Performance analysis and effective modeling of a solar photovoltaic module based on field tests
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Ahmed Zouhir Kouache
,
Ahmed Djafour
Abstract
In recent years, the demand for photovoltaic (PV) energy has increased parallel to scientific research on PV cells, including electrical modeling, characterization, and extraction of unknown parameters. Moreover, our main contribution in this paper focuses on experimental investigation of the effect of solar radiation and temperature on the performance of a small photovoltaic plant years after its installation in the Ouargla region. As in many parts of the world, this studied area has experienced rising temperatures due to climate change, affecting system outputs. Therefore, in the first phase, we offer to characterize PV modules in various conditions and analyze the electrical parameters’ performance. The results indicate solar radiation and temperature influence PV modules’ electrical parameters. Moreover, the temperature influences the open-circuit voltage, while solar radiation positively impacts the short-circuit current. On the other side, we determine the optimal parameters of these modules and develop an accurate PV model using the bald eagle search algorithm (BES), gradian-based optimizer algorithm (GBO), and whale optimization Algorithm (WOA) based on a single diode model. The achievements show that the BES and GBO algorithms give good results for the optimum estimation of the PV model compared to WOA, where the best fitness was recorded at 0.015608 with the lowest deviation of 0.012565 and 0.039588, respectively. However, the BES has generated the minimum error values and with minimum iteration number, which indicates that this technique is more stable and robust for PV module parameter extraction.
Acknowledgments
We are particularly grateful to the LAGE laboratory at the University of Ouargla and the DGRSDT Algeria for providing us with the equipment used in this work.
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Research ethics: Not applicable
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Competing interests: The authors declare no conflicts of interest regarding this article.
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Research funding: None declared.
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Data availability: Not applicable.
Abbreviation
- BES
-
Bald Eagle Search Algorithm
- FF
-
fill factor
- GBO
-
gradient-based optimizer algorithm
- GSR
-
gradient search rule
- I ph
-
Photovoltaic current (A)
- I sc
-
short-circuit current (A)
- I 0
-
saturation current (A)
- LEO
-
local escaping operator
- MABE
-
mean absolute bias error
- Max
-
maximum fitness value
- MBE
-
mean bias error
- Mean
-
average fitness value
- Min
-
minimum fitness value
- n
-
diode ideality factor
- OF
-
objective function
- P max
-
optimum power (W)
- PV
-
Photovoltaic
- RMSE
-
root mean square error
- R p
-
parallel resistances (Ω).
- R s
-
series resistances (Ω).
- R 2
-
coefficient of determination
- SDM
-
single diode model
- Sdt
-
standard deviation
- t-stat
-
t statistic
- V oc
-
open-circuit voltage (V)
- WOA
-
whale optimization algorithm.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- A seven level fault tolerant hybrid cascaded inverter for renewable energy applications
- Optimal layout scheme design of distribution network micro PMU based on information entropy theory
- Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
- BCLM: a novel chaotic map for designing cryptography-based security mechanism for IEEE C37.118.2 PMU communication in smart grid
- Design and control of utility grid-tied bipolar DC microgrid
- Network dynamics in hybrid microgrid and its implications on stability analysis
- Electrical modelling, design, and implementation of a hardware PEM electrolyzer emulator for smart grid testing
- A hybrid search space reduction algorithm and Newton–Raphson based selective harmonic elimination for an asymmetric cascade H-bridge multi-level inverter
- Dynamic load prediction of charging piles for energy storage electric vehicles based on Space-time constraints in the internet of things environment
- Power coordination control method for AC/DC hybrid microgrid considering demand response
- Performance analysis and effective modeling of a solar photovoltaic module based on field tests
- Unleashing the economic potential of wind power for ancillary services
Artikel in diesem Heft
- Frontmatter
- Research Articles
- A seven level fault tolerant hybrid cascaded inverter for renewable energy applications
- Optimal layout scheme design of distribution network micro PMU based on information entropy theory
- Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
- BCLM: a novel chaotic map for designing cryptography-based security mechanism for IEEE C37.118.2 PMU communication in smart grid
- Design and control of utility grid-tied bipolar DC microgrid
- Network dynamics in hybrid microgrid and its implications on stability analysis
- Electrical modelling, design, and implementation of a hardware PEM electrolyzer emulator for smart grid testing
- A hybrid search space reduction algorithm and Newton–Raphson based selective harmonic elimination for an asymmetric cascade H-bridge multi-level inverter
- Dynamic load prediction of charging piles for energy storage electric vehicles based on Space-time constraints in the internet of things environment
- Power coordination control method for AC/DC hybrid microgrid considering demand response
- Performance analysis and effective modeling of a solar photovoltaic module based on field tests
- Unleashing the economic potential of wind power for ancillary services
