Title :
Validating wind field models for power system impact studies
Author :
Plumley, C. ; Hill, D. ; McMillan, David ; Bell, Keith ; Infield, David
Author_Institution :
Univ. of Strathclyde, Glasgow, UK
Abstract :
To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create a wind field model and simulate wind data that can then be used to determine power outputs. There are a large number of models available, however often these models are not adequately validated. This paper proposes a number of criteria that all wind field models should be validated against and the methods that can be used to do this.
Keywords :
wind power plants; electrical power system impact studies; wind data simulation; wind field model validation; wind plant; power system impact; wind resource;
Conference_Titel :
Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
Conference_Location :
Hangzhou
Electronic_ISBN :
978-1-84919-673-4
DOI :
10.1049/cp.2012.1766