Implementation of adjustable variable step based backstepping control for the PV power plant

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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“…Table 1 lists all the simulation parameters for the proposed system. The MPPT scheme tracking efficiency (η) is calculated as [20]:…”

Section: Resultsmentioning

confidence: 99%

“…The VS-BS approach can capture MPP accurately with no overshoot and negligible ripple under load, temperature, and radiation conditions. However, the efficacy of the proposed controller under PSC is not discussed [20].…”

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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“…But the recommended controller's efficacy in PSC and grid integration is left unexplored. 25 A hybrid adaptive network based fuzzy inference system (ANFIS)-PSO based MPPT approach designed and implemented in zeta converter to provide quick and zero oscillation tracking. A space vector modulation hysteresis current controller is used as the inverter control approach to achieve high-quality inverter current by tracking a precise reference sine-shaped current.…”

Section: Current Status Of Mppt Strategiesmentioning

confidence: 99%

“…Under radiation, load and temperature circumstances, the strategy can precisely record MPP with negligible overshoot and oscillation. But the recommended controller's efficacy in PSC and grid integration is left unexplored 25 …”

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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“…Another weakness is that the output voltage of the DC-DC converter cannot be controlled. Our proposed system is the Backstepping control with P&O blocks can be used to generate the reference voltage monitored by the controller [29]. In addition, boost converter control ensures that the PV generator supplies the same voltage as the MPPT block.…”

Section: Introductionmentioning

confidence: 99%

Design and PIL Test of High Performance MPPT Controller Based on P&O-Backstepping Applied to DC-DC Converter

Diouri¹,

Gaga

Senhaji³

et al. 2022

Journal of Robotics and Control

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This paper presents the design, test and validation process of the maximum power point tracking (MPPT) based on the Perturb and Observe backstepping controller. The design of this robust controller follows a sequence of two tests of the validated model-based design (MBD) approach. Our contribution is to give a roadmap for designing, testing and validating embedded software for MPPT algorithms. Perturb and observe algorithm is used to generate the reference voltage which is used by the backstepping controller to generate the maximum power. Then, after simulation of all these techniques, generated optimized C code for the STM32F4 microcontroller is necessary to test the controller on embedded platform. Therefore, the algorithm of MPPT is simulated by Model in the Loop (MIL) and Processor in the Loop (PIL) techniques. The results show that the proposed system has full control over reference power, for different atmospheric changes, by backstepping and integrating into a 32-bit ARM microcontroller. In all of the various tests, the embedded software developed demonstrates high compliance and high performance with MPPT requirements.

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Implementation of adjustable variable step based backstepping control for the PV power plant

Cited by 17 publications

References 21 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

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

Design and PIL Test of High Performance MPPT Controller Based on P&O-Backstepping Applied to DC-DC Converter

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