Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions
Öz
This study proposes a time-dependent switched adaptive boost converter architecture to enhance dynamic stability and improve power transfer efficiency in photovoltaic (PV) systems operating under varying irradiance and temperature conditions. Conventional boost converters typically use fixed passive components, which often lead to overshoot, oscillations, and instability during rapid environmental changes. These issues negatively impact both converter performance and the effectiveness of maximum power point tracking (MPPT) algorithms. In the proposed approach, groups of inductors and capacitors are dynamically switched on and off through a time-based control mechanism, allowing real-time reconfiguration of the converter topology. This adaptive configuration introduces an additional energy buffering capability, thereby improving the system’s transient response against sudden irradiance fluctuations. The system was modeled and simulated in the MATLAB Simulink environment and evaluated using Perturb and Observe (P&O), Incremental Conductance (IC), and a hybrid Particle Swarm Optimization–Incremental Conductance (PSO–IC) MPPT algorithms. Comparative results between classical and adaptive converter structures demonstrate that the proposed system achieves lower root mean square error (RMSE), reduced mean absolute percentage error (MAPE), and decreased output power ripple. Among the tested methods, the adaptive converter integrated with the PSO–IC hybrid algorithm exhibited the best performance, achieving a tracking efficiency of 96.56%, faster convergence, and minimized power oscillations. Overall, the proposed adaptive converter structure provides a more stable, accurate, and efficient energy conversion compared to traditional designs, significantly enhancing the reliability of PV systems and MPPT performance. Future work will focus on hardware implementation and evaluation with alternative metaheuristic MPPT techniques.
Anahtar Kelimeler
Kaynakça
- [1] T.C. Enerji ve Tabii Kaynaklar Bakanlığı, “Elektrik,” Bilgi Merkezi Enerji, [Online]. Available: https://enerji.gov.tr/bilgi-merkezi-enerji-elektrik. Accessed: Oct. 27, 2025.
- [2] K. Javed, H. Ashfaq, and R. Singh, “An Improved MPPT Algorithm to Minimize Transient and Steady State Oscillation Conditions for Small SPV Systems,” International Journal of Renewable Energy Development (IJRED), vol. 7, no. 3, pp. 191–197, 2018. doi: 10.14710/ijred.7.3.191-197.
- [3] B. Liu, S. Duan, F. Liu, and Y. Kang, “A variable step size INC MPPT method for PV systems,” IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2622–2628, Jul. 2011.
- [4] Z. Li, S. Kai, X. Yan, F. Lanlan, and H. Guo, “A modular grid-connected photovoltaic generation system based on DC bus,” IEEE Trans. Power Electron., vol. 26, no. 2, pp. 523–531, Feb. 2011.
- [5] J. L. Agorreta, M. Borrega, J. López, and L. Marroyo, “Modeling and control of N-paralleled grid-connected inverters with LCL filter coupled due to grid impedance in PV plants,” IEEE Trans. Power Electron., vol. 26, no. 3, pp. 770–785, Mar. 2011.
- [6] Y. Bo, W. Liu, Y. Zhang, and X. He, “Design and analysis of a grid-connected photovoltaic power system,” IEEE Trans. Power Electron., vol. 25, no. 4, pp. 992–1000, Apr. 2010.
- [7] A. Saberi, M. Niroomand, and B. M. Dehkordi, “An improved P&O based MPPT for PV systems with reduced steady-state oscillation,” Int. J. Energy Res., vol. 47, no. ?, pp. 1–15, Jul. 2023, doi: 10.1155/2023/4694583.
- [8] M. R. Vincheh, A. Kargar, and G. A. Markadeh, “A hybrid control method for maximum power point tracking (MPPT) in photovoltaic systems,” Arabian J. Sci. Eng., vol. 39, pp. 4715–4725, 2014.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Elektrik Mühendisliği (Diğer), Yenilenebilir Enerji Sistemleri
Bölüm
Araştırma Makalesi
Yazarlar
Burak Kara
*
0000-0002-4453-6515
Türkiye
Cem Emeksiz
0000-0002-4817-9607
Türkiye
Mehmet Serhat Can
0000-0003-2356-9921
Türkiye
Erken Görünüm Tarihi
13 Temmuz 2026
Yayımlanma Tarihi
31 Ağustos 2026
Gönderilme Tarihi
8 Nisan 2026
Kabul Tarihi
31 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 10 Sayı: 1