Research article

A novel control technique for a single-phase grid-tied inverter to extract peak power from PV-Based home energy systems

  • Received: 04 November 2020 Accepted: 06 February 2021 Published: 06 April 2021
  • In this paper, a single-phase full-bridge grid-tied inverter is considered for home-based photovoltaic applications. The dc-dc converter is inevitable in boosting the voltage and tracking the maximum power from the photovoltaic source. As a result, the size and cost of the home-based photovoltaic grid-tied systems increases. A dc-dc converter is eliminated in this work, and the PV voltage is considered as the input voltage to a single-phase full-bridge inverter system. Also, to overcome the demerits of traditional peak power techniques, a fuzzy logic-based peak power controller is proposed. A fuzzy logic-based dc-link voltage controller is also proposed to overcome the conventional PI-based dc-link voltage controller's demerits. Primarily the theoretical concept is validated by using the MATLAB/SIMULINK tool for simulation analysis. The Spartan-6 FPGA control board is used to implement the controller program. A laboratory prototype is fabricated in the experimental laboratory to verify the theoretical and simulation analysis. Different case studies are comprehended in this work to present the robustness of the recommended control scheme.

    Citation: Hari Charan Nannam, Atanu Banerjee. A novel control technique for a single-phase grid-tied inverter to extract peak power from PV-Based home energy systems[J]. AIMS Energy, 2021, 9(3): 414-445. doi: 10.3934/energy.2021021

    Related Papers:

  • In this paper, a single-phase full-bridge grid-tied inverter is considered for home-based photovoltaic applications. The dc-dc converter is inevitable in boosting the voltage and tracking the maximum power from the photovoltaic source. As a result, the size and cost of the home-based photovoltaic grid-tied systems increases. A dc-dc converter is eliminated in this work, and the PV voltage is considered as the input voltage to a single-phase full-bridge inverter system. Also, to overcome the demerits of traditional peak power techniques, a fuzzy logic-based peak power controller is proposed. A fuzzy logic-based dc-link voltage controller is also proposed to overcome the conventional PI-based dc-link voltage controller's demerits. Primarily the theoretical concept is validated by using the MATLAB/SIMULINK tool for simulation analysis. The Spartan-6 FPGA control board is used to implement the controller program. A laboratory prototype is fabricated in the experimental laboratory to verify the theoretical and simulation analysis. Different case studies are comprehended in this work to present the robustness of the recommended control scheme.



