Cluster Computing, Journal Year: 2024, Volume and Issue: 28(2)
Published: Dec. 21, 2024
Language: Английский
Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 285, P. 116994 - 116994
Published: April 17, 2023
Language: Английский
Citations
46
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: April 4, 2024
Abstract The growing demand for solar energy conversion underscores the need precise parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing accuracy PV system extraction, essential optimizing models under diverse environmental conditions. Utilizing primary (single diode, double and three diode) module models, research emphasizes importance of accurate identification. In response to limitations existing metaheuristic algorithms, introduces enhanced prairie dog optimizer (En-PDO). novel algorithm integrates strengths (PDO) with random learning logarithmic spiral search mechanisms. Evaluation against PDO, a comprehensive comparison eighteen recent spanning optimization techniques, highlight En-PDO’s exceptional performance across different cell CEC2020 functions. Application En-PDO single using experimental datasets (R.T.C. France silicon Photowatt-PWP201 cells) test functions, demonstrates its consistent superiority. achieves competitive or superior root mean square error values, showcasing efficacy accurately modeling behavior cells performing optimally These findings position as robust reliable approach estimation emphasizing potential advancements compared algorithms.
Language: Английский
Citations
19
Sustainability, Journal Year: 2024, Volume and Issue: 16(1), P. 432 - 432
Published: Jan. 3, 2024
The I–V curve serves as an effective representation of the inherent nonlinear characteristics describing typical photovoltaic (PV) panels, which are essential for achieving sustainable energy systems. Over years, several PV models have been proposed in literature to achieve simplified and accurate reconstruction characteristic curves specified manufacturer’s datasheets. Based on their derivation, can be classified into three distinct categories: circuit-based, analytical-based, empirical-based models. However, extensive analysis accuracy reconstructed different at maximum power point (MPP) has not conducted time writing this paper. IEC EN 50530 standard stipulates that absolute errors within vicinity MPP should always less than or equal 1%. Therefore, review paper conducts in-depth reconstructing panels. limitations existing were identified based simulation results obtained using MATLAB performance indices. Additionally, also provides suggestions future research directions.
Language: Английский
Citations
11
Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 5027 - 5027
Published: March 12, 2023
This article proposes an effective evolutionary hybrid optimization method for identifying unknown parameters in photovoltaic (PV) models based on the northern goshawk algorithm (NGO) and pattern search (PS). The chaotic sequence is used to improve exploration capability of NGO technique while evading premature convergence. suggested algorithm, goshawk, (CNGPS), takes advantage algorithm’s global as well method’s powerful local capability. effectiveness recommended CNGPS verified through use mathematical test functions, its results are contrasted with those a conventional other methods. then extract PV parameters, parameter identification defined objective function be minimized difference between estimated experimental data. usefulness extraction evaluated using three distinct models: SDM, DDM, TDM. numerical investigates illustrate that new may produce better optimum solutions outperform previous approaches literature. simulation display novel achieves lowest root mean square error obtains optima than existing methods various solar cells.
Language: Английский
Citations
17
Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: Nov. 3, 2023
Partial shading of solar panels diminishes their operating efficiency and energy synthesized as it disrupts the uniform absorption sunlight. To tackle issue partial in photovoltaic (PV) systems, this article puts forward a comprehensive control strategy that takes into account range contributing factors. The proposed approach is based on using multi-string PV system configuration place central-type inverter for all modules with single DC-DC converter. This adaptation enhances overall across varying radiation levels. Also, technique minimizes cost by reducing required sensors number utilizing estimation strategy. converter switching considering direct duty-cycle method to establish maximum power point (MPP) location P-V curve. tracking simplifies improves system's response during sudden restrictions. validate effectiveness suggested MPPT method, two configurations were constructed MATLAB/SIMULINK software assessed under various scenarios. Additionally, was subjected real irradiance conditions. sensor-less algorithm achieved an impressive 99.81% peak-to-peak ripple voltage 1.3V. solution offers clear advantages over alternative approaches time enhancing efficiency. findings undoubtedly support theoretical scrutiny intended technique.
Language: Английский
Citations
15
Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 227, P. 120298 - 120298
Published: April 29, 2023
Language: Английский
Citations
14
Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 300, P. 117965 - 117965
Published: Dec. 18, 2023
Language: Английский
Citations
13
PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2646 - e2646
Published: Jan. 27, 2025
This study conducts a comparative analysis of the performance ten novel and well-performing metaheuristic algorithms for parameter estimation solar photovoltaic models. optimization problem involves accurately identifying parameters that reflect complex nonlinear behaviours cells affected by changing environmental conditions material inconsistencies. is challenging due to computational complexity risk errors, which can hinder reliable predictions. The evaluated include Crayfish Optimization Algorithm, Golf Coati Crested Porcupine Optimizer, Growth Artificial Protozoa Secretary Bird Mother Election Optimizer Technical Vocational Education Training-Based Optimizer. These are applied solve four well-established models: single-diode model, double-diode triple-diode different module focuses on key metrics such as execution time, number function evaluations, solution optimality. results reveal significant differences in efficiency accuracy algorithms, with some demonstrating superior specific Friedman test was utilized rank various revealing top performer across all considered optimizer achieved root mean square error 9.8602187789E-04 9.8248487610E-04 both models 1.2307306856E-02 model. consistent success indicates strong contender future enhancements aimed at further boosting its effectiveness. Its current suggests potential improvement, making it promising focus ongoing development efforts. findings contribute understanding applicability renewable energy systems, providing valuable insights optimizing
Language: Английский
Citations
0
Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 112, P. 115431 - 115431
Published: Jan. 30, 2025
Language: Английский
Citations
0
Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 207 - 216
Published: Jan. 1, 2025
Language: Английский
Citations
0