While installing wind power into the liberalized power market can reduce the operation and fuel costs of the power system, it also increases the imbalance cost and need for reserve. Due to this contradictory, there is a need for planning the amount of wind power in the power system. This paper proposes a model following American power market rules to find the optimal participation of wind power...

The vertical wind speed profile has to be know for many wind power applications. Although the large effect of the thermal stratification is well known normaly the neutral logarithmic wind profile is used, which leads to large errors in the determination of the needed wind speed. In this work a parameterisation of DeBruin for the thermal stratification is testet with measured data from the 200 m...

In order to meet the needs of wind speed prediction in wind farms, we consider the influence of random atmospheric disturbances on wind variations. Considering a simplified fluid convection mode, a Lorenz system can be employed as an atmospheric disturbance model. Here Lorenz disturbance is defined as the European norm of the solutions of the Lorenz equation. Grey generating and accumulated gen...

Reliability is becoming more and more important as the size and number of installed Wind Turbines (WTs) increases. Very high reliability is especially important for offshore WTs because the maintenance and repair of such WTs in case of failures can be very expensive. WT manufacturers need to consider the reliability aspect when they design new power converters. By designing the power converter ...

Wind power generation is characterized by its variability and uncertainty in the wind speed. Due to the irregular nature of wind power production, accurate prediction of wind speed is essential for its application in optimum power flow, transmission congestion, economic load dispatch and electricity market clearing prices. Wind speed of a wind farm is affected by conditions of the environment i...

An atmospheric boundary layer wind tunnel was used to survey the variation in local wind conditions over a region of the Altamont Pass, California, containing two wind farms. Meteorological data combined with the wind tunnel results were used to predict the power output of the wind farms every half hour over a oneyear period from July 2001 to June 2002. It was observed that the power production...

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....

Short-term wind speed and wind power forecasts (for a 72 h period) are obtained using a nonlinear autoregressive exogenous artificial neural network (ANN) methodology which incorporates either numerical weather prediction or high-resolution computational fluid dynamics wind field information as an exogenous input. An ensemble approach is used to combine the predictions from many candidate ANNs ...

Developing a suitable framework for real-time optimal power flow (RT-OPF) is of utmost importance for ensuring both optimality and feasibility in the operation of energy distribution networks (DNs) under intermittent wind energy penetration. The most challenging issue thereby is that a large-scale complex optimization problem has to be solved in real-time. Online simultaneous optimization of th...