Title :
Wind power variability model Part II - Probabilistic power flow
Author :
Mur-Amada, Joaquín ; Bayod-Rújula, Ángel A.
Author_Institution :
Zaragoza Univ., Zaragoza
Abstract :
The classification of states can be based on power output, "unperturbed wind speed" and wind speed prediction, depending on available data and aim of the wind farm model. The performance matrix in Standard IEC 61400-12-3 can be used as emission matrix to relate wind and power in a wind farm using a hidden Markov model. The wind farm model can be used also as time interpolation between horizons of wind prediction or to account switching events such as sudden disconnection of the farm. The basic workflow to compute a stochastic power flow based in Markov model is presented. A simplified, steady state, quadratic model of the wind farm is shown for justifying the approximation of networks to PQ nodes and the interpolation between states. This quadratic model can be used also to estimate the reactive power for steady state.
Keywords :
IEC standards; Markov processes; interpolation; reactive power; wind power; hidden Markov model; probabilistic power flow; reactive power; standard IEC 61400-12-3; stochastic power flow; time interpolation; unperturbed wind speed; wind farm; wind power variability; wind prediction; wind speed prediction; Hidden Markov models; IEC standards; Interpolation; Load flow; Predictive models; Steady-state; Wind energy; Wind farms; Wind forecasting; Wind speed;
Conference_Titel :
Electrical Power Quality and Utilisation, 2007. EPQU 2007. 9th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-84-690-9441-9
Electronic_ISBN :
978-84-690-9441-9
DOI :
10.1109/EPQU.2007.4424139