parameter extraction of solar cells using particle swarm optimization
    • Ye M., Wang X., Xu Y. Parameter extraction of solar cells using particle swarm optimization. JAppl Phys 2009, 105(9):94502-94508.
    • (2009) JAppl Phys , vol.105 , Issue.9 , pp. 94502-94508
    • Ye, M.1    Wang, X.2    Xu, Y.3
  • 13
    • 84866534835 scopus 로고    scopus 로고
    • Parameter identification for solar cell models using harmony search-based algorithms
    • Askarzadeh Alireza, Rezazadeh Alireza Parameter identification for solar cell models using harmony search-based algorithms. Sol Energy 2012, 86(11):3241-3249.
    • (2012) Sol Energy , vol.86 , Issue.11 , pp. 3241-3249
    • Askarzadeh, A.1    Rezazadeh, A.2
  • 14
    • 84888400237 scopus 로고
    • Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers
    • Easwarakhanthan T., Bottin J., Bouhouch I., Boutrit C. Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. Sol Energy 1986, (4):1-12.
    • (1986) Sol Energy , Issue.4 , pp. 1-12
    • Easwarakhanthan, T.1    Bottin, J.2    Bouhouch, I.3    Boutrit, C.4
  • 15
    • 28244481852 scopus 로고    scopus 로고
    • New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I-V characteristics
    • Ortiz-Conde A., Garcia Sanchez F.J., Muci J. New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I-V characteristics. Sol Energy Mater Sol Cells 2006, 90(3):352-361.
    • (2006) Sol Energy Mater Sol Cells , vol.90 , Issue.3 , pp. 352-361
    • Ortiz-Conde, A.1    Garcia Sanchez, F.J.2    Muci, J.3
  • 16
    • 0022675793 scopus 로고
    • Acomparative study of extraction methods for solar cell model parameters
    • Chan D.S.H., Phillips J.R., Phang J.C.H. Acomparative study of extraction methods for solar cell model parameters. Solid-State Electron 1986, 29(3):329-337.
    • (1986) Solid-State Electron , vol.29 , Issue.3 , pp. 329-337
    • Chan, D.S.H.1    Phillips, J.R.2    Phang, J.C.H.3
  • 17
    • 79956069243 scopus 로고    scopus 로고
    • Anew estimation approach for determining the I-V characteristics of solar cells
    • AlRashidi M.R., AlHajri M.F., El-Naggar K.M., Al-Othman A.K. Anew estimation approach for determining the I-V characteristics of solar cells. Sol Energy 2011, 85(7):1543-1550.
    • (2011) Sol Energy , vol.85 , Issue.7 , pp. 1543-1550
    • AlRashidi, M.R.1    AlHajri, M.F.2    El-Naggar, K.M.3    Al-Othman, A.K.4
  • 18
    • 0035504875 scopus 로고    scopus 로고
    • Solar cell parameter extraction using genetic algorithms
    • Jervase J.A., Bourdoucen H., Al-Lawati A. Solar cell parameter extraction using genetic algorithms. Meas Sci Technol 2001, 12(11):1922-1925.
    • (2001) Meas Sci Technol , vol.12 , Issue.11 , pp. 1922-1925
    • Jervase, J.A.1    Bourdoucen, H.2    Al-Lawati, A.3
  • 20
    • 84855190625 scopus 로고    scopus 로고
    • Simulated annealing algorithm for photovoltaic parameters identification
    • El-Naggar K.M., AlRashidi M.R., AlHajri M.F., Al-Othman A.K. Simulated annealing algorithm for photovoltaic parameters identification. Sol Energy 2012, 86(1):266-274.
    • (2012) Sol Energy , vol.86 , Issue.1 , pp. 266-274
    • El-Naggar, K.M.1    AlRashidi, M.R.2    AlHajri, M.F.3    Al-Othman, A.K.4
  • 21
    • 84884152940 scopus 로고    scopus 로고
    • Bacterial Foraging Algorithm based solar PV parameter estimation
    • Rajasekar N., Krishna Kumar Neeraja, Venugopalan Rini Bacterial Foraging Algorithm based solar PV parameter estimation. Sol Energy 2013, 97:255-265.
    • (2013) Sol Energy , vol.97 , pp. 255-265
    • Rajasekar, N.1    Krishna Kumar, N.2    Venugopalan, R.3
  • 22
    • 84880128067 scopus 로고    scopus 로고
    • Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm
    • Jiang L.L., Maskell D.L., Patra J.C. Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm. Appl Energy 2013, 112:185-193.
    • (2013) Appl Energy , vol.112 , pp. 185-193
    • Jiang, L.L.1    Maskell, D.L.2    Patra, J.C.3
  • 23
    • 84894042693 scopus 로고    scopus 로고
    • An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models
    • Niu Q., Zhang H., Li K. An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models. Int J Hydrogen Energy 2014, 39(8):3837-3854.
