wind power generation is variable and uncertain. in the power systems with high penetration of wind power, determination of equivalent operating reserve is the main concern of systems operator. in this paper, a model is proposed to determine operating reserves in simultaneous market clearing of energy and reserve by stochastic programming based on scenarios generated via monte carlo simulation ...

Participation of wind energy in the day-ahead electricity market implies large deviations from the initial schedule, which leads to costs for the wind farm owner. By means of short-term wind power prediction programs, the contracted energy can be updated in adjustment spot markets, reducing the power deviations and increasing the total revenue for wind power producers. Taking into account the d...

The integration of wind farms in power networks has become an important problem. As electricity cannot be preserved because of the highest cost of storage, electricity production must following market demand, necessarily. Short-long term wind forecasting over different time steps is becoming an important process for the management of wind farms. Time series modelling of wind speeds is based on ...

The purpose of this paper is to demonstrate the validity of mesoscale numerical weather prediction modeling near the complex terrain at Aubrey Cliffs, Arizona, and to investigate the influence of the outer domain size employed on the computational results. Mesoscale Modeling v5 (MM5) was implemented to produce numerical wind data that was compared with experimental wind data. The results obtain...

The aim of the European Project ANEMOS is to develop accurate and robust models that substantially outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced statistical, physical and combined modelling approaches were developed for this purpose. Priority was given to methods for on-line uncertainty and prediction risk assessment. An integrated softwa...

This paper studies the application of Kalman filtering as a post-processing method in numerical predictions of wind speed. Two limited-area atmospheric models have been employed, with different options/capabilities of horizontal resolution, to provide wind speed forecasts. The application of Kalman filter to these data leads to the elimination of any possible systematic errors, even in the lowe...

-Electricity plays an important role in human civilization. Every aspect of human life and its well being depends on the energy conversion into electricity and utilize it for optimal performance in all kinds of industries. Wind energy is one such important energy being used in the world for producing electricity. However, wind speed is not predictable and thus the wind energy conversion is not ...