Estimation of PV module parameters from the manufacturer's datasheet for MPP estimation

Changmai, Papul; Nayak, Sisir Kumar; Metya, Sanjeev Kumar

doi:10.1049/iet-rpg.2019.1377

Cited by 17 publications

(14 citation statements)

References 56 publications

(143 reference statements)

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“…Deterministic methods work on the basis of "Taking all actual measured data for the entire system" strategy, where the unknown parameters are extracted using a relatively large number of measurements. [13][14][15] It is based on an objective function that represents a difference between the experimental and the estimated data points. As these algorithms are based on gradient information, they may converge to the local best optimum solution.…”

Section: Deterministic Methodsmentioning

confidence: 99%

Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm

Ayyarao¹,

Kumar²

2022

Intl J of Energy Research

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Summary A photovoltaic (PV) module or a solar cell is electrically characterized by a circuit model with specific parameters. For a PV system simulation and operation, the solar cell parameters must be precisely calculated using experimental data. Unknown parameters extraction of the solar PV system is necessary to analyze the system performance using I‐V characteristics under various operating conditions such as variable solar radiation and temperatures. However, the solar PV model problem is highly nonlinear in nature. To solve this problem, an efficient algorithm is necessary. Hence, in this study, we proposed a novel metaheuristic optimization algorithm inspired by ancient times' war strategy. The proposed war strategy optimization (WSO) algorithm is developed based on the army troop's strategic movement during the war. War strategy is modeled as an optimization process wherein each soldier dynamically moves toward the global best optimum value. Every soldier is assigned with a unique weight and their current position is dynamically updated based on the success rate of the previous iteration. The objective function employed in prior research of solar PV model parameter extraction is erroneous. However, in this work, we integrated the Newton Raphson method with the WSO algorithm to improve the accuracy of the output solutions. The experimental results prove that the proposed algorithm has shown superior performance when compared with the state‐of‐the‐art algorithms.

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Section: Deterministic Methodsmentioning

confidence: 99%

Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm

Ayyarao¹,

Kumar²

2022

Intl J of Energy Research

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“…Following the same procedure described in [15], the analytical expressions for V T , R S and R SH are derived, which are mentioned in Equations ( 23) and ( 24).…”

Section: Analytical Algorithmsmentioning

confidence: 99%

A Critical Review on the Estimation Techniques of the Solar PV Cell’s Unknown Parameters

et al. 2022

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To meet the exponentially growing demand for clean and green energy, the solar photovoltaic (PV) system’s importance is increasing day by day, for which PV modeling is considered to be one of the most important work in the current state-of-the-art methods. To effectively model a PV system, accurate PV parameter estimation is of the utmost importance. In line with this, although the values of some of the parameters are provided in the manufacturer’s datasheet, the values of unknown parameters, such as shunt resistance, series resistance, the diode ideality factor, photo-generated current and diode saturation current, are not provided. To estimate these values a lot of algorithms are already reported in the literature. After careful observation of all the reported algorithms, a few best-reported algorithms are identified and their performances are compared with respect to accuracy, convergence issues, computational complexity and thermal stability. All kind of algorithms, such as numerical, analytical and evolutionary algorithms, are considered in this study, and only the best reported algorithms are considered for the comparison.

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“…In [3], the hybrid approach of numerical and analytical methods is used to find the parameters of PV based on SDM and DDM models. In addition, some works have used the deterministic methods for searching the PV parameters such as [4,5] and [6]. By using these deterministic methods, a nonlinear characteristic of PV is modeled by using different operation conditions combined with datasheet of manufacturers like current and voltage at a maximum power point, short circuit current and open circuit voltage [7,8].…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation of photovoltaic module relied on golden jackal optimization

2024

Archives of Electrical Engineering

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Due to the nonlinear current-voltage (I-V) relationship of the photovoltaic (PV) module, building a precise mathematical model of the PV module is necessary for evaluating and optimizing the PV systems. This paper proposes a method of building PV parameter estimation models based on golden jackal optimization (GJO). GJO is a recently developed algorithm inspired by the idea of the hunting behavior of golden jackals. The explored and exploited searching strategies of GJO are built based on searching for prey as well as harassing and grabbing prey of golden jackals. The performance of GJO is considered on the commercial KC200GT module under various levels of irradiance and temperature. Its performance is compared to well-known particle swarm optimization (PSO), recent Henry gas solubility optimization (HGSO) and some previous methods. The obtained results show that GJO can estimate unknown PV parameters with high precision. Furthermore, GJO can also provide better efficiency than PSO and HGSO in terms of statistical results over several runs. Thus, GJO can be a reliable algorithm for the PV parameter estimation problem under different environmental conditions.

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Estimation of PV module parameters from the manufacturer's datasheet for MPP estimation

Cited by 17 publications

References 56 publications

Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm

Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm

A Critical Review on the Estimation Techniques of the Solar PV Cell’s Unknown Parameters

Parameter estimation of photovoltaic module relied on golden jackal optimization

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