    • (2014) Int J Hydrogen Energy , vol.39 , Issue.8 , pp. 3837-3854
    • Niu, Q.1    Zhang, H.2    Li, K.3
  • 24
    • 84891545474 scopus 로고    scopus 로고
    • Parameters extraction of solar cells - a comparative examination of three methods
    • [*****clasicos y GA]
    • Appelbaum J., Peled A. Parameters extraction of solar cells - a comparative examination of three methods. Sol Energy Mater Sol Cells 2014, 122:164-173. [*****clasicos y GA].
    • (2014) Sol Energy Mater Sol Cells , vol.122 , pp. 164-173
    • Appelbaum, J.1    Peled, A.2
  • 25
    • 84879327406 scopus 로고    scopus 로고
    • Parameter extraction of solar cell models using repaired adaptive differential evolution
    • Gong W., Cai Z. Parameter extraction of solar cell models using repaired adaptive differential evolution. Sol Energy 2013, 94:209-220.
    • (2013) Sol Energy , vol.94 , pp. 209-220
    • Gong, W.1    Cai, Z.2
  • 26
    • 84886725793 scopus 로고    scopus 로고
    • Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms
    • Siddiqui M.U., Abido M. Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms. Appl Soft Comput 2013, 13:4608-4621.
    • (2013) Appl Soft Comput , vol.13 , pp. 4608-4621
    • Siddiqui, M.U.1    Abido, M.2
  • 27
    • 84873558761 scopus 로고    scopus 로고
    • Extraction of maximum power point in solar cells using bird mating optimizer-based parameters identification approach
    • Askarzadeh A., Rezazadeh A. Extraction of maximum power point in solar cells using bird mating optimizer-based parameters identification approach. Sol Energy 2013, 90:123-133.
    • (2013) Sol Energy , vol.90 , pp. 123-133
    • Askarzadeh, A.1    Rezazadeh, A.2
  • 28
    • 2442513004 scopus 로고    scopus 로고
    • Improvements of real coded genetic algorithms based on differential operators preventing premature convergence
    • Hrstka Ondřej, Kuĉerová Anna Improvements of real coded genetic algorithms based on differential operators preventing premature convergence. Adv Eng Softw 2004, 35:237-246.
    • (2004) Adv Eng Softw , vol.35 , pp. 237-246
    • Hrstka, O.1    Kuĉerová, A.2
  • 29
    • 84878320141 scopus 로고    scopus 로고
    • An improved PSO algorithm with a territorial diversity-preserving scheme and enhanced exploration-exploitation balance
    • OstadmohammadiArani Behrooz, Mirzabeygi Pooya, ShariatPanahi Masoud An improved PSO algorithm with a territorial diversity-preserving scheme and enhanced exploration-exploitation balance. Swarm Evol Comput 2013, 11:1-15.
    • (2013) Swarm Evol Comput , vol.11 , pp. 1-15
    • OstadmohammadiArani, B.1    Mirzabeygi, P.2    ShariatPanahi, M.3
  • 30
    • 34548475770 scopus 로고    scopus 로고
    • Crowding clustering genetic algorithm for multimodal function optimization
    • Qing Ling, Gang Wu, Zaiyue Yang, Qiuping Wang Crowding clustering genetic algorithm for multimodal function optimization. Appl Soft Comput 2008, 8:88-95.
    • (2008) Appl Soft Comput , vol.8 , pp. 88-95
    • Qing, L.1    Gang, W.2    Zaiyue, Y.3    Qiuping, W.4
  • 31
    • 84855990520 scopus 로고    scopus 로고
    • Ahybrid niching PSO enhanced with recombination-replacement crowding strategy for multimodal function optimization
    • Li Minqiang, Lin Dan, Kou Jisong Ahybrid niching PSO enhanced with recombination-replacement crowding strategy for multimodal function optimization. Appl Soft Comput 2012, 12:975-987.
    • (2012) Appl Soft Comput , vol.12 , pp. 975-987
    • Li, M.1    Lin, D.2    Kou, J.3
  • 32
    • 84864032740 scopus 로고    scopus 로고
    • Multimodal K-shortest viable path problem in Tehran public transportation network and its solution applying ant colony and simulated annealing algorithms
    • Niksirat Malihe, Ghatee Mehdi, Mehdi Hashemi S. Multimodal K-shortest viable path problem in Tehran public transportation network and its solution applying ant colony and simulated annealing algorithms. Appl Math Model 2012, 36:5709-5726.
    • (2012) Appl Math Model , vol.36 , pp. 5709-5726
    • Niksirat, M.1    Ghatee, M.2    Mehdi Hashemi, S.3
  • 33
    • 71349085195 scopus 로고    scopus 로고
    • Self-adaptive harmony search algorithm for optimization
    • Wang Chia-Ming, Huang Yin-Fu Self-adaptive harmony search algorithm for optimization. Expert Syst Appl 2010, 37:2826-2837.
