Model Reference Adaptive Control Based Estimation of Equivalent Resistance and Reactance in Grid-Connected Inverters

Mukherjee, S. P.; Chowdhury, Vikram Roy; Shamsi, Pourya; Ferdowsi, Mehdi

doi:10.1109/tec.2017.2710200

Cited by 23 publications

(18 citation statements)

References 31 publications

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“…In [6], two equivalent modeling methods for PV system are proposed for partially shielded and unshielded PV cells. To study the transient characteristics of large-scale PV power stations and avoid constructing detailed models for every type of inverter, Mukherjee et al [7] analyzed the effectiveness of the model reference adaptive control (MRAC) approach for modeling a grid connected inverter system. In [8], the equivalent dynamic model of an actual PV power station with virtual synchronous characteristics was studied, and a method was proposed to obtain the dynamic equivalent model of a group of PV converters based on the synchronous power controller.…”

Section: Index Terms-distribution Network Equivalent Modeling Fuzzymentioning

confidence: 99%

Equivalent Modeling Method for Regional Decentralized Photovoltaic Clusters Based on Cluster Analysis

Wu¹,

Liu²,

Chen³

et al. 2018

CPSS TPEA

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Section: Index Terms-distribution Network Equivalent Modeling Fuzzymentioning

confidence: 99%

Equivalent Modeling Method for Regional Decentralized Photovoltaic Clusters Based on Cluster Analysis

Wu¹,

Liu²,

Chen³

et al. 2018

CPSS TPEA

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“…These include, SMC [22], the proportional resonant controller [23], the deadbeat controller [24], the hysteresis controller [25], and the PI controller [3]. The Artificial Neural Network (ANN) controller, the nonlinear adaptive controller, the Artificial Intelligence (AI) fuzzy controller, and the neuro-fuzzy controller are also proposed [26][27][28][29]. The above-mentioned controllers improve the performance of grid-connected PV system.…”

Section: Introductionmentioning

confidence: 99%

Control of Transformerless Inverter-Based Two-Stage Grid-Connected Photovoltaic System Using Adaptive-PI and Adaptive Sliding Mode Controllers

et al. 2021

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To enhance the move towards a sustainable society, the solar Photovoltaic (PV) industry and its applications are progressing at a rapid rate. However, the associated issues need to be addressed when connecting PV to the grid. Advanced and efficient controllers are required for the DC link to control the second harmonic ripple and current controllers to inject quality active and reactive power to the grid in the grid-connected PV system. In this paper, DC-link voltage, active power, and reactive power are successfully controlled in stationary reference using Adaptive-PI (A-PI) and Adaptive-Sliding Mode Controller (A-SMC) for a 3 kW single-phase two-stage transformerless grid-connected inverter. A Resonant Harmonic Compensator (RHC)-based Proportional Resonant (PR) controller is employed in the current-controlled loop. The magnitude, phase, and frequency information of the grid voltage are provided by Second-Order General Integral (SOGI)-based PLL that has harmonic immunity, fast-tracking accuracy, and a rapid-dynamic response. MATLAB®/Simulink®/Simscape R2017b were used for the test bench implementation. Two scenarios were considered: in the first case, the input PV power feedforward loop was avoided, while in second case, it was included. The feedforward loop of input PV power improved the overall system dynamics. The results show that the designed controller improves both the steady-state and dynamic performance as compared with a proper-regulated PI-controller. The proposed controllers are insensitive to active and reactive power variations, and are robust, stable, faster, and fault tolerant, as compared to controllers from prior studies.

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“…But the performance of the fixed gain PI controller depends upon the exact knowledge of the GCPVS parameters such as the DC‐link capacitor and the impedance between the inverter and the point of common coupling (PCC) [4]. Further, the value of the DC‐link capacitor varies due to ageing [5], and the value of filter impedance varies due to operating conditions [6].…”

Section: Introductionmentioning

confidence: 99%

A lyapunov‐based adaptive voltage controller for a grid connected PV system

2021

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A new Lyapunov-based adaptive controller (LBAC) for a single stage three-phase gridconnected PV system (GCPVS) is proposed here. The uncertainties in solar irradiation affects the performance of the GCPVS. Further, ageing in the DC-link capacitor affects the PV voltage tracking. To achieve an improved performance of the GCPVS under both high and low irradiation, and under an aged DC-link capacitor, a new LBAC scheme has been proposed to control the PV voltage. In this LBAC, the gains of the controller are adapted online by a Lyapunov-based adaptation mechanism to provide the nominal tracking response of PV voltage. Further, a maximum power point tracking algorithm and grid current controllers are designed to transfer the maximum PV power to the grid, ensuring good power quality. As a result, improved performances of the GCPVS are achieved in terms of low PV voltage ripple, enhancement of delivered grid energy, and low grid current total harmonics distortion (THDs). Computer simulation studies are carried out in MATLAB/Simulink environment to verify the effectiveness of the proposed LBAC. Further, experiments are performed in a 2.5 kW GCPVS prototype for real time implementation of the proposed controller. The total harmonics distortion (THD) of grid currents is found to be within IEEE-1547 standards.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Model Reference Adaptive Control Based Estimation of Equivalent Resistance and Reactance in Grid-Connected Inverters

Cited by 23 publications

References 31 publications

Equivalent Modeling Method for Regional Decentralized Photovoltaic Clusters Based on Cluster Analysis

Equivalent Modeling Method for Regional Decentralized Photovoltaic Clusters Based on Cluster Analysis

Control of Transformerless Inverter-Based Two-Stage Grid-Connected Photovoltaic System Using Adaptive-PI and Adaptive Sliding Mode Controllers

A lyapunov‐based adaptive voltage controller for a grid connected PV system

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