基于響應(yīng)的電力系統(tǒng)暫態(tài)穩(wěn)定預(yù)測方法研究
[Abstract]:With the continuous development of large-scale interconnected power grid, the safe and stable operation of power network is facing new challenges, so there is a higher demand for power system transient stability analysis method. At the same time, with the rising of wide-area measurement system, it provides a new idea and new direction for power system transient stability analysis. Based on the wide-area measurement information, the on-line identification and decision analysis method of power system transient stability is studied in this paper. The main work is as follows: (1) the dynamic characteristics of transient stability process of simple system and multi-machine system are studied. The instability mechanism and stability criterion are analyzed in depth. (2) an improved least square support vector machine regression algorithm is proposed, which can predict the power angle change trajectory of every generator in the system by using wide-area measurement information, compared with the existing algorithms. The prediction time and prediction accuracy are improved obviously. (3) based on the variation rule of the power angle trajectory dispersion after disturbance, the standard deviation between the sub-sequences after phase space reconstruction is proposed as the criterion of transient stability. A new power system transient stability prediction method based on response is proposed, which can judge the stability of power system earlier. The simulation results based on IEEE standard show that the proposed method is effective and accurate. This method can be used to identify the transient stability of power system with unknown parameters or model uncertainty.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM712
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