Modeling and Simulation Control of MPPT in Solar Array for Green Hydrogen Production: التحكم في النمذجة والمحاكاةتتبع نقطة القدرة القصوى لمصفوفة الطاقة الشمسية لإنتاج الهيدروجين الأخضر

Ibrahim Imbayah; Hala El-Khozondar; Mashhood Hasan Mashhood Hasan; Abdulgader Alsharif Alsharif

doi:10.51646/jsesd.v14i1.457

Authors

Ibrahim Imbayah Department of Energy Engineering, College of Renewable Energy, Tajoura, Libya.
Hala J. El-Khozondar Department of Elec. Eng. and Smart Systems, Islamic University of Gaza, Gaza, Palestine. https://orcid.org/0000-0003-4384-1208
Mashhood Hasan EET Department, College of Applied Industrial Technology (CAIT), Jazan University, KSA. https://orcid.org/0000-0001-8107-0024
Abdulgader Alsharif Department of Electrical & Electronics Eng. Faculty of Technical Science, Sabha-Libya. https://orcid.org/0000-0003-3515-4168

DOI:

https://doi.org/10.51646/jsesd.v14i1.457

Keywords:

Renewable Energy, Green hydrogen, Maximum Power Point Tracking (MPPT), Fuzzy-Logic Controller (FLC), Solar Array.

Abstract

This article addresses the critical challenge of optimizing solar array performance for electrolysis-based green hydrogen generation. A fuzzy logic controller (FLC) for maximum power point tracking (MPPT) was proposed in this study to maximize the performance of solar arrays in electrolysis-based hydrogen generation. The FLC does away with the need for traditional methods like Perturb and Observe (P&O) by dynamically adjusting the DC-DC converter duty cycle based on real-time temperature and irradiance inputs. Under various climatic conditions, MATLAB/Simulink simulations show a 92% operational efficiency and a 25% increase in hydrogen output, surpassing P&O (78%) and Incremental Conductance (82%). The FLC is a reliable option for scaling renewable energy systems because of its versatility and inexpensive computational cost.

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References

R. Hren, A. Vujanović, Y. Van Fan, J.J. Klemeš, D. Krajnc, L. Čuček. “Hydrogen production, storage and transport for renewable energy and chemicals: An environmental footprint assessment,” Renew Sustain Energy Rev, 173 (2023), doi:10.1016/j.rser.2022.113113. DOI: https://doi.org/10.1016/j.rser.2022.113113

I. Imbayah, M. Hasan, H. El-Khozondar, M. Khaleel, A. Alsharif, and A. A. Ahmed, "Review paper on Green Hydrogen Production, Storage, and Utilization Techniques in Libya," Solar Energy and Sustainable Development Journal, vol. 13, no. 1, pp. 1–21, 2024. doi: 10.51646/jsesd.v13i1.165. DOI: https://doi.org/10.51646/jsesd.v13i1.165

A. Behzadi, S. M. Alirahmi, H. Yu, and S. Sadrizadeh, “An efficient renewable hybridization based on hydrogen storage for peak demand reduction: A rule-based energy control and optimization using machine learning techniques,” J. Energy Storage, vol. 57, no. September 2022, p. 106168, 2023, doi: 10.1016/j.est.2022.106168. DOI: https://doi.org/10.1016/j.est.2022.106168

K. Shivarama Krishna and K. Sathish Kumar, “A review on hybrid renewable energy systems,” Renew. Sustain. Energy Rev., vol. 52, pp. 907–916, Dec. 2015, doi: 10.1016/j.rser.2015.07.187. DOI: https://doi.org/10.1016/j.rser.2015.07.187

S. Hajiaghasi, A. Salemnia, and M. Hamzeh, “Hybrid energy storage system for microgrids applications: A review,” J. Energy Storage, vol. 21, no. August 2018, pp. 543–570, 2019, doi: 10.1016/j.est.2018.12.017. DOI: https://doi.org/10.1016/j.est.2018.12.017

O. M. Mohammed, “Renewable Energy: Sources, Integration, and Application: Review Article,” J. Eng. Res. Reports, vol. 20, no. 12, pp. 143–161, Sep. 2021, doi: 10.9734/jerr/2021/v20i1217426. DOI: https://doi.org/10.9734/jerr/2021/v20i1217426

R. Dufo-López, J. L. Bernal-Agustín, and J. Contreras, "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, 2007. pp. 1102-1126, doi: 10.1016/j.renene.2006.04.013. DOI: https://doi.org/10.1016/j.renene.2006.04.013

M. H. Cano, K. Agbossou, S. Kelouwani and Y. Dubé. "Experimental evaluation of a power management system for a hybrid renewable energy system with hydrogen production." Renewable Energy. 2017. pp. 1086-1098. doi: 10.1016/J.RENENE.2017.06.066. DOI: https://doi.org/10.1016/j.renene.2017.06.066

A. Bilodeau and K. Agbossou. "Control analysis of renewable energy system with hydrogen storage for residential applications." Journal of Power Sources. 2006. pp. 757-764. https://doi.org/10.1016/J.JPOWSOUR.2005.04.038. DOI: https://doi.org/10.1016/j.jpowsour.2005.04.038

