Wind power integration studies using a multi-stage stochastic electricity system model

Author

Meibom, P. ; Barth, R. ; Brand, H. ; Weber, C.

Author_Institution

Risoe Int. Lab., Roskilde

fYear

2007

fDate

24-28 June 2007

Firstpage

1

Lastpage

4

Abstract

A large share of integrated wind power causes technical and financial impacts on the operation of the existing electricity system due to the fluctuating behaviour and unpredictability of wind power. The presented stochastic electricity market model optimises the unit commitment considering four kinds of electricity markets (e.g. a spot and balancing market) and taking into account the stochastic behaviour of the wind power generation and of the prediction error. It can be used for the evaluation of varying electricity prices and system costs due to wind power integration and for the investigation of integration measures.

Keywords

power generation dispatch; power generation economics; power generation scheduling; power markets; stochastic processes; wind power plants; electricity market model; electricity prices; electricity system; multistage stochastic electricity system model; system costs; unit commitment; wind power integration studies; Costs; Electric variables measurement; Electricity supply industry; Power measurement; Power system modeling; Predictive models; Stochastic processes; Stochastic systems; Wind energy; Wind power generation; electricity markets; recourse planning; stochastic optimisation; unit commitment; wind power;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2007. IEEE

Conference_Location

Tampa, FL

ISSN

1932-5517

Print_ISBN

1-4244-1296-X

Electronic_ISBN

1932-5517

Type

conf

DOI

10.1109/PES.2007.385950

Filename

4275716