Comparative analysis of hybrid and metaheuristic parameter estimation methods of solar PV

Rawat, Nikita; Thakur, Padmanabh

doi:10.1016/j.matpr.2022.06.426

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…If the power change to the voltage change is positive, the MPP shifts to the left; otherwise, it shifts to the right. Additionally, this process continues until (dP /dV ) equals zero [35][36][37][38]. This method's primary flaw is that it deviates from the maximum operating point when atmospheric conditions are quickly changing.…”

Section: Perturb and Observe (P And O) Methodsmentioning

confidence: 99%

Performance Analysis of Conventional MPPT Techniques for a Solar PV System

Charu

Thakur

Ansari

2023

JGEU

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The effectiveness and accuracy of two different MPPT methods of solar photovoltaic (PV), namely Perturb & Observe (P&O) and Constant Current (CC) have been investigated in this study. The main objective of this study is to test the impacts of temperature and solar irradiance (insolation) variations on solar PV output power which are achieved through these methods. Usually, solar insolation and temperature are the two most important influencing factors that have a significant impact on the output power (Pout). Here, the two conventional MPPT techniques have been applied to analyze the response through power characteristics curves of solar PV systems subject to changing environmental conditions. The MPPT techniques have been implemented on the solar PV system using MATLAB®. Additionally, the output power curves at various irradiances are shown in this work. The research demonstrates that the P&O-based MPPT method outperforms the CC-based MPPT method.

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Section: Perturb and Observe (P And O) Methodsmentioning

confidence: 99%

Performance Analysis of Conventional MPPT Techniques for a Solar PV System

Charu

Thakur

Ansari

2023

JGEU

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“…Then the algorithms search over the defined regions for a solution vector that minimizes the objective function. Many other algorithms have been used as hybrid algorithms [7] or artificial intelligence algorithms [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel SDM Discrete Search-Based Parameter Estimation for PV Solar Cells and Modules

Ismail,

Diab

2024

Journal of Advanced Engineering Trends

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The solar cells and photovoltaic (PV) modules are a key to clean electric power production that save the universe from warming contamination. It is fabricated using semiconductors that produce electric current under solar irradiance and metal contacts for system circuitry. The designing of the PV power system plant depends on estimating the parameters that accurately model the solar cells or PV modules. The commonly used model for representing the solar cell or PV module is the single diode model (SDM) because it is simpler than other models, contains only five unknown parameters, and has acceptable accuracy. This paper proposes a novel parameter estimation algorithm based on a discrete search to estimate the SDM parameters, called flexible alternate optimization (FAO). The proposed FAO algorithm performs an exhaustive search for a small set of the estimated parameters (called the decision set ( )). In contrast, the rest of the parameters are kept fixed. The number of parameters in the decision set flexibly controls the trade-off between algorithm complexity and parameter estimation accuracy to be applicable in wide applications. RTC France solar cell and monocrystalline SM55 module are used to validate the proposed method's effectiveness compared to the literature algorithms. The reached 9.55E-04 for RTC France solar cell and 0.034 for the PV module by varying the decision set size. A trade-off between the proposed algorithm complexity and the parameter estimation accuracy is presented for wide application uses. Future work is directed to enhance the parameter estimation accuracy and reduce the system complexity.

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