Inter-harmonics Mitigation for PV-based Converters Using INHARE MPPT Algorithm

REFERENCES

• K. Ding, X. Bian, H. Liu, and T. Peng, “A MATLAB-simulink-based PV module model and its application under conditions of nonuniform irradiance,” IEEE Trans. Energy Conv, Vol. 27, no. 4, pp. 864–72, Dec. 2012. DOI: 10.1109/TEC.2012.2216529
   Web of Science ®Google Scholar
• M. Piliougine, R. A. Guejia-Burbano, G. Petrone, F. J. Sánchez-Pacheco, L. Mora-López, and M. Sidrach-de-Cardona, “Parameters extraction of single diode model for degraded photovoltaic modules,” Renew. Energy, Vol. 164, pp. 674–86, Feb. 2021. DOI: 10.1016/j.renene.2020.09.035
   Web of Science ®Google Scholar
• H. Patel and V. Agarwal, “MATLAB-based modeling to study the effects of partial shading on PV array characteristics,” IEEE Trans. Energy Convers, Vol. 23, no. 1, pp. 302–10, Mar. 2008. DOI: 10.1109/TEC.2007.914308
   Web of Science ®Google Scholar
• B. S. S. Ganesh Pardhu, and V. R. Kota, “Radial movement optimization based parameter extraction of double diode model of solar photovoltaic cell,” Sol. Energy, Vol. 213, pp. 312–27, Jan. 2021. DOI: 10.1016/j.solener.2020.11.046
   Web of Science ®Google Scholar
• S. K. Pandey, S. L. Patil, and S. B. Phadke, “Comment on “PWM-based adaptive sliding-mode control for boost DC–DC converters” [Aug 13 3291-3294],” IEEE Trans. Ind. Electron, Vol. 65, no. 6, pp. 5078–80, June 2018. DOI: 10.1109/TIE.2017.2764872
   Web of Science ®Google Scholar
• N. Priyadarshi, M. S. Bhaskar, S. Padmanaban, F. Blaabjerg, and F. Azam, “New CUK–SEPIC converter based photovoltaic power system with hybrid GSA–PSO algorithm employing MPPT for water pumping applications,” IET Power Electron., Vol. 13, no. 13, pp. 2824–30, 2020. DOI: 10.1049/iet-pel.2019.1154
   Web of Science ®Google Scholar
• M. R. Banaei and S. G. Sani, “Analysis and implementation of a new SEPIC-based single-switch buck–boost DC–DC converter with continuous input current,” IEEE Trans. Power Electron., Vol. 33, no. 12, pp. 10317–25, Dec. 2018. DOI: 10.1109/TPEL.2018.2799876
   Web of Science ®Google Scholar
• M. A. Danandeh and G. S. M. Mousavi, “Comparative and comprehensive review of maximum power point tracking methods for PV cells,” Renew. Sustain. Energy Rev., Vol. 82, no. Part 3, pp. 2743–67, Feb. 2018. DOI: 10.1016/j.rser.2017.10.009
   Google Scholar
• M. Mao, L. Cui, Q. Zhang, K. Guo, L. Zhou, and H. Huang, “Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies,” Energy Rep., Vol. 6, pp. 1312–27, Nov. 2020. DOI: 10.1016/j.egyr.2020.05.013
   Web of Science ®Google Scholar
• M. A. G. de Brito, L. Galotto, L. P. Sampaio, G. 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. 1156–67, Mar. 2013. DOI: 10.1109/TIE.2012.2198036
   Web of Science ®Google Scholar
• J. Sahoo, S. Samanta, and S. Bhattacharyya, “Adaptive PID controller with P&O MPPT algorithm for photovoltaic system,” IETE J. Res., Vol. 66, pp. 442–453, 2018.
   Web of Science ®Google Scholar
• H. Abouadane, A. Fakkar, D. Sera, A. Lashab, S. Spataru, and T. Kerekes, “Multiple-Power-Sample based P&O MPPT for fast-changing irradiance conditions for a simple implementation,” IEEE J. Photovoltaics, Vol. 10, no. 5, pp. 1481–8, Sep. 2020. DOI: 10.1109/JPHOTOV.2020.3009781
   Web of Science ®Google Scholar
• S.-C. Wang, H.-Y. Pai, G.-J. Chen, and Y.-H. Liu, “A fast and efficient maximum power tracking combining simplified state estimation with adaptive perturb and observe,” IEEE Access, Vol. 8, pp. 155319–155328, 2020.
