Hybrid PV-wind microgrid are strongly nonlinear and high rate of transient disturbance by irradiance and wind speed, which directly impact on the DC-link stability and power quality in the grid. This work includes a Matlab/Simulink version of a grid connected hybrid renewable microgrid that consists of the PV array with perturb and observe (PO) maximum power point tracking (MPPT) and the wind energy conversion system based on a wind turbine-driven permanent magnet synchronous generator (PMSG). To improve regulation for a changing op- erating condition, small rule bases are used for converter/DC- link control with compact Sugeno-type neuro-fuzzy controllers to achieve nonlinear operations without having to frequently re- tune the gain. Out of PLL scheduled synchronization and dq-axis management of consistent injection of current the grid integration is implemented. Simulation results under step variations in irradiance and wind speed show a reduction in the deviation of the DC-link voltage, faster settling, and better grid current dynamics than conventional control, thus, showing the improved robustness in hybrid renewable integration.

The proposed grid connected hybrid PV-Wind micro- grid was implemented and validated successfully in Mat- lab/Simulink. Simulation results under the irradiance and wind-speed disturbances demonstrate the improvement of the neuro-fuzzy-assisted control for the DC link voltage regulation by decreasing the peak deviation, increasing the recovery time, and reducing the steady-state ripple. Battery energy storage is further used to smooth the transient power imbalance while the PLL-based dq control allows to maintain synchronized and balanced grid current injection. In general, the system shows a stable and robust operation in the case of renewable intermittent conditions, which justifies the relevance of the suggested control strategy in the integration of a hybrid microgrid.

[1]S. Golestan, J. M. Guerrero, and J. C. Vasquez, “Three-phase PLLs: A review of recent advances,” IEEE Transactions on Power Electronics, vol. 32, no. 3, pp. 1894–1907, Mar. 2017, doi: 10.1109/TPEL.2016.2565642. [2]Z. Ali, N. Christofides, L. Hadjidemetriou, E. Kyriakides, Y. Yang, and F. Blaabjerg, “Three-phase phase-locked loop synchronization algorithms for grid-connected renewable energy systems: A review,” Renewable and Sustainable Energy Reviews, vol. 90, pp. 434–452, 2018, doi: 10.1016/j.rser.2018.03.086. [3]R. Kharb, S. L. Shimi, S. Chatterji, and M. F. Ansari, “Modeling of solar PV module and maximum power point tracking using ANFIS,” Renewable and Sustainable Energy Reviews, vol. 33, pp. 602–612, May 2014, doi: 10.1016/j.rser.2014.02.014. [4]F. Belhachat and C. Larbes, “Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions,” Renewable and Sustainable Energy Reviews, vol. 77, pp. 875–889, Sep. 2017, doi: 10.1016/j.rser.2017.02.056. [5]A. A. Aldair, A. A. Obed, and A. F. Halihal, “Design and implementation of ANFIS-reference model controller based MPPT using FPGA for photovoltaic system,” Renewable and Sustainable Energy Reviews, vol. 82, pp. 2202–2217, 2018, doi: 10.1016/j.rser.2017.08.071. [6]H. Al-Mattarneh et al., “Sliding mode control-based grid connected PV-wind-battery powered microgrid system,” in Proc. 2025 IEEE 5th Int. Conf. on Sustainable Energy and Future Electric Trans- portation (SEFET), Jaipur, India, 2025, pp. 1–7, doi: 10.1109/SE- FET65155.2025.11255067. [7]E. M. Hosny, M. S. Soliman, H. M. A. Mageed, M. M. Samy, and A. Y. Abdelaziz, “Optimal sizing of a microgrid based on PV-wind: A case study of a resort in Matruh Government, Egypt,” in Proc. 2024 25th Int. Middle East Power System Conf. (MEPCON), Cairo, Egypt, 2024, pp. 1–7, doi: 10.1109/MEPCON63025.2024.10850320. [8]R. Teodorescu, M. Liserre, and P. Rodriguez, Grid Converters for Photovoltaic and Wind Power Systems. Hoboken, NJ, USA: John Wiley & Sons, 2011, doi: 10.1002/9780470667057. [9]J.-S. R. Jang, “ANFIS: Adaptive-network-based fuzzy inference system,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, no. 3, pp. 665–685, May–Jun. 1993, doi: 10.1109/21.256541. [10]A. Ghanem, M. Rashed, M. Elsayes, and I. I. I. Mansy, “Hybrid active damping of LCL-filtered grid connected converter,” in Proc. IEEE Int. Symp. Power Electronics for Smart Grid (SPEC), 2016, doi: 10.1109/SPEC.2016.7846193. [11]D. Khan, K. Zhu, P. Hu, M. Waseem, E. Ahmed, and Z. Lin, “Active damping of LCL-filtered grid-connected inverter based on parallel feed- forward compensation strategy,” Ain Shams Engineering Journal, vol. 14, p. 101902, Aug. 2022, doi: 10.1016/j.asej.2022.101902. [12]A. Maity, S. Kumar, P. Pattanayak, and S. Yadav, “Optimal design of hybrid microgrid for a university campus using HOMER software,” in Proc. 2024 10th Int. Conf. on Electrical Energy Systems (ICEES), Chen- nai, India, 2024, pp. 1–6, doi: 10.1109/ICEES61253.2024.10776827. [13]B. Cui, H. Yang, X. Luo, X. Wang, and X. Li, “Optimal energy dispatch for grid-connected microgrids based on multi-objective ar- tificial hummingbird algorithm,” in Proc. 2024 43rd Chinese Con- trol Conf. (CCC), Kunming, China, 2024, pp. 7179–7184, doi: 10.23919/CCC63176.2024.10661537. [14]M. Sa¨ıd-Romdhane, M. Naouar, I. Slama-Belkhodja, and E. Monmasson, “Robust active damping methods for LCL filter based grid connected converters,” IEEE Transactions on Power Electronics, vol. 32, no. 9, pp. 6737–6745, Sep. 2017, doi: 10.1109/TPEL.2016.2626290. [15]G. Ding, F. Gao, S. Zhang, P. C. Loh, and F. Blaabjerg, “Control of hybrid AC/DC microgrid under islanding operational conditions,” Journal of Modern Power Systems and Clean Energy, vol. 2, no. 3, pp. 223–232, Sep. 2014, doi: 10.1007/s40565-014-0065-z. [16]N. V. A. Bhavani, A. Singh, and D. Kumar, “Modeling of GAO-ANFIS controller-based hybrid solar photovoltaic and wind power system with seven-level converter,” Energy Storage and Saving, vol. 3, pp. 259–269, Dec. 2024, doi: 10.1016/j.enss.2024.05.002.

© 2025 International Journal of Engineering and Techniques (IJET).

Digital Object Identifier (DOI)

IJET assigns a unique DOI to every accepted article via Zenodo for persistent linking and citation. Your article’s DOI: https://doi.org/{{doi}}

Open DOI About Zenodo DOI

Close