A New FL-MPPT High Voltage DC-DC Converter for PV Solar Application

Authors

  • Tole Sutikno 1)Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, 2)Embedded Systems & Power Electronics Research Group, Yogyakarta, Indonesia
  • Arsyad Cahya Subrata 1)Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, 2)Embedded Systems & Power Electronics Research Group, Yogyakarta, Indonesia
  • Awang Jusoh Department of Electrical Power Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

DOI:

https://doi.org/10.13052/dgaej2156-3306.37510

Keywords:

Fuzzy logic, maximum power point tracking, DC-DC converter, photovoltaic, power converter, perturb and observe algorithm, renewable energy

Abstract

To reduce the effects of global warming, there is an increasing need for renewable energy sources. Several studies have been carried out on photovoltaic (PV) systems to maximize their potential as an alternative electricity generator. However, various power converters for high voltage ratio applications have multiple drawbacks. This research was carried out to develop a power converter topology connected between the PV and the load for the need. In this research, the high step-up DC-DC converter for high-voltage gain conversion ratio and high efficiency is proposed. Furthermore, the fuzzy logic-based Maximum Power Point Tracking (MPPT) technique connected to the power converter was used to maximize the power converted from PV in changing atmospheric conditions. The MPPT control with fuzzy logic controller (FLC) was analysed and compared with the perturb and observe (P&O) algorithm. The results showed that the FLC algorithm could control the high step-up (HSU) DC-DC converter with an output voltage of 29% higher than the P&O algorithm.

Author Biographies

Tole Sutikno, 1)Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, 2)Embedded Systems & Power Electronics Research Group, Yogyakarta, Indonesia

Tole Sutikno received the B.Eng. degree from Universitas Diponegoro, in 1999, the M.Eng. degree from Universitas Gadjah Mada, in 2004, and the Ph.D. degree from Universiti Teknologi Malaysia, in 2016, all in electrical engineering. He has been an Associate Professor with Universitas Ahmad Dahlan (UAD), Yogyakarta, Indonesia, since 2008. He is currently a Lecturer with the Electrical Engineering Department, UAD. He has been the Editor-in-Chief of the TELKOMNIKA, since 2005, and the Leader of the Embedded Systems and Power Electronics Research Group, since 2016. His current research interests include digital design, industrial applications, industrial electronics, industrial informatics, power electronics, motor drives, renewable energy, FPGA applications, embedded systems, artificial intelligence, intelligent control, internet of things and digital technologies.

Arsyad Cahya Subrata, 1)Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, 2)Embedded Systems & Power Electronics Research Group, Yogyakarta, Indonesia

Arsyad Cahya Subrata received B. Eng. and M.Eng. in electrical engineering from Universitas Ahmad Dahlan, Indonesia and Universitas Diponegoro, Indonesia in 2016 and 2020. Currently, he is a member of the Embedded Systems and Power Electronics Research Group (ESPERG) research team since 2018 and has been a Lecturer with the Electrical Engineering Department, Universitas Ahmad Dahlan (UAD) Indonesia since 2021. His research interests include power electronics, energy development renewables, robotics, artificial intelligence, control instrumentation, intelligent control, and internet of things.

Awang Jusoh, Department of Electrical Power Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

Awang Jusoh received B.Eng. in electrical and electronic engineering from Brighton Polytechnic, the UK, in 1985, the M.Sc. and Ph.D. degree in power electronics and electrical engineering from the University of Birmingham, the UK, in 1995 and 2004. He is an Associate Professor with the Department of Electrical Power Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia. His current research interests include power electronics, energy conversion, and renewable energy.

References

D. Yousri, T. S. Babu, D. Allam, V. K. Ramachandaramurthy, and M. B. Etiba, “A Novel Chaotic Flower Pollination Algorithm for Global Maximum Power Point Tracking for Photovoltaic System Under Partial Shading Conditions,” IEEE Access, vol. 7, pp. 121432–121445, 2019.

A. Jusoh, R. Alik, T. K. Guan, and T. Sutikno, “MPPT for PV system based on variable step size p&o algorithm,” Telkomnika, vol. 15, no. 1, p. 79, 2017.

N. Kacimi, S. Grouni, A. Idir, and M. S. Boucherit, “New improved hybrid MPPT based on neural network-model predictive control-Kalman filter for photovoltaic system,” Indones. J. Electr. Eng. Comput. Sci., vol. 20, no. 3, 2020.

