Optimal Novel Fuzzy Control Design Method for ‎Efficient Grid-Connected Photovoltaic System

Shemshadi, Asaad; Haghighi, Hamidreza

doi:10.61882/jgeri.2.3.27

Optimal Novel Fuzzy Control Design Method for ‎Efficient Grid-Connected Photovoltaic System

Document Type : Research article

Authors

Asaad Shemshadi ^¶

Hamidreza Haghighi

Department of Electrical Engineering, Arak University of Technology, Arak, Iran.‎

https://doi.org/10.61882/jgeri.2.3.27

Abstract

In this article, the modified fuzzy controller tracks the maximum power point (MPP) ‎in a photovoltaic (PV) system connected to the grid under variable and standard ‎solar radiation and variable temperature conditions. The perturb and observe ‎‎(P&O) method has also been employed for MPP tracking (MPPT), and it has been ‎compared with the modified fuzzy method. Ultimately, the superiority of the ‎modified fuzzy method has been proven. In addition, the particle swarm algorithm ‎‎(PSO) is employed to make the fuzzy groups optimal, thereby enhancing the ‎performance of the fuzzy controller. In conclusion, implementing the designed phase ‎control for the PV system connected to the single-phase grid is paramount. ‎Furthermore, utilizing the hysteresis current control method facilitates inverter ‎switching, thereby ensuring the injection of maximum power into the grid‎‎‎‎.‎

Graphical Abstract

Optimal Novel Fuzzy Control Design Method for ‎Efficient Grid-Connected Photovoltaic System

Highlights

❖ A three-input fuzzy logic controller (E, CE, Vpv) is proposed for improved MPPT in grid-connected PV systems.
❖ PSO optimization enhances fuzzy membership functions, reducing oscillations and improving accuracy.
❖ The method outperforms the P&O algorithm under varying irradiance and temperature.
❖ Hysteresis current and PID control ensure stable grid synchronization and power injection.
❖ MATLAB simulations show reduced ripple and higher energy transfer efficiency.

Keywords

Fuzzy Logic Controller

Power Point Tracking

inverter

Particle Consensus Algorithm (PSO)

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The ethical issues, including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, have been completely observed by the authors.

Credit Authorship Contribution Statement

Asaad Shemshadi: Conceptualization, Data curation, Formal analysis, , Validation, Roles/Writing - original draft, Writing-review & editing. Hamidreza Haghighi: Formal analysis, Investigation, Software, Roles/Writing-original draft, Writing-review & editing.

Bibliography

Asaad Shemshadi was born on Nov 1, 1979. He received the B.Sc. degree from the Shiraz University, in 2003, the M.Sc. degree from the Kashan University, Iran in 2007, and PhD degree from Khaje Nasir Toosi University of Technology in 2014, all in Electrical engineering. His research interests are: Vacuum Interrupters design and analysis, high voltage simulations, thermal plasma modeling, high voltage equipments design, transients in vacuum arc quenching, renewable energies and pulsed power.‎

Hamidreza Haghighi was born on October 2, 1999 in Esfahan, Iran. He received his B.Sc and MSc. ‎degrees from Arak University of Technology, in the field of electrical engineering. His Interests ‎are: power systems transients, Electricity market, power system dynamics and renewable energies‎.

Citation

A. Shemshadi and H. Haghighi," Optimal Novel Fuzzy Control Design Method for Efficient Gridconnected Photovoltaic System," Journal of Green Energy Research and Innovation, vol. 2, no. 3, pp. 27-43, 2025.

[1] U.S. Energy Information Administration, International Energy Outlook 2014. Washington DC, 2014.

[2] L. D. Partian, Solar Cells and Their Applications. New York, NY, USA: John Wiley & Sons, 1995.

[3] M. R. Patel, and O. Beik, "Wind Power Systems," Wind and Solar Power Systems, pp. 37–62, 2021.

[4] International Energy Agency, World Energy Outlook 2004. Paris, France: IEA/OECD, 2004.

[5] M. Yaghoubi, "Studies of Environmental Compatible Buildings Using Domed Roof Architectures for Passive Cooling in Hot Arid Regions of Iran," in Proceedings of Sustainable Energy Development in Asia Conference, Beijing, China, Nov. 2008.

[6] M. S. Sivagamasundari, P. M. Mary, and V. K. Velvizhi, "Maximum Power Point Tracking for Photovoltaic System By Perturb And Observe Method Using Buck Boost Converter," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 2, no. 6, pp. 2433–2439, 2013.

