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Probabilistic evaluation of interconnectable capacity for wind power generation
Authors:Kenji Kashima  Masakazu Kato  Jun-ichi Imura  Kazuyuki Aihara
Institution:1. Kyoto University, 36-1, Yoshida Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan
2. Tokyo Denki University, 5, Senju-Asahi-cho, Adachi-ku, Tokyo, 120-8551, Japan
3. Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro, Tokyo, 145-0062, Japan
4. The University of Tokyo, 4-6-1, Komaba, Meguro, Tokyo, 153-8505, Japan
Abstract:We propose a novel framework for probabilistic evaluation of interconnectable capacity for wind power generation. This is based on mathematical modeling of load frequency control systems, which captures their nonlinear (saturation and rate limiting) dynamical characteristics, and stochastic uncertainty of wind power output deviation. The method called stochastic linearization is used to analyze resulting power quality. The effectiveness of the proposed method is examined by numerical simulation.
Keywords:
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