Probabilistic Evaluation Method of Interconnectable Capacity for Wind Power Generation Using Actual Data

Authors

  • T. Yoshida Author
  • K. Kashima Author
  • M. Kato Department of Electrical and Electronic Engineering, Tokyo Denki University, 5, Senju-Asahi-cho, Adachi-ku, Tokyo, Japan, 120-8551 (Japan) Author

DOI:

https://doi.org/10.24084/repqj13.237

Keywords:

Wind power generation, Interconnectable capacity, Probabilistic method, Stochastic linearization

Abstract

New analysis method of power quality using stochastic linearization is proposed to evaluate stochastically interconnectable capacity for wind power generation. This is based on mathematical model of load frequency control systems, which involve nonlinear and dynamic characteristics. Nonlinear generator model is linearized to analyse power quality through stochastic linearization. However, accuracy evaluation of model due to linearization has not been examined using actual data. In this paper, we stochastically evaluate accuracy of linearized model and interconnectable capacity for wind power generation.

Author Biographies

  • T. Yoshida

    Department of Electrical and Electronic Engineering,

    Tokyo Denki University, 5, Senju-Asahi-cho, Adachi-ku, Tokyo, Japan, 120-8551 (Japan)

  • K. Kashima

    Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan, 606-8501 (Japan)

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Published

2024-01-12

Issue

Vol. 13 No. 1 (2015)

Section

Articles