A novel oscillation identification method for grid-connected renewable energy based on big data technology

Abstract

With the development of big data technology, power system has entered the era of data analysis. With the help of the massive data provided by the wide area measurement system, the power system can be easily evaluated, and the abnormal operation status can be detected and positioned. As the increase of renewable energy permeability, more new abnormal operating status have appeared in the system. Aimed at the abnormal operation state in the development of new energy, this paper proposes an oscillation location scheme based on evidence theory and support vector machine, which makes up for the limitation of single oscillation location method. The result of location analysis of oscillation energy method, oscillation phase difference method and forced oscillation phase difference location method is fused by evidence theory.