{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T16:43:50Z","timestamp":1742921030584,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031075117"},{"type":"electronic","value":"9783031075124"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-07512-4_6","type":"book-chapter","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T18:04:04Z","timestamp":1661969044000},"page":"157-195","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parameter Estimation of Per-Unit Photovoltaic Models Using Optimization Algorithms: Comparative Study"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6029-7032","authenticated-orcid":false,"given":"H. G. G.","family":"Nunes","sequence":"first","affiliation":[]},{"given":"J. P. A.","family":"Portugal","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8727-0067","authenticated-orcid":false,"given":"J. A. N.","family":"Pombo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6102-5872","authenticated-orcid":false,"given":"S. J. P. S.","family":"Mariano","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5206-487X","authenticated-orcid":false,"given":"M. R. A.","family":"Calado","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"6_CR1","unstructured":"IRENA.: Future of solar photovoltaic: deployment, investment, technology, grid integration and socio-economic aspects (A Global Energy Transformation: paper) (2019)"},{"key":"6_CR2","doi-asserted-by":"publisher","first-page":"1198","DOI":"10.1109\/TPEL.2009.2013862","volume":"24","author":"MG Villalva","year":"2009","unstructured":"Villalva, M.G., Gazoli, J.R., Filho, E.R.: Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans. Power Electron. 24, 1198\u20131208 (2009). https:\/\/doi.org\/10.1109\/TPEL.2009.2013862","journal-title":"IEEE Trans. Power Electron."},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1016\/j.solmat.2010.09.023","volume":"95","author":"K Ishaque","year":"2011","unstructured":"Ishaque, K., Salam, Z., Taheri, H.: Simple, fast and accurate two-diode model for photovoltaic modules. Sol. Energy Mater. Sol. Cells 95, 586\u2013594 (2011). https:\/\/doi.org\/10.1016\/j.solmat.2010.09.023","journal-title":"Sol. Energy Mater. Sol. Cells"},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.renene.2014.12.072","volume":"78","author":"V Khanna","year":"2015","unstructured":"Khanna, V., Das, B.K., Bisht, D., et al.: A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm. Renew. Energy 78, 105\u2013113 (2015). https:\/\/doi.org\/10.1016\/j.renene.2014.12.072","journal-title":"Renew. Energy"},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"4181","DOI":"10.1109\/TIE.2015.2390193","volume":"62","author":"LHI Lim","year":"2015","unstructured":"Lim, L.H.I., Ye, Z., Ye, J., et al.: A linear identification of diode models from single I\u2013V characteristics of PV panels. IEEE Trans. Ind. Electron. 62, 4181\u20134193 (2015). https:\/\/doi.org\/10.1109\/TIE.2015.2390193","journal-title":"IEEE Trans. Ind. Electron."},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"6371","DOI":"10.1109\/TIE.2015.2420617","volume":"62","author":"JJ Soon","year":"2015","unstructured":"Soon, J.J., Low, K.-S.: Optimizing photovoltaic model for different cell technologies using a generalized multidimension diode model. IEEE Trans. Ind. Electron. 62, 6371\u20136380 (2015). https:\/\/doi.org\/10.1109\/TIE.2015.2420617","journal-title":"IEEE Trans. Ind. Electron."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/J.APENERGY.2017.11.078","volume":"211","author":"HGG Nunes","year":"2018","unstructured":"Nunes, H.G.G., Pombo, J.A.N., Mariano, S.J.P.S., et al.: A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization. Appl. Energy 211, 774\u2013791 (2018). https:\/\/doi.org\/10.1016\/J.APENERGY.2017.11.078","journal-title":"Appl. Energy"},{"key":"6_CR8","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1016\/j.renene.2016.11.007","volume":"103","author":"S Pindado","year":"2017","unstructured":"Pindado, S., Cubas, J.: Simple mathematical approach to solar cell\/panel behavior based on datasheet information. Renew. Energy 103, 729\u2013738 (2017). https:\/\/doi.org\/10.1016\/j.renene.2016.11.007","journal-title":"Renew. Energy"},{"key":"6_CR9","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/J.APENERGY.2019.05.013","volume":"250","author":"MH Qais","year":"2019","unstructured":"Qais, M.H., Hasanien, H.M., Alghuwainem, S.: Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm. Appl. Energy 250, 109\u2013117 (2019). https:\/\/doi.org\/10.1016\/J.APENERGY.2019.05.013","journal-title":"Appl. Energy"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/J.SWEVO.2019.01.003","volume":"45","author":"X Chen","year":"2019","unstructured":"Chen, X., Tianfield, H., Li, K.: Self-adaptive differential artificial bee colony algorithm for global optimization problems. Swarm. Evol. Comput. 