    • (2010) Expert Syst Appl , vol.37 , pp. 2826-2837
    • Wang, C.-M.1    Huang, Y.-F.2
  • 34
    • 84885597043 scopus 로고    scopus 로고
    • An analysis on convergence and convergence rate estimate of elitist genetic algorithms in noisy environments
    • Li Jun-hua, Li Ming An analysis on convergence and convergence rate estimate of elitist genetic algorithms in noisy environments. Optik 2013, 124:6780-6785.
    • (2013) Optik , vol.124 , pp. 6780-6785
    • Li, J.-H.1    Li, M.2
  • 35
    • 33750481534 scopus 로고    scopus 로고
    • Particle swarm optimization for function optimization in noisy environment
    • Pan Hui, Wang Ling, Liu Bo Particle swarm optimization for function optimization in noisy environment. Appl Math Comput 2006, 181:908-919.
    • (2006) Appl Math Comput , vol.181 , pp. 908-919
    • Pan, H.1    Wang, L.2    Liu, B.3
  • 36
    • 0033737186 scopus 로고    scopus 로고
    • Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practice
    • Beyer Hans-Georg Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practice. Compute Meth Appl Mech Eng 2000, 186:239-267.
    • (2000) Compute Meth Appl Mech Eng , vol.186 , pp. 239-267
    • Beyer, H.-G.1
  • 37
    • 35148827874 scopus 로고    scopus 로고
    • Technical report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department
    • Karaboga D. An idea based on honey bee swarm for numerical optimization 2005, Technical report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department.
    • (2005) An idea based on honey bee swarm for numerical optimization
    • Karaboga, D.1
  • 38
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony (ABC) algorithm
    • Karaboga D., Basturk B. On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 2008, 8(1):687-697.
    • (2008) Appl Soft Comput , vol.8 , Issue.1 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 39
    • 67349273050 scopus 로고    scopus 로고
    • Acomparative study of artificial bee colony algorithm
    • Karaboga D., Akay B. Acomparative study of artificial bee colony algorithm. Appl Math Comput 2009, 214:108-132.
    • (2009) Appl Math Comput , vol.214 , pp. 108-132
    • Karaboga, D.1    Akay, B.2
  • 40
    • 64149103429 scopus 로고    scopus 로고
    • Anew design method based on artificial bee colony algorithm for digital IIR filters
    • Karaboga N. Anew design method based on artificial bee colony algorithm for digital IIR filters. JFranklin Inst 2009, 346:328-348.
    • (2009) JFranklin Inst , vol.346 , pp. 328-348
    • Karaboga, N.1
  • 41
    • 79953031480 scopus 로고    scopus 로고
    • Adiscrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
    • Pan Q.-K., Fatih Tasgetiren M., Suganthan P.N., Chua T.J. Adiscrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem. Inf Sci 2011, 10.1016/j.ins.2009.12.025.
    • (2011) Inf Sci
    • Pan, Q.-K.1    Fatih Tasgetiren, M.2    Suganthan, P.N.3    Chua, T.J.4
  • 42
    • 67349287577 scopus 로고    scopus 로고
    • Structural inverse analysis by hybrid simplex artificial bee colony algorithms
    • Kang F., Li J., Xu Q. Structural inverse analysis by hybrid simplex artificial bee colony algorithms. Comput Struct 2009, 87:861-870.
    • (2009) Comput Struct , vol.87 , pp. 861-870
    • Kang, F.1    Li, J.2    Xu, Q.3
  • 43
    • 77950189133 scopus 로고    scopus 로고
    • An artificial bee colony approach for clustering
    • Zhang C., Ouyang D., Ning J. An artificial bee colony approach for clustering. Expert Syst Appl 2010, 37:4761-4767.
    • (2010) Expert Syst Appl , vol.37 , pp. 4761-4767
    • Zhang, C.1    Ouyang, D.2    Ning, J.3
  • 44
    • 77957901422 scopus 로고    scopus 로고
    • Anovel clustering approach: Artificial Bee Colony (ABC) algorithm
    • Karaboga D., Ozturk C. Anovel clustering approach: Artificial Bee Colony (ABC) algorithm. Appl Soft Comput 2011, 11:652-657.
    • (2011) Appl Soft Comput , vol.11 , pp. 652-657
    • Karaboga, D.1    Ozturk, C.2
  • 45
    • 75449101766 scopus 로고    scopus 로고
    • An artificial bee colony algorithm for inverse problems
    • Ho S.L., Yang S. An artificial bee colony algorithm for inverse problems. Int J Appl Electromagn Mech 2009, 31:181-192.
    • (2009) Int J Appl Electromagn Mech , vol.31 , pp. 181-192
    • Ho, S.L.1    Yang, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.