[7] K. Kobayashi, I. Takano, and Y. Sawada, "A Study of a Two Stage Maximum Power Point Tracking Control of a Photovoltaic System Under Partially Shaded Insolation Conditions," Solar Energy Materials and Solar Cells, vol. 90, no. 18-19, pp. 2975–2988, 2006.

[8] K. Irisawa, T. Saito, I. Takano, and Y. Sawada, "Maximum Power Point Tracking Control of Photovoltaic Generation System Under Non-Uniform Insolation by Means of Monitoring Cells," Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036), pp. 1707–1710, n.d.

[9] T. Esram, J. Kimball, P. Krein, P. Chapman, and P. Midya, "Dynamic Maximum Power Point Tracking of Photovoltaic Arrays Using Ripple Correlation Control," IEEE Transactions on Power Electronics, vol. 21, no. 5, pp. 1282–1291, 2006.

[10] T. Noguchi, S. Togashi, and R. Nakamoto, "Short-Current Pulse Based Adaptive Maximum-Power-Point Tracking for Photovoltaic Power Generation System," ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543), vol. 1, pp. 157–162.

[11] M. Masoum, H. Dehbonei, and E. Fuchs, "Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power-Point Tracking," IEEE Transactions on Energy Conversion, vol. 17, no. 4, pp. 514–522, 2002.

[12] J. A. Jaleel, A. Nazar, and A. R. Omega, "Simulation on Maximum Power Point Tracking of the Photovoltaic Module Using LabVIEW," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 1, no. 3, pp. 190–199, 2012.

[13] E. Jimenez-Brea, A. Salazar-Llinas, E. Ortiz-Rivera, and J. Gonzalez-Llorente, "A Maximum Power Point Tracker Implementation for Photovoltaic Cells Using Dynamic Optimal Voltage Tracking," 2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), pp. 2161–2165, 2010.

[14] C. Ben Salah, and M. Ouali, "Comparison of Fuzzy Logic and Neural Network in Maximum Power Point Tracker for PV Systems," Electric Power Systems Research, vol. 81, no. 1, pp. 43–50, 2011.

[15] B. N. Alajmi, K. H. Ahmed, S. J. Finney, and B. W. Williams, "Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System," IEEE Transactions on Power Electronics, vol. 26, no. 4, pp. 1022–1030, 2011.

[16] R. Raja, L. U. Kumar, and S. R. Kumar, "Fuzzy logic controller for photovoltaic array simulator," 2013.

[17] S. Pirouzi, and A. Naderi, "Applying Sliding Mode Control Along with Particle Swarm Algorithm in Order to Optimally Control the System Wind Turbines with Variable Speed," Journal of Green Energy Research and Innovation, vol. 1, no. 2, pp. 64–80, 2024.

[18] BP SX051 – 051-watt multi crystalline photovoltaic module datasheet, 2001.

[19] B. Alatas, E. Akin, and A. B. Ozer, "Chaos Embedded Particle Swarm Optimization Algorithms," Chaos, Solitons & Fractals, vol. 40, no. 4, pp. 1715–1734, 2009.

[20] R. Poli, J. Kennedy, and T. Blackwell, "Particle Swarm Optimization," Swarm Intelligence, vol. 1, no. 1, pp. 33–57, 2007.

[21] M. A. Mahmud, H. R. Pota, and M. J. Hossain, "Nonlinear Current Control Scheme for a Single-Phase Grid-Connected Photovoltaic System," IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp. 218–227, 2014.

[22] Anonymous, "Power Electronics Converters Processing AC Voltage and Power Blocks Geometry," ADVANCED POWER ELECTRONICS CONVERTERS, pp. 56–87, 2014.

[23] S. E. Aminoroayaye yamani, M. Bahramian, and A. A. Ghadimi, "Improving Low Voltage Ride-Through Capability of ‎Doubly-Fed Induction Generator Wind Farms Using ‎Superconducting Fault Current Limiter," Journal of Green Energy Research and Innovation, vol. 1, no. 2, pp. 15–30, 2024.

[24] M. Mohseni, A. Niknam Kumleh, M. Alibakhshi, and M. Sheikhi Abou Masoudi, "Improving the Maximum Power Point Tracking in a Photovoltaic System Based on the Resistance-Predictive Method," Journal of Green Energy Research and Innovation, vol. 1, no. 2, pp. 81–102, 2024.