A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models
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Jiujun Cheng | Hongwei Dai | Sichen Tao | Kaiyu Wang | Shangce Gao | Ting Jin | Shangce Gao | Hongwei Dai | Jiujun Cheng | Ting Jin | Kaiyu Wang | Sichen Tao
[1] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[2] Yang Yu,et al. A multi-layered gravitational search algorithm for function optimization and real-world problems , 2021, IEEE/CAA Journal of Automatica Sinica.
[3] N. Rajasekar,et al. Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems , 2018 .
[4] Alireza Rezazadeh,et al. Artificial bee swarm optimization algorithm for parameters identification of solar cell models , 2013 .
[5] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[6] D. Maskell,et al. Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm , 2013 .
[7] N. Rajasekar,et al. A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation , 2017 .
[8] Sílvio Mariano,et al. Collaborative swarm intelligence to estimate PV parameters , 2019, Energy Conversion and Management.
[9] Douglas H. Werner,et al. The Wind Driven Optimization Technique and its Application in Electromagnetics , 2013, IEEE Transactions on Antennas and Propagation.
[10] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[11] Guohua Wu,et al. Differential evolution with multi-population based ensemble of mutation strategies , 2016, Inf. Sci..
[12] Jing J. Liang,et al. Evolutionary multi-task optimization for parameters extraction of photovoltaic models , 2020 .
[13] Jiujun Cheng,et al. TDSD: A New Evolutionary Algorithm Based on Triple Distinct Search Dynamics , 2020, IEEE Access.
[14] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[15] Xu Chen,et al. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm , 2017 .
[16] Jing Liang,et al. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models , 2018, Applied Energy.
[17] Wenyin Gong,et al. Comparative study on parameter extraction of photovoltaic models via differential evolution , 2019 .
[18] Hazlie Mokhlis,et al. Photovoltaic electricity generator dynamic modeling methods for smart grid applications: A review , 2016 .
[19] Yang Yu,et al. CBSO: a memetic brain storm optimization with chaotic local search , 2018, Memetic Comput..
[20] N. Kamaraj,et al. Modeling and performance analysis of the solar photovoltaic cell model using Embedded MATLAB , 2015, Simul..
[21] Hany M. Hasanien,et al. Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm , 2020, Energies.
[22] A. Rezaee Jordehi,et al. Parameter estimation of solar photovoltaic (PV) cells: A review , 2016 .
[23] Qingfu Zhang,et al. Enhancing the search ability of differential evolution through orthogonal crossover , 2012, Inf. Sci..
[24] MengChu Zhou,et al. Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks , 2020, IEEE Transactions on Cybernetics.
[25] Vigna K. Ramachandaramurthy,et al. Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models’ parameters , 2020 .
[26] Carlos A. Coello Coello,et al. A comparative study of differential evolution variants for global optimization , 2006, GECCO.
[27] Mohamed A. Awadallah,et al. Variations of the bacterial foraging algorithm for the extraction of PV module parameters from nameplate data , 2016 .
[28] Dong Suk Kim,et al. Stable perovskite solar cells with efficiency exceeding 24.8% and 0.3-V voltage loss , 2020, Science.
[29] A. K. Al-Othman,et al. Simulated Annealing algorithm for photovoltaic parameters identification , 2012 .
[30] Xuesong Yan,et al. A hybrid adaptive teaching–learning-based optimization and differential evolution for parameter identification of photovoltaic models , 2020 .
[31] Tao Yu,et al. Dynamic leader based collective intelligence for maximum power point tracking of PV systems affected by partial shading condition , 2019, Energy Conversion and Management.
[32] Sergio Nesmachnow,et al. An overview of metaheuristics: accurate and efficient methods for optimisation , 2014, Int. J. Metaheuristics.
[33] N. Rajasekar,et al. Analysis on solar PV emulators: A review , 2018 .
[34] Xuesong Yan,et al. Parameter estimation of photovoltaic models with memetic adaptive differential evolution , 2019, Solar Energy.
[35] N. Tong,et al. A parameter extraction technique exploiting intrinsic properties of solar cells , 2016 .
[36] Tao Yu,et al. Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine , 2017 .
[37] Mohammed A. A. Al-qaness,et al. Reliable applied objective for identifying simple and detailed photovoltaic models using modern metaheuristics: Comparative study , 2020 .
[38] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[39] Rabeh Abbassi,et al. An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models , 2019, Energy Conversion and Management.
[40] Yu He,et al. Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm , 2018, Energy Conversion and Management.
[41] Jinyu Wen,et al. Chronological operation simulation framework for regional power system under high penetration of renewable energy using meteorological data , 2017 .
[42] Tansel Dökeroglu,et al. A survey on new generation metaheuristic algorithms , 2019, Comput. Ind. Eng..