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    [1] Kim IS, Kim MB, Youn MJ (2006) New maximum power point tracker using a sliding-mode observer to estimate solar array current in the grid-connected photovoltaic system. IEEE Trans Ind Electron 53: 1027-1035. doi: 10.1109/TIE.2006.878331
    [2] Femia N, Petrone G, Spagnuolo G, et al. (2009) A technique for improving p & o mppt performances of double-stage grid-connected photovoltaic systems. IEEE Trans Ind Electron 56: 4473-4482. doi: 10.1109/TIE.2009.2029589
    [3] Kollimalla SK, Mishra MK (2014) Variable perturbation size adaptive p & o mppt algorithm for sudden changes in irradiance. IEEE Trans Sustain Energy 5: 718-728. doi: 10.1109/TSTE.2014.2300162
    [4] Killi M, Samanta S (2015) Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems. IEEE Trans Ind Electron 62: 5549-5559. doi: 10.1109/TIE.2015.2407854
    [5] Elgendy MA, Zahawi B, Atkinson DJ (2012) Assessment of perturb and observe MPPT algorithm implementation techniques for PV pumping applications. IEEE Trans Sustain Energy 3: 21-33. doi: 10.1109/TSTE.2011.2168245
    [6] Sera D, Teodorescu R, Hantschel J, et al. (2008) Optimized maximum power point tracker for fast-changing environmental conditions. IEEE Trans Ind Electron 55: 2629-2637. doi: 10.1109/TIE.2008.924036
    [7] Gules R, Pacheco JDP, Hey HL, et al. (2008) A maximum power point tracking system with parallel connection for PV standalone applications. IEEE Trans Ind Electron 55: 2674-2683. doi: 10.1109/TIE.2008.924033
    [8] Nannam HC, Banerjee A, Guerrero JM (2021) Analysis of an interleaved control scheme employed in split source inverter based grid‐tied photovoltaic systems. IET Renew Power Gener, 1-14.
    [9] Koutroulis E, Kalaitzakis K, Voulgaris NC (2001) Development of a microcontroller-based, photovoltaic maximum power point tracking control system. IEEE Trans Pow Electron 16: 46-54. doi: 10.1109/63.903988
    [10] Piegari L, Rizzo R (2010) Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking. IET Renew Power Gen 4: 317-328. doi: 10.1049/iet-rpg.2009.0006
    [11] Femia N, Petrone G, Spagnuolo G, et al. (2005) Optimization of perturb and observe maximum power point trackingmethod. IEEE Trans Pow Electron 21: 963-973. doi: 10.1109/TPEL.2005.850975
    [12] Jain S, Agarwal V (2004) A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems. IEEE Power Electron Letters 2: 16-19. doi: 10.1109/LPEL.2004.828444
    [13] Kasa N, Iida T, Chen L (2005) Flyback inverter controlled by sensorless current MPPTfor photovoltaic power system. IEEE Trans Ind Electron 52: 1145-1152. doi: 10.1109/TIE.2005.851602
    [14] Veerachary M, Senjyu T, Uezato K (2001) Analytical investigations for maximum power tracking of PV supplied IDB converter. 2001 IEEE 32nd Annual Power Electronics Specialists Conference, Vancouver, BC, Canada 1: 205-209.
    [15] Boehringer AF (1968) Self-adapting dc converter for solar spacecraft power supply. IEEE Trans Aerosp Electron Syst 4: 102-111.
    [16] Kuo YC, Liang TJ, Chen JF (2001) Novel maximum-power-point tracking controller for photovoltaic energy conversion systems. IEEE Trans Ind Electron 48: 594-601. doi: 10.1109/41.925586
    [17] Hart GW, Branz HM, Cox CH (1984) Experimental tests of open loop maximum-power-point tracking techniques. Sol Cells 13: 185-195. doi: 10.1016/0379-6787(84)90008-5
    [18] Masoum MAS, Dehbonei H, Fuchs EF (2002) Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power-point tracking. IEEE Trans Energy Conver 17: 514-522. doi: 10.1109/TEC.2002.805205
    [19] Kobayashi K, Matsuo H, Sekine Y (2004) A novel optimum operating point tracker of the solar cell power supply system. 2004 IEEE 35th Annual Power Electronics Specialists Conference 3 : 2147-2151.
    [20] Mutoh N, Matuo T, Okada K, et al. (2002) Prediction-data-based maximum-power-point-tracking method for photovoltaic power generation systems. 2002 IEEE 33rd Annual IEEE Power Electronics Specialists Conference. Proceedings 3: 1489-1494.
    [21] Yuvarajan S, Xu S (2003) Photo-voltaic power converter with a simple maximum-power-point-tracker. Proceedings of the 2003 International Symposium on Circuits and Systems, ISCAS '03, Bangkok, Thailand, 399-402.
    [22] Won CY, Kim DH, Kim SC, et al. (1994). A new maximum power point tracker of photovoltaic arrays using fuzzy controller. Proceedings of 1994 Power Electronics Specialist Conference—PESC'94 Taipei, Taiwan 1: 396-403.
    [23] Senjyu T, Uezato K (1994). Maximum power point tracker using fuzzy control for photovoltaic arrays. Proceedings of 1994 IEEE International Conference on Industrial Technology—ICIT '94, Guangzhou, China, 143-147.
    [24] Yu GJ, Jung MW, Song J, et al. (1996) Maximum power point tracking with temperature compensation of photovoltaic for air conditioning system with fuzzy controller. Conference Record of the Twenty Fifth IEEE Photovoltaic Specialists Conference, Washington, DC, USA, 1429-1432.
    [25] Simoes MG, Franceschetti NN, Friedhofer M (1998) A fuzzy logic based photovoltaic peak power tracking control. IEEE International Symposium on Industrial Electronics, Proceedings, Pretoria, South Africa 1: 300-305. doi: 10.1109/ISIE.1998.707796
    [26] Mahmoud AMA, Mashaly HM, Kandil SA, et al. (2000) Fuzzy logic implementation for photovoltaic maximum power tracking. IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies, Nagoya, Japan 1: 735-740.
    [27] Patcharaprakiti N, Premrudeepreechacharn S (2002) Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system. IEEE Power Engineering Society Winter Meeting, New York, NY, USA, 1: 372-377. doi: 10.1109/PESW.2002.985022
    [28] Ravikumar N, Kohila J (2013) Tracking maximum power point from photovoltaic system using fuzzy logic technique. IEEE Conference on Information & Communication Technologies, Thuckalay, India, 93-97.
    [29] Veerachary M, Senjyu T, Uezato K (2003) Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost converter-supplied PV system using fuzzy controller. IEEE Trans Ind Electron 50: 749-758. doi: 10.1109/TIE.2003.814762
    [30] Hiyama T, Kouzuma S, Imakubo T (1995) Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control. IEEE Trans Energy Convers 10: 360-367. doi: 10.1109/60.391904
    [31] Ro K, Rahman S (1998) Two-loop controller for maximizing performance of a grid-connected photovoltaic-fuel cell hybrid power plant. IEEE Trans Energy Convers 13: 276-281. doi: 10.1109/60.707608
    [32] Xing C, Xi X, He X, et al. (2020) Research on the MPPT Control Simulation of Wind and Photovoltaic Complementary Power Generation System. IEEE Sustainable Power and Energy Conference (iSPEC), Chengdu, China, 1058-1063.
    [33] Zhang M, Wu J, Zhao H (2004) The application of slide technology in PV maximum power point tracking system. Fifth World Congress on Intelligent Control and Automation, Hangzhou, China, 6: 5591-5594. doi: 10.1109/WCICA.2004.1343805
    [34] Teodorescu R, Liserre M, Rodrıguez P (2011) Grid converters for Photovoltaic and Wind power systems, New Jersey, USA, Wiley-IEEE Press, 5-42.
    [35] Esram T, Chapman PL (2007) LCL Comparison of photovoltaic array maximum power point tracking techniques, filter design and performance analysis for grid-interconnected systems. IEEE Trans Energy Convers 22: 439-449. doi: 10.1109/TEC.2006.874230
    [36] Nabulsi AA, Dhaouadi R (2012) Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control. IEEE Transactions Ind Inform 8: 573-584. doi: 10.1109/TII.2012.2192282
    [37] Nannam HC, Babu C, Banerjee A (2020) Control and analysis of a 3-level diode-clamped split source inverter in the applications of grid-tied photovoltaic systems. Int Trans Electr Energy Syst 30: 1-30. doi: 10.1002/2050-7038.12573
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