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Effects of wind generation intermittency and volatility on power system transient stability

机译:风力发电间歇性和波动性对电力系统暂态稳定的影响

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摘要

The transient stability analysis incorporating wind power intermittency and volatility is studied in this study. The wind turbines with doubly fed induction generator (DFIG) and direct-driven permanent magnet synchronous generator (PMSG) are considered, respectively, during analysis. In modelling of DFIG and PMSG, the default GE wind turbine model and the Western Electricity Coordinating Council generic wind turbine model are employed, respectively. Based on the Jensen model, which is applied to describe the wake effect in a wind farm located on flat terrain, an equivalent simplified model of a wind farm is established regarding wind farm layout. On the basis of the built wind farm model, the Monte Carlo simulation technique combined with two evaluation indices, namely angle-based margin index and critical clearing time (CCT) is applied on the IEEE 10-generator-39-bus test system and a real-sized China-Jiangxi power grid as a benchmark to exploit and explore the effects of wind power intermittency and volatility on power system transient stability. The frequency distributions of transient stability evaluation index, CCT, probability of system transient instability and the range of wind speeds causing system transient instability are simulated. In addition, the influence of wake effect on transient stability is discussed as well.
机译:本研究研究了结合风电间歇性和波动性的暂态稳定分析。在分析过程中,分别考虑了带有双馈感应发电机(DFIG)和直接驱动永磁同步发电机(PMSG)的风力涡轮机。在DFIG和PMSG的建模中,分别采用了默认的GE风力发电机模型和Western Electricity Coordination Council通用风力发电机模型。基于Jensen模型,该模型用于描述位于平坦地形上的风电场的尾流效应,建立了关于风电场布局的等效风电场简化模型。在建立的风电场模型的基础上,将蒙特卡罗模拟技术与基于角度的余量指数和临界清除时间(CCT)两种评估指标相结合,应用于IEEE 10发电机39总线测试系统和一个以实际大小的江西电网为基准,以开发和探索风电间歇性和波动性对电力系统暂态稳定的影响。模拟了暂态稳定评估指标的频率分布,CCT,系统暂态不稳定的概率以及引起系统暂态不稳定的风速范围。此外,还讨论了唤醒效应对瞬态稳定性的影响。

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  • 来源
    《Renewable Power Generation, IET》 |2014年第5期|509-521|共13页
  • 作者单位

    The National Key Laboratory of Power Systems in Shenzhen, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, People's Republic of China;

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