Title :
Stochastic Modeling of Multi-area Wind Power Production
Author :
Papavasiliou, Anthony ; Oren, Shmuel S. ; Aravena, Ignacio
Abstract :
In this paper we present a stochastic model for multi-area wind production that is used for planning reserves in transmission-constrained systems with large amounts of integrated renewable power supply. The stochastic model accounts for the inter-temporal and spatial dependencies of multi-area wind power production. Results are presented for two case studies of the California and the German power system.
Keywords :
power generation planning; stochastic processes; wind power plants; California power system; German power system; integrated renewable power supply; multiarea wind power production; planning reserves; stochastic modeling; transmission-constrained systems; Autoregressive processes; Data models; Mathematical model; Noise; Production; Wind power generation; Wind speed; power system simulation; time series analysis; wind power generation;
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.2015.315