Assessing Wind Energy Conversion Systems Based on Newly Developed Wind Turbine Emulator

Elsayed, Yasser; Saad, Naggar H.; Zekry, Abdalhalim

doi:10.20508/ijsmartgrid.v4i4.133.g101

Cited by 11 publications

(3 citation statements)

References 22 publications

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“…The WT delivers 804.1 W for 12 m/s wind speed (test limit) compared to the DCM’s 100 W NP. Following a number of testing’s, it was discovered that the following relationships have to be true in order to adapt the power produced by the test bench to that of the real WT (42Boudjemai et al, 2023b; Elsayed et al, 2020):…”

Section: Description Of the Platform Experimentalmentioning

confidence: 99%

Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines

Alnami,

Ardjoun,

Mahmoud

2024

Wind Engineering

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Research and investigation into renewable energy sources is being sparked by the rapidly rising need for electricity, higher costs of fossil fuels, and increasing worries about the environment. Recent years have seen a tremendous increase in the use of wind energy (WE). In-depth study has been done to effectively produce power from WE. Nevertheless, it is exceedingly challenging and dangerous to set up wind turbines (WTs) for research and teaching uses due to constraints like space and upkeep. Numerous benefits come with a lab-scale WT emulator (WTE), such as freedom from space restrictions, an improved level of control, and independence from existing weather conditions. The design and execution of a low-power, lab-scale WTE are the focus of this study. The investigated experimental configuration is intended to precisely mimic the mechanical behavior of a real WT. Aerodynamics, blades, slow shafts, gearboxes, and controller elements, for example, are modeled in MATLAB/Simulink before they are assembled and implemented on a dSPACE 1104 board. A DC motor running under buck converter control is used to substitute the quick shaft. The WTE’s functionality is evaluated in various wind speed conditions. The findings of comparing the WTE’s dynamics with those offered by the manufacturer amply show the efficacy of the proposed WTE and its capacity to take the position of an actual WT. This paper will be a useful resource for investigators in helping them select the best WTE approach for their purposes.

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Section: Description Of the Platform Experimentalmentioning

confidence: 99%

Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines

Alnami,

Ardjoun,

Mahmoud

2024

Wind Engineering

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“…The speed control system was made up of three feedback control loops: speed, flux, and current. The controllers in these three feedback loops were developed with full-order terminal sliding-mode to improve robustness and dynamic performance, minimize singularity, and reduce chattering [27][28]. B. Prathap Reddy and his colleagues concentrated on modeling and enhanced control of the PPMIM drives in all possible pole-phase combinations.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Performance Evaluation of Numerical Relay for Three-Phase Induction Motor Protection

2023

ijSmartGrid

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In today's automated world, the three-phase induction motor is important electrical equipment. These motors are extensively used in industrial driving because they are simple to build, dependable, inexpensive, and simple to use. The performance of an induction motor is very important for maintaining the production process in the industry. This paper proposes a protection scheme for the motor against various types of electrical faults that affect its performance and efficiency. In conventional protection systems, one module is used for each fault, but in the proposed protection scheme, it is possible to protect three faults with one module. For this purpose, the current and voltage values of induction motors were measured using current and voltage transformers. Here, Arduino Uno automatically selects the IDMT characteristic according to the type and magnitude of the fault. The proposed scheme is simulated by Proteus software, followed by hardware implementation, and the performance evaluation of the protection system is done in the laboratory.When over-voltage, overload, and single-phase faults are detected while the motor is running, according to the algorithm, the Arduino-controlled operation system is immediately activated, and all necessary parameters are displayed on the LCD. The simulation results and the obtained experimental results were very similar.

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“…For modern wind turbines, MPPT should be achieved to benefit from the wind speed. There are numerous methods to achieve MPPT for WPP, such as power signal feedback (PSF), optimum torque (OT), and optimum tip speed ratio (OTSR) [7], [8], [9]. The OT method aims to adjust the torque of the generator to the optimum torque for peak power at any wind speed.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Second-Order Adaptive Fuzzy Logic Controller for Grid-Connected DFIG Wind Power Plant

Elnaghi,

Abelwhab,

Abdel-Kader

et al. 2023

IEEE Access

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This paper introduces a second-order adaptive fuzzy logic controller (SO-AFLC) to enhance the characteristics of a doubly fed induction generator (DFIG) inside a grid-tied wind power plant (WPP). SO-AFLCs were utilized to maximize the output of the DFIG wind power plant (WPP) and improve dynamic responsiveness with extremely low mean square error. When comparing the mean square error of SO-AFLC with proportional-integral controllers (PI) and adaptive fuzzy logic controllers (AFLC), the reductions are 87.38% and 40.39%, respectively. This controller prevents overshoots and oscillations. DFIG wind power plant is modeled and simulated using Matlab/Simulink package. Under the unit step wind speed profile, SO-AFLC improved the steady-state error in the Cp waveform by 63.25% compared with the PI controller and 13.12% compared with AFLC. DSpace1104 is used to conduct an experimental investigation to validate the simulation results. In addition, realistic data from the wind farm at RAS Ghareb in the Gulf of Suez, Egypt, are used in this study to achieve more realistic results. Compared to those obtained with PI and AFLC, the results obtained using SO-AFLCs showed fast time response, high convergence rate, reduced peak overshoot, less undershoot, and low steady-state error in terms of power coefficient of the turbine, DC link voltage control, and rotor speed tracking. In addition, a wind turbine performance index based on gross system integral absolute error (IAE) is provided. This index is used to illustrate the SO-AFLC methodology's viability compared to AFLC and PI under the same wind turbine conditions.

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Assessing Wind Energy Conversion Systems Based on Newly Developed Wind Turbine Emulator

Cited by 11 publications

References 22 publications

Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines

Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines

Design and Performance Evaluation of Numerical Relay for Three-Phase Induction Motor Protection

Experimental Validation of Second-Order Adaptive Fuzzy Logic Controller for Grid-Connected DFIG Wind Power Plant

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