In this paper, we investigate the representation of wind power forecasting (WPF) uncertainty in the unit commitment (UC) problem. While deterministic approaches use a point forecast of wind power output, WPF uncertainty in the stochastic UC alternative is captured by a number of scenarios that...

Wind energy is currently one of the types of renewable energy with a large generation capacity. However, since the operation of wind power generation is challenging due to its intermittent characteristics, forecasting wind power generation efficiently is essential for economic operation. This...

In this paper, wind power generators are being incorporated in the multiobjective economic emission dispatch problem which minimizes wind-thermal electrical energy cost and emissions produced by fossil-fueled power plants, simultaneously. Large integration of wind energy sources necessitates an...

Wind power represents a significant percentage of the European generation mix and this will increase to fulfill the renewable energy targets. Different balancing rules are applied to wind power among the countries; for instance, to what extent wind power producers (WPPs) are responsible for the...

Purpose – Considers factors effecting environmental change in America, focusing on communication and wind power. Design/methodology/approach – This briefing is prepared by an independent writer who adds their own impartial comments. Findings – Surveys show that the average American is now...

As wind power penetration grows, the amount of reserve needed on the system also grows, due to the increases in the uncertainty of wind power, which grows larger as forecast horizon increases. By scheduling the system more often the amount of extra reserve to be carried to cater for wind...

Electricity markets are currently evolving to accommodate large scale penetration of wind generation. In this research, potential changes to the classification and role of windgenerators in the Single Electricity Market (SEM), the market for Northern Ireland and the Republic of Ireland, are...

We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energyfacilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 athorizontal resolutions of 10 and 3 km. A new adaptive...

To meet the increasing global demand for renewable energy such as wind energy, more and more new wind parks are installed worldwide. Finding a suitable location, however, requires a detailed and often costly analysis of the local wind conditions. Plain average wind speed maps cannot provide a...