当前位置:
X-MOL 学术
›
arXiv.cs.SY
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Probabilistic Stability Assessment for Active Distribution Grids
arXiv - CS - Systems and Control Pub Date : 2021-06-17 , DOI: arxiv-2106.09624 Sebastian Liemann, Lia Strenge, Paul Schultz, Holm Hinners, Johannis Porst, Marcel Sarstedt, Frank Hellmann
arXiv - CS - Systems and Control Pub Date : 2021-06-17 , DOI: arxiv-2106.09624 Sebastian Liemann, Lia Strenge, Paul Schultz, Holm Hinners, Johannis Porst, Marcel Sarstedt, Frank Hellmann
This paper demonstrates the concept of probabilistic stability assessment on
large-signal stability in the use case of short circuits in an active
distribution grid. Here, the concept of survivability is applied, which extends
classical stability assessments by evaluating the stability and operational
limits during transients for a wide range of operating points and failures. For
this purpose, a free, open-source, and computationally efficient environment
(Julia) for dynamic simulation of power grids is used to demonstrate its
capabilities. The model implementation is validated against established
commercial software and deviations are minimal with respect to power flow and
dynamic simulations.The results of a large-scale survivability analysis reveal
i) a broad field of application for probabilistic stability analysis and ii)
that new non-intuitive stability correlations can be obtained. Hence,the
proposed method shows strong potential to efficiently conduct power system
stability analysis in active distribution grids.
中文翻译:
主动配电网的概率稳定性评估
本文展示了在有源配电网短路用例中对大信号稳定性进行概率稳定性评估的概念。在这里,应用了生存能力的概念,它通过评估各种操作点和故障的瞬态期间的稳定性和操作限制来扩展经典稳定性评估。为此,我们使用了一个免费、开源且计算效率高的电网动态仿真环境 (Julia) 来演示其功能。该模型实施已针对已建立的商业软件进行了验证,并且在潮流和动态模拟方面的偏差最小。大规模生存性分析的结果表明 i) 概率稳定性分析的广泛应用领域和 ii) 可以获得新的非直观稳定性相关性。因此,所提出的方法显示出在有源配电网中有效地进行电力系统稳定性分析的强大潜力。
更新日期:2021-06-18
中文翻译:
主动配电网的概率稳定性评估
本文展示了在有源配电网短路用例中对大信号稳定性进行概率稳定性评估的概念。在这里,应用了生存能力的概念,它通过评估各种操作点和故障的瞬态期间的稳定性和操作限制来扩展经典稳定性评估。为此,我们使用了一个免费、开源且计算效率高的电网动态仿真环境 (Julia) 来演示其功能。该模型实施已针对已建立的商业软件进行了验证,并且在潮流和动态模拟方面的偏差最小。大规模生存性分析的结果表明 i) 概率稳定性分析的广泛应用领域和 ii) 可以获得新的非直观稳定性相关性。因此,所提出的方法显示出在有源配电网中有效地进行电力系统稳定性分析的强大潜力。