Identification of optimum wind turbine parameters for varying wind climates using a novel month-based turbine performance index

Gugliani, Gaurav Kumar; Sarkar, Arnab; Ley, Christophe; Matsagar, Vasant

doi:10.1016/j.renene.2021.02.141

Cited by 7 publications

(3 citation statements)

References 50 publications

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“…Similar to PV power, the randomness of WT power is mainly affected by wind speed, which is usually described by 2parameter Weibull distribution. The corresponding probability density function is as follows (Gugliani et al, 2021):…”

Section: Wind Turbine Power Fluctuation Modelmentioning

confidence: 99%

Probabilistic power flow calculation using principal component analysis-based compressive sensing

et al. 2023

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The increasing scale of the injection of renewable energy has brought about great uncertainty to the operation of power grid. In this situation, probabilistic power flow (PPF) calculation has been introduced to mitigate the low accuracy of traditional deterministic power flow calculation in describing the operation status and power flow distribution of power systems. Polynomial chaotic expansion (PCE) method has become popular in PPF analysis due to its high efficiency and accuracy, and sparse PCE has increased its capability of tackling the issue of dimension disaster. In this paper, we propose a principal component analysis-based compressive sensing (PCA-CS) algorithm solve the PPF problem. The l1-optimization of CS is used to tackle the dimension disaster of sparse PCE, and PCA is included to further increase the sparsity of expansion coefficient matrix. Theoretical and numerical simulation results show that the proposed method can effectively improve the efficiency of PPF calculation in the case of random inputs with higher dimensions.

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Section: Wind Turbine Power Fluctuation Modelmentioning

confidence: 99%

Probabilistic power flow calculation using principal component analysis-based compressive sensing

et al. 2023

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“…where k 0 and c 0 are the value of k and c at the reference height H 0 respectively. α is the wind shear coefficient (Hellmann exponent) [26].…”

Section: Wind Turbine Efficiency Problemmentioning

confidence: 99%

Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

Marouani¹,

Almehmadi²,

Farkh³

et al. 2022

Computers, Materials &Amp; Continua

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In this work, the concepts of particle swarm optimization-based method, named non-Gaussian improved particle swarm optimization for minimizing the cost of energy (COE) of wind turbines (WTs) on high-altitude sites are introduced. Since the COE depends on site specification constants and initialized parameters of wind turbine, the focus was on the design optimization of rotor radius, hub height and rated power. Based on literature, the COE is converted to the Saudi Arabia context. Thus, the constrained wind turbine optimization problem is developed. Then, non-Gaussian improved particle swarm optimization is provided and compared with the conventional particle swarm optimization for solving the optimization design in wind turbine efficiency under different altitudes ranging from 2500 to 4000 m. The results show that as altitude rises, the optimal rotor radius grows, but the optimal hub height and rated power drop, resulting in an increase in COE. Further, the non-Gaussian method display a faster convergence compared to the classical particle swarm optimization. These findings will be useful as a reference for wind turbine design at high altitudes. Thus, it could be employed to optimize the initialized parameter of wind turbine for the planned and largest wind farm in Saudi Arabia in Dumat Al-Jandal selected site.

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“…• En el mercado se encuentran una variedad de aerogeneradores de distintos tipos como los de eje vertical (Li, Maeda, Kamada, & Mori, 2017), los de sistema de direccionamiento por veleta (Alsailani, Montazeri, & Rezaeiha, 2021), con el empleo de distintos materiales dependiendo del área de utilización (Gugliani, Sarkar, Ley, & Matsagar, 2021). Esta investigación se enfoca en la construcción de palas para aerogeneradores de eje horizontal con una potencia de 250 W.…”

Section: Descripción Del Sistema Globalunclassified

Diseño mecánico de palas para un aerogenerador de 250w de potencia

et al. 2021

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Las zonas rurales tienen una deficiencia de suministro eléctrico importante, ya que las comunidades están alejadas de las redes de transmisión eléctrica, por lo que el desarrollo se delimita apresuradamente en estos lugares. En zonas de este tipo, donde se dispone del recurso renovable del viento, la implantación de máquinas eólicas o aerogeneradores puede representar una solución viable e inmediata al problema energético de necesidades eléctricas básicas. Los aerogeneradores están planificados para áreas con fuertes corrientes de viento para generar la energía, y los mismos presentan de manera más eficiente una solución viable e inmediata, especialmente para el problema energético de las necesidades eléctricas básicas. El diseño experimental propuesto se basó en la literatura existen sobre el diseño de palas para generadores eólicos tomando en cuenta las condiciones locales de áreas rurales de la República Dominicana que tengan las condiciones de viento mínima para que estas funcionen. Sin embargo, la indicación más significativa para seleccionar los materiales es la disponibilidad local. El diseño final presentado en las conclusiones es el resultado de una investigación teórica, una solución de ecuaciones matemáticas y un montaje experimental realizado en el Instituto Tecnológico de Santo Domingo, INTEC. Se espera que este trabajo sea un punto de partida para nuevas investigaciones relacionadas o mejoras al diseño actual en la República Dominicana.

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Identification of optimum wind turbine parameters for varying wind climates using a novel month-based turbine performance index

Cited by 7 publications

References 50 publications

Probabilistic power flow calculation using principal component analysis-based compressive sensing

Probabilistic power flow calculation using principal component analysis-based compressive sensing

Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

Diseño mecánico de palas para un aerogenerador de 250w de potencia

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