Journal Home > Volume 29 , Issue 1

The extraction of maximum power from the solar panels, using the sliding mode control scheme, becomes popular for partial weather atmospheric conditions due to its effective dynamic duty cycle ratio. However, the sliding mode control scheme was sophisticated with single integral and double integral sliding mode control scheme, which offer enhanced maximum power extraction and support enhanced solar panel efficiency in partial weather conditions. The operation of the sliding mode control scheme depends on the selection of a sliding surface selection based on the atmospheric weather condition, which enables the effective sliding duty cycle ratio operation for the DC/DC boost converter. The duty cycle ratio of the sliding mode control resembles the usual dynamic behavior to achieve enhanced efficiency compared to the various maximum power point tracking (MPPT) schemes. The major limitation of the sliding mode control scheme is to achieve the steady state voltage error of the solar panel in minimum settling time duration. The single integral sliding mode control scheme achieves the expected steady state voltage error limit but fails to achieve minimum settling time duration. Hence, the single integral sliding mode control is extended to a double integral sliding mode control scheme to achieve both steady state voltage error limits within the minimum settling time duration. This double integral sliding mode control scheme allows us to obtain the higher sliding surface duty cycle ratio which acts as the input signal to the boost converter. This activates the enhanced stable and reliable system operation, and nullifies the lacuna of maximum solar panel efficiency under partial weather conditions. Hence, this paper aims to present the design and performance operation of the double integral sliding mode (DISM) MPPT control scheme. To validate the performance analysis of the proposed DISM MPPT control scheme, the MATLAB/Simulink model is designed and verified. Also, the performance analysis of the proposed DISM MPPT control scheme is compared with the sliding mode controller (SMC) scheme and single integral sliding mode controller (SISMC) scheme. The performance analysis of the proposed double integral sliding mode controller (DISMC) scheme attains 99.10% of efficiency and a very less settling time of 0.035 s when compared to other existing methods.


menu
Abstract
Full text
Outline
About this article

Enhancement of Solar PV Panel Efficiency Using Double Integral Sliding Mode MPPT Control

Show Author's information Immadisetty Rahul1Raju Hariharan1( )
Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, India

Abstract

The extraction of maximum power from the solar panels, using the sliding mode control scheme, becomes popular for partial weather atmospheric conditions due to its effective dynamic duty cycle ratio. However, the sliding mode control scheme was sophisticated with single integral and double integral sliding mode control scheme, which offer enhanced maximum power extraction and support enhanced solar panel efficiency in partial weather conditions. The operation of the sliding mode control scheme depends on the selection of a sliding surface selection based on the atmospheric weather condition, which enables the effective sliding duty cycle ratio operation for the DC/DC boost converter. The duty cycle ratio of the sliding mode control resembles the usual dynamic behavior to achieve enhanced efficiency compared to the various maximum power point tracking (MPPT) schemes. The major limitation of the sliding mode control scheme is to achieve the steady state voltage error of the solar panel in minimum settling time duration. The single integral sliding mode control scheme achieves the expected steady state voltage error limit but fails to achieve minimum settling time duration. Hence, the single integral sliding mode control is extended to a double integral sliding mode control scheme to achieve both steady state voltage error limits within the minimum settling time duration. This double integral sliding mode control scheme allows us to obtain the higher sliding surface duty cycle ratio which acts as the input signal to the boost converter. This activates the enhanced stable and reliable system operation, and nullifies the lacuna of maximum solar panel efficiency under partial weather conditions. Hence, this paper aims to present the design and performance operation of the double integral sliding mode (DISM) MPPT control scheme. To validate the performance analysis of the proposed DISM MPPT control scheme, the MATLAB/Simulink model is designed and verified. Also, the performance analysis of the proposed DISM MPPT control scheme is compared with the sliding mode controller (SMC) scheme and single integral sliding mode controller (SISMC) scheme. The performance analysis of the proposed double integral sliding mode controller (DISMC) scheme attains 99.10% of efficiency and a very less settling time of 0.035 s when compared to other existing methods.

Keywords: maximum power point tracking (MPPT) schemes, sliding mode controller (SMC), double integral sliding mode controller (DISMC), pulse width modulation (PWM), photovoltaic (PV) system

References(26)

