Abstract
In recent year, renewable energy sources like wind and solar photovoltaic (PV) are rapidly evolving worldwide. Accordingly, fossil energy based conventional generators are being replaced by renewable energy sources for powering electric production in smart grid. Some low inertia issues will be brought in future smart grid and will affect system frequency stability. An estimation method of dominant electromechanical oscillation (EMO) mode based on synchrophasor data of low inertia power system is proposed. A power system with a lot of renewable energy sources tends to have low inertia power system, an accurate estimated model is difficult to achieve by existing methods, i.e., Simplified Oscillation mode (SOM) and Prony methods, because of high fluctuation of system frequency. The proposed method is developed by observing decaying signal period. Then, a dominant oscillation mode is evaluated based on the proposed method to obtain dominant frequency and damping factor. Finally, the effectiveness of proposed method is examined via traditional and low inertia power systems based on simulated synchrophasor data of a two-area smart grid, and comparisons between proposed method and existing method is also discussed.
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