Design and Real-Time Implementation of Cascaded Model Reference Adaptive Controllers for a Three-Phase Grid-Connected PV System

Bhunia, Malay; Subudhi, Bidyadhar; Ray, Pravat Kumar

doi:10.1109/jphotov.2021.3093047

Cited by 19 publications

(10 citation statements)

References 17 publications

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“…Due to its special characteristics and ease of execution, MRAC is designed for MPP applications. The MRAC required only reference and array voltage as input [29,30]. The MRAC primarily consists of a process, adaptation gain, and reference model as illustrated in Figure 7.…”

Section: Model Reference Adaptive Controlmentioning

confidence: 99%

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

Manna¹,

Singh²,

Akella³

et al. 2022

Scientia Iranica

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Solar photovoltaic (SPV) power generation has been more popular throughout the world in recent years due to its recyclable and eco-friendly nature. As a result, extracting the maximum power from SPV systems is important. Our contribution to this problem is to harvest maximum power under changes in ambient conditions and parametric variations. This paper presents a novel robust model reference adaptive maximum power point tracking controller (RMRAC-MPPT) for PV systems under five different cases including temperature, load, irradiance, boost converter capacitance, and inductance variations. To assess the robustness of the proposed method, MATLAB/Simulink software is used to compare it to the state-of-the-art techniques such as INC, P&O, FLC, Adaptive FLC, SMC, back stepping-SMC, PI, iRCS-MPC, P&O-MPC, ANFIS, BAT-FLC, and IPID. The verification of the proposed method is also tested in a laboratory-based OPAL-RT real-time simulator. It is evident that the proposed MPPT technique improves maximum power point (MPP) tracking capabilities while reducing steady-state oscillations. Furthermore, with five different parameter variations, the time duration to capture MPP is 1.5ms, which is significantly faster than other state-of-the-art 2 techniques. In addition, the proposed technique has a tracking efficiency of 99.75% and an overall system efficiency of 96%.

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Section: Model Reference Adaptive Controlmentioning

confidence: 99%

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

Manna¹,

Singh²,

Akella³

et al. 2022

Scientia Iranica

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“…As a result, it improves robustness under parameter variations. However [33], suggests using a cascade model reference adaptive control (MRAC) to eliminate the undesired chattering issues associated with the SMC technique. This last study considers a linearized hybrid grid-connected renewable energy system.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, it exhibits a trial-and-error controller adjustment. Therefore, this paper aims to improve the proposal [33] after expanding the MRAC for nonlinear plants given in [34] (Section 3.3.2).…”

Section: Introductionmentioning

confidence: 99%

Robust Cascade MRAC for a Hybrid Grid-Connected Renewable Energy System

Travieso-Torres,

Ricaldi-Morales,

Véliz-Tejo

et al. 2023

Processes

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Hybrid grid-connected renewable energy systems have gained significant importance in sustainably responding to an increased electrical energy demand. These are time-varying nonlinear dynamical plants, where the value of their parameters depends on changing weather conditions and the alternating grid voltage with randomly fluctuating amplitude. This paper proposes a robust cascade MRAC for nonlinear plants representing a class of these systems, which includes n renewable energy converts and a DC/AC single-phase full bridge inverter. The proposal reduces commissioning time by avoiding linearization and knowledge of the plant parameters. Moreover, it includes specific formulas for tuning the controller parameters that decrease their adjustments based on trial and error. Finally, it uses a direct adaptive method with adaptive laws having modification and an inner loop at least five times faster than the outer loop. The proposition validation includes the theoretical stability proof based on the Lyapunov stability method and Barbalat’s Lemma. Furthermore, it presents comparative simulation results with quoted cascade PI controllers for a monophasic system, including two renewable energy sources and injection. Both techniques effectively track setpoint changes of the energy sources’ currents and direct current bus voltage, showing the proposal similar or reduced ripple. At the same time, both ensure robustness against decreased photovoltage panels irradiance, increased fuel cells voltage, and grid voltage amplitude random fluctuations. However, the proposal does these things while avoiding prior linearization and unknowing the plant parameters.

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“…The photovoltaic module (PV-M) used in SPG is susceptible to the effects of temperature (T) and irradiance level (G), thereby reducing system efficiency [15,16]. Therefore, this study focused on the analysis and research of the SPG maximum power point (MPP).…”

Section: Introductionmentioning

confidence: 99%

Novel Global-MPPT Control Strategy Considering the Variation in the Photovoltaic Module Output Power and Loads for Solar Power Systems

Lin

Huang

et al. 2022

Processes

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This research proposed a novel global maximum power point tracking (global-MPPT) algorithm. The proposed algorithm eliminates the perturbation and observation (P&O) technique disturbance problem that the power point will be stuck at the local peak power point under a partial shading condition (PSC). The proposed global-MPPT algorithm detects the photovoltaic module (PV-M) environment irradiance level by the relationship between the output power and voltage of the PV-M. In the proposed algorithm, the important parameter w is determined by the PV-M output power and irradiance level, which is also the compensation parameter that corresponds to the relationship of temperature. The proposed global-MPPT algorithm is aimed to predict the best duty cycle of the global-MPPT based on the irradiance level, parameter w, PV-M output voltage, and load, and then achieve the maximum power point (MPP) quickly and accurately. The measurement results under UIC and PSC verify that the proposed global-MPPT technique performs better than the particle swarm optimization (PSO) and P&O techniques. This research contributes to the proposed method that can find the global-MPP in time based on the irradiance level, temperature, and load.

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Design and Real-Time Implementation of Cascaded Model Reference Adaptive Controllers for a Three-Phase Grid-Connected PV System

Cited by 19 publications

References 17 publications

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

Robust Cascade MRAC for a Hybrid Grid-Connected Renewable Energy System

Novel Global-MPPT Control Strategy Considering the Variation in the Photovoltaic Module Output Power and Loads for Solar Power Systems

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