Integration of wind units into power system introduces various sources of technical and economical challenges to operate power system due to its inherent uncertainty and variability. In operation of power system, stochastic wind generation can affect the system security. In this paper, optimal Security-Constrained Unit Commitment (SCUC) in presence of Demand Response (DR) program based on stoch...

We have investigated various SAR images of tropical cyclones, which were acquired by the SAR aboard the satellites ENVISAT and RADARSAT-1 at different polarizations and incidence angles, using a similar approach as suggested by Horstmann et al., 2005 [1]. The resulting SAR-retrieved wind fields are compared to results of high-resolution numerical models as well as in situ measurements collected...

The empirical mode decomposition (EMD) is well known for predicting wind speed.However, but the joint application of relevance vector machine (RVM) and empirical mode decomposition in wind speed forecasting is seldom found in the field. This paper proposes a relevance vector machine model based on empirical mode decomposition to predict the wind speed. Before the wind speed forecasting with RVM...

Wind power point forecasting is the primary method to deal with its uncertainty. However, in many applications, the probabilistic interval of wind power is more useful than traditional point forecasting. Methods to determine the probabilistic interval of wind power point forecasting value is very essential to power system operations. Based on the bootstrap method, this paper proposed a wavelet ...

Modern variable-speed wind turbines, although decoupled from the system frequency, can respond to significant power imbalances through power electronic controls as synthetic inertial or governor-like droop responses. However, frequency response capabilities from wind power plant cannot be considered a direct replacement for traditional frequency responsive services. Before such capabilities sho...

Inherent in all empirical estimates of the geophysical model function (which relates the wind t o the normalized radar cross section, NRCS, of the ocean surface) is uncertainty caused by parameters not included in the empirical model. This can be thought of as variability in the NRCS for given wind conditions. W h e n the estimated variability is included in the max imum likelihood wind retriev...

Integration of wind units into power system introduce various sources of technical and economical challenges to operation of power system due to its inherent uncertainty and variability. In operation of power system, stochastic wind generation can affect on the system security. In this paper, optimal security-constrained unit commitment (SCUC) in presence of demand response program (DR) based o...

This paper presents a novel probabilistic optimization algorithm for simultaneous active and reactive power dispatch in power systems with significant wind power integration. Two types of load and wind-speed uncertainties have been assumed that follow normal and Weibull distributions, respectively. A PV bus model for wind turbines and the wake effect for correlated wind speed are used to achiev...

In this paper we present both night and day thermospheric wind observations made with the Second-generation, Optimized, Fabry-Perot Doppler Imager (SOFDI), a novel triple-etalon Fabry-Perot interferometer (FPI) designed to make 24-h measurements of thermospheric winds from OI 630-nm emission. These results were obtained from the northeastern United States and from under the magnetic equator at ...

Representation of surface roughness effects on aeolian sediment transport is a key source of uncertainty in wind erosion models. Drag partitioning schemes are used to account for roughness by scaling the soil entrainment threshold by the ratio of shear stress on roughness elements to that on the vegetated land surface. This approach does not explicitly account for the effects of roughness confi...