Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models’ parameters

Yousri, Dalia; Babu, Thanikanti Sudhakar; Allam, Dalia; Ramachandaramurthy, Vigna K.; Eteiba, Magdy B.

doi:10.1016/j.energy.2020.116979

Cited by 144 publications

(92 citation statements)

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“…38 This because the SDM declines the consideration of recombination losses developed in the depletion region. 35 The different models of solar PV panel are illustrated in Figure 1. The generated solar PV current based on the SDM can be estimated using the following relations 35,39 :…”

Section: Different Models Of Pv Modulementioning

confidence: 99%

“…35 The different models of solar PV panel are illustrated in Figure 1. The generated solar PV current based on the SDM can be estimated using the following relations 35,39 :…”

Section: Different Models Of Pv Modulementioning

confidence: 99%

“…In order to simulate the leakage current in the grain boundaries of multi-crystalline silicon solar cells, third diode must be inserted to DDM 35 as illustrated in threediode model (TDM) ( Figure 1). To estimate the generated solar PV current based on TDM, Equation (4) can be modified as following;…”

Section: Different Models Of Pv Modulementioning

confidence: 99%

“…33 Long et al 34 introduced a modified whale optimization algorithm (WOA) named refraction-learning-based WOA as a tool available for estimating the PV models parameters. Yousri et al 35 utilized the fractional chaos maps to improve the ensemble particle swarm optimizer (FC-EPSO) during extracting the parameters of single, double and three-diode models.…”

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confidence: 99%

“…By reviewing the literature, it can be recognized that some of the researchers determined the estimated current on the basis of the actual measurement values of the current and the extracted parameters that can be regarded as an approximate procedure, because from the mathematical perspective, this nonlinear equation should be solved numerically. [35][36][37] Therefore, the authors motivated to highlight this point and clarify the precise objective function that is the root mean square error (RMSE) between the measured and estimated current since the extracted current was determined with the aid of the estimated parameters, and the nonlinear equation of the PV models was resolved on the basis of the Newton-Raphson method. Since detecting which objective is most suitable for the identification of more precise parameters is a key issue for the provision of precise PV model; therefore the authors motivated to employ this approach while computing the objective function.…”

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Identifying the parameters of different configurations of photovoltaic models based on recent artificial ecosystem‐based optimization approach

2020

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Identifying accurate and precise photovoltaic models' parameters is the primary gate in providing a proper PV system design simulate its real behavior. Therefore, this article proposed a new approach based on a recent metaheuristic algorithm of artificial ecosystem-based optimization (AEO) to identify the optimal parameters of PV cell and module models. Various PV models are considered in this work as single diode (SD), double diode (DD), and triple diode (TD)-based circuits. The analysis is performed on which are R.T.C. France silicon solar cell, FSM-25 PV module, and Canadian-Solar-(CS6P-240P) multi-crystalline solar panel with the aid of experimental data under different operating conditions. Moreover, Lambert form is employed to validate the constructed model. Furthermore, comparative analysis with Harris hawks optimizer (HHO), gray wolf optimizer (GWO), and salp swarm algorithm (SSA) is performed. Additionally, statistical analysis using the Wilcoxon signed rank test is implemented across the three series of experiments for all employed optimizers. The obtained results confirmed the competence of the proposed approach in identifying the PV cell and modules equivalent circuits' parameters. K E Y W O R D S artificial ecosystem-based optimizer, double diode PV model, PV parameters estimation, single diode PV model, three-diode model 1 | INTRODUCTION Recently, renewable energy sources (RESs) penetrated in many engineering applications as alternatives of fossil fuel sources. Solar energy is one form of RESs in which the sunlight is converted to electrical energy via solar photovoltaic (PV) panels. Different PV panels are available which are mono-crystalline, multi-crystalline, and amorphous type.

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Section: Different Models Of Pv Modulementioning

confidence: 99%

“…35 The different models of solar PV panel are illustrated in Figure 1. The generated solar PV current based on the SDM can be estimated using the following relations 35,39 :…”

Section: Different Models Of Pv Modulementioning

confidence: 99%

Section: Different Models Of Pv Modulementioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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