Abstract:
Due to the technical development, support from the green energy enthusiasts and relative cost attractiveness wind energy harvesting has turn into one of the most popular renewable energy sources nowadays. When considered together with wind power plants, other power plants and transmission lines; power system has become a dynamic system which includes non-linear elements. Evaluating non-linear system with linearized method may not be sufficient to evaluate the system. Hence, advanced linear mathematical model is needed to study the wind plants connected to the grid and its oscillations. In this research, a linearized model developed with dynamic phasor approach combined with conventional small signal stability analysis is presented to analyze wind power system. The model developed is compatible with type 4 wind power plants in any capacity and can be adopted in any power system where system specifications are known.
With the help of 2MVA test system; model validation, stability analysis and a sensitivity analysis using participation factors will be carried out in order to identify dominant oscillations introduced to the grid from the plant.
Citation:
Kanchana, K.W.D.C. (2019). Small-signal stability assessment using a dynamic phasor approach : a case study of a 2MVA wind power plant [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/15904