A Two-Level Sensorless MPPT Strategy Using SRF-PLL on a PMSG Wind Energy Conversion System

Echchaachouai, Amina; Hani, Soumia El; Hammouch, Ahmed; Aboudrar, Imad

doi:10.15598/aeee.v15i3.2215

Cited by 4 publications

(3 citation statements)

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“…In this work we have proposed to identify the harmonics with the synchronous reference frame (SFR) [15,16] method combined with Adaline or what is called the two-phase method [17]. Consider the case of the three-phase polluted current equation, written as follows [18]:…”

Section: Theory Of the Two-phase Methods Based On The Extraction Of Hamentioning

confidence: 99%

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

Chtouki¹,

Wira²,

Zazi³

et al. 2020

EJEE

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In order to better adapt to the variation in solar irradiation and to improve the efficiency of the photovoltaic generator, i.e. to maximize the power delivered to the grid. Several criteria's for optimizing the efficiency of the photovoltaic system have been applied. Among them, the algorithms for tracking the optimal operating point of the photovoltaic panels that called Maximum Power Point Tracking (MPPT). In this article, a PV generator (GPV) has been connected to the power grid, as a result, direct consequence is in the deterioration of the voltage wave and thus the quality level of the energy supplied to the consumers. To overcome these problems of harmonic pollution, active power filtering is proposed as an efficient solution to improve grid power quality. This paper therefore proposes to examine the characteristics of an association between a photovoltaic generator (PVG) that aims at injecting active power into the electrical grid and a parallel active filter that has the task of eliminating disturbances present in this grid. The theory of the twophase method with Adaline harmonic extraction is applied for the extraction of the reference currents according to the DQ reference frame. Finite set mode predictive current control (FS-MPCC) applied on PAF has been proposed in order to compensate undesirable harmonic, and reactive power resulting from a non-linear load. A Global Maximum Power Point Tracking (GMPPT) algorithm based Adaline method has been suggested for extracting power from PVG. A simulation under Matlab/Simulink of the global system proves the robust performance capability of the suggested Adaline Neuro-Predictive (ANP) control to simultaneously provide harmonic current compensation, power factor correction and solar power energy injection into the grid.

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Section: Theory Of the Two-phase Methods Based On The Extraction Of Hamentioning

confidence: 99%

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

Chtouki¹,

Wira²,

Zazi³

et al. 2020

EJEE

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“…where R s represents the stator resistance, L d and L q are the direct and quadrature inductances, i d and i q are the stator currents in the d-q frame, ψ f is the permanent magnet flux, ω is the PMSG speed, and it is given by ω � PΩ t , and P are the pair poles [25]. e electromagnetic torque is given by…”

Section: Permanent Magnet Synchronous Generator Modelingmentioning

confidence: 99%

Dynamic Modeling and Robust Control by ADRC of Grid‐Connected Hybrid PV‐Wind Energy Conversion System

Aboudrar

Hani

Heyine

et al. 2019

Mathematical Problems in Engineering

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This work presents linear and nonlinear control strategies applied to a grid-connected multiple-source renewable energy system (wind and photovoltaic), in order to extract the maximum power and to enhance the control of the active and reactive powers. A new robust control strategy known as the active disturbance rejection control (ADRC) is proposed and applied to the hybrid renewable energy system (HRES), and it is based on the extended state observer (ESO) which allows us to estimate the internal and external disturbances such as modeling errors and parameter variations. The studied system consists of two conversion chains which are linked via a common DC bus and interconnected to the grid through a voltage source inverter (VSI); the first chain consists of a PV system and a DC-DC boost converter, and the second chain consists of a direct-driven wind turbine, permanent magnetic synchronous generator (PMSG), and of a AC/DC rectifier converter. The extraction of maximum power from the PV system and the wind energy conversion system is ensured by using the voltage based perturb and observe (VPO) and the optimal torque control (OTC) MPPT techniques, respectively. The ADRC technique is utilized to control the active and reactive powers by acting on the grid currents. In order to verify and validate the effectiveness of the proposed control strategy, a detailed model of the studied system is designed and evaluated under the MATLAB/Simulink software. The simulation results prove the effectiveness of the MPPT techniques in terms of maximum power extraction during the variation in the environmental conditions. Additionally, the regulation of active and reactive powers is ensured by ADRC, and the system is operating at a unity power factor. Moreover, it is demonstrated that the suggested strategy is efficient in terms of fast tracking and robustness to internal and external disturbances compared to the classical PI controller.

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“…More specific applications were considered in [15]; optimal adaptation for general wind energy conversion systems was achieved via estimating the optimum value of the c P coefficient using extremum seeking. In [16], the ESC was equipped in a prototype, the Delft Offshore Turbine (DOT) with a retrofitted 500 kW hydraulic drive train.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Extremum Seeking Control of Urban Area Wind Turbines

Dietrich

Borchers-Tigasson

Naumann³

et al. 2021

Energies

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Maximum-power point tracking of wind turbines is a challenging issue considering fast changing wind conditions of urban areas. For this purpose, an adaptive control approach that is fast and robust is required. Conventional approaches based on simple step perturbations and subsequent observation, however, are difficult to design and too slow for the demanding wind conditions of urban areas including gusts and turbulence. In this paper, an extremum seeking control scheme to the recently developed wind turbine MOWEA (Modulare Windenergieanlagen GmbH) is proposed and successfully applied. To this end, a comprehensive aero-electromechanical model of the wind turbine under study including basic control is formulated. Next, the extremum seeking control scheme is adapted to the system. Several aspects to increase adaptation speed are highlighted, including a novel phase compensation. Finally, a validation of the proposed approach is performed considering real wind data, thus demonstrating its fast and robust adaptability. The proposed control scheme is computationally efficient and can be easily implemented on the existing onboard electronics.

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A Two-Level Sensorless MPPT Strategy Using SRF-PLL on a PMSG Wind Energy Conversion System

Cited by 4 publications

References 0 publications

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

Dynamic Modeling and Robust Control by ADRC of Grid‐Connected Hybrid PV‐Wind Energy Conversion System

Adaptive Extremum Seeking Control of Urban Area Wind Turbines

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