Coati Optimized RBFNN MPPT-Controlled Interleaved DuoCore High-Gain Converter for PV Grid Integration
DOI:
https://doi.org/10.53799/gy5g0f03Keywords:
Photovoltaic, COA-RBFNN, MPPT, Interleaved DuoCore high-gain converter, BatteryAbstract
The necessity for effective Photovoltaic (PV) power integration with dependable grid support has been brought to light by the rising demand for clean and sustainable energy. However, issues including variable solar radiation, erratic voltage and ineffective energy storage management frequently lower system performance. Therefore, this paper proposes a grid-connected PV architecture with a Coati Optimisation Algorithm (COA) tuned Radial Basis Function Neural Network (RBFNN) based MPPT for precise and quick maximum power extraction to address these problems. An interleaved DuoCore high-gain converter is deployed to boost up the PV output with less ripple. The system uses a Bidirectional DC–DC (BDC) converter to control battery charging and discharging for steady energy flow. A three-phase Voltage Source Inverter (VSI) controlled via a Proportional Integral (PI) regulator guarantees synchronized grid integration by preserving active and reactive power balance. The outcomes from MATLAB/Simulink ensures that the proposed architecture is appropriate for grid stability and dependability by accomplishing power conversion efficiency of (96%) and tracking accuracy (99.2%) compared to the other traditional strategies.
References
[1] K. Swamynathan, N. Mahalingam, A. Paramasivam, and S. Vijayalakshmi, “PV based OFF grid charging station for E-vehicles using PWM and phase shift controlled interleaved three port converter,” SN Applied Sciences, vol. 5, no. 12, pp. 331, Dec. 2023. https://doi.org/10.1007/s42452-023-05571-w.
[2] S. Karlilar Pata, and M. Balcilar, "Decarbonizing energy: Evaluating fossil fuel displacement by renewables in OECD countries, Environmental Science and Pollution Research, vol. 31, no. 21, pp. 31304-31313, 2024.
[3] B. U. D. Abdullah, S. L. Dhar, S. P. Jaiswal, M. M. Gulzar, M. Alqahtani, and M. Khalid, “Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid,” Frontiers in Energy Research, vol. 12, pp. 1505419, Jan. 2025. https://doi.org/10.3389/fenrg.2024.1505419.
[4] S. M. Belhadj, B. Meliani, H. Benbouhenni, I. Colak, Z. M. S. Elbarbary, and S. F. Al-Gahtani, “Control of three-level quadratic DC-DC boost converters for energy systems using various technique-based MPPT methods,” Scientific Reports, vol. 15, no. 1, pp. 14631, Apr. 2025. https://doi.org/10.1038/s41598-025-99551-2.
[5] S. Khan, M. Zaid, M. M. A. Khan, and A. Sarwar, “A non-pulsating input current step-up DC/DC converter with common ground structure for photovoltaic applications,” IEEE Access, vol. 9, pp. 159432-159446, Nov. 2021. https://doi.org/10.1109/ACCESS.2021.3128255.
[6] M. L. Alghaythi, R. M. O’Connell, N. E. Islam, M. M. S. Khan, and J. M. Guerrero, “A high step-up interleaved DC-DC converter with voltage multiplier and coupled inductors for renewable energy systems,” IEEE Access, vol. 8, pp. 123165-123174, Jul. 2020. https://doi.org/10.1109/ACCESS.2020.3007137.
[7] S. W. Seo, J. H. Ryu, Y. Kim, and H. H. Choi, “Non-isolated high step up DC/DC converter with coupled inductor and switched capacitor,” IEEE Access, vol. 8, pp. 217108217122, Dec. 2020. https://doi.org/10.1109/ACCESS.2020.3041738.
[8] Y. Zheng, B. Brown, W. Xie, and S. Li, “High step-up DCDC converter with zero voltage switching and low input current ripple,” IEEE Transactions on Power Electronics, vol. 35, no. 9, pp. 94169429, Jan. 2020. https://doi.org/10.1109/TPEL.2020.2968613.
[9] V. Abbasi, S. Rostami, S. Hemmati, and S. Ahmadian, “Ultrahigh step-up quadratic boost converter using coupled inductors with low voltage stress on the switches,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 6, pp. 7733-7743, Aug. 2022. https://doi.org/10.1109/JESTPE.2022.3195817.
