Robust sliding-mode control for maximum power point tracking of photovoltaic power systems with quantized input signal

Aminnejhad, Hojjat; Kazeminia, Sarang; Aliasghary, Mortaza

doi:10.1016/j.ijleo.2021.167983

Cited by 12 publications

(9 citation statements)

References 29 publications

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“…When compared to traditional SMC, the QI-SMC approach effectively eliminates the chattering and external disturbances from the system. However, the QI-SMC performance is assessed only in uniform weather conditions, and PSC's effect is not considered [17]. A reduced oscillation P&O (ROP&O) technique is implemented to eliminate the oscillation, and decrease the risk of tracking direction loss when PV is exposed to periodic fluctuations in irradiance.…”

Section: Status Quo On Mppt Algorithms In Pv Systemsmentioning

confidence: 99%

Novel Lyapunov-based rapid and ripple-free MPPT using a robust model reference adaptive controller for solar PV system

Manna

Akella

Singh

2023

Prot Control Mod Power Syst

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The technological, economic, and environmental benefits of photovoltaic (PV) systems have led to their widespread adoption in recent years as a source of electricity generation. However, precisely identifying a PV system's maximum power point (MPP) under normal and shaded weather conditions is crucial to conserving the maximum generated power. One of the biggest concerns with a PV system is the existence of partial shading, which produces multiple peaks in the P–V characteristic curve. In these circumstances, classical maximum power point tracking (MPPT) approaches are prone to getting stuck on local peaks and failing to follow the global maximum power point (GMPP). To overcome such obstacles, a new Lyapunov-based Robust Model Reference Adaptive Controller (LRMRAC) is designed and implemented to reach GMPP rapidly and ripple-free. The proposed controller also achieves MPP accurately under slow, abrupt and rapid changes in radiation, temperature and load profile. Simulation and OPAL-RT real-time simulators in various scenarios are performed to verify the superiority of the proposed approach over the other state-of-the-art methods, i.e., ANFIS, INC, VSPO, and P&O. MPP and GMPP are accomplished in less than 3.8 ms and 10 ms, respectively. Based on the results presented, the LRMRAC controller appears to be a promising technique for MPPT in a PV system.

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Section: Status Quo On Mppt Algorithms In Pv Systemsmentioning

confidence: 99%

Novel Lyapunov-based rapid and ripple-free MPPT using a robust model reference adaptive controller for solar PV system

Manna

Akella

Singh

2023

Prot Control Mod Power Syst

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“…The chattering effect is eliminated by QI-SMC with 98.9% efficiency compared to the SMC, as per simulation data. 28 To obtain the most electricity from the PV array, it must function at the recommended MPP voltage and current; MPP is the name given to this ideal operating condition. An AMPC approach is suggested in this study to run the PV panel at MPP regardless of its attributes.…”

Section: Hybrid Mppt Approaches Include the Integration Of Classicalmentioning

confidence: 99%

“…QI offers three benefits: easy implementation, removal of the chattering effect, and decrease of noise and disruptions. The chattering effect is eliminated by QI‐SMC with 98.9% efficiency compared to the SMC, as per simulation data 28 . To obtain the most electricity from the PV array, it must function at the recommended MPP voltage and current; MPP is the name given to this ideal operating condition.…”

Section: Introductionmentioning

confidence: 99%

A novel robust maximum power extraction framework for sustainable PV system using incremental conductance based MRAC technique

