High Gain DC/DC Converter‏ ‏Implemented with MPPT Algorithm for DC ‎Microgrid System ‎

Document Type : Research paper


Energy Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran


This paper presents the output voltage control and execution of a novel non-isolated high step-up (NIHS) DC-DC converter connected to a solar photovoltaic (PV) based DC microgrid system. The proposed converter provides a high output voltage conversion ratio over smaller duty cycles, small inductors, low cost, and high efficiency to enhance the level of the generated voltages of PV. Also, to overcome the drawback of PV, the detailed operation of maximum power point tracking (MPPT) for the novel boost DC-DC converter topology is presented. A control algorithm, modified perturb and observe (MP&O), is put forward to assure that the maximum power is extracted from PV at any environmental condition. It regulates the output voltage of the PV system to the desired DC bus voltage. This technique is compared with the Incremental Conductance (INC) and conventional P&O algorithm in terms of their computational complexity and oscillations near maximum power point (MPP) using MATLAB & Simulink. The focus is on the continuous conduction mode of the proposed converter. To demonstrate the effectiveness of the proposed converter, operation modes, and technical analysis are conducted. Also, the experimental results of a 200 W-12V/120V, 25 kHz prototype are given and discussed to justify the suggested converter.


  1. Mohamed, M. Abd El Sattar, “ A comparative study of P&O and INC maximum power point tracking techniques for grid-connected PV systems”, SN Applied Sciences, vol. 1, no. 2, pp.174, 2019.
  2. Naderi et al, “MILP based optimal design of hybrid microgrid by considering statistical‎ wind estimation and demand response”, J. Oper. Autom. Power Eng., vol. 10, no. 1, pp 54-65, 2022.
  3. Salman, X. AI, W. Zhouyang, “Design of a P-&-O algorithm based MPPT charge controller for a stand-alone 200W PV system, Protect. Control Modern Power Syst.”, no.1, pp. 1-8, 2018.
  4. Babaa et al., “Overview of maximum power point tracking control methods for PV systems”, J. Power Energy Eng, vol. 2, no. 8, pp.59-72, 2014.
  5. Cheng et al., “Optimization of a fuzzy-logic-control-based MPPT algorithm using the particle swarm optimization technique”, Energies, vol. 8, no. 6, pp. 5338-5360, 2015.
  6. Guerra, F. Ugulino, D. Araújo, “Assessing maximum power point tracking intelligent techniques on a PV system with a buck–boost converter”, Energies, vol. 14, no. 22, pp. 7453, 2021.
  7. Giurgi, L. Szolga, D. Giurgi, “Benefits of fuzzy logic on MPPT and PI controllers in the chain of photovoltaic control systems”, Appl. Sci., vol. 12, pp. 2318, 2022.
  8. Siddique et al., “Implementation of incremental conductance MPPT algorithm with integral regulator by using boost converter in grid-connected PV array.” IETE J. Res., pp.1-14, 2021.
  9. Zand et al., “Improvement of self-predictive incremental conductance algorithm with the ability to detect dynamic conditions”, Energies. vol. 14, no. 5, pp. 1234, 2021.
  10. Aurairat and B. Plangklang, “An alternative perturbation and observation modifier maximum power point tracking of PV systems”, Symmetry, vol.14, no. 1, pp. 44, 2021.
  11. Sharma and V. Agarwal, “Maximum power extraction from a partially shaded PV array using shunt-series compensation”, IEEE J. Photovoltaic, vol. 4, no. 4, pp. 1128-37, 2014.
  12. Abouchabana et al., “Power efficiency improvement of a boost converter using a coupled inductor with a fuzzy logic controller: application to a photovoltaic system”, Appl. Sci., vol. 11, no. 3, pp. 980, 2021.
  13. A Garrigós et al., “Interleaved, switched-inductor, multi-phase, multi-device DC/DC boost converter for non-isolated and high conversion ratio fuel cell applications”, J. Hydrogen Energy, vol. 44, pp. 12783-92, 2019.
  14. Tran et al., “Switched-capacitor-based high boost DC-DC converter”, Energies, vol. 11, no. 4, pp 987, 2018.
  15. Qi, D. Ghaderi, J. Guerrero. “Sliding mode controller-based switched-capacitor-based high DC gain and low voltage stress DC-DC boost converter for photovoltaic applications”, Int. J. Electr. Power Energy Syst., vol. 125, pp. 106496, 2021.
  16. Tang, T. Wang, D. Fu, “Multicell switched-inductor/ switched-capacitor combined active-network converters”, IEEE Trans. Power Electron., vol. 30, pp 2063-72, 2014.
  17. Shokri, E. Naderi, S. SeyedShenava, “Active and reactive power control of grid-connected PV power systems based on HGNISS DC-DC converter and SMDPC strategy”, Power Electron. Drive Syst. Tech. Conf., 2020.
  18. Li et al., “A novel quadratic boost converter with low inductor currents”, Trans. Power Electron. Appl., vol. 5, no. 1, pp 1-10, 2020
  19. Srinivasan et al., “Neural network based MPPT control with reconfigured quadratic boost converter for fuel cell application”, Int. J. Hydrogen Energy, vol. 46, no. 9, pp. 6709-19, 2021.
  20. Osman, M. Mohamad Elias, N. Abd Rahim, “Three-level hybrid boost converter with output voltage regulation and capacitor balancing”, IETE J. Res., pp 1-9, 2021.
  21. Axelrod, Y. Berkovich, A Ioinovici, “Switched-capacitor/switched-inductor structures for getting transformerless hybrid DC–DC PWM converters”, IEEE Trans. Circuits Syst. I: Regular Papers, vol. 55, no. 2, pp 687-96, 2008.
  22. Sadaf et al, “A novel modified switched inductor boost converter with reduced switch voltage stress”, IEEE Trans. Ind. Electron., vol. 68, no. 2, pp 1275-89, 2020.
  23. Faridpak et al., “Improved hybrid switched inductor/switched capacitor DC–DC converters”, IEEE Trans. Power Electron., vol. 36, no. 3, pp 3053-62, 2020.
  24. Bhaskar et al., “Modified multilevel buck–boost converter with equal voltage across each capacitor: Analysis and experimental investigations”, IET Power Electron., vol. 12, no. 13, pp 3318-3330, 2019.
  25. Xie, R. Li, “A novel switched-capacitor converter with high voltage gain”, IEEE Access, no. 7, pp 107831-107844, 2019.
  26. Shahid et al., “Implementation of the novel temperature controller and incremental conductance MPPT algorithm for indoor photovoltaic system”, Solar Energy, vol. 163, pp. 235-242, 2018.
  27. Kamran et al, “Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system”, J. King Saud Uni. Eng. Sci., vol. 32, no. 7, pp. 432-41, 2020.