基于PSS的优化Prony算法在电力系统低频振荡中的应用研究

Research on the application of optimized Prony algorithm based on PSS in low frequency oscillation of power system

电力工业的不断发展,对其相应的安全性、稳定性以及经济性等机能提出了更高的要求。其中,互通电力网络导致的低频振荡现象,是影响系统运行的重要因素。基于此,研究提出使用Prony算法进行信号参数分析,同时利用多项式法,以及矩阵束法进行优化;同时,考虑到负阻尼对临界稳定状态的破坏,研究建立了电力系统稳定器的数学模型,并根据分析,选择了多频段电力系统稳定器进行改善。最后,研究将优化Prony算法与其余模型进行比较,实验结果表明,研究使用方法对于低频振荡的识别类型多出一种,其信噪比达到了49.8656。因此,研究提出的基于多频段电力系统稳定器的优化Prony算法,对于低频振荡的识别与抑制效果具有可靠性。

With the continuous development of the electric power industry,the corresponding safety,stability and economic functions have been put forward higher requirements.Among them,the low-frequency oscillation caused by interworking power network is an important factor affecting the operation of the system.Based on this,Prony algorithm is used to analyze signal parameters,and polynomial method and matrix beam method are used to optimize the signal parameters.At the same time,considering the damage of negative damping to the critical stable state,the mathematical model of the power system stabilizer is established,and according to the analysis,the multi-frequency power system stabilizer is selected for improvement.Finally,the optimized Prony algorithm is compared with other models,and the experimental results show that the method used in the study has one more type of recognition for low-frequency oscillations,and the optimized PSS stabilizer can effectively improve the damping torque of the system.Therefore,the proposed optimized Prony algorithm based on multi-band power system stabilizer is reliable for the identification and suppression of low-frequency oscillations.