K. L. Shenoy, C. G. Nayak, and R. P. Mandi, “Effect of partial shading in grid connected solar pv system with fl controller,” Int. J. Power Electron. Drive Syst., vol. 12, no. 1, pp. 431–440, 2021.

L. Farah, A. Haddouche, and A. Haddouche, “Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system,” Int. J. Power Electron. Drive Syst., vol. 11, no. 2, p. 1065, 2020.

S. Ozdemir, N. Altin, and I. Sefa, “Fuzzy logic based MPPT controller for high conversion ratio quadratic boost converter,” Int. J. Hydrogen Energy, vol. 42, no. 28, pp. 17748–17759, 2017.

R. Palanisamy, K. Vijayakumar, V. Venkatachalam, R. M. Narayanan, D. Saravanakumar, and K. Saravanan, “Simulation of various DC-DC converters for photovoltaic system,” Int. J. Electr. Comput. Eng., vol. 9, no. 2, p. 917, 2019.

B. Chandrasekar et al., “Non-Isolated High-Gain Triple Port DC–DC Buck-Boost Converter With Positive Output Voltage for Photovoltaic Applications,” IEEE Access, vol. 8, pp. 113649–113666, 2020.

A. Pradhan and B. Panda, “A simplified design and modeling of boost converter for photovoltaic sytem,” Int. J. Electr. Comput. Eng., vol. 8, no. 1, p. 141, 2018.

A. C. Subrata, T. Sutikno, S. Padmanaban, and H. S. Purnama, “Maximum power point tracking in pv arrays with high gain Dc-Dc boost converter,” in International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2019.

R. Afzal, Y. Tang, H. Tong, and Y. Guo, “A High Step-up Integrated Coupled Inductor-Capacitor DC-DC Converter,” IEEE Access, vol. 9, pp. 11080–11090, 2021.

R. Ebrahimi, H. M. Kojabadi, L. Chang, and F. Blaabjerg, “Coupled-inductor-based high step-up DC–DC converter,” IET Power Electron., vol. 12, no. 12, pp. 3093–3104, 2019.

S. Lee and H. Do, “High Step-Up Coupled-Inductor Cascade Boost DC–DC Converter With Lossless Passive Snubber,” IEEE Trans. Ind. Electron., vol. 65, no. 10, pp. 7753–7761, 2018.

S. S. Dobakhshari, J. Milimonfared, M. Taheri, and H. Moradisizkoohi, “A Quasi-Resonant Current-Fed Converter With Minimum Switching Losses,” IEEE Trans. Power Electron., vol. 32, no. 1, pp. 353–362, 2017.

D. Sha, T. Sun, and J. Zhang, “Varying Switching Frequency Control for Current-Fed Dual-Active Bridge DC–DC Converter With Constant Flux Density Change for Transformers,” IEEE Trans. Power Electron., vol. 35, no. 4, pp. 3766–3777, 2020.

A. Ajami, H. Ardi, and A. Farakhor, “A Novel High Step-up DC/DC Converter Based on Integrating Coupled Inductor and Switched-Capacitor Techniques for Renewable Energy Applications,” IEEE Trans. Power Electron., vol. 30, no. 8, pp. 4255–4263, 2015.

H. Li, C. Liu, X. Zhang, Z. Guo, and T. Q. Zheng, “Stability Analysis for Two-Stage Cascaded DC-DC Converters System Based on Describing Function Method,” in 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018, pp. 4141–4147.

Y. Wang, Y. Qiu, Q. Bian, Y. Guan, and D. Xu, “A Single Switch Quadratic Boost High Step Up DC–DC Converter,” IEEE Trans. Ind. Electron., vol. 66, no. 6, pp. 4387–4397, 2019.

S. Lee and H. Do, “Quadratic Boost DC–DC Converter With High Voltage Gain and Reduced Voltage Stresses,” IEEE Trans. Power Electron., vol. 34, no. 3, pp. 2397–2404, 2019.

P. A. Dahono, “New step-up DC-DC converters for PV power generation systems,” in 2017 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2017, pp. 187–192.

M. A. Green, “Silicon photovoltaic modules: a brief history of the first 50 years,” Prog. Photovoltaics Res. Appl., vol. 13, no. 5, pp. 447–455, 2005.

A. K. Panchal, “I–V Data Operated High-Quality Photovoltaic Solution Through Per-Unit Single-Diode Model,” IEEE J. Photovoltaics, vol. 10, no. 4, pp. 1175–1184, 2020.

