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PFoPID CONTROL DESIGN OF GRID-CONNECTED PV INVERTER FOR MPPT USING HYBRID ALGORITHM
Thomas Thangam and K. Muthuvel
References
[1] B. Yang, T. Yu, H. Shu, D. Zhu and L. Jiang, Energy reshaping based passive fractional-order PID control design and implementation of a grid-connected PV inverter for MPPT using grouped grey wolf optimizer, 170, 2018, 31-46.
[2] M. Al-Dhaifallah, A.M. Nassef, H. Rezk and K.S. Nisar, Optimal parameter design of fractional order control based INC-MPPT for PV system, 159, 2018, 650-664.
[3] Y.-Y. Hong, A.A. Beltran and A.C. Paglinawan, A robust design of maximum power point tracking using Taguchi method for stand-alone PV system, 211, 2018, 50-63.
[4] P. Kofinas, S. Doltsinis, A.I. Dounis and G.A. Vouros, A reinforcement learning approach for MPPT control method of photovoltaic sources, 108, 2017, 461-473.
[5] A. Elrayyah, Y. Sozer and M. Elbuluk, Microgrid-connected PV-based sources: A novel autonomous control method for maintaining maximum power, 21, 2015, 19-29.
[6] Y.-T. Chen, Y.-C. Jhang and R.-H. Liang, A fuzzy-logic based auto-scaling variable step-size MPPT method for PV systems, 126, 2016, 53-63.
[7] H. Yatimi and E. Aroudam, Assessment and control of a photovoltaic energy storage system based on the robust sliding mode MPPT controller, 139, 2016, 557-568.
[8] S. Saravanan and N.R. Babu, RBFN based MPPT algorithm for PV system with high step up converter, 122, 2016, 239-251.
[9] Md. F. Ansari, S. Chatterji and A. Iqbal, A fuzzy logic control scheme for a solar photovoltaic system for a maximum power point tracker, 29, 2010, 245-255.
[10] C.Y. Yang, C.Y. Hsieh, F.K. Feng and K.H. Chen, Highly Efficient Analog Maximum Power Point Tracking (AMPPT) in a photovoltaic system, 59, 2012, 1546-1556.
[11] A.K. Abdelsalam, A.M. Massoud, S. Ahmed and P.N. Enjeti, High-performance adaptive perturb and observe MPPT technique for photovoltaic-based MGs, 26, 2011, 1010-1021.
[12] T.F. Wu, C.H. Chang, L.C. Lin and C.L. Kuo, Power loss comparison of singleand two-stage grid-connected photovoltaic systems, 26, 2011, 707-715.
[13] A.H. El Khateb, N. A. Rahim and J. Selvaraj, Type-2 fuzzy logic approach of a maximum power point tracking employing SEPIC converter for photovoltaic system, 1, 2013.
[14] M. Seyedmahmoudian, Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method, 6, 2015, 850-862.
[15] B. N. Alajmi, K. H. Ahmed, S. J. Finney and B. W. Williams, Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in MG standalone photovoltaic system, 26, 2011, 1022-1030.
[16] M. Mohammadi and M. Nafar, Fuzzy sliding-mode based control (FSMC) approach of hybrid micro-grid in power distribution systems, 51, 2013, 232-242.
[17] A.I. Dounis, P. Kofinas, G. Papadakis and C. Alafodimos, A direct adaptive neural control for maximum power point tracking of photovoltaic system, 115, 2015, 145-165.
[18] S. Li, A variable-weather-parameter MPPT control strategy based on MPPT constraint conditions of PV system with inverter, 197, 2019, 111873.
[19] S.L. Brunton, C.W. Rowley, S.R. Kulkarni and C. Clarkson, Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control, 25, 2010, 2531-2540.
[20] Y. Du, D.D.-C. Lu, G. James and D.J. Cornforth, Modeling and analysis of current harmonic distortion from grid connected PV inverters under different operating conditions, 94, 2013, 182-194.
[21] B. Boukezata, J.-P. Gaubert, A. Chaoui and M. Hachemi, Predictive current control in multifunctional grid connected inverter interfaced by PV system, 139, 2016, 130-141.
[22] G.J. Kish, J.J. Lee and P.W. Lehn, Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking, 6, 2012, 259-266.
[23] S. Jiang, D. Cao, Y. Li and F.Z. Peng, Grid-connected boost-half-bridge photovoltaic microinverter system using repetitive current control and maximum power point tracking, 27, 2012, 4711-4722.
[24] I. Fister, I. Fister, X.-S. Yang and J. Brest, A comprehensive review of firefly algorithms, 13, 2013, 34-46.
[25] S.-C. Chu, P.-w. Tsai and J.-S. Pan, Cat Swarm Optimization, 2014.
[26] D. Lalili, A. Mellit, N. Lourci, B. Medjahed and E.M. Berkouk, Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter, 36, 2011, 3282-3291.
[27] R. Kadri, J.P. Gaubert and G. Champenois, An improved maximum power point tracking for photovoltaic grid-connected inverter based on voltage-oriented control, 58, 2011, 66-75.
[28] R. Alik and J. Awang, Modified Perturb and Observe (P&O) with checking algorithm under various solar irradiation, 148, 2017, 128-139.
[29] I. Podlubny, Fractional Differential Equations. Academic Press, New York, 1999.
[30] U.E. Ayten, E. Yuce and S. Minaei, A voltage-mode PID controller using a single CFOA and only grounded capacitors, 81, 2018, 84-93.
[31] L. Pappula and D. Ghosh, Cat swarm optimization with normal mutation for fast convergence of multimodal functions, 66, 2018, 473-491.
[32] M. Vanithasri, R. Balamurugan and L. Lakshminarasimman, Radial movement optimization (RMO) technique for solving unit commitment problem in power systems, 5, 2018, 697-707.
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Abstract
DOI:
10.2316/J.2022.203-0232
From Journal
(203) International Journal of Power and Energy Systems - 2022
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