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Journal of Applied Mathematics
Volume 2013, Article ID 362619, 8 pages
http://dx.doi.org/10.1155/2013/362619
Research Article

Parameter Estimation of Photovoltaic Models via Cuckoo Search

1Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool, L69 3BX, UK
2Xi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Dushu Lake, HET, Jiangsu Province 215123, China

Received 27 June 2013; Accepted 11 July 2013

Academic Editor: Xin-She Yang

Copyright © 2013 Jieming Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [74 citations]

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  • Ankur Chaudhary, Arun Prakash Agarwal, Arvind Rana, and Vijay Kumar, “Crow Search Optimization Based Approach for Parameter Estimation of SRGMs,” 2019 Amity International Conference on Artificial Intelligence (AICAI), pp. 583–587, . View at Publisher · View at Google Scholar
  • Shady S. Refaat, Omar H. Abu-Rub, and Hazem Nounou, “ANN based prognostication of the PV panel output power under various environmental conditions,” 2018 IEEE Texas Power and Energy Conference (TPEC), pp. 1–6, . View at Publisher · View at Google Scholar
  • Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Sheng-Uei Guan, and Prudence W. H. Wong, “Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation,” The Scientific World Journal, vol. 2013, pp. 1–7, 2013. View at Publisher · View at Google Scholar
  • Iztok Fister Jr., Dušan Fister, and Iztok Fistar, “A comprehensive review of Cuckoo search: Variants and hybrids,” International Journal of Mathematical Modelling and Numerical Optimisation, vol. 4, no. 4, pp. 387–409, 2013. View at Publisher · View at Google Scholar
  • Javier Cubas, Santiago Pindado, and Carlos de Manuel, “Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function,” Energies, vol. 7, no. 7, pp. 4098–4115, 2014. View at Publisher · View at Google Scholar
  • Jingshu Sang, Shuxian Lun, and Tingting Guo, “A new six-parameter model for solar cell parameters based on padé approximants,” Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2014, pp. 356–361, 2014. View at Publisher · View at Google Scholar
  • Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong, Toting O. Ting, Nan Zhang, Jieming Ma, Sheng Uei Guan, Ka Lok Man, and Prudence W.H. Wong, “Estimation and revision: A framework for maximum power point tracking on partially shaded photovoltaic arrays,” Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014, pp. 162–165, 2014. View at Publisher · View at Google Scholar
  • Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong, Ting, Nan Zhang, Jieming Ma, Sheng Uei Guan, Ka Lok Man, and Prudence W.H. Wong, “Accelerating parameter estimation for photovoltaic models via parallel particle swarm optimization,” Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014, pp. 175–178, 2014. View at Publisher · View at Google Scholar
  • Nursabillilah Mohd Ali, Ezreen Farina Shair, Shen Yang Khor, Abdul Rahim Abdullah, Hazriq Izzuan Jaafar, and Amar Faiz Zainal Abidin, “A brief review of Cuckoo Search Algorithm (CSA) research progression from 2010 to 2013,” International Review of Automatic Control, vol. 7, no. 5, pp. 428–435, 2014. View at Publisher · View at Google Scholar
  • T. O. Ting, Ka Lok Man, Eng Gee Lim, and Mark Leach, “Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery Management System,” The Scientific World Journal, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Vun Jack Chin, Zainal Salam, and Kashif Ishaque, “Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review,” Applied Energy, vol. 154, pp. 500–519, 2015. View at Publisher · View at Google Scholar
  • D.F. Alam, D.A. Yousri, and M.B. Eteiba, “Flower Pollination Algorithm based solar PV parameter estimation,” Energy Conversion and Management, vol. 101, pp. 410–422, 2015. View at Publisher · View at Google Scholar
