Reconfigured single- and double-diode models for improved modelling of solar cells/modules

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 15, 2025

Language: Английский

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Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques: A comparative study

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124777 - 124777

Published: July 14, 2024

Accurately estimating the unknown parameters of photovoltaic (PV) models based on measured voltage-current data is a challenging optimization problem due to its high nonlinearity and multimodality. An accurate solution this essential for efficiently simulating, controlling, evaluating PV systems. There are three different models, including single-diode model, double-diode triple-diode with five, seven, nine parameters, respectively, proposed represent electrical characteristics systems varying levels complexity accuracy. In literature, several deterministic metaheuristic algorithms have been used accurately solve hard problem. However, problem, methods could not achieve solutions. On other side, algorithms, also known as gradient-free methods, somewhat good solutions but they still need further improvements strengthen their performance against stuck-in local optima slow convergence speed problems. Over last two years, recent better improve avoid tackle continuous majority those has investigated. Therefore, in paper, nineteen recently published such Mantis search algorithm (MSA), spider wasp optimizer (SWO), light spectrum (LSO), growth (GO), walrus (WAOA), hippopotamus (HOA), black-winged kite (BKA), quadratic interpolation (QIO), sinh cosh (SCHA), exponential distribution (EDO), optical microscope (OMA), secretary bird (SBOA), Parrot Optimizer (PO), Newton-Raphson-based (NRBO), crested porcupine (CPO), differentiated creative (DCS), propagation (PSA), one-to-one (OOBO), triangulation topology aggregation (TTAO), studied clarify effectiveness models. addition, collaborate functions, namely Lambert W-Function Newton-Raphson Method, aid solving I-V curve equations more accurately, thereby improving Those assessed using four well-known solar cells modules compared each metrics, best fitness, average worst standard deviation (SD), Friedman mean rank, speed; multiple-comparison test compare difference between ranks. Results comparison show that SWO efficient effective SDM, DDM, TDM over modules, Method equations. study reports perform poorly when applied

Language: Английский

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Analyzing the electrical response of Au-GaAs Schottky diodes to proton irradiation at room temperature

Microelectronics Reliability, Journal Year: 2025, Volume and Issue: 165, P. 115593 - 115593

Published: Jan. 16, 2025

Language: Английский

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Enhanced Single-Diode Model for Improved Accuracy in Photovoltaic Cell Characterization

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2025, Volume and Issue: unknown, P. 100935 - 100935

Published: Feb. 1, 2025

Language: Английский

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An Analytical-Iterative Method for Accurate Parameter Estimation of the Single-Diode Model in Photovoltaic Modules: Application to Monocrystalline and Polycrystalline Modules under Various Environmental Conditions

Green Energy and Intelligent Transportation, Journal Year: 2025, Volume and Issue: unknown, P. 100285 - 100285

Published: March 1, 2025

Language: Английский

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Improved Tasmanian devil optimization method for accurate parameter extraction of photovoltaic models in various temperature and irradiation conditions

International Journal of Modelling and Simulation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: Feb. 26, 2025

High-performance solar photovoltaic models rely on a precise understanding of (PV) cell parameters. This necessity arises from the importance comprehending and optimizing performance systems to ensure reliable efficient energy production. Nonetheless, due intrinsic nonlinear nature systems, employing algorithm is essential for accurate modeling. In this article, an enhanced inspired by behavior Tasmanian Devil, named Improved Devil Optimization (ITDO), proposed enhance original TDO. Our includes improvements exploitation phase, increasing frequency prey detection attacks in target zone. The method retains steps, with exploration stage unchanged. However, second step has been adaptation mechanism, final improved efficiently select global optimum. These modifications do not impact method's complexity. To assess ITDO's effectiveness, experiments were conducted using single, double, PV module models. Thorough comparison seven other algorithms revealed superior solution accuracy. Additionally, statistical analyses Wilcoxon rank-sum Friedman tests confirmed superiority as most robust parameter estimation systems.

Language: Английский

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Parameter identification of photovoltaic cells/modules by using an improved artificial ecosystem optimization algorithm and Newton-Raphson method

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 123, P. 559 - 591

Published: March 30, 2025

Language: Английский

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Hybrid Cuckoo Search-Gorilla Troops Optimizer for Optimal Parameter Estimation in Photovoltaic Modules

Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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Boosting Walrus Optimizer Algorithm based on ranking-based update mechanism for parameters identification of photovoltaic cell models

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Language: Английский

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