A frequency control strategy with DC microgrid systems for EV stations DOI
K. Ramakrishna,

Ambati Rishitha,

G. Madhu

et al.

Australian Journal of Electrical & Electronics Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Oct. 29, 2024

Language: Английский

Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid DOI Creative Commons
Burhan U Din Abdullah,

Suman Lata Dhar,

Shiva Pujan Jaiswal

et al.

Frontiers in Energy Research, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 3, 2025

Introduction Photovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to nonlinear behavior. Operating current and fluctuations, driven by temperature radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle adapt accurately these dynamic environmental conditions. While Artificial Intelligence (AI) optimization techniques show promise, implementation complexity longer attainment times for (MPP) hinder widespread adoption. Method This paper proposes hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with Perturb Observe (P&O) grid-connected photovoltaic system (PV). The proposed consists of two loops: PO reference point setting loop (inner loop) POA fine-tuning (outer)loop. combination inner outer loops minimizes oscillations adjusting perturbation direction enhancing convergence speed MPPT. Results Discussion To validate efficacy different conditions, comprehensive comparison is conducted between pelican perturb observe (HPPO) other algorithms. has optimized PV grid outputs an 99%, best tracking speed, total harmonic distortion (THD) all conditions below 5% agree IEEE 519 standards.

Language: Английский

Citations

1
Development of multiple input supply based modified SEPIC DC–DC converter for efficient management of DC microgrid DOI Creative Commons

B. Nagi Reddy,

Faisal Alsaif, Ch. Rami Reddy

et al.

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

Published: May 14, 2024

Abstract The development of DC microgrids is reliant on multi-input converters, which offer several advantages, including enhanced power generation and consumption efficiency, simplified quality, stability. This paper describes the a multiple input supply based modified SEPIC DC–DC Converter for efficient management microgrid that powered by two sources. Here Multi-Input converter offers both versatility in handling output voltage ranges efficiency flow, even under challenging operating conditions like lower duty cycle values. These features contribute to converter's effectiveness managing within microgrid. In this configuration, sources can energy load together or separately, depending how switches operate. detailed working states with equivalent circuit diagrams theoretical waveforms, steady-state conditions, are shown along current direction equations. also demonstrates typical analysis large-signal, small-signal, modeling techniques design proposed configuration validated through conceptual examination using comprehensive MATLAB simulation results. Detailed performance has been done different cases various ratios. Finally, show competitiveness, topology compared similar recent converters.

Language: Английский

Citations

7
Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments DOI Creative Commons

Assala Bouguerra,

Abd Essalam Badoud, Saad Mekhilef

et al.

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

Published: June 17, 2024

Abstract This study looks into how to make proton exchange membrane (PEM) fuel cells work more efficiently in environments that change over time using new Maximum Power Point Tracking (MPPT) methods. We evaluate the efficacy of Flying Squirrel Search Optimization (FSSO) and Cuckoo (CS) algorithms adapting varying conditions, including fluctuations pressure temperature. Through meticulous simulations analyses, explores collaborative integration these techniques with boost converters enhance reliability productivity. It was found FSSO consistently works better than CS, achieving an average increase 12.5% power extraction from PEM a variety operational situations. Additionally, exhibits superior adaptability convergence speed, maximum point (MPP) 25% faster CS. These findings underscore substantial potential as robust efficient MPPT method for optimizing cell systems. The contributes quantitative insights advancing green energy solutions suggests avenues future exploration hybrid optimization

Language: Английский

Citations

6
Experimental Validation of Novel Hybrid Grey Wolf Equilibrium Optimization for MPPT to Improve the Efficiency of Solar Photovoltaic System DOI Creative Commons

Feriel Abdelmalek,

Hamza Afghoul, Fateh Krim

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103831 - 103831

Published: Dec. 1, 2024

Language: Английский

Citations

5
Novel Hybrid MPPT based on modified incremental conductance-grey wolf optimization for grid connected PV systems DOI Open Access

Ahmad Mohammad Nezam,

Yunus Yalman

International Journal of Energy Studies, Journal Year: 2025, Volume and Issue: 10(1), P. 1203 - 1225

Published: March 18, 2025

In recent years, the utilization of renewable energy sources has expanded significantly to mitigate adverse effects associated with conventional sources, particularly carbon dioxide (CO₂) emissions. Due intermittent nature Photovoltaic (PV) system, output power PV system fluctuates which affects and quality system. Maximum point tracking techniques (MPPT) are utilized overcome efficiency problems. this paper, a hybrid MPPT algorithm is proposed improve for grid-connected systems. The combines modified incremental conductance grey wolf Optimization. Incremental Conductance (INC), Modified (M_INC), Perturb & Observe (P&O), (M_P&O), Grey Wolf Optimization (GWO) methods implemented in MATLAB compared algorithm. simulation results ensure outperform other algorithms by possessing lowest THD 2.31% it reaches 99.71% less oscillation at output.

Language: Английский

Citations

0
A non-isolated DITO high step up DC/DC converter with reduced voltage stress on power switches DOI Creative Commons

Amirreza Bahadori,

Mohammad Maalandish, Ali Nadermohammadi

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 24, 2025

This article describes a non-isolated multiport dual-input three-output (DITO), high-step-up DC–DC converter. The suggested converter's outputs vary in voltage and power levels. design recommended has high gain at each output with low duty cycle, lower losses, stress on semiconductors, particularly switches. Consequently, the proposed system not only ensures varied delivery across its but also maintains admirable functionality through energy-efficient stress-minimized choices. operational modes functioning of this structure are examined subsequent sections, to demonstrate special character features, it been compared other multi-input multi-output (MIMO) structures case study. Eventually, verify efficiency converter, an experimental prototype total 150 watts inputs 20 V 45, 83, 144 V, respectively, constructed frequency 50 kilohertz cycle 0.4, results have described.

Language: Английский

Citations

0
Optimized RNN MPPT-Controlled PV-Grid-Tied EV Charging Station Using Improved Trans Quasi Z-Source Boost Converter DOI

J. Nivedita,

P. S. Manoharan

Iranian Journal of Science and Technology Transactions of Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0
Real-Time Ultra Short-Term Irradiance Forecasting Using a Novel R-GRU Model for Optimizing PV Controller Dynamics DOI Creative Commons
N. B. Sushmi,

D. Subbulekshmi

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105046 - 105046

Published: April 1, 2025

Language: Английский

Citations

0
Improved Cuckoo Search Algorithm for Engineering Optimization Problems DOI
Shao-Qiang Ye, Azlan Mohd Zain, Yusliza Yusoff

et al.

Published: May 13, 2025

Abstract This paper proposes a grouped dynamic adaptive cuckoo search algorithm (GDACS) to overcome the shortcomings of standard (CS), such as poor local ability, slower speed in later stage and low convergence accuracy. The modifications GDACS could be summarized into two aspects. On one hand, chaotic map is used generate sequence for ensuring distribution initial solution more uniform increasing diversity because randomness initialization. other modified update strategy discussed replace random walk CS by evaluating fitness value bird's nest. According proposed strategy, populations will due pros cons fitness, different steps strategies are adopted groups realize an mechanism. In experiment part, optimization six selected functions executed reveal performance among CS, GDACS, variants. Experiential results analysis demonstrate that has efficient accurate results.

Language: Английский

Citations

0
Experimental validation of effective zebra optimization algorithm-based MPPT under partial shading conditions in photovoltaic systems DOI Creative Commons

Feriel Abdelmalek,

Hamza Afghoul, Fateh Krim

et al.

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

Published: Oct. 30, 2024

Language: Английский

Citations

3