Bonobo optimizer: dynamically adaptive heuristic for enhanced MPPT in photovoltaic systems under partial shading – experimental validation with buck converter DOI
Soufyane Ait El Ouahab,

Firdaous Bakkali,

Abdellah Amghar

и другие.

International Journal of Emerging Electric Power Systems, Год журнала: 2024, Номер unknown

Опубликована: Дек. 29, 2024

Abstract The integration of shunt bypass diodes in photovoltaic (P-V) module to mitigate hot spots frequently leads the emergence multiple PV array characteristics. Researchers consistently strive develop, integrate, and refine innovative techniques inspired by various natural processes achieve a global optimum that enhances overall efficiency systems. However, these face challenges adapting parameters strike delicate balance between exploration exploitation, which is essential for circumventing local optima, reducing computation times, refining precision optimize energy capture. In this context, paper introduces groundbreaking new adaptive Maximum Power Point Tracking (MPPT) controller social behavior reproductive tactics observed bonobos (BO). This approach underpinned two key strategies: fission fusion, with dynamic parameter adjustment real-time. enables efficient exploitation search space, following positive negative phases BO. method was compared three methods: PSO, DE, ICS, evaluated through six simulation scenarios, ranging from 1 6 peaks, as well experimental scenarios: one uniform other involving partial shading, using an Arduino board buck converter. According comparative analysis, BO algorithm outperforms approaches all performance evaluation parameters. It shows average improvement convergence time more than 39.18 % exceeding 99 %, minimal oscillation steady-state operation. translates into MPE over 96.66 %. Additionally, results confirm findings simulations.

Язык: Английский

A Robust MPPT Method Based on Optimizable Gaussian Process Regression and High Order Sliding Mode Control for Solar Systems under Partial Shading Conditions DOI
Mehmet Yılmaz, Muhammed Fatih Çorapsız

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122339 - 122339

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

A novel argyle puzzle for partial shading effect mitigation with experimental validation DOI
Dalia Yousri, Thanikanti Sudhakar Babu, Rupendra Kumar Pachauri

и другие.

Renewable Energy, Год журнала: 2024, Номер 225, С. 120307 - 120307

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

7

Differential Evolution algorithm based Double Integral Sliding Mode Control for Maximum Power Point Tracking of a standalone photovoltaic system DOI

H. Rizki,

El‐Mahjoub Boufounas, Aumeur El Amrani

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122530 - 122530

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Comparison of P&O and ANFIS methods for monitoring the maximum power point of photovoltaic modules in electrical complexes DOI Creative Commons
Timur Petrov,

Nisreen Kareem Ali,

A. R. Petrova

и другие.

Power engineering research equipment technology, Год журнала: 2025, Номер 27(1), С. 37 - 47

Опубликована: Март 17, 2025

Photovoltaic energy depends on the conversion of sunlight into electricity. In recent years, price solar power plant equipment has dropped sharply, which led to increase photovoltaic generation in years. There is a trend decreasing cost panels and equipment, this caused electricity generated from PV modules. OBJECTIVE. To develop system maximize output under changing irradiance temperature conditions. METHODS. This study compares two methods that can improve working efficiency modules by determining maximum point, ANFIS P&O. RESULTS. paper explains step-by-step process, simulation disturbance observation analysis P&O using MATLAB/Simulink software. The method works better stable conditions, but its effectiveness drops sharply with sudden changes lighting. On other hand, more resistant able adapt new makes it versatile tool. CONCLUSION. Therefore, when choosing an approach MPP tracking, worth considering many factors, including operating available resources, goals. excellent solution for less demanding conditions simple installations, while provides solutions complex dynamic applications. main thing emphasize need thorough assessment situation selection most suitable specific Determining right strategy significantly performance their overall within electrical complexes.

Язык: Английский

Процитировано

0

Cascade control of single input multi output buck converter for synchronous charging applications of battery/ultracapacitor hybrid energy storage systems DOI Creative Commons
Muhammed Reşit Çorapsız

Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi, Год журнала: 2025, Номер 14(1), С. 103 - 116

Опубликована: Март 26, 2025

In the near future, seeing more than one energy storage device in mobile power systems will be possible. Although Lithium-ion (Li-ion) battery cells today's technology stand out with their high density and superior cell voltage advantages, they suffer from limited cycle lives. When high-power ultracapacitors (UC) are combined cells, a highly efficient hybrid system can created. However, since voltages densities of these two devices not equal, both charge currents different each other. This study proposes single-input, multi-output cascade buck converter structure to ultracapacitor synchronously. Converter parameters calculated according powers devices, controller is designed for separate control voltages. The proposed synchronous charging tested using procedures: continuous current (CC) mode, where reference closely monitored, (CV) limited. According results obtained, it was observed that followed short time 6ms slight overshoot rate approximately 8% all tests.

Язык: Английский

Процитировано

0

Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions DOI Creative Commons
Khuong Nguyen‐Vinh, Surender Rangaraju, Michał Jasiński

и другие.

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

ABSTRACT The increasing adoption of solar photovoltaic systems necessitates efficient maximum power point tracking (MPPT) algorithms to ensure optimal performance. This study proposes a Mod tanh‐activated physical neural network (MAPNN)‐based MPPT control algorithm, which addresses inefficiencies in existing models caused by spectral mismatch and improper converter control. proposed method incorporates beta‐distributed estimation technique for factor correction Buck‐Boost with feedback using the Chinese Remainder Theorem – Puzzle Optimization Algorithm‐tuned PID controller. Simulations demonstrate an efficiency improvement 98.42%, 4.54 dB reduction total harmonic distortion faster convergence compared traditional methods such as ANN LSTM. system significantly enhances performance under dynamic irradiance conditions.

Язык: Английский

Процитировано

0

A novel maximum power point tracking approach based on fuzzy logic control and optimizable Gaussian Process Regression for solar systems under complex environment conditions DOI
Mehmet Yılmaz, Muhammed Reşit Çorapsız, Muhammed Fatih Çorapsız

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 141, С. 109780 - 109780

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

3

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, Год журнала: 2024, Номер 13(1), С. 88 - 97

Опубликована: Март 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.

Язык: Английский

Процитировано

2

Predictive Analysis of Methane-Enhanced Conversion of Organic Waste into Sustainable Fuel: A Machine Learning Approach DOI
Rahadian Zainul, Ali Basem, Dheyaa J. Jasim

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 189, С. 1428 - 1449

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

2

Enhancing the maximum or flexible power point tracking control of a photovoltaic array with a non-invasive and computationally robust model-based method for partial shading detection DOI
Vaskar Sarkar, Vinay Kumar Kolakaluri,

Sadhana Anantha

и другие.

Electric Power Systems Research, Год журнала: 2024, Номер 238, С. 111096 - 111096

Опубликована: Сен. 24, 2024

Язык: Английский

Процитировано

2