The Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind turbine control methods, and transmission system operation requirements. These differences are even greater for aggregated wind power generation in power systems with high wind...

This paper introduces a new approach for scheduling security constraint unit commitment (SCUC) including wind farms. Because of uncertainty in wind power production, we tried to develop a new method for incorporating wind power generation in power plant scheduling. For this, wind power generation modeled with unit commitment in a non-linear optimization problem and simulated by submitting diffe...

Main objectives of the paper were to examine the complementary nature of solar and wind energy in primary and in “useful” form. Analyses are performed on real, measured solar and wind potential data at the same site. Solar irradiation and wind power density have been assessed as primary forms. In order to examine effects of their complementarity in real applications, i.e. in power systems, a hy...

one of the main problems in wind energy conversion system (wecs) is how to achieve maxim­u­m output power in different wind speeds. maximum methods for maximum power point tracking in wind energy conversion syst­e­ms require the knowledge of system characteristics and mechanic sensors. so, using these methods practically will follow with high price and an abundant difficulties. in this paper, n...

The non-dispatchable nature of wind generation implies that system operation depends on wind power prediction programs that forecast wind farms production with high levels of uncertainty. This means that probabilistic power analysis tools become more and more necessary in systems with high wind penetration. Probabilistic load flow becomes especially difficult when wind generation is considered....

 Abstract—Short-term probabilistic wind power forecasting can provide critical quantified uncertainty information of wind generation for power system operation and control. As the complicated characteristics of wind power prediction error, it would be difficult to develop a universal forecasting model dominating over other alternative models. Therefore, a novel multi-model combination (MMC) ap...

Wind power is assessed over Europe, with a special care given to the quantification of intermittency. Using the methodology developed in Gunturu and Schlosser [1], the MERRA boundary flux data was used to compute wind power density profiles over Europe. Besides of the analysis of capacity factor, other metrics have been designed to further quantify the availability and reliability of this resou...

[1] Global ocean wind power has recently been assessed (W. T. Liu et al., 2008) using scatterometry-based 10 m winds. We characterize, for the first time, wind power at 80 m (typical wind turbine hub height) above the global ocean surface, and account for the effects of surface layer stability. Accounting for realistic turbine height and atmospheric stability increases mean global ocean wind po...

In this paper, a new method to review the role of wind units as an energy-producer in the scheduling problem of unit commitment is presented. Today, renewable energy sources due to lack of environmental pollution, absence of dependence on fossil fuels, and consequently a very low marginal cost, have been receiving considerable attention in power system. But these sources are associated with unc...

Estimating the power output is one of the elements that determine the techno-economic feasibility of a renewable project. At present, there is a need to develop reliable methods that achieve this goal, thereby contributing to wind power penetration. In this study, we propose a method for wind power error estimation based on the wind speed measurement error, probability density function, and win...