论文标题
电力系统的概率框架在有可再生风的存在下大消耗全球不稳定风险评估
A Probabilistic Framework for Power System Large-Disturbance Global Instability Risk Assessment in the Presence of Renewable Wind Generation
论文作者
论文摘要
传统电力系统中大规模风能整合的需求不断增加，带来了很多挑战。其中之一是当受到大型干扰（例如故障）时，电力系统的稳定性。本文提出了一个基于概率的风险框架，用于计算全球不稳定性指数，其中包含角度，电压和频率稳定性，以实现大型干扰。此外，还观察到高风渗透对该指数的影响。使用Digsilent PowerFactory软件在IEEE 39-BUS测试系统上进行案例研究和相关模拟。结果表明，较高的风向渗透增强了电力系统的全球稳定性。此外，在全球不稳定性指数上研究了不断变化的系统生成和负载的影响。
The increasing demand of large scale wind integration in the conventional power system brings a lot of challenges. One of them is the stability of the power system when subjected to a large disturbance, such as a fault. This paper proposes a probabilistic risk-based framework for computing a global instability index, incorporating angle, voltage, and frequency stability, for a large disturbance. Moreover, the impact of high wind penetration on this index is also observed. Case studies and associated simulations are conducted on the IEEE 39-bus test system using DIgSILENT PowerFactory software. The results show that higher penetration of wind generation enhances the global stability of the power system. Moreover, the impact of changing system generation and load is studied on the global instability index.
