Parameter extraction of two diode solar PV model using Fireworks algorithm
•Fireworks based solar PV parameter extraction is proposed for two diode model.•Simulations are carried out in MATLAB/SIMULINK environment.•Statistical error analysis such as IAE MAE, RE are performed and compared.•Simulated values of FWA are compared with experimental datasheet values to know the v...
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| Published in | Solar energy Vol. 140; pp. 265 - 276 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.12.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0038-092X 1471-1257 1471-1257 |
| DOI | 10.1016/j.solener.2016.10.044 |
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| Summary: | •Fireworks based solar PV parameter extraction is proposed for two diode model.•Simulations are carried out in MATLAB/SIMULINK environment.•Statistical error analysis such as IAE MAE, RE are performed and compared.•Simulated values of FWA are compared with experimental datasheet values to know the validity of the proposed method.
The double diode model for photovoltaic (PV) modules is currently less adopted than one-diode model because of the difficulty in the extraction of its seven unknown parameters IPV,I01,I02, Rs, Rp, a1 and a2, which is a serious inverse problem. This paper proposes application of the Fireworks Algorithm (FWA) for the accurate identification of these unknown parameters in such a way to solve effectively this modeling problem. In particular, firstly, the FWA has been comprehensively tested with two different technologies of Mono-Crystalline (SM55 & SP70) and Multi-Crystalline (Kyocera200GT) PV modules. In addition, further statistical and error analysis for three different panels are exclusively carried out to validate the suitability of proposed methodology. The results of proposed algorithm are benchmarked with popular Genetic Algorithm and Particle Swarm Optimization (PSO) methods. Fitness convergence curves or FWA method for SM55, SP70 and Kyocera200GT produce very less objective function as 2.2498E−07, 2.85765E−08 and 4.0075E−08 respectively. This illustrates the wise and accurate validation of FWA method. Calculated curve-fit via FWA in agreement to datasheet curve strongly suggest the FWA can constitute the core of suitable optimization code for two diode PV parameter extraction. |
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| ISSN: | 0038-092X 1471-1257 1471-1257 |
| DOI: | 10.1016/j.solener.2016.10.044 |