  • Debashisha Jena, and Vanjari Venkata Ramana, “Modeling of photovoltaic system for uniform and non-uniform irradiance: A critical review,” Renewable and Sustainable Energy Reviews, vol. 52, pp. 400–417, 2015. View at Publisher · View at Google Scholar
  • Jieming Ma, Ka Lok Man, Sheng-Uei Guan, T. O. Ting, and Prudence W. H. Wong, “Parameter estimation of photovoltaic model via parallel particle swarm optimization algorithm,” International Journal of Energy Research, 2015. View at Publisher · View at Google Scholar
  • Attia El-Fergany, “Efficient Tool to Characterize Photovoltaic Generating Systems Using Mine Blast Algorithm,” Electric Power Components and Systems, vol. 43, no. 8-10, pp. 890–901, 2015. View at Publisher · View at Google Scholar
  • Tiew On Ting, Jieming Ma, Kyeong Soo Kim, and Kaizhu Huang, “Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Nicolas Barth, Raka Jovanovic, Saïd Ahzi, and Mohammad A. Khaleel, “PV panel single and double diode models: Optimization of the parameters and temperature dependence,” Solar Energy Materials and Solar Cells, 2015. View at Publisher · View at Google Scholar
  • Shu-xian Lun, Jing-shu Sang, and Ting-ting Guo, “A New Six-Parameter Model Based on Chebyshev Polynomials for Solar Cells,” Mathematical Problems in Engineering, vol. 2015, pp. 1–13, 2015. View at Publisher · View at Google Scholar
  • Santiago Pindado, Javier Cubas, and Félix Sorribes-Palmer, “On the Analytical Approach to Present Engineering Problems: Photovoltaic Systems Behavior, Wind Speed Sensors Performance, and High-Speed Train Pressure Wave Effects in Tunnels,” Mathematical Problems in Engineering, vol. 2015, pp. 1–17, 2015. View at Publisher · View at Google Scholar
  • Yourim Yoon, and Zong Woo Geem, “Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm,” International Journal of Photoenergy, vol. 2015, pp. 1–7, 2015. View at Publisher · View at Google Scholar
  • Ivana Šegrt, Igor Petrović, and Zoran Vrhovski, “Validation of methods for PV module characterization,” International Review of Electrical Engineering, vol. 10, no. 4, pp. 537–543, 2015. View at Publisher · View at Google Scholar
  • Jieming Ma, Ting, Huiqing Wen, Baochuan Fu, Jianmin Ban, Jieming Ma, T. O. Ting, Huiqing Wen, Baochuan Fu, and Jianmin Ban, “Gpu-based parameter estimation method for photovoltaic electrical models,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9243, pp. 298–307, 2015. View at Publisher · View at Google Scholar
  • Ziqiang Bi, Jieming Ma, Xinyu Pan, Jian Wang, and Yu Shi, “ANFIS-Based Modeling for Photovoltaic Characteristics Estimation,” Symmetry, vol. 8, no. 9, pp. 96, 2016. View at Publisher · View at Google Scholar
  • Hussain Shareef, and Reza Sirjani, “Parameter extraction of solar cell models using the lightning search algorithm in different weather conditions,” Journal of Solar Energy Engineering, Transactions of the ASME, vol. 138, no. 4, 2016. View at Publisher · View at Google Scholar
  • Jieming Ma, Ziqiang Bi, Tiew On Ting, Shiyuan Hao, and Wanjun Hao, “Comparative performance on photovoltaic model parameter identification via bio-inspired algorithms,” Solar Energy, vol. 132, pp. 606–616, 2016. View at Publisher · View at Google Scholar
  • Raka Jovanovic, Sabre Kais, and Fahhad H. Alharbi, “Cuckoo search inspired hybridization of the Nelder-Mead simplex algorithm applied to optimization of photovoltaic cells,” Applied Mathematics and Information Sciences, vol. 10, no. 3, pp. 961–973, 2016. View at Publisher · View at Google Scholar
  • Adelaide U. P. Hain, Alexia S. Miller, Jelena Levitskaya, and Juergen Bosch, “Virtual Screening and Experimental Validation Identify Novel Inhibitors of the Plasmodium falciparum Atg8-Atg3 Protein-Protein Interaction,” Chemmedchem, vol. 11, no. 8, pp. 900–910, 2016. View at Publisher · View at Google Scholar
