Year 2021, Volume 5 , Issue 1, Pages 21 - 29 2021-01-01

IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM

Ö. Fatih KEÇECİOĞLU [1] , Ahmet GANİ [2] , Mustafa ŞEKKELİ [3]


The photovoltaic (PV) systems provide a low power conversion efficiency. PV systems benefit from maximum power point tracking (MPPT) control methods to maximize available power from PV panels and efficiency. The present study proposes an improved hybrid intelligent controller design for the MPPT of stand-alone PV system. The hybrid intelligent control structure is integrated into Angle of Incremental Conductance (AIC) method and Interval Type-2 Takagi Sugeno Kang Fuzzy Logic Controller (IT2-TSKFLC). The proposed hybrid intelligent controller offers a superior performance in terms of dealing with uncertainties of sudden changes under different environment conditions. A simulation model is created in Matlab/Simulink using daily data from a real solar PV plant to evaluate the performance of the proposed hybrid intelligent controller. The simulation findings demonstrated that the proposed hybrid intelligent controller displays a highly stable and robust performance in terms of tracking maximum power point compared to a conventional AIC MPPT method against various uncertainties stemming from disturbance inputs such as solar irradiance and panel temperature variations.
Hybrid Intelligent Controller, , MPPT
  • Acikgoz, H., Kumar, A., Beiranvand, H. and Sekkeli, M. (2019). “Hardware implementation of type 2 neuro fuzzy controller based direct power control for three phase active front end rectifiers.” Int. Trans. Electr. Energ. Syst, vol.12, No.4, pp.693-702.
  • Coteli, R., Acikgoz, H., Ucar, F. and Dandil, B. (2017). “Design and implementation of Type-2 fuzzy neural system controller for PWM rectifiers.” Int J Hydrogen Energy, Vol.42 No.32, pp. 20759-20771.
  • Dixit, T.V., Yadav, A. and Gupta, S. (2018) “Experimental assessment of maximum power extraction from solar panel with different converter topologies.” Int. Trans. Electr. Energ. Syst, Vol.29, No.2, pp.1-33.
  • Dogmus, O., Kilic, E., Sit, S. and Gunes, M. (2017) “Adaptation of Optimized PID Controller with PSO Algorithm to Photovoltaic MPPT System.” Kahramanmaraş Sütçü İmam University Journal of Engineering Sciences, 2017, Vol. 20, No. 4, pp. 1–8.
  • Karnik, N.N., Mendel, J.M. and Liang, Q. (1999). “Type-2 fuzzy logic systems.” IEEE Trans Fuzzy Syst, Vol.7, No.6, pp. 643–658.
  • Kececioglu, O.F., Acikgoz, H. and Gani, A. (2018). “Fuzzy - PI Based MPPT Control for Photovoltaic Systems.” Proc. Innovations in Intelligent Systems and Applications Conference, Adana, Turkey, pp.1-4.
  • Kececioglu, O.F. (2019). “Robust control of high gain DC-DC converter using Type-2 fuzzy neural network controller for MPPT.” J. Intell. Fuzzy Syst., Vol.37, No.1, pp.941-651.
  • Kumbasar, T., (2016). “Robust stability analysis and systematic design of single input interval type 2 fuzzy logic controllers.” IEEE Trans. Fuzzy Syst, Vol.24, No.3, pp.675–694. Luo, F.L., (1997). “Luo-converters, a series of new DC-DC step-up (boost) conversion circuits.” Proc. Second International Conference on Power Electronics and Drive Systems, pp.882-888.
  • Mendel, J.M., John, R.I.B. (2002).“Type-2 fuzzy sets made simple.” IEEE Trans. Fuzzy Syst. Vol.10, No.2, pp.117-127.
  • Ozdemir, S., Altin, N. and Sefa, I. (2017). “Fuzzy logic based MPPT controller for high conversion ratio quadratic boost converter.” Int J Hydrogen Energy, Vol.42, No.38, pp.17748-17759.
  • Pansare, C., Sharma, S.K., Jain, C., and Saxena, R., (2017). “Analysis of a modified positive output Luo converter and its application to solar PV system.” Proc. IEEE Industry Applications Society Annual Meeting, pp.1–6.
  • Radjai, T., Gaubert, J.P., Rahmani L. and Mekhilef, S.,(2015). “Experimental verification of P&O MPPT algorithm with direct control based on fuzzy logic control using CUK converter.” Int. Trans. Electr. Energ. Syst, Vol.25, No.12, pp.3492–3508.
  • Soon, T.K., Mekhilef, S. (2015). “A fast-converging MPPT technique for photovoltaic system under fast-varying solar irradiation and load resistance.” IEEE Trans Ind. Informat., Vol.11, No.1, pp.176-186.
  • Tai, K., El-Sayed, A.R., Biglarbegian, M., Gonzalez, C.I., Castillo, O., Mahmud, S. (2016). “Review of recent type-2 fuzzy controller applications, Algorithms.” Vol.9, No.2, pp.1-19.
Primary Language en
Subjects Engineering
Journal Section Articles
Authors