I. A. Ibrahim, M. J. Hossain, B. C. Duck, and C. J. Fell, “An Adaptive Wind-Driven Optimization Algorithm for Extracting the Parameters of a Single-Diode PV Cell Model,” IEEE Trans. Sustain. Energy, vol. 11, no. 2, pp. 1054–1066, 2020.

H. K. Mehta, H. Warke, K. Kukadiya, and A. K. Panchal, “Accurate Expressions for Single-Diode-Model Solar Cell Parameterization,” IEEE J. Photovoltaics, vol. 9, no. 3, pp. 803–810, 2019.

F. Bradaschia, M. C. Cavalcanti, A. J. do Nascimento, E. A. da Silva, and G. M. de S. Azevedo, “Parameter Identification for PV Modules Based on an Environment-Dependent Double-Diode Model,” IEEE J. Photovoltaics, vol. 9, no. 5, pp. 1388–1397, 2019.

S. Kumar, H. S. Sahu, and S. K. Nayak, “Estimation of MPP of a Double Diode Model PV Module From Explicit I–V Characteristic,” IEEE Trans. Ind. Electron., vol. 66, no. 9, pp. 7032–7042, 2019.

Z. Mao, Z. Sunan, M. Peng, S. Yanlong, and Z. Weiping, “Modelling of PV module and its application for partial shading analysis – part I: model and parameter estimation of PV module,” J. Eng., vol. 2017, no. 13, pp. 1295–1298, 2017.

T. Kamal, M. Karabacak, S. Z. Hassan, H. Li, and L. M. Fernández-Ramírez, “A Robust Online Adaptive B-Spline MPPT Control of Three-Phase Grid-Coupled Photovoltaic Systems Under Real Partial Shading Condition,” IEEE Trans. Energy Convers., vol. 34, no. 1, pp. 202–210, 2019.

A. S. Samosir and H. Gusmedi, “Modeling and simulation of fuzzy logic based maximum power point tracking (MPPT) for PV application,” Int. J. Electr. Comput. Eng., 2017.

R. Ahmad, A. F. Murtaza, and H. A. Sher, “Power tracking techniques for efficient operation of photovoltaic array in solar applications–A review,” Renew. Sustain. Energy Rev., vol. 101, pp. 82–102, 2019.

M. A. Elgendy, B. Zahawi, and D. J. Atkinson, “Operating Characteristics of the P&O Algorithm at High Perturbation Frequencies for Standalone PV Systems,” IEEE Trans. Energy Convers., vol. 30, no. 1, pp. 189–198, 2015.

B. Subudhi and R. Pradhan, “Adaptive predictive error filter-based maximum power point tracking algorithm for a photovoltaic system,” J. Eng., vol. 2016, no. 4, pp. 54–61, 2016.

A. Hussain, H. A. Sher, A. F. Murtaza, and K. Al-Haddad, “Improved Restricted Control Set Model Predictive Control (iRCS-MPC) Based Maximum Power Point Tracking of Photovoltaic Module,” IEEE Access, vol. 7, pp. 149422–149432, 2019.

H. Rezk, M. Aly, M. Al-Dhaifallah, and M. Shoyama, “Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications,” IEEE Access, vol. 7, pp. 106427–106438, 2019.

D. N. Luta and A. K. Raji, “Comparing fuzzy rule-based MPPT techniques for fuel cell stack applications,” Energy Procedia, vol. 156, pp. 177–182, 2019.

S. Assahout, H. Elaissaoui, A. El Ougli, B. Tidhaf, and H. Zrouri, “A neural network and fuzzy logic based MPPT algorithm for photovoltaic pumping system,” Int. J. Power Electron. Drive Syst., vol. 9, no. 4, pp. 1823–1833, 2018.

K. Y. Yap, C. R. Sarimuthu, and J. M.-Y. Lim, “Artificial Intelligence Based MPPT Techniques for Solar Power System: A review,” J. Mod. Power Syst. Clean Energy, vol. 8, no. 6, pp. 1043–1059, 2020.

H. A. Attia and F. delAma Gonzalo, “Stand-alone PV system with MPPT function based on fuzzy logic control for remote building applications,” Int J Pow Elec Dri Syst ISSN, vol. 2088, no. 8694, p. 8694, 2019.

Published

2022-07-01

How to Cite

Sutikno, T. ., Subrata, A. C. ., & Jusoh, A. . (2022). A New FL-MPPT High Voltage DC-DC Converter for PV Solar Application. Distributed Generation &Amp; Alternative Energy Journal, 37(05), 1527–1548. https://doi.org/10.13052/dgaej2156-3306.37510

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