Reduced oscillations based perturb and observe solar maximum power point tracking scheme to enhance efficacy and speed of a photovoltaic system

Pathak, Pawan Kumar; Yadav, Anil Kumar; Alvi, P. A.

doi:10.36909/jer.13569

Cited by 16 publications

(15 citation statements)

References 19 publications

(28 reference statements)

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“…Much research has been done on incremental conductance (INC) [6] and perturbation and observation (P&O) [7] approaches, which are two of the more common types of traditional MPPT algorithms. The key advantages of these algorithms are their simplicity and low cost, and ability to follow the MPP in uniform weather.…”

Section: Aimsmentioning

confidence: 99%

“…Also, the performance of the ROP&O is verified using a three-phase grid integration condition. Nonetheless, the controller efficacy is not tested in PSC, simultaneously changing load, temperature and radiation conditions [7].…”

Section: Status Quo On Mppt Algorithms In Pv Systemsmentioning

confidence: 99%

“…4 at a single operational point, from which the aforementioned transfer function was calculated. The system operating point changes when the amount of solar insolation changes, resulting in a change (7)…”

Section: Pv System Small-signal Modeling With Power-conversion Stagementioning

confidence: 99%

“…This section provides a concise introduction to the algorithms that are used for comparison. The parameter settings of the INC [6] and P&O [7] algorithms used in this (12)…”

Section: Mppt Techniquesmentioning

confidence: 99%

See 3 more Smart Citations

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: Aimsmentioning

confidence: 99%

Section: Status Quo On Mppt Algorithms In Pv Systemsmentioning

confidence: 99%

Section: Pv System Small-signal Modeling With Power-conversion Stagementioning

confidence: 99%

“…This section provides a concise introduction to the algorithms that are used for comparison. The parameter settings of the INC [6] and P&O [7] algorithms used in this (12)…”

Section: Mppt Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Furthermore, MPP is achieved in 0.018 s, which is 15 and 5 times quicker than INC and PO approaches, respectively. 23 For the PV system, an ARFPI MPPT is employed. The PSO was utilized to adjust the ARFPI parameters by reducing the equal-weighted sum of ITAE and IAE.…”

Section: Hybrid Mppt Approaches Include the Integration Of Classicalmentioning

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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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.

show abstract

Reduced oscillations based perturb and observe solar maximum power point tracking scheme to enhance efficacy and speed of a photovoltaic system

Cited by 16 publications

References 19 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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