Orcid: 0000-0001-7004-4947
Author: Ö. Fatih KEÇECİOĞLU
Institution: KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ
Country: Turkey


Orcid: 0000-0002-6487-6066
Author: Ahmet GANİ (Primary Author)
Institution: Kahramanmaraş Sütçü İmam Üniversitesi
Country: Turkey


Orcid: 0000-0002-1641-3243
Author: Mustafa ŞEKKELİ
Institution: KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ
Country: Turkey


Supporting Institution Kahramanmaraş Sütçü İmam Üniversitesi, Bilimsel Araştırma Projeleri Birimi
Project Number 2018/5-11 D
Dates

Publication Date : January 1, 2021

Bibtex @research article { tuje652229, journal = {Turkish Journal of Engineering}, issn = {}, eissn = {2587-1366}, address = {Mersin Üniversitesi Mühendislik Fakültesi Çiftlikköy Kampüsü 33343, MERSİN}, publisher = {Murat YAKAR}, year = {2021}, volume = {5}, pages = {21 - 29}, doi = {10.31127/tuje.652229}, title = {IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM}, key = {cite}, author = {Keçeci̇oğlu, Ö. Fatih and Gani̇, Ahmet and Şekkeli̇, Mustafa} }
APA Keçeci̇oğlu, Ö , Gani̇, A , Şekkeli̇, M . (2021). IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM . Turkish Journal of Engineering , 5 (1) , 21-29 . DOI: 10.31127/tuje.652229
MLA Keçeci̇oğlu, Ö , Gani̇, A , Şekkeli̇, M . "IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM" . Turkish Journal of Engineering 5 (2021 ): 21-29 <https://dergipark.org.tr/en/pub/tuje/issue/54221/652229>
Chicago Keçeci̇oğlu, Ö , Gani̇, A , Şekkeli̇, M . "IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM". Turkish Journal of Engineering 5 (2021 ): 21-29
RIS TY - JOUR T1 - IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM AU - Ö. Fatih Keçeci̇oğlu , Ahmet Gani̇ , Mustafa Şekkeli̇ Y1 - 2021 PY - 2021 N1 - doi: 10.31127/tuje.652229 DO - 10.31127/tuje.652229 T2 - Turkish Journal of Engineering JF - Journal JO - JOR SP - 21 EP - 29 VL - 5 IS - 1 SN - -2587-1366 M3 - doi: 10.31127/tuje.652229 UR - https://doi.org/10.31127/tuje.652229 Y2 - 2020 ER -
EndNote %0 Turkish Journal of Engineering IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM %A Ö. Fatih Keçeci̇oğlu , Ahmet Gani̇ , Mustafa Şekkeli̇ %T IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM %D 2021 %J Turkish Journal of Engineering %P -2587-1366 %V 5 %N 1 %R doi: 10.31127/tuje.652229 %U 10.31127/tuje.652229
ISNAD Keçeci̇oğlu, Ö. Fatih , Gani̇, Ahmet , Şekkeli̇, Mustafa . "IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM". Turkish Journal of Engineering 5 / 1 (January 2021): 21-29 . https://doi.org/10.31127/tuje.652229
AMA Keçeci̇oğlu Ö , Gani̇ A , Şekkeli̇ M . IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM. TUJE. 2021; 5(1): 21-29.
Vancouver Keçeci̇oğlu Ö , Gani̇ A , Şekkeli̇ M . IMPROVED HYBRID INTELLIGENT CONTROLLER DESIGN FOR MPPT OF STAND-ALONE PV SYSTEM. Turkish Journal of Engineering. 2021; 5(1): 21-29.