[43] Jubaer Ahmed,et al. A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability , 2014 .
[44] J. Carrasco,et al. Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review , 2020, Swarm Evol. Comput..
[45] Alex S. Fukunaga,et al. Success-history based parameter adaptation for Differential Evolution , 2013, 2013 IEEE Congress on Evolutionary Computation.
[46] A. Keyhani,et al. A method for hybrid extraction of single-diode model parameters of photovoltaics , 2020 .
[47] Yalan Zhou,et al. Multiobjective Multiple Neighborhood Search Algorithms for Multiobjective Fleet Size and Mix Location-Routing Problem With Time Windows , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[48] Jiujun Cheng,et al. Understanding differential evolution: A Poisson law derived from population interaction network , 2017, J. Comput. Sci..
[49] R. P. Saini,et al. Mathematical modeling framework of a PV model using novel differential evolution algorithm , 2020 .
[50] Diego Oliva,et al. Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm , 2017 .
[51] Syafaruddin,et al. A comprehensive MATLAB Simulink PV system simulator with partial shading capability based on two-diode model , 2011 .
[52] D. Kler,et al. A novel approach to parameter estimation of photovoltaic systems using hybridized optimizer , 2019, Energy Conversion and Management.
[53] Teuku Meurah Indra Mahlia,et al. Characterization of PV panel and global optimization of its model parameters using genetic algorithm , 2013 .
[54] Anas A. Hadi,et al. Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization , 2019, Swarm Evol. Comput..
[55] Carlos Andrés Ramos-Paja,et al. A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel , 2017, Math. Comput. Simul..
[56] Jing J. Liang,et al. Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution , 2020 .
[57] Xiaoqing Pan,et al. 2D metal–organic framework for stable perovskite solar cells with minimized lead leakage , 2020, Nature Nanotechnology.
[58] Jiahai Wang,et al. Solving multitrip pickup and delivery problem with time windows and manpower planning using multiobjective algorithms , 2020, IEEE/CAA Journal of Automatica Sinica.
[59] Jiujun Cheng,et al. Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[60] Tao Yu,et al. Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition , 2019, Journal of Cleaner Production.
[61] Yiqiao Cai,et al. Differential Evolution With Neighborhood and Direction Information for Numerical Optimization , 2013, IEEE Transactions on Cybernetics.
[62] Alireza Rezazadeh,et al. Parameter identification for solar cell models using harmony search-based algorithms , 2012 .
[63] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[64] Abdellatif Obbadi,et al. Parameters estimation of the single and double diode photovoltaic models using a Gauss–Seidel algorithm and analytical method: A comparative study , 2017 .
[65] Dalia Yousri,et al. Flower Pollination Algorithm based solar PV parameter estimation , 2015 .
[66] W. Yao,et al. Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification , 2020 .
[67] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[68] Li Zeng,et al. Universal analytical solution to the optimum load of the solar cell , 2015 .
[69] Ponnuthurai Nagaratnam Suganthan,et al. Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm , 2019, Renewable Energy.
[70] Heng Wang,et al. Parameter extraction of solar cell models using improved shuffled complex evolution algorithm , 2018, Energy Conversion and Management.
[71] Krishna Busawon,et al. Wind-Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters , 2018, IEEE Journal of Photovoltaics.
[72] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[73] Jing Zhang,et al. Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models , 2020 .
[74] 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 .
[75] Mehmet Fatih Tasgetiren,et al. Differential evolution algorithm with ensemble of parameters and mutation strategies , 2011, Appl. Soft Comput..
[76] Jiujun Cheng,et al. Chaotic Local Search-Based Differential Evolution Algorithms for Optimization , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[77] Dalia Yousri,et al. Parameters extraction of the three diode model for the multi-crystalline solar cell/module using Moth-Flame Optimization Algorithm , 2016 .
[78] Mithulananthan Nadarajah,et al. An improved wind driven optimization algorithm for parameters identification of a triple-diode photovoltaic cell model , 2020 .
[79] P. Wolf,et al. Identification of PV solar cells and modules parameters by combining statistical and analytical methods , 2013 .
[80] T. Easwarakhanthan,et al. Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers , 1986 .
[81] Zhigang Jin,et al. Backtracking search algorithm with reusing differential vectors for parameter identification of photovoltaic models , 2020 .
[82] Leandro dos Santos Coelho,et al. Determination of photovoltaic modules parameters at different operating conditions using a novel bird mating optimizer approach , 2015 .
[83] Yang Yu,et al. Global optimum-based search differential evolution , 2019, IEEE/CAA Journal of Automatica Sinica.
[84] Q. Niu,et al. A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells , 2014 .
[85] Zhigang Jin,et al. Generalized normal distribution optimization and its applications in parameter extraction of photovoltaic models , 2020 .