A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems DOI Creative Commons
Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef

et al.

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

Published: Nov. 8, 2024

This research study presents the application of FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in context maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing three-level boost converter (TLBC). The proposed approach involves integration an intelligent fuzzy controller with predictive current control strategy order to improve performance MPP tracking. Initially, utilization logic data values obtained from PEMFC. (P-I) PEMFC polarization curve is determined, followed by selection reference current. A technique employs ensure voltage balance output capacitor converter. hardware-in-the-loop utilizes real-time and high-speed simulator, specifically PLECS RT Box 1, obtain findings. computational cost overall rather low, making it feasible construct using 1. new MPPT quickly finds (MPP) balances capacitors number different cells. suggested has been verified demonstrate rapid location, as well precise balancing robustness environmental variations. was tested found outperform conventional methods like Perturb Observe (P&O) Incremental Conductance (IC) terms duration, precision, balancing, achieving 15% reduction 5% deviation value voltage, superior stability under changing temperature pressure.

Language: Английский

A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system DOI Creative Commons

AL-Wesabi Ibrahim,

Jiazhu Xu, Imad Aboudrar

et al.

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

Published: Jan. 25, 2025

This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics motion cycles of entire horses. Next, linear active disturbance rejection control (LADRC) was applied to monitor HHOA's reference voltage output. LADRC, known managing uncertainties disturbances, improves anti-interference capacity point tracking (MPPT) speeds up system's response rate. Then, in comparison traditional (perturb & observe; P&O) metaheuristic algorithms (conventional particle swarm optimization; CPSO, grasshopper GHO, deterministic PSO; DPSO) through DSEC, simulations results demonstrate combination HHOA-LADRC can successfully track global peak (GMP) with less fluctuations quicker convergence time. Finally, experimental investigation proposed accomplished NI PXIE-1071 Hardware-In-Loop (HIL) prototype. output findings show effectiveness provided may approach value higher than 99%, showed rate converging oscillations detection mechanism.

Language: Английский

Citations

1
Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems DOI Creative Commons

Karthik Nagarajan,

Arul Rajagopalan,

Mohit Bajaj

et al.

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

Published: Aug. 16, 2024

Researchers are increasingly focusing on renewable energy due to its high reliability, independence, efficiency, and environmental benefits. This paper introduces a novel multi-objective framework for the short-term scheduling of microgrids (MGs), which addresses conflicting objectives minimizing operating expenses reducing pollution emissions. The core contribution is development Chaotic Self-Adaptive Sine Cosine Algorithm (CSASCA). algorithm generates Pareto optimal solutions simultaneously, effectively balancing cost reduction emission mitigation. problem formulated as complex optimization task with goals protection. To enhance decision-making within algorithm, fuzzy logic incorporated. performance CSASCA evaluated across three scenarios: (1) PV wind units at full power, (2) all specified limits unrestricted utility power exchange, (3) microgrid operation using only non-zero-emission sources. third scenario highlights algorithm's efficacy in challenging context not covered prior research. Simulation results from these scenarios compared traditional (SCA) other recent methods test examples. innovation lies chaotic self-adaptive mechanisms, significantly performance. integration mechanisms superior cost, emissions, execution time. Specifically, achieves values 590.45 €ct 337.28 kg emissions first scenario, 98.203 406.204 second 95.38 982.173 scenario. Overall, outperforms SCA by offering enhanced exploration, improved convergence, effective constraint handling, reduced parameter sensitivity, making it powerful tool solving problems like scheduling.

Language: Английский

Citations

7
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
A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment DOI Creative Commons
Hamid Belghiti, Khalid Kandoussi,

Ambe Harrison

et al.

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

Published: Dec. 30, 2024

This paper introduces an innovative, adaptive Fractional Open-Circuit Voltage (FOCV) algorithm combined with a robust Improved Model Reference Adaptive Controller (IMRAC) for Maximum Power Point Tracking (MPPT) in standalone photovoltaic (PV) systems. The proposed two-stage control strategy enhances energy efficiency, simplifies system operation, and addresses limitations conventional MPPT methods, such as slow convergence, high oscillations, susceptibility to environmental fluctuations. first stage dynamically estimates the (MPP) voltage using novel FOCV method, which eliminates need irradiance sensors or physical disconnection of PV modules. incorporates real-time adjustment kv factor based on variations power, ensuring precise estimation. In second stage, IMRAC controller ensures accurate tracking MPP by adapting swiftly changes temperature, while minimizing ripple power loss. Validation was carried out Processor-in-the-Loop (PIL) testing Arduino Due microcontroller, showcasing real-world applicability. Comparative analysis state-of-the-art controllers, including P&O-PI, InC-SMC, FLC, VS P&O Backstepping, demonstrates superior efficiency exceeding 99.49% under EN 50,530 standard test conditions. also maintains exceptional performance minimal loss across wide range temperature variations. By combining simplicity, robustness, sustainability, this work establishes cutting-edge solution systems, paving way more efficient reliable renewable applications.

Language: Английский

Citations

3
An enhanced maximum power point tracking and voltage control for proton exchange membrane fuel cell using predictive model control techniques DOI Creative Commons
Jye Yun Fam, Shen Yuong Wong,

Hazrul Bin Mohamed Basri

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 2958 - 2970

Published: Sept. 6, 2024

Language: Английский

Citations

1
A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems DOI Creative Commons
Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef

et al.

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

Published: Nov. 8, 2024

This research study presents the application of FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in context maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing three-level boost converter (TLBC). The proposed approach involves integration an intelligent fuzzy controller with predictive current control strategy order to improve performance MPP tracking. Initially, utilization logic data values obtained from PEMFC. (P-I) PEMFC polarization curve is determined, followed by selection reference current. A technique employs ensure voltage balance output capacitor converter. hardware-in-the-loop utilizes real-time and high-speed simulator, specifically PLECS RT Box 1, obtain findings. computational cost overall rather low, making it feasible construct using 1. new MPPT quickly finds (MPP) balances capacitors number different cells. suggested has been verified demonstrate rapid location, as well precise balancing robustness environmental variations. was tested found outperform conventional methods like Perturb Observe (P&O) Incremental Conductance (IC) terms duration, precision, balancing, achieving 15% reduction 5% deviation value voltage, superior stability under changing temperature pressure.

Language: Английский

Citations

1