Singh

Akella

Manna

2023

Env Prog and Sustain Energy

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This study proposes a maximum power point tracking (MPPT) approach with two components: an Incremental Conductance (INC) MPPT for reference voltage regulation and a Model Reference Adaptive Controller (MRAC) for adjusting the duty cycle of the DC‐DC converter switch. A robustness test is performed on the system considering real‐world situations that involve an abrupt change in atmospheric conditions with load uncertainties. The probabilistic load distribution analysis is accomplished through levels of uncertainty (i.e., Probabilistic DOWN and UP) to guarantee the operation of the proposed INC‐MRAC controller while generating unexpected disturbances in the system. Using MATLAB/Simulink, the performances of the novel INC‐MRAC MPPT are comparatively analyzed with PO, INC, VSSPO, and ANN under realistic case studies in seven states. After comparative analysis, it is evident that the proposed MPPT offers less tracking time, i.e., 3.8 ms, to track maximum power point (MPP) with negligible steady‐state oscillation and ripples. It is about 3, 7, 9, and 10 times faster than ANN, VSSPO, INC and PO, respectively. Moreover, the tracking efficiency of the proposed controller is up to 99.63% as well as overall efficiency of the system is more than 98%. The tracking power loss and error rate in finding MPP for the proposed controller is the lowest among all state‐of‐the‐art MPPT approaches. Finally, the effectiveness of the proposed INC‐MRAC approach is experimentally validated by employing a real‐time simulator OPAL‐RT (OP4510). The study helps in environmental protection and participation in sustainable development.

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“…These strategies also suffer from significant steady‐state oscillations and poor convergence speed, which are their biggest problems. To counteract the frequent shortcomings of traditional approaches, MPPT strategies based on soft computing, like sliding mode control (SMC), 11 artificial neural network (ANN), 12 fuzzy logic control (FLC), 13 and metaheuristic‐based approach (i.e., particle swarm optimization [PSO], 14 genetic algorithm, 15 etc.) developed.…”

Section: Introductionmentioning

confidence: 99%

“…This research employs hysteresis quantized input (QI) to lessen the chattering problems while also providing additional advantages. The performance is evaluated exclusively in constant meteorological circumstances, and the effect of PSC is omitted 11 . A reduced oscillation‐P&O (ROPO) strategy described to eliminate direction loss and oscillation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid two‐stage adaptive maximum power point tracking for stand‐alone, grid integration, and partial shaded PV system

Manna,

Singh,

Akella

2023

Adaptive Control & Signal

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SummaryIn a PV array, the power‐voltage characteristic (P‐V) and output power are completely dependent on atmospheric conditions. Consequently, the P‐V curve's maximum power point (MPP) likewise changes significantly. This abrupt oscillation in the MPP may be caused by the PV panel being uniformly or partially shaded by trees, buildings, raindrops, and clouds. However, in both circumstances, the maximum power point tracking (MPPT) turns into a highly nonlinear issue with a time‐bounded solution. The unpredictable weather circumstances change P‐V characteristics after every short time interval. Therefore, this research presents a hybrid two‐stage adaptive MPPT to overcome the environmental uncertainties. The first stage is MPPT control block for determining reference voltage for each MPP and the second stage is modified model reference adaptive controller (MMRAC) block fine‐tunes converter duty cycle to maintain MPP of PV panel. The probabilistic evaluation is executed through four distinct levels of uncertainty, including stand‐alone, partially‐shaded, grid integration, and OPAL‐RT to examine the system robustness in diverse scenario. The possibility of the tracking failure caused by dynamic irradiance change is also verified. Moreover, efficiency, tracking ability, power loss, ripple, and error rate are compared with the state‐of‐the‐art strategies, that is, ANFIS, INC, P&O, and VSPO. The satisfactory performances of the new strategy under simultaneously varying irradiance, temperature, and load; partially shaded and grid integration shows the supremacy.

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Robust sliding-mode control for maximum power point tracking of photovoltaic power systems with quantized input signal

Cited by 12 publications

References 29 publications

Novel Lyapunov-based rapid and ripple-free MPPT using a robust model reference adaptive controller for solar PV system

Novel Lyapunov-based rapid and ripple-free MPPT using a robust model reference adaptive controller for solar PV system

A novel robust maximum power extraction framework for sustainable PV system using incremental conductance based MRAC technique

Hybrid two‐stage adaptive maximum power point tracking for stand‐alone, grid integration, and partial shaded PV system

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