Accurate Reduced Order Models for Coherent Synchronous Generators
Accurate Reduced Order Models for Coherent Synchronous Generators
复制标题
相干同步发电机的精确降阶模型
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Enrique Mallada
中科院分区：
文献类型：
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作者：
Hancheng Min;F. Paganini;Enrique Mallada
准确建模发电机对功率扰动的频率响应是评估电网频率控制性能的关键。一种广泛使用的技术是将相干发电机的频率响应聚合到单个有效机器中。以前的工作已经表明，最佳的选择惯性和阻尼系数的有效发电机是通过添加在所有相应的发电机参数。然而，在涡轮机动态的存在下，适当地选择涡轮机的时间常数是具有挑战性的。通过利用最近的结果紧密连接的网络的动态集中，我们表明，聚合动力学是高阶的，因此不能准确地表示由一台机器。相反，我们开发了一个层次结构的降阶模型-平衡截断的基础上-准确地近似的总系统响应。我们的结果优于现有的聚合技术，可以证明，单调提高近似的层次顺序的增加。
Accurately modeling generator frequency response to power disturbances is essential for assessing frequency control performance in power grids. A widely used technique is to aggregate the frequency response of coherent generators into a single effective machine. Previous work has demonstrated that the best choice of inertial and damping coefficients for the effective generator is obtained by adding among all the corresponding generator parameters. However, in the presence of turbine dynamics, the proper choice of turbine time constants is challenging.We introduce a novel framework to approximate the aggregate frequency dynamics of coherent synchronous generators. By leveraging recent results on dynamics concentration of tightly-connected networks, we show that the aggregate dynamics are high-order, therefore cannot be accurately represented by a single machine. Instead, we develop a hierarchy of reduced order models -based on balanced truncation- that accurately approximate the aggregate system response. Our results outperform existing aggregation techniques and can be shown to monotonically improve the approximation as the hierarchy order increases.
大规模紧密连接网络的动力学集中
DOI：
10.1109/cdc40024.2019.9029796
发表时间：
2019
期刊：
Conference on Decision and Control
影响因子：
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作者：
Min, Hancheng;Mallada, Enrique
通讯作者：
Mallada, Enrique