  • Xu Chen, Kunjie Yu, Wenli Du, Wenxiang Zhao, and Guohai Liu, “Parameters identification of solar cell models using generalized oppositional teaching learning based optimization,” Energy, vol. 99, pp. 170–180, 2016. View at Publisher · View at Google Scholar
  • M.H. Deihimi, R.A. Naghizadeh, and A. Fattahi Meyabadi, “Systematic derivation of parameters of one exponential model for photovoltaic modules using numerical information of data sheet,” Renewable Energy, vol. 87, pp. 676–685, 2016. View at Publisher · View at Google Scholar
  • R. Muralidharan, “Parameter extraction of solar photovoltaic cells and modules using current–voltage characteristics,” International Journal of Ambient Energy, pp. 1–5, 2016. View at Publisher · View at Google Scholar
  • Jingwei Zhang, Ling Chen, and Wei Han, “Shadow judgment method for photovoltaic module based on peak counting and parameter identification,” Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, vol. 44, no. 23, pp. 125–132, 2016. View at Publisher · View at Google Scholar
  • Rabah Benkercha, Samir Moulahoum, Ilhami Colak, and Bilal Taghezouit, “PV module parameters extraction with maximum power point estimation based on flower pollination algorithm,” Proceedings - 2016 IEEE International Power Electronics and Motion Control Conference, PEMC 2016, pp. 442–449, 2016. View at Publisher · View at Google Scholar
  • El-Hameed, El-Fergany, El-Arini, and Ali, “Parameter extraction of photovoltaic generating units using multi-verse optimizer,” Sustainable Energy Technologies and Assessments, vol. 17, pp. 68–76, 2016. View at Publisher · View at Google Scholar
  • Jieming Ma, Jianmin Ban, Ziqiang Bi, Wanjun Hao, Xinyu Pan, Jian Wang, and Ka Lok Man, “Modeling and simulation of PV modules based on ANFIS,” Lecture Notes in Electrical Engineering, vol. 393, pp. 365–371, 2016. View at Publisher · View at Google Scholar
  • Xin-She Yang, Suash Deb, Yu-Xin Zhao, Simon Fong, and Xingshi He, “Swarm intelligence: past, present and future,” Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Kunjie Yu, Xu Chen, Xin Wang, and Zhenlei Wang, “Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization,” Energy Conversion and Management, vol. 145, pp. 233–246, 2017. View at Publisher · View at Google Scholar
  • Muhammad Ali Mughal, Qishuang Ma, and Chunyan Xiao, “Photovoltaic Cell Parameter Estimation Using Hybrid Particle Swarm Optimization and Simulated Annealing,” Energies, vol. 10, no. 8, pp. 1213, 2017. View at Publisher · View at Google Scholar
  • Wei-Chang Yeh, Peijie Lin, and Chia-Ling Huang, “Simplified swarm optimisation for the solar cell models parameter estimation problem,” IET Renewable Power Generation, vol. 11, no. 8, pp. 1166–1173, 2017. View at Publisher · View at Google Scholar
  • P. Ashwini Kumari, and P. Geethanjali, “Adaptive Genetic Algorithm Based Multi-Objective Optimization for Photovoltaic Cell Design Parameter Extraction,” Energy Procedia, vol. 117, pp. 432–441, 2017. View at Publisher · View at Google Scholar
  • Senturk, and Eke, “A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values,” Renewable Energy, vol. 103, pp. 58–69, 2017. View at Publisher · View at Google Scholar
  • Ahmed Fathy, and Hegazy Rezk, “Parameter estimation of photovoltaic system using imperialist competitive algorithm,” Renewable Energy, 2017. View at Publisher · View at Google Scholar
  • O. Nadjemi, T. Nacer, A. Hamidat, and H. Salhi, “Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms,” Renewable and Sustainable Energy Reviews, vol. 70, pp. 1352–1365, 2017. View at Publisher · View at Google Scholar
