Title :
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
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;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385950
