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Now a days, frequency or spectral measure is one of the most important issues of the different regions of power system. The Power spectral density (PSD) estimation can give a direct indication of major areas of different power system contributing to the oscillations in a specific mode frequency, and therefore may be used in the future for determining control actions. PSD analysis also gives information on the characteristics of power signals used in control rooms for monitoring of power system dynamics thus can aid in improving the operational reliability of interconnected power system. Therefore, in this Paper, we concentrate on the study of spectral behavior of power signals of different regions such as US Eastern Interconnection, the Nordic Power system and Nigerian power system. Among different spectral estimation methods, parametric technique has been used in this Paper to estimate PSD of power signals of different regions. Parametric methods can yield higher resolutions than nonparametric methods in cases when the signals length is short as in case of blocks of power signals. These methods use a different approach to spectral estimation; instead of trying to estimate the PSD directly from the data, they model the data as the output of a linear system driven by white noise, and then attempt to estimate the parameters of that linear system. Another approach of presenting PSD, namely, spectrogram, a time-varying spectral representation that shows how the spectral density of a signal varies with time. Detail MATLAB simulations are carried out for synthetic power signals of different regions as mentioned above to investigate the performance of parametric methods in estimating PSD and to display spectrograms thus comparing spectral behavior of different regions.

Spectral Analysis of Synthetic Power Signals of Different Regions Using Parametric Methods and Spectrogram Representations