  • Peijie Lin, Shuying Cheng, Weichang Yeh, Zhicong Chen, and Lijun Wu, “Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm,” Solar Energy, vol. 144, pp. 594–603, 2017. View at Publisher · View at Google Scholar
  • Yan Xu, and Weijia Jin, “Improvement of parameter identification method for the photovoltaic cell,” Optik, vol. 132, pp. 134–141, 2017. View at Publisher · View at Google Scholar
  • Mohammad Shehab, Ahamad Tajudin Khader, and Mohammed Azmi Al-Betar, “A survey on applications and variants of the cuckoo search algorithm,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Sangram Bana, and Saini, “Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints,” Renewable Energy, vol. 101, pp. 1299–1310, 2017. View at Publisher · View at Google Scholar
  • Dhruv Kler, Pallavi Sharma, Ashish Banerjee, K.P.S. Rana, and Vineet Kumar, “PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm,” Swarm and Evolutionary Computation, 2017. View at Publisher · View at Google Scholar
  • Jieming Ma, Haochuan Jiang, Kaizhu Huang, Ziqiang Bi, and Ka Lok Man, “Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 12, pp. 3183–3191, 2017. View at Publisher · View at Google Scholar
  • Rani, Wang, Busawon, Derick, Rajesh, and Farrag, “An improved optimization technique for estimation of solar photovoltaic parameters,” Solar Energy, vol. 157, pp. 116–124, 2017. View at Publisher · View at Google Scholar
  • Hegazy Rezk, and Ahmed Fathy, “A novel optimal parameters identification of triple-junction solar cell based on a recently meta-heuristic water cycle algorithm,” Solar Energy, vol. 157, pp. 778–791, 2017. View at Publisher · View at Google Scholar
  • Heshan Wang, Kunjie Yu, Liang, Qu, and Xu Chen, “Parameters identification of photovoltaic models using an improved JAYA optimization algorithm,” Energy Conversion and Management, vol. 150, pp. 742–753, 2017. View at Publisher · View at Google Scholar
  • Fahad Rasool, Micheal Drieberg, Balbir Singh, Nasreen Badruddin, and Mahinder Singh, “Modeling of PV panels performance based on datasheet values for solar micro energy harvesting,” International Conference on Intelligent and Advanced Systems, ICIAS 2016, 2017. View at Publisher · View at Google Scholar
  • Nasreen Badruddin, Balbir Singh Mahinder Singh, Fahad Rasool, and Micheal Drieberg, “PV panel modeling with improved parameter extraction technique,” Solar Energy, vol. 153, pp. 519–530, 2017. View at Publisher · View at Google Scholar
  • Yan Cui, Guangyin Xu, Xiankun Gao, Jianjun Hu, and Nadeem Tahir, “Performance comparison of exponential, Lambert W function and Special Trans function based single diode solar cell models,” Energy Conversion and Management, vol. 171, pp. 1822–1842, 2018. View at Publisher · View at Google Scholar
  • Liang, Qu, Zhiping Cheng, Heshan Wang, and Kunjie Yu, “Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models,” Applied Energy, vol. 226, pp. 408–422, 2018. View at Publisher · View at Google Scholar
  • G. Kanimozhi, and Harish Kumar, “Modeling of solar cell under different conditions by Ant Lion Optimizer with LambertW function,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • P. Ashwini Kumari, and P. Geethanjali, “Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey,” Renewable and Sustainable Energy Reviews, vol. 84, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Sahand Karimi Arpanahi, and Omid Mirzapour, “Photovoltaic parameter estimation using heuristic optimization,” 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation, KBEI 2017, vol. 2018-, pp. 0792–0797, 2018. View at Publisher · View at Google Scholar
  • Yan Cui, Jianjun Hu, Guangyin Xu, Zhenfeng Wang, Jianhua Qu, Heng Wang, and Xiankun Gao, “Parameter extraction of solar cell models using improved shuffled complex evolution algorithm,” Energy Conversion and Management, vol. 157, pp. 460–479, 2018. View at Publisher · View at Google Scholar