45, 70\u201391 (2019). https:\/\/doi.org\/10.1016\/J.SWEVO.2019.01.003","journal-title":"Swarm. Evol. Comput."},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/01425918608909835","volume":"4","author":"T Easwarakhanthan","year":"1986","unstructured":"Easwarakhanthan, T., Bottin, J., Bouhouch, I., Boutrit, C.: Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. Int. J. Sol. Energy 4, 1\u201312 (1986). https:\/\/doi.org\/10.1080\/01425918608909835","journal-title":"Int. J. Sol. Energy"},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1016\/j.solener.2014.09.043","volume":"110","author":"AK Tossa","year":"2014","unstructured":"Tossa, A.K., Soro, Y.M., Azoumah, Y., Yamegueu, D.: A new approach to estimate the performance and energy productivity of photovoltaic modules in real operating conditions. Sol. Energy 110, 543\u2013560 (2014). https:\/\/doi.org\/10.1016\/j.solener.2014.09.043","journal-title":"Sol. Energy"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/J.APENERGY.2018.09.161","volume":"232","author":"L Wu","year":"2018","unstructured":"Wu, L., Chen, Z., Long, C., et al.: Parameter extraction of photovoltaic models from measured I\u2013V characteristics curves using a hybrid trust-region reflective algorithm. Appl. Energy 232, 36\u201353 (2018). https:\/\/doi.org\/10.1016\/J.APENERGY.2018.09.161","journal-title":"Appl. Energy"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1016\/j.enconman.2019.02.003","volume":"185","author":"HGG Nunes","year":"2019","unstructured":"Nunes, H.G.G., Pombo, J.A.N., Bento, P.M.R., et al.: Collaborative swarm intelligence to estimate PV parameters. Energy Convers. Manag. 185, 866\u2013890 (2019). https:\/\/doi.org\/10.1016\/j.enconman.2019.02.003","journal-title":"Energy Convers. Manag."},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1016\/j.solener.2014.02.014","volume":"103","author":"A Laudani","year":"2014","unstructured":"Laudani, A., Riganti Fulginei, F., Salvini, A.: High performing extraction procedure for the one-diode model of a photovoltaic panel from experimental I\u2013V curves by using reduced forms. Sol. Energy 103, 316\u2013326 (2014). https:\/\/doi.org\/10.1016\/j.solener.2014.02.014","journal-title":"Sol. Energy"},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1016\/j.solener.2020.07.051","volume":"207","author":"AK Panchal","year":"2020","unstructured":"Panchal, A.K.: A per-unit-single-diode-model parameter extraction algorithm: a high-quality solution without reduced-dimensions search. Sol. Energy 207, 1070\u20131077 (2020). https:\/\/doi.org\/10.1016\/j.solener.2020.07.051","journal-title":"Sol. Energy"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.enconman.2015.05.074","volume":"101","author":"DF Alam","year":"2015","unstructured":"Alam, D.F., Yousri, D.A., Eteiba, M.B.: Flower pollination algorithm based solar PV parameter estimation. Energy Convers. Manag. 101, 410\u2013422 (2015). https:\/\/doi.org\/10.1016\/j.enconman.2015.05.074","journal-title":"Energy Convers. Manag."},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"4037","DOI":"10.3390\/en13154037","volume":"13","author":"AT Kiani","year":"2020","unstructured":"Kiani, A.T., Nadeem, M.F., Ahmed, A., et al.: Optimal PV parameter estimation via double exponential function-based dynamic inertia weight particle swarm optimization. Energies 13, 4037 (2020). https:\/\/doi.org\/10.3390\/en13154037","journal-title":"Energies"},{"key":"6_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113395","volume":"224","author":"G Xiong","year":"2020","unstructured":"Xiong, G., Zhang, J., Shi, D., et al.: Parameter extraction of solar photovoltaic models with an either-or teaching learning based algorithm. Energy Convers. Manag. 224, 113395 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.113395","journal-title":"Energy Convers. Manag."