基于端口供给功率的低频振荡强相关机组识别方法

提出了一种基于调速通道端口供给功率的电力系统低频振荡主导振荡模式强相关机组识别方法。利用系统线性化模型,揭示了一般二次型能量函数和参与因子之间存在的密切联系。利用由能量函数演变而来且具有分散化特性的端口供给功率,在电力系统经典模型下,从理论上推导出了单一主导振荡模式下调速通道端口供给功率周期分量瞬时幅值分布和参与因子分布相同的结论。以此为基础,提出一种使用端口供给功率周期分量瞬时幅值分布在线识别低频振荡主导振荡模式强相关机组的方法。最后,在电力系统一般模型下,通过仿真验证了上述方法的有效性。

Identification Method for Low Frequency Oscillation Strongly Correlated Generators Based on Power Supply on the Port

A new method is proposed to identify strongly correlated generators in low frequency oscillation using the concept of energy supply on the port (ESP). The quantitative relationship between the quadratic form energy function and participating factors that indicate the active degree of generators in one oscillation mode is revealed. Inspired by the fact that the ESP concept evolved from the traditional energy function, this paper theoretically proves, under the condition of using the classical power system model, that the distribution of the instantaneous amplitudes of the periodical component of power supply on the port (PSP) is consistent with the distribution of participating factors. A heuristic method is finally presented to identify strongly correlated generators using the instantaneous amplitudes of the periodical component of PSP. Test results obtained from cases of general power system models have validated the effectiveness of the proposed method. This work is supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No. 51321005)and National Natural Science Foundation of China (No. 51177079).