   Web of Science ®Google Scholar
• J. Kivimaki, S. Kolesnik, M. Sitbon, T. Suntio, and A. Kuperman, “Design guidelines for multiloop perturbative maximum power point tracking algorithms,” IEEE Trans. Power Electron., Vol. 33, no. 2, pp. 1284–93, Feb. 2018. DOI: 10.1109/TPEL.2017.2683268
   Web of Science ®Google Scholar
• M. Killi and S. Samanta, “Modified perturb and observe MPPT algorithm for drift avoidance in photovoltaic systems,” IEEE Tans. Ind. Electron, Vol. 62, no. 9, pp. 5549–5559, Sep. 2015.
   Web of Science ®Google Scholar
• V. Jately, S. Bhattacharya, B. Azzopardi, A. Montgareuil, J. Joshi, and S. Arora, “Voltage and current reference based MPPT under rapidly changing irradiance and load resistance,” IEEE Trans. Energy Conv., Vol. 36, no. 3, pp. 2297–2309, Sept. 2021. DOI: 10.1109/TEC.2021.3058454
   Web of Science ®Google Scholar
• L. Shengqing, L. Fujun, Z. Jian, C. Wen, and Z. Donghui, “An improved MPPT control strategy based on incremental conductance method,” Soft. Comput., Vol. 24, pp. 6039–46, 2020. DOI: 10.1007/s00500-020-04723-z
   Web of Science ®Google Scholar
• M. Lasheen, A. K. Abdel Rahman, M. Abdel-Salam, and S. Ookawara, “Adaptive reference voltage-based MPPT technique for PV applications,” IET Renew. Power Gener., Vol. 11, no. 5, pp. 715–22, 2017. DOI: 10.1049/iet-rpg.2016.0749
   Web of Science ®Google Scholar
• Y.-P. Yang and M.-T. Peng, “A surface-mounted permanent-magnet motor with sinusoidal pulsewidth-modulation-shaped magnets,” IEEE Trans. Magnetics, Vol. 55, no. 1, pp. 1–8, Jan. 2019.
   Web of Science ®Google Scholar
• H. Yu, B. Chen, W. Yao, and Z. Lu, “Hybrid seven-level converter based on T-type converter and H-bridge cascaded under SPWM and SVM,” IEEE Trans. Power Electron., Vol. 33, pp. 689–702, Jan. 2018.
   Web of Science ®Google Scholar
• A. T. Nguyen, S.-W. Ryu, A. U. Rehman, H. H. Choi, and J.-W. Jung, “Improved continuous control set model predictive control for three-phase CVCF inverters: Fuzzy logic approach,” IEEE. Access., Vol. 9, pp. 75158–75168, 2021.
   Web of Science ®Google Scholar
• M. Bhunia, B. Subudhi, and P. K. Ray, “Design and real-time implementation of cascaded model reference adaptive controllers for a three-phase grid-connected PV system,” IEEE J. Photovoltaics, Vol. 11, no. 5, pp. 1319–31, Sep. 2021. DOI: 10.1109/JPHOTOV.2021.3093047
   Web of Science ®Google Scholar
• V. Ravindran, S. K. Rönnberg, and M. H. J. Bollen, “Interharmonics in PV systems: A review of analysis and estimation methods; considerations for selection of an apt method,” IET Renew. Power Gener, Vol. 13, no. 12, pp. 2023–32, 2019. DOI: 10.1049/iet-rpg.2018.5697
   Web of Science ®Google Scholar
• Y. Yang, K. Zhou, and F. Blaabjerg, “Current harmonics from single-phase grid-connected inverters—Examination and suppression,” IEEE J. Emerg. Sel. Top. Power Electron., Vol. 4, no. 1, pp. 221–33, Mar. 2016. DOI: 10.1109/JESTPE.2015.2504845
   Web of Science ®Google Scholar
• A. Sangwongwonich, Y. Yang, D. Sera, H. Soltni, and F. Blaabjerg, “Analysis and modelling of interharmonics from grid-connected photovoltaic systems,” IEEE Trans. Power Electron., Vol. 99, pp. 8353–8364, 2017.
   Google Scholar
• A. Sangwongwonich, Y. Yang, D. Sera, H. Soltni, and F. Blaabjerg, “Interharmonics from grid connected PV systems: Mechanism and Mitigation,” IEEE 3rd international future energy electronics conference and ECCE Asia (IFEEC 2017-ECCE).
   Google Scholar
• A. Sangwongwanich and F. Blaabjerg, “Mitigation of interharmonics in PV systems with maximum power point tracking modification,” IEEE Trans. Power Electron., Vol. 34, no. 9, pp. 8279–82, 2019. DOI: 10.1109/TPEL.2019.2902880
   Web of Science ®Google Scholar
• A. Mostefa, H. M. Boulouiha, A. Allali, and M. Denai, “Mitigation of harmonics and inter-harmonics with LVRT and HVRT enhancement in grid-connected wind energy systems using genetic algorithm-optimized PWM and fuzzy adaptive PID control,” J. Renew. Sustain. Energy, Vol. 13, no. 2, p. 026302, 2021. DOI: 10.1063/5.0015579
   Web of Science ®Google Scholar
• S. Ahmad, I. Khan, A. Iqbal, and S. Rahman, “A novel pulse width amplitude modulation for elimination of multiple harmonics in asymmetrical multilevel inverter,” In 2021 IEEE Texas Power and Energy Conference (TPEC), pp. 1–6. IEEE, 2021.