},{"key":"6_CR20","doi-asserted-by":"publisher","first-page":"119668","DOI":"10.1109\/ACCESS.2020.3005236","volume":"8","author":"AAZ Diab","year":"2020","unstructured":"Diab, A.A.Z., Sultan, H.M., Aljendy, R., et al.: Tree growth based optimization algorithm for parameter extraction of different models of photovoltaic cells and modules. IEEE Access 8, 119668\u2013119687 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3005236","journal-title":"IEEE Access"},{"key":"6_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.112990","volume":"217","author":"AM Agwa","year":"2020","unstructured":"Agwa, A.M., El-Fergany, A.A., Maksoud, H.A.: Electrical characterization of photovoltaic modules using farmland fertility optimizer. Energy Convers. Manag. 217, 112990 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.112990","journal-title":"Energy Convers. Manag."},{"key":"6_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.118644","volume":"211","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Ma, M., Jin, Z.: Comprehensive learning Jaya algorithm for parameter extraction of photovoltaic models. Energy 211, 118644 (2020). https:\/\/doi.org\/10.1016\/j.energy.2020.118644","journal-title":"Energy"},{"key":"6_CR23","doi-asserted-by":"publisher","first-page":"35979","DOI":"10.1109\/ACCESS.2020.2975078","volume":"8","author":"Q Hao","year":"2020","unstructured":"Hao, Q., Zhou, Z., Wei, Z., Chen, G.: Parameters identification of photovoltaic models using a multi-strategy success-history-based adaptive differential evolution. IEEE Access 8, 35979\u201335994 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2975078","journal-title":"IEEE Access"},{"key":"6_CR24","doi-asserted-by":"publisher","first-page":"111102","DOI":"10.1109\/ACCESS.2020.3000770","volume":"8","author":"AAZ DIab","year":"2020","unstructured":"DIab, A.A.Z., Sultan, H.M., Do, T.D., et al.: Coyote optimization algorithm for parameters estimation of various models of solar cells and PV modules. IEEE Access 8, 111102\u2013111140 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3000770","journal-title":"IEEE Access"},{"key":"6_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113114","volume":"221","author":"LMP Deotti","year":"2020","unstructured":"Deotti, L.M.P., Pereira, J.L.R., da Silva J\u00fanior, I.C.: Parameter extraction of photovoltaic models using an enhanced L\u00e9vy flight bat algorithm. Energy Convers. Manag. 221, 113114 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.113114","journal-title":"Energy Convers. Manag."},{"key":"6_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113266","volume":"223","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Huang, C., Jin, Z.: Backtracking search algorithm with reusing differential vectors for parameter identification of photovoltaic models. Energy Convers. Manag. 223, 113266 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.113266","journal-title":"Energy Convers. Manag."},{"key":"6_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENCONMAN.2021.114030","volume":"237","author":"KM Sallam","year":"2021","unstructured":"Sallam, K.M., Hossain, M.A., Chakrabortty, R.K., Ryan, M.J.: An improved gaining-sharing knowledge algorithm for parameter extraction of photovoltaic models. Energy Convers. Manag. 237, 114030 (2021). https:\/\/doi.org\/10.1016\/J.ENCONMAN.2021.114030","journal-title":"Energy Convers. Manag."},{"key":"6_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.112764","volume":"211","author":"H Zhang","year":"2020","unstructured":"Zhang, H., Heidari, A.A., Wang, M., et al.: Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules. Energy Convers. Manag. 211, 112764 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.112764","journal-title":"Energy Convers. Manag."},{"key":"6_CR29","doi-asserted-by":"publisher","unstructured":"Yousri D, Rezk H, Fathy A (2020) Identifying the parameters of different configurations of photovoltaic models based on recent artificial ecosystem\u2010based optimization approach. Int. J. Energy Res. 1\u201321. https:\/\/doi.org\/10.1002\/er.5747","DOI":"10.1002\/er.5747"},{"key":"6_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113301","volume":"224","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Jin, Z., Mirjalili, S.: Generalized normal distribution optimization and its applications in parameter extraction of photovoltaic models. Energy Convers. Manag. 224, 113301 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.113301","journal-title":"Energy Convers. Manag."},{"key":"6_CR31","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1007\/S13042-019-01053-X","volume":"11","author":"AW Mohamed","year":"2020","unstructured":"Mohamed, A.W., Hadi, A.A., Mohamed, A.K.: Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm. Int. J. Mach. Learn. Cybern. 11, 1501\u20131529 (2020). https:\/\/doi.org\/10.1007\/S13042-019-01053-X","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"6_CR32","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn, R., Price, K.: Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11, 341\u2013359 (1997). https:\/\/doi.org\/10.1023\/A:1008202821328","journal-title":"J. Glob. Optim."},{"key":"6_CR33","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/978-3-642-32894-7_27","volume-title":"International Conference on Unconventional Computing and Natural Computation","author":"X-S Yang","year":"2012","unstructured":"Yang, X.-S.: Flower pollination algorithm for global optimization. In: International Conference on Unconventional Computing and Natural Computation, pp. 240\u2013249. Springer, Berlin, Heidelberg (2012)"},{"key":"6_CR34","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"6_CR35","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/J.ADVENGSOFT.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46\u201361 (2014). https:\/\/doi.org\/10.1016\/J.ADVENGSOFT.2013.12.007","journal-title":"Adv. Eng. Softw."},{"key":"6_CR36","doi-asserted-by":"publisher","unstructured":"Cotfas, D.T., Deaconu, A.M., Cotfas, P.A.: Hybrid successive discretisation algorithm used to calculate parameters of the photovoltaic cells and panels for existing datasets. IET Renew. Power Gener. 1\u201327 (2021). https:\/\/doi.org\/10.1049\/RPG2.12262","DOI":"10.1049\/RPG2.12262"},{"key":"6_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.116247","volume":"189","author":"X Chen","year":"2019","unstructured":"Chen, X., Yue, H., Yu, K.: Perturbed stochastic fractal search for solar PV parameter estimation. Energy 189, 116247 (2019). https:\/\/doi.org\/10.1016\/j.energy.2019.116247","journal-title":"Energy"},{"key":"6_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.112113","volume":"201","author":"X Yang","year":"2019","unstructured":"Yang, X., Gong, W., Wang, L.: Comparative study on parameter extraction of photovoltaic models via differential evolution. Energy Convers. Manag. 201, 112113 (2019). https:\/\/doi.org\/10.1016\/j.enconman.2019.112113","journal-title":"Energy Convers. Manag."},{"key":"6_CR39","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1016\/J.ENCONMAN.2019.06.037","volume":"196","author":"DT Cotfas","year":"2019","unstructured":"Cotfas, D.T., Deaconu, A.M., Cotfas, P.A.: Application of successive discretization algorithm for determining photovoltaic cells parameters. Energy Convers. Manag. 196, 545\u2013556 (2019). https:\/\/doi.org\/10.1016\/J.ENCONMAN.2019.06.037","journal-title":"Energy Convers. Manag."},{"key":"6_CR40","doi-asserted-by":"publisher","first-page":"112243","DOI":"10.1016\/j.enconman.2019.112243","volume":"203","author":"W Long","year":"2020","unstructured":"Long, W., Cai, S., Jiao, J., et al.: A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models. Energy Convers. Manag. 203, 112243 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2019.112243","journal-title":"Energy Convers. Manag."},{"key":"6_CR41","doi-asserted-by":"publisher","first-page":"114223","DOI":"10.1016\/J.ENCONMAN.2021.114223","volume":"243","author":"X Weng","year":"2021","unstructured":"Weng, X., Heidari, A.A., Liang, G., et al.: Laplacian Nelder-Mead spherical evolution for parameter estimation of photovoltaic models. Energy Convers. Manag. 243, 114223 (2021). https:\/\/doi.org\/10.1016\/J.ENCONMAN.2021.114223","journal-title":"Energy Convers. Manag."},{"key":"6_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113388","volume":"225","author":"HGG Nunes","year":"2020","unstructured":"Nunes, H.G.G., Silva, P.N.C., Pombo, J.A.N., et al.: Multiswarm spiral leader particle swarm optimisation algorithm for PV parameter identification. Energy Convers. Manag. 225, 113388 (2020). https:\/\/doi.org\/10.1016\/j.enconman.2020.113388","journal-title":"Energy Convers. Manag."}],"container-title":["Studies in Systems, Decision and Control","Handbook of Nature-Inspired Optimization Algorithms: The State of the Art"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07512-4_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T00:40:45Z","timestamp":1727916045000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07512-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031075117","9783031075124"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07512-4_6","relation":{},"ISSN":["2198-4182","2198-4190"],"issn-type":[{"type":"print","value":"2198-4182"},{"type":"electronic","value":"2198-4190"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}