Multi-mode control strategy for a stand-alone wind energy conversion system with battery energy storage

Watil, Aziz; Magri, Abdelmounime El; Lajouad, Rachid; Raihani, Abdelhadi; Giri, F.

doi:10.1016/j.est.2022.104481

Cited by 46 publications

(13 citation statements)

References 34 publications

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“…Nevertheless, the application of linear control in frequency estimation is subject to some constraints. In order to tackle the issues of harmonic rejection, DC bias reduction, and frequency variation, innovative control methods such as enhanced SOGI, improved ANF, and higher-order techniques have been presented in 39 .In the study conducted by the authors, a multi-mode control technique is introduced for systems that combine wind and battery technologies 40 . This strategy provides a streamlined and less intricate architectural design, leading to enhanced efficiency in execution speed.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The controller improves power quality and compensates for reactive power. Unity power factor and uninterruptible power supply to the nonlinear load are also provided Improving the quality of power, compensating for the reactive power and unity power factor 25 Watil Aziz et al 40 Tackles the issue of operating a self-contained wind energy conversion system by utilising battery storage for energy Power quality challenges 26 Krishna, D et al 41 FOFL controller-based UPQC addresses power quality issues including harmonics, voltage sag/swell, and VDC-Link regulation, enhancing system dynamics. Its effectiveness is demonstrated in a nonlinear load power distribution system Current distortion, voltage Swell, Sag, and THD of nonlinear loads in distribution power system 27 Krishna et al 42 Improve the power by utilising an Adaptive FLC-based UPQC system Harmonics, voltage sag and swell 28 Ahilan, T 43 In order to enhance the power quality of the system, we made use of a total of four distinct types of compensators, including UPFC, DPFC, USSC, and UPQC Problems with the power quality include swell, interruptions, sag, and harmonics 29 Ismail, M.M.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Ravi,

Kumar,

Dhanamjayulu

et al. 2023

Sci Rep

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Renewable energy integration introduces grid instability due to variable and intermittent sources like solar and wind, impacting reliability. This paper provides a thorough discussion of recent advancements and emerging trends in grid-integrated wind energy systems (GIWES) and grid-integrated solar energy systems (GISES). More than 70 research articles have been rigorously assessed and listed the technological and economic challenges. The increase in installations of grid-Integrating systems gives rise to challenges like as grid strain, peak shaving impacts, unpredictability of renewable energy sources (RES), and power quality disturbances. A variety of custom power devices, such as dynamic voltage restorers (DVR), static synchronous compensators (STATCOM), active power filters (APF), and unified power quality conditioners (UPQC), have gained popularity in response to these challenges. Among the various challenges, power quality disturbances, including voltage sag, swell, current and harmonics pose significant issues. To address these disturbances this work present a novel approach utilizing fuzzy logic (FL) to develop multi-feeder interline unified power-quality conditioners (MF-IUPQCs). The MF-IUPQC has three legs and three levels, each of which has four diode-clamped inverters. Switching is carried out through the use of space vector pulse width/duration modulation (SVPWM). Total harmonic distortion (THD) induced by nonlinear loads is reduced by the FLC-based MF-IUPQC, which also improves dynamic performance and offers a smooth DC-link voltage. The proposed control mechanism is implemented using MATLAB/Simulink. The fuzzy-based controller is compared to the industry-standard proportional-integral (PI) controller to determine its efficacy. Among them, the MF-IUPQC based on FLC delivers the smoothest voltage profile and the lowest THD.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Ravi,

Kumar,

Dhanamjayulu

et al. 2023

Sci Rep

View full text Add to dashboard Cite

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“…The problem of controlling the output parameters of the autonomous wind energy conversion system with a battery is considered in [9]. The system consists of a serial connected synchronous generator with permanent magnets, an uncontrollable rectifier, a transducer, a lithium-ion battery, and a DC load.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the control system for taking off the maximum power of an autonomous wind plant with a synchronous magnetoelectric generator

Ostroverkhov

Chumack

Kovalenko

et al. 2022

EEJET

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The object of this study is electromechanical processes in an autonomous wind power plant with a magnetoelectrical generator. Under actual conditions, the wind speed is constantly changing. The wind turbine works as efficiently as possible only at the rated value of wind speed. When the wind speed changes, the efficiency of converting mechanical wind energy into electrical energy decreases. Controlling the power of the electric generator when the wind speed changes is a relevant scientific and technical task. A maximum power selection control system based on the parameters of an experimental sample of a synchronous magnetoelectric generator has been designed and investigated. A feature of the synthesized control system is that it was developed on the basis of the concept of inverse dynamics problems in combination with minimization of local functionals of instantaneous energy values. The control law provides weak sensitivity to parametric perturbations of the object and carries out dynamic decomposition of the interdependent nonlinear system, which predetermines its practical implementation. Transient processes of the power, voltage, and current of the stator, as well as the voltage and excitation current were established when the wind speed changes from 3 to 8 m/s, as well as when the active electrical resistance of the load changes. The results of this study confirm the effectiveness of the maximum power take-off control system when wind speed and load change. When the wind speed changes within 3–8 m/s and the load by 50 %, the efficiency of converting mechanical wind energy into electrical energy increases by 15–40 % compared to the traditional magnetoelectric system. The findings of the current study are recommended for practical use in autonomous power plants based on wind turbines with generators with permanent magnets.

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“…Based on existing literature, researchers express significant concern about enhancing this conversion process. For instance, some focus on increasing the level of wind penetration [15,16], while others explore the option of utilizing a battery charge controller for energy storage [17][18][19]. On the other hand, several control approaches have been proposed to enhance the performance of Wind Turbine Systems (WTS) based on Doubly-Fed Induction Generators (DFIG) during normal operations [20].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles

Dardabi,

Djebli,

Chojaa

et al. 2024

PLoS ONE

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This study tackles the complex task of integrating wind energy systems into the electric grid, facing challenges such as power oscillations and unreliable energy generation due to fluctuating wind speeds. Focused on wind energy conversion systems, particularly those utilizing double-fed induction generators (DFIGs), the research introduces a novel approach to enhance Direct Power Control (DPC) effectiveness. Traditional DPC, while simple, encounters issues like torque ripples and reduced power quality due to a hysteresis controller. In response, the study proposes an innovative DPC method for DFIGs using artificial neural networks (ANNs). Experimental verification shows ANNs effectively addressing issues with the hysteresis controller and switching table. Additionally, the study addresses wind speed variability by employing an artificial neural network to directly control reactive and active power of DFIG, aiming to minimize challenges with varying wind speeds. Results highlight the effectiveness and reliability of the developed intelligent strategy, outperforming traditional methods by reducing current harmonics and improving dynamic response. This research contributes valuable insights into enhancing the performance and reliability of renewable energy systems, advancing solutions for wind energy integration complexities.

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Multi-mode control strategy for a stand-alone wind energy conversion system with battery energy storage

Cited by 46 publications

References 34 publications

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Development of the control system for taking off the maximum power of an autonomous wind plant with a synchronous magnetoelectric generator

Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles

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