The Numerical Algorithms and Optimization Approach Used in Extracting the Parameters of the Single-Diode and Double-Diode Photovoltaic (PV) Models

Abstract

The current-voltage association of the single-diode photovoltaic (PV) cell comparable circuit system was characterized by its nonlinear implicit logical equation that would be hard to be resolved numerically. Because of the difficulty, various strategies for explaining this equation by using numerical approaches have been developed. The double-diode model is used to depict the PV cell in this research. This design is more accurate at the low irradiance levels, allowing for an extra accurate estimate performance of the PV system. The number of input variables is decreased to four to save time, and the values of R p and R s are calculated using an effective iterative technique. This research analyzes and compares three commonly used strategies for explaining the current-voltage equation parameter of a single-diode solar PV model. The chaotic optimization approach (COA) is used to evaluate the single-diode and double-diode solar cell characteristics. The suggested method relies on experimentally established current-voltage (I-V) characteristics. The suggested approach uses the curves of I-V characteristics obtained in the research laboratory for several standards of the solar temperature and the radiation and demonstrates its applicability in terms of efficacy, accuracy, and the simplicity of execution in an extensive range of real-world situations. As a conclusion, COA-based restriction approximation is beneficial to photovoltaic power generator manufacturers that want a timely and efficient PV cell/module model. It demonstrates that no single approach performs the best among all parameters and the method selection is always a trade-off depending on the user’s focus.

Performance analysis and validation of intelligent tool based on Brownian random walk‐based sand cat swarm optimization algorithm for parameter identification of various solar photovoltaic mathematical models

“…By applying Kirchhoff's current law, the output current of the cell (I pv ) for the DDeM is derived as presented in Equation (6).…”

“…Other mathematical representations, such as the multi‐diode model and the multi‐dimensional diodes model, have been formed and used by researchers. Their usage is also based on the reliability benefits of some photovoltaic technologies, such as thin‐film technology 6,7 …”

“…Their usage is also based on the reliability benefits of some photovoltaic technologies, such as thinfilm technology. 6,7 Determining photovoltaic parameters is multimodal and nonlinear, thus describing it as an optimization problem. An objective function typically minimizes the Root Mean Square Error (RMSE) between simulated and experimental values and should therefore be specified, considering the subjective temperature and the irradiance conditions.…”

Comparative analysis of the performance of supervised learning algorithms for photovoltaic system fault diagnosis

“…The third introduced technique was comparing full I-V curves to simulated ones. This was applied in [19] by comparing the generated I-V curves that was inspected from the double diode model with the measured ones which were used to diagnose faults like partial shading and degradation using threshold analysis. Also Partial shading, ground faults and short circuits were identified using the same method in [15].…”