The integrity, objectivity and science of the evaluation index system will be directly related to the accuracy of the evaluation results. However, studies on the quantitative assessment of the effectiveness of the simulation model are not still perfect, comprehensive, and links between relevant literatures are not close enough. The main thing is the lack of systematic summary of the theoretical literatures. Therefore, this paper is summarized in three aspects, the research results, indices classification and their respective advantages and disadvantages, the applicable range of indicators.

In this paper, an oscillation center fast positioning method and the criterion that determines whether a system is out-of-step are combined together to put forward a compound oscillation center positioning and splitting criterion with predicting function. Simulation of a classical numerical example of four-machine system in two regions and an actual example of central China-north China power grid proves that this method can pre-locate lines where oscillation center lies after out-of-step operation of the system when the system is oscillating intensely but still keeps synchronized.

In this paper, a new approach for harmonic detection in power signals based on fast modified S-transform (FMST) is proposed, which combines the advantages of the incomplete S-transform and the modified S-transform. Initially, the Fast Fourier Transform was performed and dynamic measurement values were obtained from the envelope of power spectrum, then the valid harmonic frequency points were detected by selecting the dynamic measurement values which were larger than the set thresholds. Further, the FMST was specifically performed on these major frequency points and a complex matrix was generated. The row vectors of the matrix reflected the phase and the time location information of harmonic disturbances, while the column vectors reflected the amplitude-frequency characteristics. And the feature vectors extracted from the complex matrix were used to detect the harmonic amplitude, phase and transient information. Simulation results validate the high accuracy, strong noise immunity and rapidity of the proposed approach.