Enhancing the performance of solar boost converter using grey wolf optimizer

• Autorzy: Salih Bashar M. , Hamoodi Ali N. , Momammed Rasha A. , Salih Ali S.

Identyfikatory

DOI

10.29354/diag/190809

• Języki publikacji: EN

Abstrakty

EN

One of the DC-DC conversion systems is boost converters which are used in commonly with solar systems to convert low DC voltage levels to higher ones. This is particularly useful in solar systems because the voltage generated by solar panels can vary widely depending on factors such as the amount of sunlight and the temperature of the panels. The duty cycle of the boost must be controlled to have the maximum output power. Using the Grey Wolf Optimizer to control the duty cycle of a boost converter is one of the ways to have this maximum power. The optimization problem can be stated as minimizing the voltage error of the boost converter output by optimizing the duty cycle. The objective function can be defined as the difference between the desired output voltage and the actual output voltage of the boost converter. The duty cycle can be optimized by adjusting the PWM signal's pulse width that controls the boost converter switch.

Słowa kluczowe

EN

boost converter; solar system; grey wolf optimizer; boost converter-based GWO algorithm; optimization techniques

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2024
• Tom: Vol. 25, No. 3
• Strony: art. no. 2024306
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Salih Bashar M.

• Northern Technical University Technical Engineering College, Department of Electrical Engineering Techniques, Mosul, Iraq

autor

Hamoodi Ali N.

• Northern Technical University Technical Engineering College, Department of Electrical Engineering Techniques, Mosul, Iraq

autor

Momammed Rasha A.

• Northern Technical University Technical Engineering College, Department of Electrical Engineering Techniques, Mosul, Iraq

autor

Salih Ali S.

• Northern Technical University Technical Engineering College, Department of Electrical Engineering Techniques, Mosul, Iraq

Bibliografia

• 1. Pradhan A, Panda B. A Simplified design and modeling of boost converter for photovoltaic sytem. International Journal of Electrical and Computer Engineering 2018; 8: 141-9. https://doi.org/10.11591/ijece.v8i1.pp141-149.
• 2. Babaa SA, El Murr G, Faisal M, Srilatha P. Overview of boost converters for photovoltaic systems. Journal of Power and Energy Engineering 2018; 6: 16-31.
• 3. Donadi AK, Jahnavi WV. Review of DC-DC converters in photovoltaic systems for MPPT systems. International Research Journal of Engineering and Algorithm 2019; 06(06).
• 4. Sinha S, Das S, Bhattacharya A. Grey wolf optimizerbased design and performance analysis of a boost converter. Journal of Intelligent and Fuzzy Systems 2018; 34(1): 71-80.
• 5. Kumar A, Singh R. Design optimization of boost converter using grey wolf optimizer. 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT) 2017; 1-6: 2017.
• 6. Hannan MA, Beg MRA, Alam MS. Design optimization of boost converter using grey wolf optimizer. 2017 IEEE Region 10 Humanitarian Algorithm Conference (R10-HTC) 2017; 1-4: 2017.
• 7. A Ahmed, AHM Zahirul Alam. Design optimization of DC-DC boost converter using grey wolf optimizer. 2018 6th International Conference on Electrical Engineering and Information & Communication Algorithm (ICEEICT) 2018; 1-5: 2018.
• 8. Singh SN, Kumar N. Performance optimization of DCDC boost converter using grey wolf optimizer. 2018 2nd International Conference on Power, Circuit and Information Technologies (ICPCIT) 2018; 218-223: 2018.
• 9. Ren H, Liu Y, Sun Y, Liu Y. Optimal design and control of a photovoltaic system using a boost converter and improved gravitational search algorithm. Applied Energy 2015; 149: 203-211.
• 10. Hassan MM, Mohamed A, Al-Quraishi AM. Optimal design and control of a boost converter for photovoltaic systems using particle swarm optimization. International Journal of Electrical Power & Energy Systems 2015; 72: 39-47.
• 11. Nadimi-Shahraki MH, Taghian S, Mirjalili S. An improved grey wolf optimizer for solving engineering problems. Expert Systems with Applications 2021; 166: 113917. https://doi.org/10.1016/j.eswa.2020.113917.
• 12. Sanei SG, Ebrahimi R, Shayeghi H. Optimal design of a boost converter for solar photovoltaic applications using whale optimization algorithm Solar Energy 2019; 178: 40-54.
• 13. Huang Y, Zhu X, Tse MC. A hybrid algorithm for MPPT of photovoltaic systems using a boost converter. IEEE Transactions on Power Electronics 2017; 32(1): 694-704.
• 14. Li R, Zhang Y, Hu J, Li Y. An improved genetic algorithm based MPPT for photovoltaic power generation system using boost converter. International Journal of Electrical Power & Energy Systems 2013; 53: 107-116.
• 15. Mirjalili S, Mirjalili SM, Lewis A. Grey Wolf Optimizer. Advances in Engineering Software 2014; 69: 46-61. https://doi.org/10.1016/j.advengsoft.2013.12.007.
• 16. Almufti SM, Hawar B. Ahmad, Ridwan B. Marqas, Renas R. Asaad. Grey wolf optimizer: Overview, modifications and applications. 2021. https://doi.org/10.5281/ZENODO.5195644.
• 17. Ghalambaz M, R Jalilzadeh Yengejeh, AH Davami. Building energy optimization using Grey Wolf Optimizer (GWO). Case Studies in Thermal Engineering 2021; 27: 101250. https://doi.org/10.1016/j.csite.2021.101250.
• 18. Aguila-Leon J, Chiñas-Palacios C, Vargas-Salgado C, Hurtado-Perez E, Garcia EXM. Particle swarm optimization, genetic algorithm and Grey Wolf optimizer algorithms performance comparative for a DC-DC boost converter PID controller. Advances in Science, Technology and Engineering Systems Journal 2021; 6(1): 619-25. https://doi.org/10.25046/aj060167.
• 19. Kaveh A, Zakian P. Improved GWO algorithm for optimal design of truss structures. Engineering with Computers 2018; 34(4): 685-707. https://doi.org/10.1007/s00366-017-0567-1.
• 20. Seyyedabbasi A, Kiani F. I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems. Engineering with Computers 2021; 37(1): 509-32. https://doi.org/10.1007/s00366-019-00837-7.