Büttner Anna, Hellmann Frank
Complexity Science, Potsdam-Institute for Climate Impact Research, Potsdam, Germany.
PLoS One. 2025 Aug 25;20(8):e0322328. doi: 10.1371/journal.pone.0322328. eCollection 2025.
This study applies the Probabilistic Behavioral Tuning (ProBeTune) framework to transient power grid simulations to address challenges posed by increasing grid complexity. ProBeTune offers a probabilistic approach to model aggregation, using a behavioral distance measure to quantify and minimize discrepancies between a full-scale system and a simplified model. We demonstrate the effectiveness of ProBeTune on the Nordic5 (N5) test case, a model representing the Nordic power grid with complex nodal dynamics and a high share of RESs. We substantially reduce the complexity of the dynamics by tuning the system to align with a reduced swing-equation model. We confirm the validity of the swing equation with tailored controllers and parameter distributions for capturing the essential dynamics of the Nordic region. This reduction could allow interconnected systems like the Central European power grid to treat the Nordic grid as a single dynamic actor, facilitating more manageable stability assessments. The findings lay the groundwork for future research on applying ProBeTune to microgrids and other complex sub-systems, aiming to enhance scalability and accuracy in power grid modeling amidst rising complexity.
本研究将概率行为调优（ProBeTune）框架应用于暂态电网仿真，以应对电网日益复杂所带来的挑战。ProBeTune提供了一种用于模型聚合的概率方法，使用行为距离度量来量化并最小化全尺寸系统与简化模型之间的差异。我们在北欧5（N5）测试案例中展示了ProBeTune的有效性，该测试案例是一个代表具有复杂节点动态和高比例可再生能源（RESs）的北欧电网的模型。通过调整系统使其与简化的摇摆方程模型对齐，我们大幅降低了动态复杂性。我们通过定制控制器和参数分布来确认摇摆方程对于捕捉北欧地区基本动态的有效性。这种简化可以使像中欧电网这样的互联系统将北欧电网视为一个单一的动态主体，便于进行更易于管理的稳定性评估。这些发现为未来将ProBeTune应用于微电网和其他复杂子系统的研究奠定了基础，旨在在日益复杂的情况下提高电网建模的可扩展性和准确性。
