Abstracto

Voltage Stability Margin Assessment Using Neural Network

Dr.K.Gnanambal, K.R.Jeyavelmani

As power systems become more complex and heavily loaded, voltage stability becomes an increasing serious problem. Voltage instability problem increases day by day because of the increase in demand. It is necessary to analyze the power system with respect to voltage stability. At present, solar energy is increasingly penetrating into electrical grids. It is necessary to analyze the system stability with the inclusion of PV panel. Several methods are found in the literature for the modeling of PV panel. In this work, I am going to adapt a suitable model of the photovoltaic cell. The model should be able to relate the inputs such as irradiance and temperature with the output voltage and power that can be generated by the PV panel. The PV model will be included at any one of the existing buses and the system stability will be analyzed using PSAT software. In many literatures, the voltage stability of the grid with PV panel is analyzed but they consider the PV panel as a constant power source. But it is not practically so, hence in this paper I am going to adapt a suitable PV model and hence the stability limit i.e. the maximum load ability limit of the system is obtained for various irradiance and temperature levels. The voltage stability will also be analyzed under various contingencies.