PSO Training Neural Network MPPT with CUK Converter Topology for Stand-Alone PV Systems Under Varying Load and Climatic Conditions DOI Creative Commons
Mehmet Yılmaz,

Muhammedfatih CORAPSİZ

Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi, Journal Year: 2024, Volume and Issue: 13(1), P. 88 - 97

Published: March 26, 2024

Temperature and irradiance levels are two examples of environmental variables that affect the power value produced by photovoltaic panels. Therefore, in order to transfer maximum from PV panel load under varying climatic conditions, point tracking (MPPT) algorithms DC-DC converter topologies used. In this study, performances boost CUK circuit investigated variable conditions using a neural network-based MPPT algorithm learning particle swarm optimization (PSO). As first scenario, it is analyzed assuming temperature values coming constant. second performance evaluation according current, voltage parameters made for situation. last difference depending on sun's condition during day has been examined. Canadian Solar CS6P-250P used study. 50 kHz selected as switching frequency. According results obtained, observed topology reaches faster than both dynamic change, oscillation at less. It aimed increase method, which uses literature, applying topology.

Language: Английский

Enhanced Maximum Power Point Techniques for Solar Photovoltaic System under Uniform Insolation and Partial Shading Conditions: A Review DOI Creative Commons
Laxman Bhukya,

Narender Reddy Kedika,

Surender Reddy Salkuti

et al.

Algorithms, Journal Year: 2022, Volume and Issue: 15(10), P. 365 - 365

Published: Sept. 29, 2022

In the recent past, solar photovoltaic (PV) system has emerged as most promising source of alternative energy. This PV suffers from an unavoidable phenomenon due to fluctuating environmental conditions. It nonlinearity in I-V curves, which reduces output efficiency. Hence, optimum maximum power point (MPP) extraction is difficult achieve. Therefore, for maximizing systems, a tracking (MPPT) mechanism, control algorithm that can constantly track MPP during operation, required. However, choosing suitable MPPT technique might be confusing because each method its own set advantages and disadvantages. proper review these methods essential. this paper, state-of-the-art on various techniques based their classifications, such offline, online, hybrid under uniform nonuniform irradiances, presented. comparison offline online methods, intelligent have better accuracy efficiency with less steady state oscillations. Unlike techniques, global partial shade paper will useful resource researchers, well practicing engineers, pave way additional research development field.

Language: Английский

Citations

80
Design of a wind-PV system integrated with a hybrid energy storage system considering economic and reliability assessment DOI
Ibrahem E. Atawi, Ahmad Abuelrub, Ali Q. Al-Shetwi

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 81, P. 110405 - 110405

Published: Jan. 11, 2024

Language: Английский

Citations

30
Hybrid optimized-ANFIS based MPPT for hybrid microgrid using zebra optimization algorithm and artificial gorilla troops optimizer DOI Open Access
Mahmoud M. Elymany, Mohamed A. Enany,

Nadia A. Elsonbaty

et al.

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 299, P. 117809 - 117809

Published: Nov. 3, 2023

Language: Английский

Citations

29
Implications of a smart grid-integrated renewable distributed generation capacity expansion strategy: The case of Iraq DOI
Qusay Hassan, Anees A. Khadom, Sameer Algburi

et al.

Renewable Energy, Journal Year: 2023, Volume and Issue: 221, P. 119753 - 119753

Published: Nov. 29, 2023

Language: Английский

Citations

29
Optimal Real-time implementation of fuzzy logic control strategy for performance enhancement of autonomous microgrids DOI

Nourhan A. Maged,

Hany M. Hasanien, Essamudin A. Ebrahim

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2023, Volume and Issue: 151, P. 109140 - 109140

Published: April 19, 2023

Language: Английский

Citations

24
Recent applications and advances of African Vultures Optimization Algorithm DOI Creative Commons
Abdelazim G. Hussien, Farhad Soleimanian Gharehchopogh, Anas Bouaouda

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(12)

Published: Oct. 17, 2024

Language: Английский

Citations

10
Performance analysis of DC-DC Buck converter with innovative multi-stage PIDn(1+PD) controller using GEO algorithm DOI Creative Commons
Mostafa Jabari, Davut İzci,

