Current Sensorless MPPT Method for Solar Systems Using a High-Gain DC-DC Boost Converter DOI
Fahreddin Sadıkoğlu, Farzad Mohammadzadeh Shahir, Ebrahim Babaei

и другие.

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 159 - 168

Опубликована: Янв. 1, 2024

Язык: Английский

A novel multi-input medium-gain DC-DC boost converter with soft-switching performance DOI Creative Commons
Saeed Danyali, Amin Moradkhani,

Oday Abdulhussein Abdaumran

и другие.

International Journal of Electrical Power & Energy Systems, Год журнала: 2023, Номер 155, С. 109629 - 109629

Опубликована: Ноя. 9, 2023

This paper proposes a new non-isolated dual-input zero-voltage switching (ZVS) dc-dc boost converter with medium voltage gain. Two input ports of the are current-fed and suitable for unidirectional dc power source, chargeable energy storage. The proposed basic circuit composed three cascaded switches, which at their connection points join to inductors switched capacitor multiplier (VM) cell is accompanied. Using this VM gain achieves two times that in conventional also half stress across switches. Through powers from source (like PV) battery can be accepted. Taking triangular resonant current frequency, third inductor aids reach ZVS switches turn-on diodes stop conducting ZCS all operation conditions. As result, low losses, reduced reverse recovery issue, high efficiency accessible especially higher output powers. PWM manner individual duty ratios, allowing regulate control extracted port. has been analyzed detail find its different operating modes, determine currents, estimate losses components design system. Behavior system examined by low-power laboratory prototype tested under four practical benefits simple compact structure, ports, number magnetic elements, efficiency.

Язык: Английский

Процитировано

16

Performance validation of global MPPT for efficient power extraction through PV system under complex partial shading effects DOI Creative Commons
Muhammad Abu Bakar Siddique, Dongya Zhao,

Khmaies Ouahada

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 16, 2025

Язык: Английский

Процитировано

0

Three novel machine learning-based adaptive controllers for a photovoltaic shunt active power filter performance enhancement DOI Creative Commons
Asmae Azzam-Jai, Mohammed Ouassaid

Scientific African, Год журнала: 2024, Номер 24, С. e02171 - e02171

Опубликована: Март 16, 2024

This study develops three new machine learning-based algorithms using the SVR prediction approach. The overall objective is to enhance performance of PV shunt active power filter (PV-SAPF) in order successfully fulfil its multi-functionality terms generation along with quality upgrades. first technique, named "SVR-INC MPPT", incorporates an ML-based duty cycle function, which intended speed up MPP finding process. algorithm then switches INC approach, guaranteeing accurate steady-state response. second and third techniques are Adaline for DC voltage regulation, SRF strategy reference currents generation. adopted approaches based on two weights performing actions proportional integral controller, nine fundamental currant extraction. advantage lies overcoming Adaline-based algorithm's limitations, requiring on-line large number iterations. Three simulation scenarios six controllers classical intelligent techniques, prove effectiveness proposed ML-controllers. results display (i) immediate harmonics identification (minimizing extraction error by 99% compared approach). (ii) a response time reduction range from 65% 100%, output controller PI-based one. (iii) THD 2.41% 4.45%. (iv) 20ms 0% overshoot, respectively (v) overshoot 0.04% 1.1%. Consequently, these offer best options powerful PV-SAPF system tracking harmonic attenuation. Moreover, obtained metrics comply IEEE-519 standard.

Язык: Английский

Процитировано

2

A Comprehensive Analysis: Integrating Renewable Energy Sources with Wire/Wireless EV Charging Systems for Green Mobility DOI Creative Commons
Ahmed Shahin, Almoataz Y. Abdelaziz, Azeddine Houari

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 140527 - 140555

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

2

Power generation evaluation of solar photovoltaic systems using radiation frequency distribution DOI
Wanxiang Yao,

Chunyang Yue,

Ai Xu

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 98, С. 110981 - 110981

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

2

Experimental Study of Photovoltaic Performance with a Spectral Filtration Technique DOI Creative Commons

Mohamed Abdelnafea,

Sayed Abulanwar, Sahar S. Kaddah

и другие.

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103555 - 103555

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

1

An Enhanced Drift-Free Perturb and Observe Maximum Power Point Tracking Method Using Hybrid Metaheuristic Algorithm for a Solar Photovoltaic Power System DOI
Diwaker Pathak,

Aanchal Katyal,

Prerna Gaur

и другие.

Iranian Journal of Science and Technology Transactions of Electrical Engineering, Год журнала: 2023, Номер 48(2), С. 759 - 779

Опубликована: Дек. 3, 2023

Язык: Английский

Процитировано

2

Applied Analysis of Differences by Cross-Correlation Functions DOI
Tomáš Barot, Ladislav Rudolf, Marek Kubalčík

и другие.

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 210 - 216

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Current Sensorless MPPT Method for Solar Systems Using a High-Gain DC-DC Boost Converter DOI
Fahreddin Sadıkoğlu, Farzad Mohammadzadeh Shahir, Ebrahim Babaei

и другие.

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 159 - 168

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0