   Google Scholar
• N. Kumar, B. Singh, J. Wang, and B. K. Panigrahi, “A framework of L-HC and AM-MKF for accurate harmonic supportive control schemes,” IEEE Trans. Circuits and Systems–I: regular papers, 2020.
   Google Scholar
• N. Kumar, B. Singh, and B. K. Panigrahi, “Integration of solar PV with low-voltage weak grid system: Using maximize-M Kalman filter and self-tuned P&O algorithm,” IEEE Trans. Ind. Electron., Vol. 66, pp. 9013–9022, 2018.
   Web of Science ®Google Scholar
• N. Kumar, B. Singh, B. K. Panigrahi, and L. Xu, “Leaky least logarithmic absolute difference based control algorithm and learning based InC MPPT technique for grid integrated PV system,” IEEE Trans. Ind. Electron., Vol. 66, pp. 9003–9012, 2018.
   Web of Science ®Google Scholar
• N. Kumar, B. Singh, B. K. Panigrahi, C. Chakraborty, H. M. Suryawanshi, V. Verma, “Integration of solar PV with low-voltage weak grid system: Using normalized Laplacian Kernel adaptive Kalman filter and learning based InC algorithm,” IEEE Trans. Power Electron., Vol. 34, pp. 10746–10758, 2019.
   Web of Science ®Google Scholar
• N. Kumar, B. Singh, and B. K. Panigrahi, “LLMLF based control approach and LPO MPPT technique for improving performance of a multifunctional three-phase two-stage grid integrated PV system,” IEEE Trans. Sustain. Energy, Vol. 11, pp. 371–380, 2019.
   Web of Science ®Google Scholar
• D. Fares, M. Fathi, I. Shams, and S. Mekhilef, “A novel global MPPT technique based on squirrel search algorithm for PV module under partial shading conditions,” Energy Convers. Manage., Vol. 230, p. 113773, 2021. DOI: 10.1016/j.enconman.2020.113773
   Web of Science ®Google Scholar
• K. S. Tey, S. Mekhilef, M. Seyedmahmoudian, B. Horan, A. T. Oo, and A. Stojcevski, “Improved differential evolution-based MPPT algorithm using SEPIC for PV systems under partial shading conditions and load variation,” IEEE Trans. Ind. Inf., Vol. 14, pp. 4322–4333, 2018.
   Web of Science ®Google Scholar
• I. Shams, S. Mekhilef, and K. S. Tey, “Maximum power point tracking using modified butterfly optimization algorithm for partial shading, uniform shading and fast varying load conditions,” IEEE Trans. Power Electron., Vol. 36, pp. 5569–5581, 2020.
   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, Vol. 12, no. 4, pp. 1876–90, Oct. 2021. DOI: 10.1109/TSTE.2021.3069262
   Web of Science ®Google Scholar
• A. Sangwongwonich, Y. Yang, and F. Blaabjerg, “Sensorless power reserve control strategy for two-stage grid-connected PV systems,” IEEE Trans. Power Electron., Vol. 99, pp. 8559–8569, 2017.
   Google Scholar
• M. Matsui, T. Kitano, D.-h. Xu, and Z.-q. Yang, “A new maximum photovoltaic power tracking control scheme based on power equilibrium at DC link,” in Conf. Record 1999 IEEE Ind. Appl. Conf., 1999, pp. 804–9.
   Google Scholar
• D. A. Elvira-Ortiz, D. Morinigo-Sotelo, O. Duque-Perez, R. A. Osornio-Rios, and R. J. Romero-Troncoso, “Study of the harmonic and interharmonic content in electrical signals from photovoltaic generation and their relationship with environmental factors,” J. Renew. Sustain. Energy, Vol. 11, p. 043502, 2019. DOI: 10.1063/1.5094038.
   Web of Science ®Google Scholar
• B. S. Varun Sai, S. A. Khadtare, and D. Chatterjee, “An improved maximum power point tracking scheme without memory unit,” International Conference on Renewable Energy Integration into Smart Grids: A Multidisciplinary Approach to Technology Modelling and Simulation (ICREISG), 2020, pp. 68–72. DOI: 10.1109/ICREISG49226.2020.9174434
   Google Scholar