Serdar Ekinci

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 27, 2024

Power electronic converters are widely used in various fields of electrical equipment. Due to their fast dynamics and non-linear nature, controlling them requires dealing with complexities. Therefore, having a well-designed, high-speed, robust controller is critical ensure the effective operation these devices. In DC-DC converter, steady-state performance minimum error dynamic response relies on design. This paper presents design multi-stage PID an N-filter combined one plus proportional derivative (1+PD) controller. illustrates tracking reference voltage; additionally, it shows incredible results when converter operates different modes. The parameters proposed effectively determined using golden eagle optimization (GEO) algorithm. Furthermore, comprehensive comparison between controller, proportional–integral–derivative (PID), fractional order (FOPID) controllers, as well metaheuristic methods conditions, has been conducted demonstrate effectiveness behavior closed-loop system under conditions thoroughly investigated. superior time frequency domain characteristics PIDn(1+PD) highlight its superiority over other controllers. demonstrated enhancements settling time, voltage regulation accuracy, transient emphasize potential applicability control strategy real-world power electronics systems, particularly scenarios requiring high efficiency, stability, performance.

Language: Английский

Citations

10
A systematic review of the emerging metaheuristic algorithms on solving complex optimization problems DOI
Oğuz Emrah Turgut, Mert Sinan Turgut, Erhan Kırtepe

et al.

Neural Computing and Applications, Journal Year: 2023, Volume and Issue: 35(19), P. 14275 - 14378

Published: March 26, 2023

Language: Английский

Citations

21
The Optimal Design of a Hybrid Solar PV/Wind/Hydrogen/Lithium Battery for the Replacement of a Heavy Fuel Oil Thermal Power Plant DOI Open Access
Isaac Amoussou,

Emmanuel Tanyi,

Fatma Lajmi

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(15), P. 11510 - 11510

Published: July 25, 2023

Renewable energies are clean alternatives to the highly polluting fossil fuels that still used in power generation sector. The goal of this research was look into replacing a Heavy Fuel Oil (HFO) thermal plant Limbe, southwest Cameroon, with hybrid photovoltaic (PV) and wind combined storage system. Lithium batteries hydrogen associated fuel cells make up total cost (TC) project over its lifetime minimized order achieve optimal sizing components. To ensure reliability new plant, criterion measuring loss supply probability (LPSP) implemented as constraint. Moth Flame Optimization (MFO), Improved Grey Wolf Optimizer (I-GWO), Multi-Verse (MVO), African Vulture Algorithm (AVOA) were solve single-objective optimization problem. techniques entailed development mathematical models components, hourly weather data for selected site output replaced serving input data. All four algorithms produced acceptable reasonably comparable results. However, terms proportion, obtained MFO algorithm 0.32%, 0.40%, 0.63% lower than costs I-GWO, MVO, AVOA algorithms, respectively. Finally, effect type coupled PV systems on overall assessed. meta-heuristic compare results PV–Wind–Hydrogen–Lithium Battery, PV–Wind–Hydrogen, PV–Wind–Lithium Battery scenarios. scenario had lowest cost. This scenario’s 2.40% 18% PV–Wind–Hydrogen

Language: Английский

Citations

19
Circle Search Algorithm-Based Super Twisting Sliding Mode Control for MPPT of Different Commercial PV Modules DOI Creative Commons
Ghazi A. Ghazi, Essam A. Al‐Ammar, Hany M. Hasanien

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 33109 - 33128

Published: Jan. 1, 2024

The efficiency of grid-connected photovoltaic (PV) systems can be improved using a suitable maximum power point tracking (MPPT) control. Many MPPT techniques have been developed. However, when atmospheric conditions change rapidly, the PV modules respond nonlinearly and performance these methods especially conventional ones is significantly reduced. Therefore, to successfully pursue (MPP) in systems, robust integrated with sliding mode control (SMC) employed. This paper proposes circle search algorithm based super twisting SMC (CSA-STSMC) for MPP 100-kW different commercial coupled an energy storage system that used smooth their output fluctuations. Moreover, STSMC PI controllers' gains are optimized CSA Grey Wolf Optimizer (GWO) proposed method demonstrated through comparisons Proportional-Integral controller (CSA-PI), GWO-STSMC, Incremental Conductance (InC-PI) methods. optimization simulation analysis executed A MATLAB/Simulink environment. It observed outperforms considered terms robustness, speed, best convergence minimum error's value better maximizing extracted from introduced systems.

Language: Английский

Citations

6