Probabilistic ramp detection and forecasting for wind power prediction

• Type: Chapter or Part of a Book
• Date: 2013

Authors

C. Ferreira (Author) Other; J. Gama (Author) Other; Vladimiro Miranda (Author) FEUP; Audun Botterud (Author) Other

Book

Title: Reliability and Risk Evaluation of Wind Integrated Power Systems

Pages: 29-44

Indexing

Scopus - 20 Citations

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-00Q-VPH

DOI: 10.1007/978-81-322-0987-4_3

Abstract (EN): This chapter proposes a new way to detect and represent the probability of ramping events in short-term wind power forecasting. Ramping is one notable characteristic in a time series associated with a drastic change in value in a set of consecutive time steps. Two properties of a ramp event forecast, that is, slope and phase error, are important from the point of view of the system operator (SO): they have important implications in the decisions associated with unit commitment or generation scheduling, especially if there is thermal generation dominance in the power system. Unit commitment decisions, generally taken some 12-48 h in advance, must prepare the generation schedule in order to smoothly accommodate forecasted drastic changes in wind power availability. © Springer India 2013.

Language: English

Type (Professor's evaluation): Scientific