Stochastic Cascading Failure Model With Uncertain Generation Using Unscented Transform
Stochastic Cascading Failure Model With Uncertain Generation Using Unscented Transform
复制标题
使用无味变换的不确定生成的随机级联故障模型
DOI：
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复制
发表时间：
2020
影响因子：
8.8
通讯作者：
Zhifang Wang
中科院分区：
文献类型：
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作者：
Mir Hadi Athari;Zhifang Wang
提出了一种新的基于无迹变换（UT）的全交流潮流随机连锁故障（CF）模型，用于电网脆弱性分析。准稳态（QSS）模型是建立在以前的直流潮流模型，结合几个增强。我们的分析表明，直流潮流不能提供一个准确的估计下的流动过程中高度可变的发电，因此可能低估的严重性的级联。全交流潮流约束的结合，使我们能够访问CF期间的电压曲线动态，以模拟电网中的电压相关故障。欠压减载继电器被建模沿着与一个随机的时间逆过载继电器，以准确地模拟保护系统的响应。此外，更现实的假设被认为是在建模中的风电渗透使用地理信息的电网拓扑结构和风势图为给定的地理区域。在一个500节点的综合网络中，在不同的运行条件下，检验了基于UT方法的潮流过程估计的准确性。该模型是对历史停电数据和广泛使用的模型在文献中显示类似的统计模式停电规模的基准。
This paper proposes a novel stochastic cascading failure (CF) model with full ac power flow using the unscented transform (UT) for power girds vulnerability analysis. The quasi-steady state (QSS) model is built upon previous dc power flow model by incorporating several enhancements. Our analysis shows that dc power flow does not provide an accurate estimation of the flow process under highly variable generation thus may underestimate the severity of the cascades. The incorporation of full ac power flow constraints allows us to access voltage profiles dynamics during CF in order to simulate voltage-related failures in the grid. The under-voltage load shedding relays are modeled along with a stochastic time-inverse overload relay to accurately simulate the protective system response. In addition, more realistic assumptions are considered in the modeling of wind power penetration using geographical information of grid topology and wind potential map for a given geographical area. The accuracy of the estimated flow process based on UT method is examined under different operating conditions in a 500-bus synthetic network. The proposed model is benchmarked against the historical blackout data and widely used models in the literature showing similar statistical patterns of blackout size.