Static Voltage Stability Assessment Using Probabilistic Power Flow to Determine the Critical PQ Buses

Nowadays, due to increased consumption and operation of electric power systems close to their stability boundaries, power systems may become unstable during severe disturbances. So, it is very important to determine the stability margin under different conditions. In this paper, the static voltage stability of an interconnected power system considering load and generation uncertainties is evaluated using probabilistic power flow. The Monte Carlo Simulation method is used to generate the probabilistic power flow scenarios. Then, the expected static voltage stability index and probability of stability for all of the PQ buses are obtained. Also, the standard deviations of the stability indexes are calculated. Finally, the critical PQ nodes are determined under given disturbance. The study has been carried out on ۳۹-Bus New England and ۱۱۸-bus IEEE test systems and results are presented. 静态电压稳定性评估利用概率潮流确定临界PQ客车抽象如今，由于消费增加，并接近其稳定边界电力系统的运行，电力系统可以在发生严重故障时变得不稳定。所以，为了确定不同条件下的稳定性裕度是非常重要的。在本文中，一个相互联系的电力系统静态电压稳定考虑负荷和发电的不确定性是用概率潮流计算。蒙特卡罗仿真方法被用于产生概率功率流场景。然后，得到所有PQ公交车的预计静态电压稳定指标和稳定的概率。此外，稳定性指标的标准偏差被计算。最后，该临界PQ节点给出干扰下测定。该研究已在۳۹总线新英格兰和۱۱۸总线的IEEE测试系统进行，并且结果。

Keywords:

Load Generation Uncertainty , en , Monte Carlo Simulation (MCS) , Probabilistic Power Flow (PPF) , Static Voltage Stability (SVS)