Identification of dominant propagation paths based on sub-synchronous oscillation using branch oscillation energy distribution coefficient

Zhanhong Wei, Xu-wang Sun, Wei Chen, Jinhui Shi
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Abstract

The large-scale integration of wind power into the power grid can cause a new type of sub-synchronous power oscillation, different from traditional thermal power generation. The oscillation energy will spread extensively in the grid, causing power oscillation and even grid-cascading events. To address this issue, this article proposes a method for quantitatively analyzing the propagation characteristics of oscillation energy based on branch oscillation energy. Firstly, analyzing the oscillation energy shared by different branches in the network based on transient energy function. Next, a method is proposed to identify the dominant propagation path of sub-synchronous oscillation by defining the oscillation energy of branches under the dominant oscillation mode and the oscillation energy distribution coefficient of each branch. The oscillation partition set formed by the dominant propagation path can be used to locate the high-risk oscillation area of the system. Finally, the effectiveness of the method proposed in this paper for studying the wide-area propagation characteristics of sub-synchronous oscillations was verified through time-domain simulation analysis.
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利用分支振荡能量分布系数识别基于次同步振荡的主要传播路径
风力发电大规模并入电网后,会产生不同于传统火力发电的新型亚同步功率振荡。振荡能量会在电网中广泛传播,引起功率振荡甚至电网级联事件。针对这一问题,本文提出了一种基于分支振荡能定量分析振荡能传播特性的方法。首先,基于瞬态能量函数分析网络中不同分支共享的振荡能量。其次,通过定义主导振荡模式下各分支的振荡能和各分支的振荡能分布系数,提出一种识别次同步振荡主导传播路径的方法。由主导传播路径形成的振荡分区集可用于定位系统的高风险振荡区域。最后,通过时域仿真分析验证了本文提出的方法在研究亚同步振荡广域传播特性方面的有效性。
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