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    Continuous-Time Stochastic State-Space Modeling of Non-Stationary Power System Uncertainty: A Data-Driven Systematic Realization Method

    点击次数:

    影响因子:7.6

    DOI码:10.1109/TPWRS.2024.3397532

    所属单位:南航

    发表刊物:IEEE Transactions on Power Systems

    摘要:This paper proposes a systematic stochastic state-space modeling method for imposing desired statistics of actual measured data of arbitrary non-stationary power system uncertainty. We solve the difficulties of accurately modeling various stochastic uncertainties including complex behaviors in power systems such as the anomalous jumps of power oscillations through developing two theorems and four algorithms. The validity of proposed scheme is verified by performing simulations using real wind speed data, electricity consumption data, and hydropower data.

    论文类型:期刊论文

    学科门类:工学

    文献类型:J

    卷号:40

    期号:1

    页面范围:1037-1048

    是否译文:

    发表时间:2025-01-10

    收录刊物:EI、SCI、SCIE