Increasing Power Wind Generation through Optimization of the Dynamics of Control System Based on Accurate Forecasting of the Very Short-Term Wind

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Adriano Carvalho (Author) FEUP; Paulo C. Costa (Author) FEUP; António P. Martins (Author) FEUP

Conference proceedings International

Title: DEWEK 2008

Pages: 1-4

German Wind Energy Conference, DEWEK 2008

Bremen, Germany, 26-27 November

Indexing

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Control engineering > Automation

Other information

Abstract (EN): Nowadays wind energy has become one of the alternative energy sources reaching significant figures for the grid power. The electric systems present stability problems when those have to integrate a large volume of wind generation as well as the effect of the unpredictability of wind generation output put some problems on the dispatch processes. So it became necessary to improve the wind power prediction systems. Basically there are two main approaches: statistical methods and physical ones. Usually the time horizon covered by wind forecasts is given according to scheduling schemes of the conventional power plants and conditions on electricity markets which are typically of the order of one to two days ahead. The time horizon required for wind forecasting can be divided in different time scales: very-short time for prediction in the next hour, short-term for a day-ahead, medium term extend the range for 3 to 5 days and long-term 5-7 days in advance for maintenance planning of large power plant components, wind turbines or transmission systems. Persecuting this goal the authors made investigation on wind forecasting methods for very short-term window trying to find the standard of the wind speed behaviour in this time scale. The objective is to have in advance an accurate behaviour for the next seconds to 2 hours and to incorporate these data into the wind park controller.

Language: Portuguese

Type (Professor's evaluation): Scientific