Node grouping for low frequency oscillation based on Pearson correlation coefficient and its application
| Autor: | Dunwen Song, Daowei Liu, Xuetao Yang, Fang-zong Wang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Correlation coefficient
Oscillation 020209 energy Automatic frequency control 02 engineering and technology Pearson product-moment correlation coefficient Electric power system symbols.namesake Control theory 0202 electrical engineering electronic engineering information engineering symbols Sensitivity (control systems) Low-frequency oscillation Cluster analysis Mathematics |
| Zdroj: | 2016 IEEE International Conference on Power System Technology (POWERCON). |
| DOI: | 10.1109/powercon.2016.7753976 |
| Popis: | Low frequency oscillation is one of the key factors threatening the security and stability of interconnected power grid. Negative damping mechanism low frequency oscillation and forced power oscillation ever have occurred in our country. Based on the center of inertia coordinates, the clustering features of oscillation units are analyzed. The principle for node grouping of low frequency oscillation based on the Pearson correlation coefficient is proposed and the clustering criterion is given. According to the equipment grouping information, the auxiliary control measures calculated by small interference sensitivity can be matched and online determined. In addition, when the local oscillation mode occurs, the method can accurately separate the oscillating source from a plurality of oscillation units. The simulation results of both the 4-machine 2-area system and the Henan electric power system indicate the feasibility and validity of the proposed method. |
| Databáze: | OpenAIRE |
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