A new estimation approach based on moments for estimating Weibull parameters in wind power applications

Usta, İlhan; Arik, Ibrahim; Yenılmez, İsmail; Kantar, Yeliz Mert

doi:10.1016/j.enconman.2018.03.033

Cited by 71 publications

(47 citation statements)

References 29 publications

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“…The characteristics of the wind potential are described by the distribution of the velocity and direction of the winds. It is commonly accepted to use the Weibull distribution [15] to study the time-varying wind flow. The research was conducted on the basis of a passive experiment based on the data of the Yavoriv Agrometeorological Station (in connection with the proximity of its territorial location to the Zhovkva district) over a fiveyear period.…”

Section: Research Results and Discussionmentioning

confidence: 99%

Justification of Parameters of the Energy Supply System of Agricultural Enterprises with Using Wind Power Installations

et al. 2020

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The methodology is proposed and the simulation model of functioning of the energy supply system of agricultural enterprises using wind power installations is developed, which enables to solve the problem of justification of the parameters of the relevant system. The model of the energy supply system of an agricultural enterprise using wind power is developed, which is based on the method of stochastic simulation and provides justification of the parameters of this system by the cost criterion. On the basis of passive production experiments, the study of the naturalindustrial conditions of energy supply of agricultural enterprises using the wind power installations for the conditions of Zhovkva district of Lviv region was performed. Computer experiments were carried out using the developed simulation model of functioning of the energy supply system of agricultural enterprises using wind power installations. On the example of the natural and production conditions of Zhovkva district of Lviv region, system functional indicators of the energy supply system of agricultural enterprises with the use of wind power installations are established. The tendencies of change in the cost of utilized energy for changes in parameters of the energy supply system of an agricultural enterprise using wind energy and the share of its replacement are justified.

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Section: Research Results and Discussionmentioning

confidence: 99%

Justification of Parameters of the Energy Supply System of Agricultural Enterprises with Using Wind Power Installations

et al. 2020

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“…where we suppose that m w follows the two-parameter Weibull distribution through a scale parameter 1 10 s = and shape parameter 2 14 s = , and d w follows zero-mean Gaussian white noise distribution with standard variation 1.899 σ = [28]. Then, a group of 600 s random normal wind speed data generated by the FAST simulator as indicated in Figure 10 is adopted in Case 3.…”

Section: Randomly Varying Wind Speed Based On the Fast Simulatormentioning

confidence: 99%

“…However, these EMPC approaches pay no special attention to the mitigation of mechanical loads on the tower in the economic objective function. Additionally, different treatment of the random wind speed can be considered, consisting of summing the mean wind speed, which follows a two-parameter Weibull distribution, and the turbulent wind speed, which follows a zero-mean Gaussian, white noise distribution [28].…”

Section: Introductionmentioning

confidence: 99%

Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions

Kong

Liu

et al. 2020

Energies

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With the gradual increase in the installed capacity of wind turbines, more and more attention has been paid to the economy of wind power. Economic model-predictive control (EMPC) has been developed as an effective advanced control strategy, which can improve the dynamic economy performance of the system. However, the variable-speed wind turbine (VSWT) system widely used is generally nonlinear and highly coupled nonaffine systems, containing multiple economic terms. Therefore, a nonlinear EMPC strategy considering power maximization and mechanical load minimization is proposed based on the comprehensive VSWT model, including the dynamics of the tower and the gearbox in this paper. Three groups of simulations verify the effectiveness and reliability/practicability of the proposed nonlinear EMPC strategy.

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“…They used L-Moments Method, Maximum Likelihood Method, Moment Method and Power Density Method while determining the coefficients of WDF. Usta et al [12] introduce a new estimation approach that could be used to calculate the parameters of WDF for the estimation of wind power and they reviewed the previous estimation methods used to determine the coefficients of WDF. Shoib et al [13] evaluated the performance of WDF with using real wind data measured at five different altitude and they revealed that a wind power potential of selected region at Baburband site.…”

Section: Literature Reviewmentioning

confidence: 99%

Determination of Weibull parameters with using Standard Deviation Method and performance comparison at different locations

Kaplan

2019

Scientia Iranica

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This paper analyzed the harmony of the Weibull Distribution Function (WDF) and the real data obtained from three different locations. The Standard Deviation Method (SDM) was used to calculate the coefficients of the WDF at Adana, Osmaniye and Hatay regions. One of the important purposes of this study is to observe how the performance of the SDM changes in regions with different mean wind speeds. The statistical fittings of the calculated and measured hourly wind speed data were evaluated for justifying the performance of the SDM. According to the results, Root Mean Square Error (RMSE) , Coefficient of Determination (R 2 ) and Mean Percentage Error (MPE) error analyses tests were used to evaluate the performance of mentioned method in all three selected regions. The performance of the method mentioned in this study was examined in detail at different regions with different geographic characteristics. For the selected three regions, the performance of the SDM was evaluated at different mean wind speeds varying over the years. In addition, the performance of the selected method in three different regions was examined in detail in the same years and it was observed how geographical factors affected the performance of the method.

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A new estimation approach based on moments for estimating Weibull parameters in wind power applications

Cited by 71 publications

References 29 publications

Justification of Parameters of the Energy Supply System of Agricultural Enterprises with Using Wind Power Installations

Justification of Parameters of the Energy Supply System of Agricultural Enterprises with Using Wind Power Installations

Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions

Determination of Weibull parameters with using Standard Deviation Method and performance comparison at different locations

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