Parameter identification for solar cell models using harmony search-based algorithms. Sol Energy, 86 (11) (2012), pp. 3241-3249. View PDF View article View in Scopus Google Scholar [14] T. Easwarakhanthan, J. Bottin, I. Bouhouch, C. Boutrit. Nonlinear minimization algorithm for determining the solar cell parameters with …
Parameter identification for solar cell models using harmony search-based algorithms. Sol Energy, 86 (2012), pp. 3241-3249. View PDF View article View in Scopus Google Scholar [23] Z. Wu, D. Yu, X. Kang. Parameter identification of photovoltaic cell model based on improved ant lion optimizer.
This article studies the parameter estimation to the photovoltaic cell (PV) models. Introducing the gradient search principle, a gradient-based iterative algorithm is derived to determine PV models. This proposed algorithm implements the parameter estimation for the single-diode equivalent circuit of the PV models. Furthermore, to enhance computational …
Sect. 5. Application in parameter identification of PV cell model is included in Sect. 6. Section 7 gives the conclusion. 2 Mathematical model of PV module 2.1 PV cell model PV cell is the basic component of a PV module, and its simplest model is the single diode model, which can accurately reflect the output characteristics of PV cell in
Appl. Sci. 2021, 11, 11929 3 of 16 The authors [31] propose two simple metaphor-free algorithms called Rao-2 (R-II) and Rao-3 (R-III) to estimate the parameters of PV cells.
The performance of photovoltaic (PV) modules can be determined from the current–voltage characteristics. Accurate parameter extraction is vital for PV module modeling and analysis of the characteristics of PV systems, in which the objective function (OF) is essential and has an essential impact on the accuracy of the identified …
Solar photovoltaic system parameter identification is crucial for effective performance management, design, and modeling of solar panel systems. This work …
Parameter identification of solar photovoltaic (PV) cells is crucial for the PV system modeling. However, finding optimal parameters of PV models is an intractable problem due to the highly ...
In this paper, a parameter identification method of photovoltaic cell model based on improved lion swarm optimization is presented. Lion swarm optimization is a novel intelligent algorithm proposed in recent years, but it has problems such as local optimum and slow convergence.
The Photowatt-PWP201 is a commercial PV module that has 36 polycrystalline silicon cells connected in series and operates at 1000 W/ m 2 with a temperature of 45 °C. The NGO is employed to identify the nine parameters of the triple diode model of the PWP201 module with 30 search agents and a maximum number of …
The simpler equivalent circuit of a solar cell/panel involves a current source and one or several diodes connected in parallel. A series resistance and a shunt resistance, R s, and R sh, are normally added to the circuit to take respectively into account losses in cell solder bonds, interconnection, junction box, etc., and the current leakage through the …
At present, the accuracy of PV system parameter identification is improved by studying the dynamic behavior and output characteristics of different types of PV cell models under …
The identification of photovoltaic model parameters from the measured current-voltage characteristic curve is crucial in the simulation, evaluation and control of the system. …
Various researches [19], [20], [21] have been focused on the foremost issues related to the methodologies of the identification of DC solar cell parameters. In [22], it has been proved that it is impossible to solve this nonlinear problem accurately relying solely on linear identification methods. Many suggestions [23], [24] have been proposed ...
Accurate modeling and parameter identification of photovoltaic (PV) cells is a difficult task due to the nonlinear characteristics of PV cells. The goal of this paper is to propose …
The parameters identification of DDM PV cell was modeled as an optimization task and the proposed SSA-based approach was first compared to the novel SCA and VCS optimizers that are not used before in this application. The proposed method was then compared to well-established algorithms such as ALO, GSA, and WOA. The …
Determination of parameters plays an important role in solar cell accurate modelling. This paper presents an application of the hybrid Nelder-Mead simplex search method and modified Particle Swarm Optimization technique for identifying the parameters of solar cell and photovoltaic module models.
The experiments of using MBB-ICA to identify the parameters of PV cells are detailed explained in Section 4. In the last, Section 5 draw the conclusion remarks. Section snippets Single diode model. Single diode model (SDM) stimulate the I-V characteristic of PV cell using a current source parallel with a single diode. Fig. 1 shows …
The selection of the RTC France solar cell as the benchmark case study was driven by its significance in the field of solar photovoltaics. Utilization of SDM, DDM, and TDM allowed assessment of the effectiveness of the Ls-AOA across various solar cell models. Detailed parameter limits for SDM, DDM, and TDM are provided in Table 1.
Parameter identification for solar cell models using harmony search-based algorithms. Sol. Energy, 86 (11) (2012), pp. 3241-3249. View PDF View article View in Scopus Google Scholar. Askarzadeh and Rezazadeh, 2013. A. Askarzadeh, A. Rezazadeh.
A thin metallic grid is put on the sun-facing surface of the semiconductor [24].The size and shape of PV cells are designed in a way that the absorbing surface is maximised and contact resistances are minimised [25].Several PV cells connected in series form a PV module, some PV modules connected in series and parallel form a PV panel …
This article studies the parameter estimation to the photovoltaic cell (PV) models. Introducing the gradient search principle, a gradient-based iterative algorithm is derived to …
Photovoltaic (PV) cell (PVC) modeling predicts the behavior of PVCs in various real-world environmental settings and their resultant current–voltage and power–voltage characteristics. Focusing on …
Application to parameter identification of solar cell models. In this section, the I–V characteristic of a 57 mm diameter commercial (R.T.C. France) silicon solar cell is used to evaluate the efficiency of the GOTLBO-based parameter identification method. The experimental data has been adopted from the system under 1 sun (1000 …
The widely used solar cell models mainly include single diode model (SDM) with five parameters and double diode model (DDM) with seven parameters . Accurate parameter identification of PV models is beneficial for various applications, such as mechanism modelling [ 3 ], fault diagnosis [ 4 ], performance evaluation [ 5 ], and …
Parameter identification for solar cell models using harmony search-based algorithms. Sol Energy, 86 (2012), pp. 3241-3249. View PDF View article View in Scopus Google Scholar [59] M.F. AlHajri, K.M. El-Naggar, M.R. AlRashidi, A.K. Al-Othman. Optimal extraction of solar cell parameters using pattern search.
The involved PV cell is a 57 mm diameter commercial R.T.C. France silicon solar cell working at an irradiance of 1000 W/ m 2 and a temperature of 33 °C, while the PV module is a solar unit named Photowatt-PWP201 covers 36 polycrystalline silicon cells in sequence functioning at an irradiance of W/ m 2 and a temperature 45 °C.