A small-interference stability rapid analysis method targeted at a large scale electric power system

Abstract

The invention discloses a small-interference stability rapid analysis method targeted at a large scale electric power system. According to the method, an electric power system network, network parameters, a dynamic element model and model parameters are firstly obtained to form a differential algebraic equation set DAE of a system. Linearization of the DAE is carried out at a system steady state point (x0, y0) to obtain a corresponding linear dynamic system. A system key oscillation modal characteristic value is computed in parallel. Finally, based on the obtained key oscillation modal characteristic value computing result, a damping ratio of the system key oscillation modal is obtained. Through comparison with a damping ratio critical value zeta0, the stability of the system is determined. If a non-stable oscillation modality exists, participation factors of system variables in the modality can be calculated according to the characteristic value obtained through calculating and a characteristic vector thereof so as to further determine dynamic elements strongly related to the non-stable oscillation modality. The method can carry out rapid analysis on small-interference stability of the large scale electric power system so as to satisfy real-time requirements.

Description

technical field [0001] The invention belongs to the technical field of stability analysis and control of power systems, and in particular relates to a rapid analysis method for small-disturbance stability of large-scale power systems. Background technique [0002] Small-disturbance stability is the basis for safe and stable operation of power systems, and small-disturbance stability analysis is a basic and important functional module for power system operation analysis and control. With the development of smart grid, new energy grid-connected power generation capacity and new load access capacity are increasing day by day, which brings new characteristics to the operation of power system, including the enhancement of system operation volatility and randomness. These characteristics require judging and analyzing the small disturbance stability of the system in a shorter time scale, timely warning of possible low-frequency oscillation phenomena, and taking preventive and corre...

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Problems solved by technology

For such a huge system, the small-disturbance stability analysis method based on the full eigenvalue theory has been difficult to adapt to the real-time requirements of small-disturbance stability analysis

For the small-disturbance stability analysis method using partial eigenvalue algorithms, in the practical application of large-scale systems, it is also difficult to meet the real-time requirements of stability analysis due to the high computational complexity

In addition, for the analysis method using some eigenvalue algorithms, there may be problems such as missing oscillation modes and poor algorithm convergence during the implementation process, resulting in unreliable stability analysis results, which are difficult to apply to production practice

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