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Research Article |

Sustainable Grid Integration of PV Systems using Dual-Phase Boost Converter and Intelligent MPPT Techniques

Author(s): Blessy A. Rahiman1*,J. Jayakumar2, R. Meenal3

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 13, Issue 2

Publisher : FOREX Publication

Published : 30 August 2025

e-ISSN : 2347-470X

Page(s) : 438-446

DOI: https://doi.org/10.37391/IJEER.130307

Abstract

The increasing demand for energy and environmental concerns necessitate the integration of Renewable Energy Sources (RES), particularly Photovoltaic (PV) systems, into modern power grids. This paper presents an efficient grid connected PV system utilizing a dual-phase Interleaved Boost Converter (IBC) and an intelligent Maximum Power Point Tracking (MPPT) approach based on Adaptive Neuro Fuzzy Inference System (ANFIS). To enhance the controller's performance, optimization algorithms Class Topper Optimization (CTO), Falcon Optimization Algorithm (FOA), and Pufferfish Optimization Algorithm (POA) are employed. The dual phase IBC ensures reduced ripple, improved voltage gain, and stable power conversion. Simulation results in MATLAB/Simulink demonstrate that the proposed system achieves 94% efficiency, 0.95% Total Harmonic Distortion (THD), and a maximum MPPT tracking efficiency of 97.05% using the POA-ANFIS controller.

Keywords: Grid tied PV system, dual phase IBC, ANFIS, MPPT, CTO, FOA, POA.




Blessy A. Rahiman,Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India;Email: blessynaz@gmail.com

J. Jayakumar , Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India;Email: jayakumar@karunya.edu

R. Meenal, Department of Electrical and Electronics Engineering, V. S. B. Engineering College, Karur, India ;Email: meenasekar5@gmail.com

    [1] M. Badoni, A. Singh, A. K. Singh, H. Saxena, and R. Kumar, “Grid tied solar PV system with power quality enhancement using adaptive generalized maximum Versoria criterion,” CSEE J. Power Energy Syst., vol. 9, no. 2, pp. 722–732, 2021.
    [2] Z. T. Nayyef, M. M. Abdulrahman, and N. A. Kurdi, “Optimizing energy efficiency in smart grids using machine learning algorithms: A case study in electrical engineering,” SHIFRA, vol. 2024, pp. 46–54, Apr. 2024. doi: 10.70470/SHIFRA/2024/006.
    [3] Y. Niu, V. Abdullayev, A. V. Alyar, and A. T. Kamran, “Green technologies and their role in mitigating climate change: A comparative study across developing nations,” ESTIDAMAA, vol. 2023, pp. 27–35, Apr. 2023. doi: 10.70470/ESTIDAMAA/2023/004.
    [4] V. Abdullayev, Y. Niu, N. Ragimova, A. V. Alyar, and A. T. Kamran, “Harnessing renewable energy for sustainable urban development: Case studies from the MENA region,” ESTIDAMAA, vol. 2023, pp. 9–17, Feb. 2023. doi: 10.70470/ESTIDAMAA/2023/002.
    [5] Y. Niu, V. Abdullayev, A. V. Alyar, and A. T. Kamran, “Resilience and adaptation to climate change: Community-based strategies in coastal regions,” ESTIDAMAA, vol. 2023, pp. 36–43, May 2023. doi: 10.70470/ESTIDAMAA/2023/005.
    [6] K. Dhibi et al., “Interval-valued reduced ensemble learning based fault detection and diagnosis techniques for uncertain grid-connected PV systems,” IEEE Access, vol. 10, pp. 47673–47686, 2022.
    [7] Y. Li, S. Sahoo, T. Dragičević, Y. Zhang, and F. Blaabjerg, “Stability-oriented design of model predictive control for DC/DC boost converter,” IEEE Trans. Ind. Electron., vol. 71, no. 1, pp. 922–932, Jan. 2023.
    [8] D. H. Rasheed and S. B. Tambe, “Advancing energy efficiency with smart grids and IoT-based solutions for a sustainable future,” ESTIDAMAA, vol. 2024, pp. 36–42, Apr. 2024. doi: 10.70470/ESTIDAMAA/2024/006.
    [9] M. Nivedha, “PV connected grid system using modified boost converter with AI-based controller,” Proc. Int. Conf. on Electrical, Electronics, and Computer Engineering, 2024.
    [10] V. Kumar, S. Rattan, S. Prakash, and T. C. Sameer, “Artificial Neural Fuzzy Based MPPT for High Gain Zeta Converter for Standalone PV Application with Galvanic Isolation,” in Proc. IEEE RAEEUCCI, pp. 1–5, 2024.
    [11] K. S. Kavin et al., “Improved BRBFNN-based MPPT algorithm for coupled inductor KSK converter for sustainable PV system applications,” Electr. Eng., pp. 1–23, 2025. [Online]. Available: https://link.springer.com/article/10.1007/s00202-025-01732-9.
    [12] K. S. Kavin et al., “Coupled inductor interleaved boost converter with ANN and RNN based MPPT algorithm for PV system,” Int. J. Appl. Power Eng., vol. 13, no. 3, pp. xx–xx, 2024.
    [13] J. L. Seguel, S. I. Seleme Jr, and L. M. F. Morais, “Comparative study of Buck-Boost, SEPIC, Cuk and Zeta DC-DC converters using different MPPT methods for photovoltaic applications,” Energies, vol. 15, no. 21, p. 7936, 2022.
    [14] K. A. Mahafzah et al., “A new Cuk-based DC-DC converter with improved efficiency and lower rated voltage of coupling capacitor,” Sustainability, vol. 15, no. 11, p. 8515, 2023. doi: 10.3390/su15118515.
    [15] H. Tekin, G. Setrekli, E. Murtulu, H. Karşıyaka, and D. Ertekin, “A proposed single-input multi-output battery-connected DC–DC buck–boost converter for automotive applications,” Electronics, vol. 12, no. 20, p. 4381, 2023.

Blessy A. Rahiman, J. Jayakumar, and R. Meenal(2025),Sustainable Grid Integration of PV Systems using Dual-Phase Boost Converter and Intelligent MPPT Techniques. IJEER 13(3), 438-446. DOI: 10.37391/IJEER.130307.