Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

Shahdadi, Amir; Barakati, S. Masoud; Khajeh, Ahmad

doi:10.1002/eng2.12042

Cited by 6 publications

(2 citation statements)

References 23 publications

(50 reference statements)

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“…This work focuses on operational efficiency. There are two ways to improve the cost and compensate for the operational efficiency of PV systems: on the one hand, the structure of the PV generator is changed at the implementation stage or the PV system is forced to operate at its maximum energy potential [9]. The latter approach is the maximum power point tracking algorithm and focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

A New Hybrid MPPT Based on Incremental Conductance-Integral Backstepping Controller Applied to a PV System under Fast-Changing Operating Conditions

Harrison

Alombah

Nguimfack–Ndongmo

2023

International Journal of Photoenergy

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Maximum power point tracking (MPPT) is becoming more and more important in the optimization of photovoltaic systems. Several MPPT algorithms and nonlinear controllers have been developed for improving the energy yield of PV systems. On the one hand, most of the conventional algorithms such as the incremental conductance (INC) demonstrate a good affinity for the maximum power point (MPP) but often fail to ensure acceptable stability and robustness of the PV system against fast-changing operating conditions. On the other hand, the MPPT nonlinear controllers can palliate the robust limitations of the algorithms. However, most of these controllers rely on expensive solar irradiance measurement systems or complex and relatively less accurate methods to seek the maximum power voltage. In this paper, we propose a new hybrid MPPT based on the incremental conductance algorithm and the integral backstepping controller. The hybrid scheme exploits the benefits of the INC algorithm in seeking the maximum power voltage and feeds a nonlinear integral backstepping controller whose stability was ensured by the Lyapunov theory. Therefore, in terms of characteristics, the overall system is a blend of the MPP-seeking potential of the INC and the nonlinear and robust potentials of the integral backstepping controller (IBSC). It was noted that the hybrid system successfully palliates the conventional limitations of the isolated INC and relieves the PV system from the expensive burden of solar irradiance measurement. The proposed hybrid system increased the operational efficiency of the PV system to 99.94% and was found better than the INC MPPT algorithm and 8 other recently published MPPT methods. An extended validation under experimental environmental conditions showed that the hybrid system is approximately four times faster than the INC in tracking the maximum power with better energy yield than the latter.

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Section: Introductionmentioning

confidence: 99%

A New Hybrid MPPT Based on Incremental Conductance-Integral Backstepping Controller Applied to a PV System under Fast-Changing Operating Conditions

Harrison

Alombah

Nguimfack–Ndongmo

2023

International Journal of Photoenergy

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“…achieved by applying Terminal sliding mode control (TSMC) for MPPT. Shahdadi et al[70] have improved the fast terminal sliding mode MPPT control. An adjustment of the coefficients is necessary.…”

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confidence: 99%

Improvement of the Dynamic Response of Robust Sliding Mode MPPT Controller-Based PSO Algorithm for PV Systems under Fast-Changing Atmospheric Conditions

Djanssou

Dadjé

Tom

et al. 2021

International Journal of Photoenergy

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To get the maximum power point (MPP), the algorithms developed in the literature fail for the most part when the atmospheric conditions vary rapidly. This paper presents the optimization by the swarm particles (PSO) of a sliding mode controller (SMC) to optimize photovoltaic systems (PV) evolving under the conditions of a rapid variation of the sunshine. The stochastic PSO algorithm is used in particular to determine the optimal gains of the sliding mode controller, and this algorithm guarantees the stability and global fast convergence of the system. Efficiency of the proposed hybrid algorithm is proved by using a Solarex MSX-60 module connected to a step-up DC-DC converter supplying a resistive load. The performances are compared to the conventional perturb and observe technique (P&O), PSO, CUCKOO, grey wolf optimization (GWO), and Whale Optimization Algorithm (WOA) in terms of convergence speed, i.e., 0.05 s, tracking speed after extreme change in irradiance 0.03 s, high Ability to track large changes in power before 1 s. Simulation results show that this technique is effective in conditions of a rapid variation of the irradiance.

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Application of sliding mode control for maximum power point tracking of solar photovoltaic systems: A comprehensive review

Ahmad

Ghenaï

Hamid

et al. 2020

Annual Reviews in Control

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Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

Cited by 6 publications

References 23 publications

A New Hybrid MPPT Based on Incremental Conductance-Integral Backstepping Controller Applied to a PV System under Fast-Changing Operating Conditions

A New Hybrid MPPT Based on Incremental Conductance-Integral Backstepping Controller Applied to a PV System under Fast-Changing Operating Conditions

Improvement of the Dynamic Response of Robust Sliding Mode MPPT Controller-Based PSO Algorithm for PV Systems under Fast-Changing Atmospheric Conditions

Application of sliding mode control for maximum power point tracking of solar photovoltaic systems: A comprehensive review

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