Абстрактный

Enhancement of Voltage Stability by SVC and TCSC Using Genetic Algorithm

S.K.Dheebika, Dr.R.Kalaivani

In the recent days, power demand is more than the generation due to huge loads. Hence it is difficult to operate the power system in order to maintain stable power supply. It will lead to major problems like voltage instability and power losses. To overcome these problems, Flexible AC Transmission System (FACTS) have been implemented in power system. Effective results can be obtained by placing these devices in suitable location. In this paper, the location and the ratings of FACTS devices are optimized using Genetic Algorithm (GA). The main objective is to optimize the location and ratings of FACTS devices by considering the three objectives such as the minimization of Voltage Stability Index (VSI), minimization of power losses and minimization of generation cost. Thyristor controlled series capacitor (TCSC) and Static VAR Compensator (SVC) are considered for this project. Genetic Algorithm (GA) is a an iterative method used to provide an optimal solution by solving multi objective optimization problems. The locations and ratings of SVC and TCSC are optimized in IEEE 14 bus and IEEE 30 bus systems using GA. Simulations are done by using MATLAB software. It is clear from the results that the voltage stability is enhanced well and also there is a reduction in power loss by GA when compared with the conventional method.