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Open Access

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

Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, India
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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) schemessliding mode controller (SMC)double integral sliding mode controller (DISMC)pulse width modulation (PWM)photovoltaic (PV) system

References

[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.
Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Crossref Google Scholar
[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.
Google Scholar
[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.
Crossref Google Scholar
Tsinghua Science and Technology
Volume 29 Issue 1,
February 2024
Pages 271-283
DOI: 10.26599/TST.2023.9010030
Cite this article:
Rahul I, Hariharan R. Enhancement of Solar PV Panel Efficiency Using Double Integral Sliding Mode MPPT Control. Tsinghua Science and Technology, 2024, 29(1): 271-283. https://doi.org/10.26599/TST.2023.9010030

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Received: 20 December 2022
Revised: 08 March 2023
Accepted: 08 April 2023
Published: 07 August 2023
© The author(s) 2024.

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/).
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