基于WAMS录波数据的华中电网低频振荡事件仿真复现分析

Central China Grid Low Frequency Oscillation Simulation Recurrence Analysis Based on WAMS Measured Data

分析了用传统的小干扰稳定分析方法研究互联大电网运行特性时存在的不足,指出利用WAMS实测数据对研究由多重扰动原因引起的或特殊运行方式下的低频振荡现象尤为有利。结合华中电网"6.17"金竹山事件,对比了小干扰稳定分析方法和基于WAMS实测数据进行的时域仿真方法的分析结果,并针对传统的PRONY分析工具不能很好拟合不同时间段多重扰动下的暂态响应曲线这一问题,提出利用奇异熵矩阵束方法对实际振荡信号进行模态辨识。仿真结果表明,该方法是以特征值分析法为代表的传统低频振荡分析方法的有效补充,能够较为准确、及时、全面地反映电网的振荡特性。提出的方法为分析由多重扰动原因引起的或特殊运行方式下的低频振荡现象提供了参考。

The disadvantages of traditional small signal stability analysis method are analyzed for interconnected large-scale power system, and using WAMS measured data is more beneficial for researching low frequency oscillation caused by multiple disturbances or some special operation mode. Taking the power fluctuation incident which happened on June 17th 2009 in Central China Grid as an example, the results of conventional small signal stability analysis method and the proposed method are compared based on analyzing the cause and process of this incident. To solve the problem that traditional PRONY analysis tool can＇t fitting transient response curve caused by multiple disturbances under different time period effectively, singular entropy matrix pencil is proposed to identify oscillation modal for practical signals. Simulation results show that the proposed method is a powerful supplement for the traditional low frequency oscillation analysis method, and can reflect the oscillation characteristics with higher precision in timely and more comprehensively. It is an effective method for studying low - frequency oscillation resulting from multiple disturbances or some special operation mode, and is helpful for studying complicated interconnected power grids characteristics.