A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models
暂无分享,去创建一个
Jing J. Liang | J. J. Liang | B. Y. Qu | K. J. Yu | S. L. Ge | B. Qu | Kunjie Yu | Shilei Ge
[1] Ahmad Rezaee Jordehi,et al. Time varying acceleration coefficients particle swarm optimisation (TVACPSO): A new optimisation algorithm for estimating parameters of PV cells and modules , 2016 .
[2] Yong Wang,et al. A hybrid multi-swarm particle swarm optimization to solve constrained optimization problems , 2009, Frontiers of Computer Science in China.
[3] Xu Chen,et al. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm , 2017 .
[4] Bin Xu,et al. Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation , 2018 .
[5] J. Phillips,et al. A comparative study of extraction methods for solar cell model parameters , 1986 .
[6] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[7] Yu He,et al. Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm , 2018, Energy Conversion and Management.
[8] Wei Chu,et al. Handling boundary constraints for particle swarm optimization in high-dimensional search space , 2011, Inf. Sci..
[9] A. Rezaee Jordehi,et al. Gravitational search algorithm with linearly decreasing gravitational constant for parameter estimation of photovoltaic cells , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[10] Jing Liang,et al. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models , 2018, Applied Energy.
[11] Xin Wang,et al. Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization , 2017 .
[12] Wei-Chang Yeh,et al. Simplified swarm optimisation for the solar cell models parameter estimation problem , 2017 .
[13] T. Huang,et al. A hybrid boundary condition for robust particle swarm optimization , 2005, IEEE Antennas and Wireless Propagation Letters.
[14] Huaglory Tianfield,et al. Biogeography-based learning particle swarm optimization , 2016, Soft Computing.
[15] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[16] Kang Li,et al. An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models , 2014 .
[17] Wenxiang Zhao,et al. Parameters identification of solar cell models using generalized oppositional teaching learning based optimization , 2016 .
[18] Mehdi Bigdeli,et al. Very accurate parameter estimation of single- and double-diode solar cell models using a modified artificial bee colony algorithm , 2016 .
[19] A. Ortiz-Conde,et al. New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics , 2006 .
[20] Lei Guo,et al. Parameter identification and sensitivity analysis of solar cell models with cat swarm optimization algorithm , 2016 .
[21] T. Easwarakhanthan,et al. Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers , 1986 .
[22] Sílvio Mariano,et al. A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization , 2018 .