Abstract
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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Li, X., Pei, J., Du, D. (2010). A Combined Iteration Method for Probabilistic Load Flow Calculation Applied to Grid-Connected Induction Wind Power System. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_32
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DOI: https://doi.org/10.1007/978-3-642-15621-2_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15620-5
Online ISBN: 978-3-642-15621-2
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