A New Power System Frequency Response Model with Different Types of Generator Units

2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES) Pub Date : 2022-09-23 DOI:10.1109/AEES56284.2022.10079681

Xiaojing Chen, Haiying Dong, Yu Zhang

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Abstract

In order to accurately and quickly estimate the system frequency characteristics in large power grid after a disturbance, the paper presents a system frequency response modeling method based on the data-driven method. Firstly, the same type of turbine-governor models in system is aggregated into a single turbine-governor system by means of the parameter identification method. Then, the $\boldsymbol{H}_{\infty}$ norm based on the state space equation is used to reduce the order, and different types of turbine-governor systems with the same order are obtained. Finally, by using the idea of parameter aggregation, a first order turbine-governor system is obtained. According to the equivalent first-order model, the rate of change of frequency (RoCoF), the frequency nadir and the steady frequency after a disturbance can be quickly and accurately calculated. The method is validated in IEEE-39 node system and IEEE-118 system. The results show that the proposed method can meet the requirements of accuracy and greatly improve the computational speed.

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不同发电机组类型下电力系统频率响应的新模型

为了准确、快速地估计大电网扰动后的系统频率特性，提出了一种基于数据驱动法的系统频率响应建模方法。首先，通过参数辨识方法，将系统中同类型的调速器模型聚合为一个单一的调速器系统;然后，利用基于状态空间方程的$\boldsymbol{H}_{\infty}$范数对其阶数进行降阶，得到了阶数相同的不同类型的调速器系统。最后，利用参数聚合的思想，得到了一阶涡轮调速器系统。根据等效一阶模型，可以快速准确地计算出扰动后的频率变化率(RoCoF)、频率最低点和稳定频率。该方法在IEEE-39节点系统和IEEE-118系统中进行了验证。结果表明，该方法能够满足精度要求，大大提高了计算速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)

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