[1]
A. Bag, B. Subudhi, and P. K. Ray, A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system, CSEE J. Power Energy Syst., vol. 5, no. 4, pp. 498–506, 2019.
[2]
H. F. Feshara, A. M. Ibrahim, N. H. El-Amary, and S. M. Sharaf, Performance evaluation of variable structure controller based on sliding mode technique for a grid-connected solar network, IEEE Access, vol. 7, pp. 84349–84359, 2019.
[3]
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, 2013.
[4]
C. C. Chu and C. L. Chen, Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach, Sol. Energy, vol. 83, no. 8, pp. 1370–1378, 2009.
[5]
A. Costabeber, M. Carraro, and M. Zigliotto, Convergence analysis and tuning of a sliding-mode ripple-correlation MPPT, IEEE Trans. Energy Convers., vol. 30, no. 2, pp. 696–706, 2015.
[6]
Z. Solomon, C. B. Sivaparthipan, P. Punitha, M. BalaAnand, and N. Karthikeyan, Certain investigation on power preservation in sensor networks, in Proc. 2018 Int. Conf. Soft-Computing and Network Security (ICSNS), Coimbatore, India, 2018, pp. 1–7.
[7]
M. N. Shehzad, Q. Bashir, U. Farooq, G. Ahmed, M. Raza, P. M. Kumar, and M. Khalid, Threshold temperature scaling: Heuristic to address temperature and power issues in MPSoCs, Microprocess. Microsyst., vol. 77, p. 103124, 2020.
[8]
M. Shu, S. Wu, T. Wu, Z. Qiao, N. Wang, F. Xu, A. Shanthini, and B. A. Muthu, Efficient energy consumption system using heuristic renewable demand energy optimization in smart city, Comput. Intell., vol. 38, no. 3, pp. 784–800, 2022.
[9]
D. Jiang, W. Zhu, B. Muthu, and T. G. Seetharam, Importance of implementing smart renewable energy system using heuristic neural decision support system, Sustain. Energy Technol. Assess., vol. 45, p. 101185, 2021.
[10]
S. C. Tan, Y. M. Lai, C. K. Tse, L. Martinez-Salamero, and C. K. Wu, A fast-response sliding-mode controller for boost-type converters with a wide range of operating conditions, IEEE Trans. Ind. Electron., vol. 54, no. 6, pp. 3276–3286, 2007.
[11]
S. C. Tan, Y. M. Lai, and C. K. Tse, Indirect sliding mode control of power converters via double integral sliding surface, IEEE Trans. Power Electron., vol. 23, no. 2, pp. 600–611, 2008.
[12]
Y. P. Jiao and F. L. Luo, An improved sliding mode controller for boost converter in solar energy system, in Proc. 2009 4th IEEE Conf. Ind. Electron. Appl., Xi’an, China, 2009, pp. 805–810.
[13]
H. Serhoud and D. Benattous, Sliding mode control of maximum power point tracker for photovoltaic array, in Proc. Int. Symp. Environ. Friendly Energies Elect. Appl., Ghardaia, Algeria, 2010, pp. 2–4.
[14]
Y. Jiao, F. L. Luo, and M. Zhu, Generalised modelling and sliding mode control for n-cell cascade super-lift DC–DC converters, IET Pwr. Electr., vol. 4, no. 5, p. 532, 2011.
[15]
B. Subudhi and R. Pradhan, A comparative study on solar array parameter extraction methods, Int. J. Renew. Energy Technol., vol. 3, no. 3, p. 295, 2012.
[16]
E. M. Barhoumi, P. C. Okonkwo, I. B. Belgacem, M. Zghaibeh, and I. Tlili, Optimal sizing of photovoltaic systems based green hydrogen refueling stations case study Oman, Int. J. Hydrog. Energy, vol. 47, no. 75, pp. 31964–31973, 2022.
[17]
, J. Bai, D. H. Kadir, M. A. Fagiry, and I. Tlili, Numerical analysis and two-phase modeling of water Graphene Oxide nanofluid flow in the riser condensing tubes of the solar collector heat exchanger, Sustain. Energy Technol. Assess., vol. 53, p. 102408, 2022.
[18]
Y. Zhang, J. Wang, H. Li, T. Q. Zheng, J. S. Lai, J. Li, J. Wang, and Q. Chen, Dynamic performance improving sliding-mode control-based feedback linearization for PV system under LVRT condition, IEEE Trans. Power Electron., vol. 35, no. 11, pp. 11745–11757, 2020.
[19]
J. Van Gorp, M. Defoort, and M. Djemaï, Binary signals design to control a power converter, in Proc. 2011 50th IEEE Conf. Decision Control Eur. Control Conf., Orlando, FL, USA, 2012, pp. 6794–6799.
[20]
S. K. Ghosh, T. K. Roy, M. A. H. Pramanik, and M. A. Mahmud, Design of nonlinear backstepping double-integral sliding mode controllers to stabilize the DC-bus voltage for DC–DC converters feeding CPLs, Energies, vol. 14, no. 20, p. 6753, 2021.
[21]
S. K. Ghosh, T. K. Roy, M. A. H. Pramanik, and M. A. Mahmud, A nonlinear double-integral sliding mode controller design for hybrid energy storage systems and solar photovoltaic units to enhance the power management in DC microgrids, IET Gener. Transm. Distribution, vol. 16, no. 11, pp. 2228–2241, 2022.
[22]
A. Bag, B. Subudhi, and P. K. Ray, An adaptive sliding mode control scheme for grid integration of a PV system, CPSS Trans. Power Electron. Appl., vol. 3, no. 4, pp. 362–371, 2018.
[23]
W. Jiang, X. Zhang, F. Guo, J. Chen, P. Wang, and L. H. Koh, Large-signal stability of interleave boost converter system with constant power load using sliding-mode control, IEEE Trans. Ind. Electron., vol. 67, no. 11, pp. 9450–9459, 2020.
[24]
B. Subudhi and S. S. Ge, Sliding-mode-observer-based adaptive slip ratio control for electric and hybrid vehicles, IEEE Trans. Intell. Transp. Syst., vol. 13, no. 4, pp. 1617–1626, 2012.
[25]
A. Patel, V. Kumar, and Y. Kumar, Perturb and observe maximum power point tracking for photovoltaic cell, Innov. Syst. Design Eng., vol. 4, no. 6, pp. 9–15, 2013.
[26]
T. S. Kumar, M. R. Nayak, R. V. Krishna, and K. P. Rao, Enhanced performance of solar PV array-based machine drives using Zeta converter, in Proc. 2020 IEEE Int. Conf. Advances and Developments in Electrical and Electronics Engineering (ICADEE), Coimbatore, India, 2020, pp. 1–5.
Publication history
Copyright
Acknowledgements
Rights and permissions

Publication history

Received: 20 December 2022
Revised: 08 March 2023
Accepted: 08 April 2023
Published: 07 August 2023
Issue date: February 2024

Copyright

© The author(s) 2024.

Acknowledgements

The authors are thankful to principal and management of the Saveetha School of Engineering, SIMATS for encouragement and allowing to issue this paper.

Rights and permissions

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Return