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Probabilistic assessment of power system transient stability incorporating SMES

机译:结合SMES的电力系统暂态稳定的概率评估。

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This paper presents a stochastic-based approach to evaluate the probabilistic transient stability index of the power system incorporating the wind farm and the SMES. Uncertain factors include both sequence of disturbance in power grid and stochastic generation of the wind farm. The spectrums of disturbance in the grid as the fault type, the fault location, the fault clearing time and the automatic reclosing process with their probabilities of occurrence are used to calculate the probability indices, while the wind speed statistics and parameters of the wind generator are used in a Monte Carlo simulation to generate samples for the studies. With the proposed method, system stability is "measured". Quantitative relationship of penetration level, SMES coil size and system stability is established. Considering the stability versus coil size to be the production curve, together with the cost function, the coil size is optimized economically.
机译:本文提出了一种基于随机的方法来评估包含风电场和SMES的电力系统的概率暂态稳定指数。不确定因素包括电网干扰顺序和风电场的随机生成。用电网扰动频谱作为故障类型,故障位置,故障清除时间和自动重合闸过程及其发生的概率来计算概率指标,而风速统计数据和风力发电机的参数为在蒙特卡洛模拟中使用以生成研究样本。使用所提出的方法,可以“测量”系统的稳定性。建立了熔深,SMES线圈尺寸和系统稳定性的定量关系。将稳定性与线圈尺寸的关系视为生产曲线以及成本函数,可以经济地优化线圈尺寸。

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