Modeling Single Diode PV using Particle Swarm Optimization (PSO ) Techniques

Öz

The photovoltaic (PV) systems have grown in popularity in recent decades as one of the most cost-effective renewable energy resources that convert solar energy to electric energy. A reliable and accurate PV system model design is required to estimate the performance of a PV system before it is deployed. The proposed model is based on the single diode model (SDM), which gives a comprehensive simulation of the influence of irradiance and temperature on PV module parameters following the characteristics I-V or P-V requires of five parameters. The particle swarm optimization (PSO) technique to characterize the equivalent accurate PV module is used to extract model parameters by finding the optimum solution. The approach of parameter estimation and evaluation and model assessment in Matlab. The simulation results show that the proposed technique works well for modeling both the solar cell and the module.

Anahtar Kelimeler

• Solar cell
• PV
• Single diode
• Parameter estimation
• PSO

Modeling Single Diode PV using Particle Swarm Optimization (PSO ) Techniques

Öz

Kaynakça

1. Bana, Sangram, and R. P. Saini. 2017. “Identification of Unknown Parameters of a Single Diode Photovoltaic Model Using Particle Swarm Optimization with Binary Constraints.” Renewable Energy 101: 1299–1310. http://dx.doi.org/10.1016/j.renene.2016.10.010.
2. Carrero, C., J. Amador, and S. Arnaltes. 2007. “A Single Procedure for Helping PV Designers to Select Silicon PV Modules and Evaluate the Loss Resistances.” Renewable Energy 32(15): 2579–89.
3. Chin, Vun Jack, Zainal Salam, and Kashif Ishaque. 2015. “Cell Modelling and Model Parameters Estimation Techniques for Photovoltaic Simulator Application: A Review.” Applied Energy 154: 500–519. http://dx.doi.org/10.1016/j.apenergy.2015.05.035.
4. Cubas, Javier, Santiago Pindado, and Carlos De Manuel. 2014. “Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function.” Energies 7(7): 4098–4115.
5. Jordehi, A. Rezaee. 2016. “Parameter Estimation of Solar Photovoltaic (PV) Cells: A Review.” Renewable and Sustainable Energy Reviews 61: 354–71. http://dx.doi.org/10.1016/j.rser.2016.03.049.
6. Kumari, P. Ashwini, and P. Geethanjali. 2018. “Parameter Estimation for Photovoltaic System under Normal and Partial Shading Conditions: A Survey.” Renewable and Sustainable Energy Reviews 84(August 2017): 1–11. https://doi.org/10.1016/j.rser.2017.10.051.
7. Lemes, Francisco R., Cari P.T. Elmer, and Vitor A. Corrêa. 2019. “Parameter Estimation of Photovoltaic System Using Real Condition Data.” 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019: 8–11.
8. Li, Shuijia, Wenyin Gong, and Qiong Gu. 2021. “A Comprehensive Survey on Meta-Heuristic Algorithms for Parameter Extraction of Photovoltaic Models.” Renewable and Sustainable Energy Reviews 141(May 2020): 110828. https://doi.org/10.1016/j.rser.2021.110828.

9. Maniraj, B., and A. Peer Fathima. 2021. “Parameter Extraction of Solar Photovoltaic Modules Using Various Optimization Techniques: A Review.” Journal of Physics: Conference Series 1716(1).
10. Omer, Zahi M., Abbas A. Fardoun, and Ala Hussain. 2016. “Large Scale Photovoltaic Array Fault Diagnosis for Optimized Solar Cell Parameters Extracted by Heuristic Evolutionary Algorithm.” IEEE Power and Energy Society General Meeting 2016-Novem.
11. Peinado Gonzalo, Alfredo, Alberto Pliego Marugán, and Fausto Pedro García Márquez. 2020. “Survey of Maintenance Management for Photovoltaic Power Systems.” Renewable and Sustainable Energy Reviews 134(July).
12. Rathore, N S, and N L Panwar. 2009. “Performance Evaluation of Solar Photovoltaic Refrigerating System.” 90(November): 31–34. “S1876610217326504.”
13. Saravanan, C., and M. A. Panneerselvam. 2013. “A Comprehensive Analysis for Extracting Single Diode PV Model Parameters by Hybrid GA-PSO Algorithm.” International Journal of Computer Applications 78(8): 16–19.
14. Venkateswari, Radhakrishnan, and Natarajan Rajasekar. 2021. “Review on Parameter Estimation Techniques of Solar Photovoltaic Systems.” International Transactions on Electrical Energy Systems 31(11): 1–72.
15. Walker, G. 2001. “Evaluating MPPT Converter Topologies Using a Matlab PV Model.” Journal of Electrical and Electronics Engineering, Australia 21(1): 49–55.
16. Xu, Shuhui, and Yong Wang. 2017. “Parameter Estimation of Photovoltaic Modules Using a Hybrid Flower Pollination Algorithm.” Energy Conversion and Management 144: 53–68. http://dx.doi.org/10.1016/j.enconman.2017.04.042.