Parameter extraction of photovoltaic modules using Newton Raphson and simulated annealing techniques

Yetayew, Tefera T.; Jyothsna, T. R.

doi:10.1109/pcitc.2015.7438166

Cited by 25 publications

(26 citation statements)

References 18 publications

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“…The convergence is faster and the results are accurate because the proposed characteristic equation has only two unknowns, rather than five. The proposed characteristics equation derivation steps are as follows: To obtain the expression for 'Is' and 'imp', the value of 'Iphn' from (3) is substituted in (2) and (4). In order to find 'Is' and 'imp' in terms of 'rs', 'rsh' and 'Vdi', the value of 'Io' from (9) is substituted in (7), (10) and (11) which yields: Furthermore, by equating (13) and (14) the value of 'rsh' is obtained as follows:…”

Section: A Derived Mathematical Model and Calculation Of Objective Fmentioning

confidence: 99%

“…On contrary to the Analytical method, each sample points from the characteristic curve of the solar cell are considered, when using numerical methods. This provides more accurate results in comparison to the Analytical methods [3], [4]. So Numerical-methods such as Gauss Seidel [1], [7] and Newton-Raphson [5], [6] have often been used in researches for the estimation of solar cell parameters.…”

Section: Introductionmentioning

confidence: 99%

“…These methods proved to be more proficient in estimating the unknown parameters, as compared to the Numerical and Analytical techniques. But correspondingly these methods were slow in convergence and sometimes incapable of tracking actual characteristics [3], [4]. The contributions of this research are as follows:…”

Section: Introductionmentioning

confidence: 99%

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Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics

et al. 2020

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Section: A Derived Mathematical Model and Calculation Of Objective Fmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics

et al. 2020

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“…The results and comparison with other methods exhibit high accuracy and validity of the proposed enhanced vibrating particles system algorithm to extract parameters of a photovoltaic cell and module.weather conditions change, analytical methods become ineffective [18].Numerical extraction techniques based on some algorithm fit the points on the PV characteristic curve. Compared to the analytical method, an accurate result can be attained since the algorithm tries to consider all points on the characteristic curve [19]. In the literature, the Newton-Raphson method is the most used [19] [20] [21]; In [22], a numerical method is proposed for modeling and the simulation of PV.…”

mentioning

confidence: 99%

“…Numerical extraction techniques based on some algorithm fit the points on the PV characteristic curve. Compared to the analytical method, an accurate result can be attained since the algorithm tries to consider all points on the characteristic curve [19]. In the literature, the Newton-Raphson method is the most used [19] [20] [21]; In [22], a numerical method is proposed for modeling and the simulation of PV.…”

mentioning

confidence: 99%

Enhanced Vibrating Particles System Algorithm for Parameters Estimation of Photovoltaic System

Gnetchejo¹,

Essiane²,

Ele³

et al. 2019

JPEE

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To evaluate the performance of a photovoltaic panel, several parameters must be extracted from the photovoltaic. These parameters are very important for the evaluation, monitoring and optimization of photovoltaic. Among the methods developed to extract photovoltaic parameters from current-voltage (I-V) characteristic curve, metaheuristic algorithms are the most used nowadays. A new metaheuristic algorithm namely enhanced vibrating particles system algorithm is presented here to extract the best values of parameters of a photovoltaic cell. Five recent algorithms (grey wolf optimization (GWO), moth-flame optimization algorithm (MFOA), multi-verse optimizer (MVO), whale optimization algorithm (WAO), salp swarm-inspired algorithm (SSA)) are also implemented on the same computer. Enhanced vibrating particles system is inspired by the free vibration of the single degree of freedom systems with viscous damping. To extract the photovoltaic parameters using enhanced vibrating particles system algorithm, the problem can be set as an optimization problem with the objective to minimize the difference between measured and estimated current. Four case studies have been implemented here. The results and comparison with other methods exhibit high accuracy and validity of the proposed enhanced vibrating particles system algorithm to extract parameters of a photovoltaic cell and module.weather conditions change, analytical methods become ineffective [18].Numerical extraction techniques based on some algorithm fit the points on the PV characteristic curve. Compared to the analytical method, an accurate result can be attained since the algorithm tries to consider all points on the characteristic curve [19]. In the literature, the Newton-Raphson method is the most used [19] [20] [21]; In [22], a numerical method is proposed for modeling and the simulation of PV. The method finds the five parameters from the current-voltage characteristic by using three points of the curve (maximum power, open circuit and short circuit). In [23], the Levenberg Marquardt algorithm is

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A new emperor penguin optimisation‐based approach for solar photovoltaic parameter estimation

Chauhan

Prakash

2021

Int Trans Electr Energ Syst

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Summary Mathematical model parameter estimation of solar photovoltaic (PV) cell, module and array represent a prodigious challenge in recent researches, where analytical, metaheuristic and hybrid techniques play a vital role for parameter extraction by using manufacturer's datasheet and experimental data, although the precise and highly reliable solution identification is still a complex problem to be solved. In this paper, a new Emperor Penguin Optimisation‐ (EPO) based parameter estimation approach for a single‐diode Rp solar PV model is presented that is cohesively analysed under different sets of temperature and irradiance (G). Validation of the proposed technique is perceived on the analysis of performance characteristics, that is, current‐voltage (I‐V) and power‐voltage (P‐V) of KC200GT, PWP201, and STP6 120‐36 PV modules under various simulation conditions. Moreover, estimated results are compared with the experimental data and several established estimation techniques in the literature for validation and demonstrate the proposed technique with highly precise outcomes having reduced computational cost for the PV model parameter extraction problem.

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Parameter extraction of photovoltaic modules using Newton Raphson and simulated annealing techniques

Cited by 25 publications

References 18 publications

Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics

Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics

Enhanced Vibrating Particles System Algorithm for Parameters Estimation of Photovoltaic System

A new emperor penguin optimisation‐based approach for solar photovoltaic parameter estimation

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