A combined iteration method for probabilistic load flow calculation applied to grid-connected induction wind power system. (English)
Li, Kang (ed.) et al., Life system modeling and intelligent computing. International conference on life system modeling and simulation, LSMS 2010, and international conference on intelligent computing for sustainable energy and environment, ICSEE 2010, Wuxi, China, September 17‒20, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-15620-5/pbk). Lecture Notes in Computer Science 6328, 290-296 (2010).
Summary: Taking into account the uncertainties of load and wind power outputs, this paper proposes a combined iteration method for probabilistic load flow (PLF) applied to grid-connected induction wind power system. A probabilistic wind farm model is first developed. Then, the slip of induction generator along with the nodal voltages is corrected at each iteration of the PLF calculation, leading to a novel unified PLF iteration method for wind power generation system. Finally, Monte Carlo simulation (MCS) combined with Latin hypercube sampling (LHS) is used to perform the PLF. Simulation results show the effectiveness of the proposed method.
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