[10] S. Pirpoor, S. Rahimpour, M. Andi, N. Kanagaraj, S. Pirouzi, and A. H. Mohammed, “A novel and high-gain switched-capacitor and switched-inductor-based DC/DC boost converter with low input current ripple and mitigated voltage stresses,” IEEE Access 10, pp. 32782-32802, Mar. 2022. 10.1109/ACCESS.2022.3161576.
[11] G. Tsolaridis, M. Jeong, and J. Biela, “Evaluation of current control structures for multi-phase interleaved DC-DC converters,” IEEE Access, vol. 9, pp. 142616-142631, Oct. 2021. https://doi.org/10.1109/ACCESS.2021.3121060.
[12] A. Rajulapati, and P. Mahalingam, “High gain multi-input converter with inherent current sharing mechanism for photovoltaic applications,” Solar Energy, vol. 233, pp. 118-133, Feb. 2022. https://doi.org/10.1016/j.solener.2022.01.028.
[13] K. S. Kavin, and P. Subha Karuvelam, “PV-based grid interactive PMBLDC electric vehicle with high gain interleaved DC-DC SEPIC Converter,” IETE Journal of Research, vol. 69, no. 7, pp. 4791-4805, Sep. 2023. https://doi.org/10.1080/03772063.2021.1958070.
[14] S. Nagaraja Rao, S. K. Anisetty, B. M. Manjunatha, B. M. Kiran Kumar, V. Praveen Kumar, and S. Pranupa, “Interleaved high-gain boost converter powered by solar energy using hybrid-based MPP tracking technique,” Clean Energy, vol. 6, no. 3, pp. 460-475, Jun. 2022. https://doi.org/10.1093/ce/zkac026.
[15] K. S. Kavin, P. Subha Karuvelam, M. Devesh Raj, and M. Sivasubramanian, “A novel KSK converter with machine learning MPPT for PV applications,” Electric power components and systems, pp. 1-19, Apr. 2024. https://doi.org/10.1080/15325008.2024.2346806.
[16] S. R. Kiran, C. H. Basha, V. P. Singh, C. Dhanamjayulu, B. R. Prusty, and B. Khan, “Reduced simulative performance analysis of variable step size ANN based MPPT techniques for partially shaded solar PV systems,” IEEE access, vol. 10, pp. 48875-48889, May 2022. https://doi.org/10.1109/ACCESS.2022.3172322.
[17] Y. Türkay, and A. G. Yüksek, “Investigating The Potential of An ANFIS Based Maximum Power Point Tracking Controller for Solar Photovoltaic Systems,” IEEE Access, Mar. 2025. https://doi.org/10.1109/ACCESS.2025.3547954.
[18] A. M. Eltamaly, H. M. Farh, and A. G. Abokhalil, “A novel PSO strategy for improving dynamic change partial shading photovoltaic maximum power point tracker,” Energy sources, part a: recovery, utilization, and environmental effects, vol. 46, no. 1, pp. 8736-8750, Dec. 2024. https://doi.org/10.1080/15567036.2020.1769774.
[19] C. González-Castaño, C. Restrepo, S. Kouro, and J. Rodriguez, “MPPT algorithm based on artificial bee colony for PV system,” IEEE Access,vol. 9, pp. 43121-43133, Mar. 2021. https://doi.org/10.1109/ACCESS.2021.3066281.
[20] C. Restrepo, N. Yanẽz-Monsalvez, C. González-Castaño, S. Kouro, and J. Rodriguez, “A fast converging hybrid mppt algorithm based on abc and p&o techniques for a partially shaded pv system,” Mathematics, vol. 9, no. 18, pp. 2228, Sep. 2021. https://doi.org/10.3390/math9182228.
[21] Z. Zhao, M. Zhang, Z. Zhang, Y. Wang, R. Cheng, J. Guo, P. Yang, C. S. Lai, P. Li, and L. L. Lai, “Hierarchical pigeon-inspired optimization-based MPPT method for photovoltaic systems under complex partial shading conditions,” IEEE Transactions on Industrial Electronics, vol. 69, no. 10, pp. 10129-10143, Dec. 2021. https://doi.org/10.1109/TIE.2021.3137595.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 AIUB Journal of Science and Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
AJSE contents are under the terms of the Creative Commons Attribution License. This permits anyone to copy, distribute, transmit and adapt the work non-commercially provided the original work and source is appropriately cited.