H. J. El-Khozondar, R. J. El-Khozondar, K. Matter, "Simulation and Implementation of Incremental Conductance MPPT Algorithm for PV System", Journal of Mechatronics, 3(2), 174-178, 2015. http://www.aspbs.com/jom.htm. http://dx.doi.org/10.1166/jom.2015.1102 DOI: https://doi.org/10.1166/jom.2015.1102

M. Benghanem, N. Chettibi, H. Almohamadi. “Type-2 fuzzy-logic based control of photovoltaic-hydrogen production systems”. International Journal of Hydrogen Energy (2023), pp. 35477-35492, https://doi.org/10.1016/j.ijhydene.2023.05.360.

K. Ullah, M. Ishaq, F. Tchier, H. Ahmad, and Z. Ahmad, "Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system," Results Eng., vol. 20, p. 101466, 2023. doi: 10.1016/j.rineng.2023.101466. DOI: https://doi.org/10.1016/j.rineng.2023.101466

O.M. Babatunde, J.L. Munda, Y. Hamam . "Hybridized off-grid fuel cell/ wind/ solar PV / battery for energy generation in a small household: A multi-criteria perspective", International Journal of Hydrogen Energy, 2022, pp 6437-6452, https://doi.org/10.1016/j.ijhydene.2021.12.018. DOI: https://doi.org/10.1016/j.ijhydene.2021.12.018

J.-K. Shiau, Y.-C. Wei, and B.-C. Chen, "A study on the fuzzy-logic-based solar power MPPT algorithms using different fuzzy input variables," Algorithms, vol. 8, no. 2, pp. 100-127, 2015. doi: 10.3390/a8020100. DOI: https://doi.org/10.3390/a8020100

T. M. de Lima and J. A. C. B. Oliveira, "FPGA-Based Fuzzy Logic Controllers Applied to the MPPT of PV Panels—A Systematic Review," in IEEE Transactions on Fuzzy Systems, vol. 32, no. 8, pp. 4260-4269, Aug. 2024, doi: 10.1109/TFUZZ.2024.3392846. DOI: https://doi.org/10.1109/TFUZZ.2024.3392846

R. Thankakan and E. R. Samuel Nadar, "Application of fuzzy logic-based MPPT technique for harvesting the heat energy dissipated by the wind generator stator windings to power single-phase AC grid systems," Neural Comput. Appl., vol. 32, pp. 15155-15170, 2020. doi: 10.1007/s00521-020-04865-z. DOI: https://doi.org/10.1007/s00521-020-04865-z

K. Matter, H. J. El-Khozondar, R. J. El-Khozondar, T. Suntio," Matlab/Simulink Modeling to study the effect of partially shaded condition on Photovoltaic array's Maximum Power Point", International Research journal of engineering and Technology, 2 (2),697-703, 2015. https://www.irjet.net.

H. J El-Khozondar, R. El-Khozondar, K. Matter, "Parameters influence on MPP value of the photo voltaic cell," Energy Procedia, 74, 1142 – 1149, 2015. DOI: https://doi.org/10.1016/j.egypro.2015.07.756

A. Hossein, M. Khosravi, M. Soroush, S. Ghamari. “Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters.” IET Power Electronics (2024). pp. 603-617. https://doi.org/ 10.1049/pel2.12669. DOI: https://doi.org/10.1049/pel2.12669

M. Benghanem, N. Chettibi, A. Mellit, H. Almohamadi. “Type-2 fuzzy-logic based control of photovoltaic-hydrogen production systems.” International Journal of Hydrogen Energy (2023). pp. 35477-35492. DOI: https://doi.org/10.1016/j.ijhydene.2023.05.360

Y. Qiu, Q. Li, Y. Ai, T. Wang, W. Chen, H. Bai, M. Benbouzid, S., Liu, F. Gao, “Optimal scheduling for microgrids considering long-term and short-term energy storage" Journal of Energy Storage. (2024). pp. 112-137. https://doi.org/10.1016/j.est.2024.112137. DOI: https://doi.org/10.1016/j.est.2024.112137

A. E. Farrell, D. Sperling, S. Arons, A. Brandt, M. Delucchi, A. Eggert, et al., "A low-carbon fuel standard for California Part 1: Technical analysis," UC Berkeley: Transportation Sustainability Research Center, 2007.

A. Hafez, N. Fathi, M. Hamdan, S. Alsadi, "Technical and economical feasibility of utility-scale solar energy conversion systems in Saudi Arabia," Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol.44, 2020, 213-225. doi. 10.1007/s40998-019-00233-3. DOI: https://doi.org/10.1007/s40998-019-00233-3

Z Han, X Yao, S Yuan, H Dong, S Ma, Y Dong - Energy Reports. “Research on the control strategy of photovoltaic hydrogen generation system based on Fuzzy PI control”. EnergyReports (2023), pp. 35477-35492. doi. 10.1016/ j.egyr. 2023.02.079.