  • H.G.G. Nunes, J.A.N. Pombo, S.J.P.S. Mariano, M.R.A. Calado, and J.A.M. Felippe de Souza, “A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization,” Applied Energy, vol. 211, pp. 774–791, 2018. View at Publisher · View at Google Scholar
  • Xu Chen, Bin Xu, Congli Mei, Yuhan Ding, and Kangji Li, “Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation,” Applied Energy, vol. 212, pp. 1578–1588, 2018. View at Publisher · View at Google Scholar
  • J.E. Solís-Pérez, J.F. Gómez-Aguilar, L. Torres, R.F. Escobar-Jiménez, and J. Reyes-Reyes, “Fitting of experimental data using a fractional Kalman-like observer,” ISA Transactions, 2018. View at Publisher · View at Google Scholar
  • Kata N’Detigma, Diouf Djicknoum, M. Soro Y., Darga Arouna, and Seidou Maiga Amadou, “Module parameter extraction and simulation with LTSpice software model in sub-Saharan outdoor conditions,” African Journal of Environmental Science and Technology, vol. 12, no. 12, pp. 523–531, 2018. View at Publisher · View at Google Scholar
  • Bilal Taghezouit, Rabah Benkercha, and Samir Moulahoum, “Parameters extraction of single and double diode model using the flower algorithm,” PVCon 2018 - International Conference on Photovoltaic Science and Technologies, 2018. View at Publisher · View at Google Scholar
  • Jieming Ma, Ka Lok Man, Huiqing Wen, Xinyu Pan, Xingshuo Li, and Tiew On Ting, “Detection and Assessment of Partial Shading Scenarios on Photovoltaic Strings,” IEEE Transactions on Industry Applications, vol. 54, no. 6, pp. 6279–6289, 2018. View at Publisher · View at Google Scholar
  • Ho Pham Huy Anh, Nguyen Ngoc Son, Cao Van Kien, and V. Ho-Huu, “Parameter identification using adaptive differential evolution algorithm applied to robust control of uncertain nonlinear systems,” Applied Soft Computing, vol. 71, pp. 672–684, 2018. View at Publisher · View at Google Scholar
  • Luz Elena Peñaranda Chenche, Oscar Saul Hernandez Mendoza, and Enio Pedone Bandarra Filho, “Comparison of four methods for parameter estimation of mono- and multi-junction photovoltaic devices using experimental data,” Renewable and Sustainable Energy Reviews, vol. 81, pp. 2823–2838, 2018. View at Publisher · View at Google Scholar
  • Derick Mathew, Chinnappa Rani, Muthu Rajesh Kumar, Yue Wang, Richard Binns, and Krishna Busawon, “Wind-Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters,” IEEE Journal of Photovoltaics, vol. 8, no. 1, pp. 248–256, 2018. View at Publisher · View at Google Scholar
  • Jieming Ma, Haochuan Jiang, Kaizhu Huang, Ziqiang Bi, Xingshuo Li, and Huiqing Wen, “Maximum Power Point Estimation for Photovoltaic Strings Subjected to Partial Shading Scenarios,” IEEE Transactions on Industry Applications, pp. 1–1, 2018. View at Publisher · View at Google Scholar
  • Byamakesh Nayak, Alivarani Mohapatra, and Kanungo Barada Mohanty, “Parameter estimation of single diode PV module based on Nelder-Mead optimization algorithm,” World Journal of Engineering, vol. 15, no. 1, pp. 70–81, 2018. View at Publisher · View at Google Scholar
  • Intissar Khoja, Taoufik Ladhari, Faouzi M’sahli, and Anis Sakly, “Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Sid-ali Blaifi, Samir Moulahoum, Bilal Taghezouit, and Abdelhakim Saim, “An enhanced dynamic modeling of PV module using Levenberg-Marquardt algorithm,” Renewable Energy, vol. 135, pp. 745–760, 2019. View at Publisher · View at Google Scholar
  • Xu Chen, and Kunjie Yu, “Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters,” Solar Energy, vol. 180, pp. 192–206, 2019. View at Publisher · View at Google Scholar
  • Vun Jack Chin, and Zainal Salam, “A New Three-point-based Approach for the Parameter Extraction of Photovoltaic Cells,” Applied Energy, vol. 237, pp. 519–533, 2019. View at Publisher · View at Google Scholar