Araştırma Makalesi

Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions

Cilt: 10 Sayı: 1 31 Ağustos 2026
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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. [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. [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. [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.
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  5. [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.
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  8. [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

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

Kaynak Göster

APA
Kara, B., Emeksiz, C., & Can, M. S. (2026). Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions. International Journal of Multidisciplinary Studies and Innovative Technologies, 10(1), 9-22. https://doi.org/10.36287/ijmsit.10.1.2
AMA
1.Kara B, Emeksiz C, Can MS. Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions. IJMSIT. 2026;10(1):9-22. doi:10.36287/ijmsit.10.1.2
Chicago
Kara, Burak, Cem Emeksiz, ve Mehmet Serhat Can. 2026. “Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions”. International Journal of Multidisciplinary Studies and Innovative Technologies 10 (1): 9-22. https://doi.org/10.36287/ijmsit.10.1.2.
EndNote
Kara B, Emeksiz C, Can MS (01 Ağustos 2026) Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions. International Journal of Multidisciplinary Studies and Innovative Technologies 10 1 9–22.
IEEE
[1]B. Kara, C. Emeksiz, ve M. S. Can, “Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions”, IJMSIT, c. 10, sy 1, ss. 9–22, Ağu. 2026, doi: 10.36287/ijmsit.10.1.2.
ISNAD
Kara, Burak - Emeksiz, Cem - Can, Mehmet Serhat. “Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions”. International Journal of Multidisciplinary Studies and Innovative Technologies 10/1 (01 Ağustos 2026): 9-22. https://doi.org/10.36287/ijmsit.10.1.2.
JAMA
1.Kara B, Emeksiz C, Can MS. Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions. IJMSIT. 2026;10:9–22.
MLA
Kara, Burak, vd. “Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions”. International Journal of Multidisciplinary Studies and Innovative Technologies, c. 10, sy 1, Ağustos 2026, ss. 9-22, doi:10.36287/ijmsit.10.1.2.
Vancouver
1.Burak Kara, Cem Emeksiz, Mehmet Serhat Can. Adaptive Control-Based Reconfigurable Boost Converter Architecture for Photovoltaic Power Conversion Under Variable Conditions. IJMSIT. 01 Ağustos 2026;10(1):9-22. doi:10.36287/ijmsit.10.1.2