Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 148 - 155
Published: Jan. 1, 2024
Language: Английский
IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(6), P. 959 - 978
Published: Feb. 20, 2024
Abstract The pressing need for sustainable energy solutions has driven significant research in optimizing solar photovoltaic (PV) systems which is crucial maximizing conversion efficiency. Here, a novel hybrid gazelle‐Nelder–Mead (GOANM) algorithm proposed and evaluated. GOANM synergistically integrates the gazelle optimization (GOA) with Nelder–Mead (NM) algorithm, offering an efficient powerful approach parameter extraction PV models. This investigation involves thorough assessment of algorithm's performance across diverse benchmark functions, including unimodal, multimodal, fixed‐dimensional CEC2020 functions. Notably, consistently outperforms other approaches, demonstrating enhanced convergence speed, accuracy, reliability. Furthermore, application extended to single diode double models RTC France cell model Photowatt‐PWP201 module. experimental results demonstrate that approaches terms accurate estimation, low root mean square values, fast convergence, alignment data. These emphasize its role achieving superior efficiency renewable systems.
Language: Английский
Citations
24
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Feb. 11, 2024
Abstract The parameter identification problem of photovoltaic (PV) models is classified as a complex nonlinear optimization that cannot be accurately solved by traditional techniques. Therefore, metaheuristic algorithms have been recently used to solve this due their potential approximate the optimal solution for several complicated problems. Despite that, existing still suffer from sluggish convergence rates and stagnation in local optima when applied tackle problem. study presents new estimation technique, namely HKOA, based on integrating published Kepler algorithm (KOA) with ranking-based update exploitation improvement mechanisms estimate unknown parameters third-, single-, double-diode models. former mechanism aims at promoting KOA’s exploration operator diminish getting stuck optima, while latter strengthen its faster converge solution. Both KOA HKOA are validated using RTC France solar cell five PV modules, including Photowatt-PWP201, Ultra 85-P, STP6-120/36, STM6-40/36, show efficiency stability. In addition, they extensively compared techniques effectiveness. According experimental findings, strong alternative method estimating because it can yield substantially different superior findings
Language: Английский
Citations
22
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 15, 2025
Language: Английский
Citations
8
Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 326, P. 119468 - 119468
Published: Jan. 5, 2025
Language: Английский
Citations
3
Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122764 - 122764
Published: Feb. 1, 2025
Language: Английский
Citations
2
Energy Conversion and Management X, Journal Year: 2023, Volume and Issue: 19, P. 100405 - 100405
Published: June 9, 2023
The utilization of photovoltaic (PV) energy has experienced a significant surge in the last few decades, resulting rise research endeavours to comprehend its workings better. One focal points this is electrical modelling PV cells and modules. Several equivalent circuits have been proposed model them, such as single-diode (SDM), double-diode (DDM), triple-diode (TDM). main challenge identifying optimal circuit parameters. This study introduces novel method based on metaheuristic algorithm named Dandelion Optimizer (DO) coupled with numerical Newton-Raphson (NR) estimate Various models, including (SDM) were utilized by (DONR) determine parameters six different modules, RTC France, Photowatt-PWP201, STP6-120/36. A comparative analysis was conducted ten other widely recognized methods demonstrate effectiveness method. results that more accurate estimating than methods. According experimental results, superior accurately terms accuracy, reliability, convergence. Specifically, root mean squared error values obtained using (SDM, DDM) for PWP201, STP6-120/36 are (7.73939E-04, 7.56515E-04), (2.08116E-03, 2.07842E-03) (1.42575E-02, 1.45952E-02), respectively.
Language: Английский
Citations
34
Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: July 10, 2023
One of the greatest challenges for widespread utilization solar energy is low conversion efficiency, motivating needs developing more innovative approaches to improve design equipment. Solar cell fundamental component a photovoltaic (PV) system. cell's precise modelling and estimation its parameters are paramount importance simulation, design, control PV system achieve optimal performances. It nontrivial estimate unknown due nonlinearity multimodality search space. Conventional optimization methods tend suffer from numerous drawbacks such as tendency be trapped in some local optima when solving this challenging problem. This paper aims investigate performance eight state-of-the-art metaheuristic algorithms (MAs) solve parameter problem on four case studies constituting different types systems: R.T.C. France cell, LSM20 module, Solarex MSX-60 SS2018P module. These cell/modules built using technologies. The simulation results clearly indicate that Coot-Bird Optimization technique obtains minimum RMSE values 1.0264E-05 1.8694E-03 respectively, while wild horse optimizer outperforms SS2018 modules gives lowest value 2.6961E-03 4.7571E-05, respectively. Furthermore, performances all selected MAs assessed by employing two non-parametric tests known Friedman ranking Wilcoxon rank-sum test. A full description also provided, enabling readers understand capability each MA improving can enhance efficiency. Referring obtained, thoughts suggestions further improvements provided conclusion section.
Language: Английский
Citations
23
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 182, P. 114723 - 114723
Published: March 20, 2024
Language: Английский
Citations
15
Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 313, P. 118627 - 118627
Published: June 1, 2024
Language: Английский
Citations
11
Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e35771 - e35771
Published: Aug. 1, 2024
The primary objective of this study is to investigate the effects Fractional Order Kepler Optimization Algorithm (FO-KOA) on photovoltaic (PV) module feature identification in solar systems. Leveraging strengths original KOA, FO-KOA introduces fractional order elements and a Local Escaping Approach (LEA) enhance search efficiency prevent premature convergence. FO element provides effective information past expertise sharing amongst participants avoid converging. Additionally, LEA incorporated boost procedure by evading local optimization. single-diode-model (SDM) Double-diode-model (DDM) are two different equivalent circuits that used for obtaining unidentified parameters PV. Applied KC-200, Ultra-Power-85, SP-70 PV modules, compared KOA technique contemporary algorithms. Simulation results demonstrate FO-KOA's remarkable average improvement rates, showcasing its significant advantages robustness over earlier reported methods. proposed demonstrates exceptional performance, outperforming existing algorithms 94.42 %–99.73 % optimizing cell parameter extraction, particularly KC200GT module, consistent superiority robustness. Also, validated SDM DDM well-known RTC France cell.
Language: Английский
Citations
11