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Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model

机译:基于随机响应谱法和ARMA-GARCH模型的随机动态潮流分析

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Nowadays, renewable energy has become a very viable alternative solution to provide electricity. However, the uncertainty of renewable energy changes traditional issues in operation and control of power system. This paper proposes a Stochastic Dynamic Power Flow Analysis to evaluate state variables' probability distribution at any time t. Stochastic process of renewable energy is modeled and simulated by ARMA-GARCH model. The Stochastic Response Surface Method is also applied to increase computational efficiency with the same accuracy as Monte Carlo simulation. Stochastic Dynamic Power Flow Analysis is applied to IEEE 30-bus system and time dependent probability distribution of voltage, frequency and network loss will be analyzed.
机译:如今,可再生能源已成为提供电力的最可行的替代解决方案。然而,可再生能源的不确定性改变了电力系统运行和控制的传统问题。本文提出了一种随机动态功率流分析,以便在任何时间达到状态变量的概率分布。通过ARMA-GARCH模型建模和模拟可再生能源的随机过程。随机响应表面方法还应用于以与蒙特卡罗模拟相同的准确度提高计算效率。随机动态功率流量分析应用于IEEE 30总线系统和电压,频率和网络损耗的时间相关概率分布。

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