Next Article in Journal
Robust Segmentation of Mangrove in Remote Sensing Images via ODE-Based Neural Networks and Adversarial Training
Previous Article in Journal
Forensic Facial Reconstruction in the Age of Deep Learning: Accuracy, Bias, and Future Perspectives
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Integrating Fuel Cells, Photovoltaics, and Wind Turbines for Maximum Renewable Energy Efficiency

1
Department of Electrical and Electronics Engineering, Engineering and Architecture Faculty, Nevsehir Hacı Bektaş Veli University, Nevşehir 50160, Türkiye
2
Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA
3
Department of Electrical and Electronics Engineering, Engineering Faculty, Dicle University, Diyarbakır 21280, Türkiye
4
Department of Electric Power and Energy System, Dicle University, Diyarbakir 21280, Türkiye
5
Department of Electrical and Electronics Engineering, Engineering Faculty, Fırat University, Elazığ 23280, Türkiye
*
Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(12), 5818; https://doi.org/10.3390/app16125818 (registering DOI)
Submission received: 26 February 2026 / Revised: 21 May 2026 / Accepted: 1 June 2026 / Published: 9 June 2026

Abstract

Hybrid renewable energy systems (HRES) integrating photovoltaic arrays (PV), wind turbines (WT), and fuel cells (FC) require coordinated maximum power extraction to maintain stable operation under dynamic environmental and load conditions. Conventional MPPT approaches based on independent source-level control often suffer from adverse source interaction, increased steady-state oscillation, degraded DC-link stability, and reduced total extracted power when multiple renewable sources operate simultaneously. To address these limitations, this paper proposes an integrated perturb-and-observe control framework for coordinated power optimization in photovoltaic–wind–fuel-cell hybrid renewable energy systems connected through a shared DC-link structure. Unlike conventional independent MPPT controllers, the proposed strategy evaluates the aggregate power behavior of the integrated system and performs coordinated duty-cycle adaptation to improve renewable-energy utilization while suppressing source conflicts and dynamic coupling effects. The proposed controller is implemented and validated using a real-time digital simulator under a sequential disturbance profile consisting of an irradiance drop at 0.2 s, wind-speed increase at 0.4 s, hydrogen-pressure fluctuation at 0.6 s, and load variation at 0.8 s. Comparative evaluation against conventional perturb-and-observe, incremental conductance, and fuzzy-logic-based MPPT methods demonstrates that the proposed framework achieves a tracking efficiency of 97.8%, reduces steady-state tracking error to 2.2%, and improves settling time by 42.8% under these dynamic operating conditions. In addition, the proposed controller exhibits lower oscillatory behavior, improved extracted renewable power, and enhanced DC-link stability during simultaneous multi-source disturbances. The results demonstrate that the proposed framework provides an effective real-time coordination strategy for hydrogen-enabled hybrid renewable energy systems operating under dynamically coupled renewable-source conditions.
Keywords: hybrid renewable energy system; integrated MPPT; fuel cell; photovoltaic system; wind turbine; MPPT efficiency; renewable energy utilization; extracted power optimization hybrid renewable energy system; integrated MPPT; fuel cell; photovoltaic system; wind turbine; MPPT efficiency; renewable energy utilization; extracted power optimization

Share and Cite

MDPI and ACS Style

Kocalmış Bilhan, A.; Haydaroğlu, C.; Kılıç, H.; Demir, Y. Integrating Fuel Cells, Photovoltaics, and Wind Turbines for Maximum Renewable Energy Efficiency. Appl. Sci. 2026, 16, 5818. https://doi.org/10.3390/app16125818

AMA Style

Kocalmış Bilhan A, Haydaroğlu C, Kılıç H, Demir Y. Integrating Fuel Cells, Photovoltaics, and Wind Turbines for Maximum Renewable Energy Efficiency. Applied Sciences. 2026; 16(12):5818. https://doi.org/10.3390/app16125818

Chicago/Turabian Style

Kocalmış Bilhan, Ayşe, Cem Haydaroğlu, Heybet Kılıç, and Yakup Demir. 2026. "Integrating Fuel Cells, Photovoltaics, and Wind Turbines for Maximum Renewable Energy Efficiency" Applied Sciences 16, no. 12: 5818. https://doi.org/10.3390/app16125818

APA Style

Kocalmış Bilhan, A., Haydaroğlu, C., Kılıç, H., & Demir, Y. (2026). Integrating Fuel Cells, Photovoltaics, and Wind Turbines for Maximum Renewable Energy Efficiency. Applied Sciences, 16(12), 5818. https://doi.org/10.3390/app16125818

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop