Application of Radial Basis Neural Network in MPPT Technique for Stand-Alone PV System Under Partial Shading Conditions

References

• P. Sharma and V. Agarwal, “Exact maximum power point tracking of grid-connected partially shaded PV source using current compensation concept,” IEEE Trans. Power Electron., Vol. 29, no. 9, pp. 4684–4692, Sept. 2014. DOI:10.1109/TPEL.2013.2285075.
   Web of Science ®Google Scholar
• M. H. Nehrir, et al., “A review of hybrid renewable/alternative energy systems for electric power generation: Configurations, control, and applications,” IEEE Trans. Sustain. Energy, Vol. 2, no. 4, pp. 392–403, Oct. 2011. DOI:10.1109/TSTE.2011.2157540.
   Web of Science ®Google Scholar
• Free encyclopedia from wikipedia website about ‘Sun’. Available: https://en.wikipedia.org/wiki/Sun.
   Google Scholar
• B. H. Khan, Non-conventional energy resources. Tata New Delhi: McGraw-Hill Education, Jan. 2006.
   Google Scholar
• R. B. Bollipo, S. Mikkili and P. K. Bonthagorla, “Critical review on PV MPPT techniques: Classical, intelligent and optimisation,” IET Renew. Power Gener., Vol. 14, no. 9, pp. 1433–1452, July 2020. DOI:10.1049/rpg2.v14.9.
   Web of Science ®Google Scholar
• Y.-H. Liu, J.-H. Chen and J.-W. Huang, “A review of maximum power point tracking techniques for use in partially shaded conditions,” Renew. Sustain. Energy Rev., Vol. 41, pp. 436–453, Jan. 2015. DOI:10.1016/j.rser.2014.08.038.
   Web of Science ®Google Scholar
• N. Femia, G. Petrone, G. Spagnuolo and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE Trans. Power Electron., Vol. 20, no. 4, pp. 963–973, July 2005. DOI:10.1109/TPEL.2005.850975.
   Web of Science ®Google Scholar
• A. Safari and S. Mekhilef, “Simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter,” IEEE Trans. Ind. Electron., Vol. 58, no. 4, pp. 1154–1161, Apr. 2011. DOI:10.1109/TIE.2010.2048834.
   Web of Science ®Google Scholar
• G. J. Yu, Y. S. Jung, J. Y. Choi and G. S. Kim, “A novel two-mode MPPT control algorithm based on comparative study of existing algorithms,” Sol. Energy, Vol. 76, no. 4, pp. 455–463, Apr. 2004. DOI:10.1016/j.solener.2003.08.038.
   Web of Science ®Google Scholar
• A. El Khateb, N. A. Rahim, J. Selvaraj and M. N. Uddin, “Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking,” IEEE Trans. Ind. Appl., Vol. 50, no. 4, pp. 2349–2358, July-Aug. 2014. DOI:10.1109/TIA.2014.2298558.
   Web of Science ®Google Scholar
• T. Hiyama, S. Kouzuma and T. Imakubo, “Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control,” IEEE Trans. Energy Convers., Vol. 10, no. 2, pp. 360–367, June 1995. DOI:10.1109/60.391904.
   Web of Science ®Google Scholar
• V. P. Goli and S. Das, “A transient current based DG Interconnected transmission system protection scheme using Wavelet analysis,” in IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, USA, 2020, pp. 1–6.
   Google Scholar
• Y. M. Sree, G. R. Kumar, M. Vaidehi and G. V. Priya, “Wavelet approach for transient current based multi terminal transmission system protection scheme in the presence of SVC,” in International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India, 2016, pp. 4134–4140.
   Google Scholar
• Y. M. Sree, R. K. Goli, G. V. Priya and V. Ramaiah, “A four terminal transmission line protection by wavelet approach in the presence of SVC using hybrid generation,” in Innovations in Power and Advanced Computing Technologies (i-PACT), Vellore, India, 2017, pp. 1–6.
   Google Scholar
• T. Kwan and X. F. Wu, “High performance P & O based lock-on mechanism MPPT algorithm with smooth tracking,” Sol. Energy, Vol. 155, pp. 816–828, Oct. 2017. DOI:10.1016/j.solener.2017.07.026.
   Web of Science ®Google Scholar
• B. Subudhi and R. Pradhan, “A comparative study on maximum power point tracking techniques for photovoltaic power systems,” IEEE Trans. Sustain. Energy, Vol. 4, no. 1, pp. 89–98, Jan. 2013. DOI:10.1109/TSTE.2012.2202294.
   Web of Science ®Google Scholar
• A. Kchaou, N. Aziz, K. Yassine and N. M'Sirdi, “Second order sliding mode-based MPPT control for photovoltaic applications,” Sol. Energy, Vol. 155, pp. 758–769, Oct. 2017. DOI:10.1016/j.solener.2017.07.007.
   Web of Science ®Google Scholar
• A. M. Palaniswamy and K. Srinivasan, “Takagi-Sugeno fuzzy approach for power optimization in standalone photovoltaic systems,” Sol. Energy, Vol. 139, pp. 213–220, Dec. 2016. DOI:10.1016/j.solener.2016.09.027.
   Web of Science ®Google Scholar
• R. Balasankar, G. T. Arasu and J. S. Christy Mano Raj, “A global MPPT technique invoking partitioned estimation and strategic deployment of P & O to tackle partial shading conditions,” Sol. Energy, Vol. 143, pp. 73–85, Feb. 2017. DOI:10.1016/j.solener.2016.12.018.
   Web of Science ®Google Scholar
• M. Abdel-Salam, M.-T. El-Mohandes and M. Goda, “An improved perturb-and-observe based MPPT method for PV systems under varying irradiation levels,” Sol. Energy, Vol. 171, pp. 547–561, Sept. 2018. DOI:10.1016/j.solener.2018.06.080.
   Web of Science ®Google Scholar
• K. S. Phani Kiranmai and M. Veerachary, “Maximum power point tracking: A PSPICE circuit simulator approach,” in International Conference on Power Electronics and Drives Systems (PEDS), Kuala Lumpur, 2005, pp. 1072–1077.
   Google Scholar
• M. R. Islam, Y. Guo, J. G. Zhu and M. G. Rabbani, “Simulation of PV array characteristics and fabrication of microcontroller based MPPT,” in 6th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2011, pp. 155–158. DOI:10.1109/ICELCE.2010.5700650.
   Google Scholar
• Y. Chen, et al., “From laboratory to production: Learning models of efficiency and manufacturing cost of industrial crystalline silicon and thin-film photovoltaic technologies,” IEEE J. Photovolt., Vol. 8, no. 6, pp. 1531–1538, Nov. 2018. DOI:10.1109/JPHOTOV.2018.2871858.
   Web of Science ®Google Scholar
• KC200GT High efficiency multi-crystal photovoltaic module data sheet Kyocera. [online]. Available http://www.kyocera.com.sg/products/solar/pdf/kc200gt.pdf.
   Google Scholar
• C. Hua and C. Shen, “Comparative study of peak power tracking techniques for solar storage system,” in Thirteenth Annual Applied Power Electronics Conference and Exposition (APEC), Anaheim, CA, USA, 1998, Vol. 2, pp. 679–685.
   Google Scholar
• P. K. Bonthagorla and S. Mikkili, “Performance investigation of hybrid and conventional PV array configurations for grid- connected/standalone PV systems,” CSEE J. Power Energy Syst.. DOI:10.17775/CSEEJPES.2020.02510.
   Web of Science ®Google Scholar
• P. K. Bonthagorla and S. Mikkili, “Performance analysis of PV array configurations (SP, BL, HC and TT) to enhance maximum power under non-uniform shading conditions,” Eng. Rep., Vol. 2, no. 8, e12214, Aug. 2020. DOI:10.1002/eng2.v2.8.
   Google Scholar
• P. K. Bonthagorla and S. Mikkili, “A novel fixed PV array configuration for harvesting maximum power from shaded modules by reducing the number of cross-ties,” IEEE J. Emerg. Sel. Top. Power. Electron., Vol. 9, no. 2, pp. 2109–2121, Apr. 2021. DOI:10.1109/JESTPE.6245517.
   Web of Science ®Google Scholar
• P. K. Bonthagorla and S. Mikkili, “Optimal PV array configuration for extracting maximum power under partial shading conditions by mitigating mismatching power loss,” CSEE J. Power Energy Syst.. DOI:10.17775/CSEEJPES.2019.02730.
   Web of Science ®Google Scholar
• H. Rezk and A. M. Eltamaly, “A comprehensive comparison of different MPPT techniques for photovoltaic systems,” Sol. Energy, Vol. 112, pp. 1–11, 2015. DOI:10.1016/j.solener.2014.11.010.
   Web of Science ®Google Scholar
• H. Koizumi and K. Kurokawa, “A novel maximum power point tracking method for PV module integrated converter using square root functions,” in 31st Annual Conference of IEEE Industrial Electronics Society (IECON), Raleigh, NC, USA, 2005, pp. 1–6. DOI:10.1109/IECON.2005.1569300.
   Google Scholar
• R. Ayop and C. Tan, “Design of boost converter based on maximum power point resistance for photovoltaic applications,” Sol. Energy, Vol. 160, pp. 322–335, Jan. 2018. DOI:10.1016/j.solener.2017.12.016.
   Web of Science ®Google Scholar
• M. A. G. de Brito, L. Galotto, L. P. Sampaio, G. d. A. e Melo and C. A. Canesin, “Evaluation of the main MPPT techniques for photovoltaic applications,” IEEE Trans. Ind. Electron., Vol. 60, no. 3, pp. 1156–1167, Mar. 2013. DOI:10.1109/TIE.2012.2198036.
   Web of Science ®Google Scholar
• Y. Tao, H. Shu, D. Zhu, Y. Sang and L. Jiang, “Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems,” J. Renew. Sustain. Energy, Vol. 10, no. 4, 043701, 2018. DOI:10.1063/1.5032266.
   Web of Science ®Google Scholar
• G. Hsieh, H. Hsieh, C. Tsai and C. Wang, “Photovoltaic power-increment-aided incremental-conductance MPPT with two-phased tracking,” IEEE Trans. Power Electron., Vol. 28, no. 6, pp. 2895–2911, June 2013. DOI:10.1109/TPEL.2012.2227279.
   Web of Science ®Google Scholar
• M. A. Abido, M. S. Khalid and M. Y. Worku, “An efficient ANFIS-based PI controller for maximum power point tracking of PV systems,” Arab. J. Sci. Eng., Vol. 40, no. 9, pp. 2641–2651, Sept. 2015. DOI:10.1007/s13369-015-1749-z.
   Web of Science ®Google Scholar
• A. B. G. Bahgat, N. H. Helwa, G. Ahmad and E. El Shenawy, “Maximum power point tracking controller for PV systems using neural networks,” Renew. Energy, Vol. 30, pp. 1257–1268, July 2005. DOI:10.1016/j.renene.2004.09.011.
   Web of Science ®Google Scholar
• A. K. Rai, N. D. Kaushika, B. Singha and N. Agarwal, “Simulation model of ANN based maximum power point tracking controller for solar PV system,” Sol. Energy Mater. Sol. Cells, Vol. 95, no. 2, pp. 773–778, Feb. 2011. DOI:10.1016/j.solmat.2010.10.022.
   Web of Science ®Google Scholar
• A. Mellit and A. M. Pavan, “A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy,” Sol. Energy, Vol. 84, no. 5, pp. 807–821, 2010. DOI:10.1016/j.solener.2010.02.006.
   Web of Science ®Google Scholar
• Syafaruddin, E. Karatepe and T. Hiyama, “Artificial neural network-polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions,” IET Renew. Power Gener., Vol. 3, no. 2, pp. 239–253, 2009. DOI:10.1049/iet-rpg:20080065.
   Web of Science ®Google Scholar
• L. S. Sindhura and K. Chaudary, “Artificial neural network implementation for maximum power point tracking of optimized solar panel,” Int. J. Comput. Appl., Vol. 78, pp. 1–6, 2013. DOI:10.5120/13522-1176.
   Google Scholar
• S. Kolsi, H. Samet and M. Ben Amar, “Design analysis of DC-DC converters connected to a photovoltaic generator and controlled by MPPT for optimal energy transfer throughout a clear day,” J. Power Energy Eng., Vol. 2, no. 1, pp. 27–43, Jan. 2014. DOI:10.4236/jpee.2014.21004.
   Google Scholar
• R. B. Bollipo, S. Mikkili and P. K. Bonthagorla, “Hybrid, optimal, intelligent and classical PV MPPT techniques: A review,” CSEE J. Power Energy Syst., Vol. 7, no. 1, pp. 9–33, Jan. 2021. DOI:10.17775/CSEEJPES.2019.02720.
   Web of Science ®Google Scholar
• S. Makhloufi and S. Mekhilef, “Logarithmic PSO based global/local maximum power point tracker for partially shaded photovoltaic systems,” IEEE J. Emerg. Sel. Top. Power. Electron.. DOI:10.1109/JESTPE.2021.3073058.
   Web of Science ®Google Scholar
• H. Deboucha, I. Shams, S. L. Belaid and S. Mekhilef, “A fast GMPPT scheme based on collaborative swarm algorithm for partially shaded photovoltaic system,” IEEE J. Emerg. Sel. Top. Power. Electron.. DOI:10.1109/JESTPE.2021.3071732.
   Web of Science ®Google Scholar
• H. Deboucha, S. Mekhilef, S. L. Belaid and A Guichi, “Modified deterministic Jaya (DM-Jaya)-based MPPT algorithm under partially shaded conditions for PV system,” IET Power Electron.. DOI:10.1049/iet-pel.2020.0736.
   Web of Science ®Google Scholar
• I. Pervez, I. Shams, S. Mekhilef, A. Sarwar, M. Tariq and B. Alamri, “Most valuable player algorithm based maximum power point tracking for a partially shaded PV generation system,” IEEE Trans. Sustain. Energy. DOI:10.1109/TSTE.2021.3069262.
   Web of Science ®Google Scholar