Use of a stochastic process to sample wind power curves in planning studies

2007 IEEE Lausanne POWERTECH, Proceedings

Volumn , Issue , 2007, Pages 663-670

  Doquet, Michel ^a  

^a RTE ^*  (France)

Author keywords

Monte Carlo methods; Planning; Sampling methods; Stochastic processes; Wind power generation

Indexed keywords

COMPUTER NETWORKS; ELECTRIC NETWORK ANALYSIS; ELECTRIC POWER SYSTEMS; RENEWABLE ENERGY RESOURCES; STOCHASTIC PROGRAMMING;

MONTE CARLO METHODS; PLANNING; SAMPLING METHODS; STOCHASTIC PROCESSES; WIND POWER GENERATION;

WIND POWER;

EID: 50849144314     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PCT.2007.4538395     Document Type: Conference Paper

References (7)

1. Hiring, Jordan, Garver (1991, Jan). Application of Monte Carlo simulation to multi-area reliablility evaluations. IEEE Computer Applications in Power, Vol.4.
2. Karlin, Taylor (1981). A second course in stochastic processes Academic Press, Orlando
3. Bibby, Skovgaard, Sorensen (2005, Apr) Diffusion-type models with given marginal distribution and autocorrelation function Bernoulli Journal, Vol 11.2
4. Gihman, Skorohod (1972) Stochastic Differential Equations Springer-Verlag , Berlin
5. Institut für Solare Energieversorgungstechnik http://www.iset.uni- kassel.de
6. Red Electrica de España http://www.ree.es El systema electrico Español > Produccion eolica en tiempo real
7. Matsumoto, Nishimura (1998, Jan). Mersenne Twister : a 623-dimensionally equidistributed uniform pseudorandom number generator ACM Transactions on Modeling and Computer Simulation,pp3-30 http://www.math.hiroshima-u.ac.jp